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1. The genomics of heart failure: design and rationale of the HERMES consortium

Author: Svati H. Shah, Olle Melander, Neneh Sallah, Quinn S. Wells, Jerome I. Rotter, Faye Zhao, Charlotte Andersson, Guðmundur Thorgeirsson, Ghazaleh Fatemifar, Alex S. F. Doney, Michael E. Dunn, David E. Lanfear, Ian Ford, Eric Boersma, Sonia Shah, Christopher Newton-Cheh, Douglas L. Mann, Niek Verweij, Carolina Roselli, Laura M. Yerges-Armstrong, Jian Yang, Christian Torp-Pedersen, Veikko Salomaa, Mary L. Biggs, Alaa Shalaby, Christoph Nowak, Stefan Gross, Patrick T. Ellinor, Mari Liis Tammesoo, Diane T. Smelser, Peter M. Visscher, Hans L. Hillege, Ruth C. Lovering, Honghuang Lin, Colin N. A. Palmer, Louis Philippe Lemieux Perreault, Jeffrey Brandimarto, Uwe Völker, Perttu Salo, Andrea Koekemoer, Rebecca Gutmann, Åsa K. Hedman, Nilesh J. Samani, Heming Xing, Faiez Zannad, Jaison Jacob, Harry Hemingway, Michael R. Brown, Franco Giulianini, Anubha Mahajan, Xing Chen, Alexander Niessner, Peter Almgren, Daniel I. Swerdlow, Gunnar Engström, Lars Lind, Tõnu Esko, Tomasz Czuba, Anna Helgadottir, Harvey D. White, David J. Stott, Johan Ärnlöv, Lars Køber, Chim C. Lang, Krishna G. Aragam, Kent D. Taylor, Anders Mälarstig, Frederick K. Kamanu, Kenneth B. Margulies, Michelle L. O'Donoghue, Andrew D. Morris, Sahar Ghasemi, J. Wouter Jukema, Jessica van Setten, Abbas Dehghan, Guillaume Paré, Luca A. Lotta, Giorgio E. M. Melloni, Albert Henry, Bruce M. Psaty, Paul M. Ridker, David J. Carey, Marie-Pierre Dubé, John S. Gottdiener, Xiaosong Wang, Per H. Svensson, Xu Chen, Patrik K. E. Magnusson, Claudia Langenberg, Alexander Teumer, Vilmantas Giedraitis, Simon de Denus, Michael W. Nagle, Marcus Dörr, Thomas P. Cappola, André G. Uitterlinden, Michael Morley, Eliana Portilla-Fernandez, J. Gustav Smith, Abirami Veluchamy, Peter Weeke, Ify R. Mordi, Unnur Thorsteinsdottir, Naveed Sattar, Folkert W. Asselbergs, Daniel I. Chasman, Daníel F. Guðbjartsson, Jonathan H. Chung, Marcus E. Kleber, Raul Weiss, Christopher P. Nelson, Spiros Denaxas, Bing Yu, Simon P. R. Romaine, Nicholas A Marston, Anjali T. Owens, Cecilia M. Lindgren, John J.V. McMurray, Joshua D. Backman, Michael V. Holmes, Stella Trompet, Hilma Holm, Kerri L. Wiggins, Jian'an Luan, Stephan B. Felix, Yifan Yang, Jemma B. Wilk, Maryam Kavousi, Markus Perola, Christian T. Ruff, Jean-Claude Tardif, G Sveinbjörnsson, Samuel C. Dudley, Nicholas J. Wareham, Teemu J. Niiranen, Andrew P. Morris, Danny Tuckwell, Maris Teder-Laving, R. Thomas Lumbers, James P. Cook, Géraldine Asselin, William A. Chutkow, Winfried März, Steven A. Lubitz, John G.F. Cleland, Bill Kraus, Ramachandran S. Vasan, Christopher M. Haggerty, Olympe Chazara, Chris Finan, Heather L. Bloom, Hans-Peter Brunner-La Rocca, Francoise Fougerousse, Kenneth Rice, Craig L. Hyde, Graciela E. Delgado, Mark Chaffin, Marc S. Sabatine, Alanna C. Morrison, Kay-Tee Khaw, Kari Stefansson, Felix Vaura, Barry London, Isabella Kardys, Aroon D. Hingorani, Hongsheng Gui, Steen Stender, René Fouodjio, Mohsen Ghanbari, Pim van der Harst, Nicholas L. Smith, Karoline Kuchenbaecker, Adriaan A. Voors, Benoit Tyl, University College of London [London] (UCL), University College London Hospitals (UCLH), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Lund University [Lund], Pfizer, Karolinska Institutet [Stockholm], Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], University of Groningen [Groningen], University of Oxford [Oxford], Dalarna University, Massachusetts General Hospital [Boston], Montreal Heart Institute - Institut de Cardiologie de Montréal, Regeneron Genetics Center, 777 Old Saw Mill River Road, Tarrytown, University of Washington [Seattle], Emory University [Atlanta, GA], Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Pennsylvania [Philadelphia], The University of Texas Health Science Center at Houston (UTHealth), Maastricht University Medical Centre (MUMC), Maastricht University [Maastricht], Department of Molecular and Functional Genomics, Geisinger, Danville, PA, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), AstraZeneca, Novartis Institutes for BioMedical Research (NIBR), University of Glasgow, University of Liverpool, Université de Montréal (UdeM), Imperial College London, University of Heidelberg, Medical Faculty, University of Dundee, Universität Greifswald - University of Greifswald, University of Minnesota Medical School, University of Minnesota System, German Center for Cardiovascular Research (DZHK), Berlin Institute of Health (BIH), Institut de Recherches Internationales Servier [Suresnes] (IRIS), Uppsala University, University of Maryland School of Medicine, University of Maryland System, University of Iceland [Reykjavik], deCODE genetics [Reykjavik], Henry Ford Hospital, Carver College of Medicine, University of Iowa, Geisinger Autism & Developmental Medicine Institute [Danville, PA, USA] (ADMI), ICIN - Netherlands Heart Institute, Leiden University Medical Center (LUMC), Netherlands Heart Institute, Partenaires INRAE, University of Cambridge [UK] (CAM), Rigshospitalet [Copenhagen], Copenhagen University Hospital, University of Leicester, Duke University [Durham], University of Iowa [Iowa City], Genentech, Inc., Genentech, Inc. [San Francisco], Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Skane University Hospital [Malmo], University of Edinburgh, Medizinische Universität Wien = Medical University of Vienna, University of Turku, National Institute for Health and Welfare [Helsinki], McMaster University [Hamilton, Ontario], Kaiser Permanente Washington Health Research Institute [Seattle] (KPWHRI), Harbor UCLA Medical Center [Torrance, Ca.], University Medical Center [Utrecht], University of Pittsburgh Medical Center [Pittsburgh, PA, États-Unis] (UPMC), University of Tartu, Aalborg University [Denmark] (AAU), Leiden University, University of Queensland [Brisbane], Ohio State University [Columbus] (OSU), Auckland City Hospital, GlaxoSmithKline, Glaxo Smith Kline, University of Texas Health Science Center, Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Duke University Medical Center, Regeneron Pharmaceuticals [Tarrytown], Vanderbilt University [Nashville], European Project, Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Cardiology, University of Oxford, University of Pennsylvania, Universiteit Leiden, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), RS: Carim - H02 Cardiomyopathy, Epidemiology, and Internal Medicine
Subjects: Male, Study Designs, Cardiomyopathy, Disease, 030204 cardiovascular system & hematology, 0302 clinical medicine, AFRICAN ANCESTRY, Epidemiology, 80 and over, WIDE ASSOCIATION, EPIDEMIOLOGY, Cardiac and Cardiovascular Systems, AGING RESEARCH, RISK, Aged, 80 and over, 0303 health sciences, Kardiologi, Genomics, Middle Aged, Prognosis, 3. Good health, Female, Cardiology and Cardiovascular Medicine, medicine.medical_specialty, Heart failure, CLASSIFICATION, Heart Failure/genetics, 03 medical and health sciences, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Internal medicine, Genetic model, medicine, Genetics, Diseases of the circulatory (Cardiovascular) system, Humans, Allele frequency, Genotyping, METAANALYSIS, 030304 developmental biology, Aged, Association studies, Study Design, business.industry, Odds ratio, ADULTS, COHORTS, medicine.disease, RC666-701, REPLICATION, business, Biomarkers, Genome-Wide Association Study
Abstract: Aims The HERMES (HEart failure Molecular Epidemiology for Therapeutic targets) consortium aims to identify the genomic and molecular basis of heart failure.Methods and results The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of >1.10 for common variants (allele frequency > 0.05) and >1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 x 10(-8) under an additive genetic model.Conclusions HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction.
Published: 2021
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2. Genetic Associations With Plasma Angiotensin Converting Enzyme 2 Concentration

Author: Christopher P. Nelson, Shu Ye, Iziah E Sama, Chim C. Lang, Leong L. Ng, Tom R. Webb, Nilesh J. Samani, Veryan Codd, Adriaan A. Voors, and Cardiovascular Centre (CVC)
Subjects: Male, Linkage disequilibrium, Chromosomes, Human, Pair 21, ACE2, Genome-wide association study, Linkage Disequilibrium, angiotensin converting enzyme 2, Gene Frequency, INDEL Mutation, Hepatocyte Nuclear Factor 1-alpha, Receptor, Aged, 80 and over, Sex Characteristics, Middle Aged, Angiotensin-converting enzyme 2, Receptors, Virus, Female, Angiotensin-Converting Enzyme 2, Coronavirus Infections, Cardiology and Cardiovascular Medicine, Risk, medicine.medical_specialty, Virus genetics, Genotype, Coronavirus disease 2019 (COVID-19), Pneumonia, Viral, severe acute respiratory syndrome, Peptidyl-Dipeptidase A, Polymorphism, Single Nucleotide, TMPRSS2, Gene Expression Regulation, Enzymologic, Betacoronavirus, Transcriptional Regulator ERG, Physiology (medical), Internal medicine, medicine, Humans, Genetic Predisposition to Disease, Sex Distribution, Allele, Pandemics, Alleles, Aged, Chromosomes, Human, X, Chromosomes, Human, Pair 12, genome-wide association study, SARS-CoV-2, business.industry, COVID-19, Endocrinology, business
Published: 2020
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3. Geographical location affects the levels and association of trimethylamine N‐oxide with heart failure mortality in BIOSTAT‐CHF: a post‐hoc analysis

Author: Toru Suzuki, Marco Metra, Chim C. Lang, Christopher P. Nelson, Andrea Salzano, John G.F. Cleland, Leong L. Ng, Stefan D. Anker, Yoshiyuki Yazaki, Adriaan A. Voors, Nilesh J. Samani, and Cardiovascular Centre (CVC)
Subjects: Male, Internationality, Trimethylamine N-oxide, 030204 cardiovascular system & hematology, Methylamines, 03 medical and health sciences, chemistry.chemical_compound, Risk model, 0302 clinical medicine, Post-hoc analysis, medicine, Humans, Multicenter Studies as Topic, Association (psychology), Location, Aged, Aged, 80 and over, Heart Failure, business.industry, Genetic variants, Middle Aged, medicine.disease, 3. Good health, chemistry, Heart failure, Female, Cardiology and Cardiovascular Medicine, business, Demography
Abstract: Additional supporting information may be found online in the Supporting Information section at the end of the article. Table S1. Added value performance for TMAO or BNP over the BIOSTAT risk model according to geographical groups. Table S2. Association between genetic variants of FMO3 and TMAO levels.
Published: 2019
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4. Effects of the coronary artery disease associated LPA and 9p21 loci on risk of aortic valve stenosis

Author: Oliver Husser, J. Gustav Smith, Costanza Pellegrini, Viktor Lazovic, Christopher P. Nelson, Lingyao Zeng, Wolfgang Koenig, Kristian Hveem, Adnan Kastrati, Colin N. A. Palmer, Heribert Schunkert, Jesper R. Gådin, Peter S. Braund, Teresa Trenkwalder, Ify R. Mordi, Chim C. Lang, Christian Hengstenberg, Per Eriksson, Radoslaw Debiec, Jonas B. Nielsen, Sarah E. Graham, Thorsten Kessler, Amparo Aracil, Andreas Martinsson, Nilesh J. Samani, Anders Franco-Cereceda, Muntaser D. Musameh, Cristen J. Willer, and Tobias Rheude
Subjects: Male, medicine.medical_specialty, Coronary Artery Disease, 030204 cardiovascular system & hematology, Lower risk, Polymorphism, Single Nucleotide, Article, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Humans, Genetic Predisposition to Disease, 030212 general & internal medicine, Allele, Aged, biology, business.industry, valvular heart disease, Case-control study, Genetic Variation, Aortic Valve Stenosis, Lipoprotein(a), Middle Aged, medicine.disease, Stenosis, Genetic Loci, Case-Control Studies, Aortic valve stenosis, biology.protein, Cardiology, Female, Chromosomes, Human, Pair 9, Cardiology and Cardiovascular Medicine, business, Genome-Wide Association Study
Abstract: Background Aortic valve stenosis (AVS) and coronary artery disease (CAD) have a significant genetic contribution and commonly co-exist. To compare and contrast genetic determinants of the two diseases, we investigated associations of the LPA and 9p21 loci, i.e. the two strongest CAD risk loci, with risk of AVS. Methods We genotyped the CAD-associated variants at the LPA (rs10455872) and 9p21 loci (rs1333049) in the GeneCAST (Genetics of Calcific Aortic STenosis) Consortium and conducted a meta-analysis for their association with AVS. Cases and controls were stratified by CAD status. External validation of findings was undertaken in five cohorts including 7880 cases and 851,152 controls. Results In the meta-analysis including 4651 cases and 8231 controls the CAD-associated allele at the LPA locus was associated with increased risk of AVS (OR 1.37; 95%CI 1.24–1.52, p = 6.9 × 10−10) with a larger effect size in those without CAD (OR 1.53; 95%CI 1.31–1.79) compared to those with CAD (OR 1.27; 95%CI 1.12–1.45). The CAD-associated allele at 9p21 was associated with a trend towards lower risk of AVS (OR 0.93; 95%CI 0.88–0.99, p = 0.014). External validation confirmed the association of the LPA risk allele with risk of AVS (OR 1.37; 95%CI 1.27–1.47), again with a higher effect size in those without CAD. The small protective effect of the 9p21 CAD risk allele could not be replicated (OR 0.98; 95%CI 0.95–1.02). Conclusions Our study confirms the association of the LPA locus with risk of AVS, with a higher effect in those without concomitant CAD. Overall, 9p21 was not associated with AVS.
Published: 2019
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5. Association of the PHACTR1/EDN1 Genetic Locus With Spontaneous Coronary Artery Dissection

Author: David Adlam, Timothy M. Olson, Nicolas Combaret, Jason C. Kovacic, Siiri E. Iismaa, Abtehale Al-Hussaini, Megan M. O'Byrne, Sara Bouajila, Adrien Georges, Ketan Mishra, Peter S. Braund, Valentina d’Escamard, Siying Huang, Marios Margaritis, Christopher P. Nelson, Mariza de Andrade, Daniella Kadian-Dodov, Catherine A. Welch, Stephani Mazurkiewicz, Xavier Jeunemaitre, Claire Mei Yi Wong, Eleni Giannoulatou, Michael Sweeting, David Muller, Alice Wood, Lucy McGrath-Cadell, Diane Fatkin, Sally L. Dunwoodie, Richard Harvey, Cameron Holloway, Jean-Philippe Empana, Xavier Jouven, Jeffrey W. Olin, Rajiv Gulati, Marysia S. Tweet, Sharonne N. Hayes, Nilesh J. Samani, Robert M. Graham, Pascal Motreff, Nabila Bouatia-Naji, Loïc Belle, Patrick Dupouy, Pierre Barnay, Nicolas Meneveau, Martine Gilard, Gilles Rioufol, Grégoire Range, Philippe Brunel, Nicolas Delarche, Emmanuelle Filippi, Louis Le Bivic, Brahim Harbaoui, Hakim Benamer, Guillaume Cayla, Olivier Varenne, Stephane Peggy Manzo-Silberman, Johanne Silvain, Christian Spaulding, Christophe Caussin, Edouard Gerbaud, Yann Valy, René Koning, Thibault Lhermusier, Stanislas Champin, Emmanuel Salengro, Arnaud Fluttaz, Amer Zabalawi, Yves Cottin, Emmanuel Teiger, Christophe Saint-Etienne, Grégory Ducrocq, Stéphanie Marliere, Emmanuel Boiffard, Pierre Aubry, Jean Louis Georges, Didier Bresson, Fabien De Poli, Gaëtan Karrillon, Vincent Roule, Laurent Bali, Mathieu Valla, Antoine Gerbay, David Houpe, Olivier Dubreuil, Arsène Monnier, Norbert Mayaud, Aurélie Manchuelle, Philippe Commeau, Marc Bedossa, Majid Nikpay, Anuj Goel, Hong-Hee Won, Leanne M. Hall, Christina Willenborg, Stavroula Kanoni, Danish Saleheen, Theodosios Kyriakou, Jemma C. Hopewell, Thomas R. Webb, Lingyao Zeng, Abbas Dehghan, Maris Alver, Sebastian M. Armasu, Kirsi Auro, Andrew Bjonnes, Daniel I. Chasman, Shufeng Chen, Ian Ford, Nora Franceschini, Christian Gieger, Christopher Grace, Stefan Gustafsson, Jie Huang, Shih-Jen Hwang, Yun Kyoung Kim, Marcus E. Kleber, King Wai Lau, Xiangfeng Lu, Yingchang Lu, Leo P. Lyytikäinen, Evelin Mihailov, Alanna Morrison, Natalia Pervjakova, Liming Qu, Lynda M. Rose, Elias Salfati, Richa Saxena, Markus Scholz, Albert V. Smith, Emmi Tikkanen, Andre Uitterlinden, Xueli Yang, Weihua Zhang, Wei Zhao, Paul S. de Vries, Natalie R. van Zuydam, Sonia S. Anand, Lars Bertram, Frank Beutner, George Dedoussis, Philippe Frossard, Dominique Gauguier, Alison H. Goodall, Omri Gottesman, Marc Haber, Bok-Ghee Han, Jianfeng Huang, Shapour Jalilzadeh, Thorsten Kessler, Inke R. König, Lars Lannfelt, Wolfgang Lieb, Lars Lind, Cecilia M. Lindgren, Maisa Lokki, Patrik K. Magnusson, Nadeem H. Mallick, Narinder Mehra, Thomas Meitinger, Fazal-ur-Rehman Memon, Andrew P. Morris, Markku S. Nieminen, Nancy L. Pedersen, Annette Peters, Loukianos S. Rallidis, Asif Rasheed, Maria Samuel, Svati H. Shah, Juha Sinisalo, Kathleen E. Stirrups, Stella Trompet, Laiyuan Wang, Khan S. Zaman, Diego Ardissino, Eric Boerwinkle, Ingrid B. Borecki, Erwin P. Bottinger, Julie E. Buring, John C. Chambers, Rory Collins, L Adrienne Cupples, John Danesh, Ilja Demuth, Roberto Elosua, Stephen E. Epstein, Tõnu Esko, Mary F. Feitosa, Oscar H. Franco, Maria Grazia Franzosi, Christopher B. Granger, Dongfeng Gu, Vilmundur Gudnason, Alistair S. Hall, Anders Hamsten, Tamara B. Harris, Stanley L. Hazen, Christian Hengstenberg, Albert Hofman, Erik Ingelsson, Carlos Iribarren, J Wouter Jukema, Pekka J. Karhunen, Bong-Jo Kim, Jaspal S. Kooner, Iftikhar J. Kullo, Terho Lehtimäki, Ruth J. Loos, Olle Melander, Andres Metspalu, Winfried März, Colin N. Palmer, Markus Perola, Thomas Quertermous, Daniel J. Rader, Paul M. Ridker, Samuli Ripatti, Robert Roberts, Veikko Salomaa, Dharambir K. Sanghera, Stephen M. Schwartz, Udo Seedorf, Alexandre F. Stewart, David J. Stott, Joachim Thiery, Pierre A. Zalloua, Christopher J. O'Donnell, Muredach P. Reilly, Themistocles L. Assimes, John R. Thompson, Jeanette Erdmann, Robert Clarke, Hugh Watkins, Sekar Kathiresan, Ruth McPherson, Panos Deloukas, Heribert Schunkert, Martin Farrall, Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, Mayo Clinic [Rochester], Service de Cardiologie Maladies Vasculaires [CHU Clermont-Ferrand], CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Victor Chang Cardiac Research Institute, University of New South Wales [Sydney] (UNSW), St. Vincent’s Clinical School [Sydney, Australia], UNSW Faculty of Medicine [Sydney], University of New South Wales [Sydney] (UNSW)-University of New South Wales [Sydney] (UNSW), Department of Health Sciences Research [Mayo Clinic] (HSR), Mayo Clinic, Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Université Paris Descartes - Faculté de Médecine (UPD5 Médecine), Université Paris Descartes - Paris 5 (UPD5), Sorbonne Université - Faculté de Médecine (SU FM), Sorbonne Université (SU), Service de génétique [CHU HEGP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Department of Cardiovascular Medicine, Mayo Clinic, Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), and Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)
Subjects: Adult, Male, medicine.medical_specialty, Myocardial infarction, Coronary Vessel Anomalies, Fibromuscular dysplasia, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Internal medicine, medicine, Prevalence, Fibromuscular Dysplasia, Humans, 030212 general & internal medicine, Vascular Diseases, Artery dissection, MESH: Australia, United Kingdom, USA, Coronary Vessel Anomalies / epidemiology, Endothelin-1 / genetics, Microfilament proteins / genetics, Genetic association, Aged, Endothelin-1, business.industry, Microfilament Proteins, Australia, Cardiovascular disease in women, Middle Aged, medicine.disease, R1, United States, 3. Good health, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Genetic Loci, Case-Control Studies, Cardiology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Female, France, Cardiology and Cardiovascular Medicine, Scad, business
Abstract: Background: \ud Spontaneous coronary artery dissection (SCAD) is an increasingly recognized cause of acute coronary syndromes (ACS) afflicting predominantly younger to middle-aged women. Observational studies have reported a high prevalence of extracoronary vascular anomalies, especially fibromuscular dysplasia (FMD) and a low prevalence of coincidental cases of atherosclerosis. PHACTR1/EDN1 is a genetic risk locus for several vascular diseases, including FMD and coronary artery disease, with the putative causal noncoding variant at the rs9349379 locus acting as a potential enhancer for the endothelin-1 (EDN1) gene.\ud \ud Objectives: \ud This study sought to test the association between the rs9349379 genotype and SCAD.\ud \ud Methods: \ud Results from case control studies from France, United Kingdom, United States, and Australia were analyzed to test the association with SCAD risk, including age at first event, pregnancy-associated SCAD (P-SCAD), and recurrent SCAD.\ud \ud Results: \ud The previously reported risk allele for FMD (rs9349379-A) was associated with a higher risk of SCAD in all studies. In a meta-analysis of 1,055 SCAD patients and 7,190 controls, the odds ratio (OR) was 1.67 (95% confidence interval [CI]: 1.50 to 1.86) per copy of rs9349379-A. In a subset of 491 SCAD patients, the OR estimate was found to be higher for the association with SCAD in patients without FMD (OR: 1.89; 95% CI: 1.53 to 2.33) than in SCAD cases with FMD (OR: 1.60; 95% CI: 1.28 to 1.99). There was no effect of genotype on age at first event, P-SCAD, or recurrence.\ud \ud Conclusions: \ud The first genetic risk factor for SCAD was identified in the largest study conducted to date for this condition. This genetic link may contribute to the clinical overlap between SCAD and FMD.
Published: 2019
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6. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

Author: Alexandre C. Pereira, Jie Yao, Makoto Hirata, Ozren Polasek, Dragana Vuckovic, Mariaelisa Graff, Jing Hua Zhao, Michael R. Brown, Xuan Deng, Barbara V. Howard, Vilmundur Gudnason, Tuomo Rankinen, Yuan Shi, Timo A. Lakka, Ulrich Broeckel, Anuradhani Kasturiratne, Eric Boerwinkle, Charles Kooperberg, Hugues Aschard, Stephen S. Rich, Pamela J. Schreiner, Dan E. Arking, Hans J. Grabe, Ilaria Gandin, Mario Sims, Carl D. Langefeld, Yii-Der Ida Chen, Meian He, W. James Gauderman, Bruce M. Psaty, Kent D. Taylor, Tõnu Esko, Olli T. Raitakari, Saima Afaq, Maik Pietzner, Federica Laguzzi, Dennis O. Mook-Kanamori, Gregory P. Wilson, Xiuqing Guo, Jaspal S. Kooner, David R. Jacobs, Yajuan Wang, Raha Pazoki, Wei Zhao, Andres Metspalu, Mary F. Feitosa, Jost B. Jonas, Tin Aung, Tamara B. Harris, Karin Leander, Nancy L. Pedersen, Charles B. Eaton, Sharon L.R. Kardia, Bernardo L. Horta, Candace M. Kammerer, Terrence Forrester, Alexander P. Reiner, Paul W. Franks, Tanika N. Kelly, Igor Rudan, Ruben N. Eppinga, Melissa A. Richard, Colin A. McKenzie, Christine Williams, Christian Gieger, Joseph H. Lee, Brigitte Kühnel, Christopher P. Nelson, Wen Bin Wei, Antonietta Robino, Anne U. Jackson, E. Shyong Tai, Alisa K. Manning, Lisa R. Yanek, Paul Elliott, Lynne E. Wagenknecht, Ananda R. Wickremasinghe, José Eduardo Krieger, Peter S. Sever, Nora Franceschini, André G. Uitterlinden, Paul M. Ridker, Yun J. Sung, Karen L. Mohlke, Thomas H. Mosley, Nilesh J. Samani, Patricia B. Munroe, Jennifer A. Smith, John M. C. Connell, H. Janaka de Silva, Nicholas Y. Q. Tan, Jian'an Luan, Jennifer E. Huffman, Anna F. Dominiczak, Carsten Oliver Schmidt, Christie M. Ballantyne, Peter J. van der Most, Anuj Goel, Jerome I. Rotter, Amy R. Bentley, Lihua Wang, Rajkumar Dorajoo, Lenore J. Launer, Yechiel Friedlander, Mickaël Canouil, Traci M. Bartz, Thomas Meitinger, Robert A. Scott, Mike A. Nalls, Xueling Sim, Sarah E. Harris, Michael A. Province, Chew-Kiat Heng, Zhe Wang, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Virginia Fisher, Leslie J. Raffel, Renée de Mutsert, Michele K. Evans, Brenda W.J.H. Penninx, Yih Chung Tham, Tin Louie, Nana Matoba, Lawrence F. Bielak, Andrea R. V. R. Horimoto, Jingmin Liu, Lynda M. Rose, Nona Sotoodehnia, Daniel I. Chasman, Jasmin Divers, John M. Starr, Patricia A. Peyser, Ervin R. Fox, Barry I. Freedman, Megan L. Grove, Jeffrey R. O'Connell, Rob M. van Dam, Michiaki Kubo, Jessica D. Faul, Fang-Chi Hsu, Yize Li, Ilja M. Nolte, Caroline Hayward, Paolo Gasparini, Chiea Chuen Khor, Changwei Li, Xu Chen, James E. Hixson, Patrik K. E. Magnusson, John C. Chambers, Yoichiro Kamatani, Sami Heikkinen, M. Abdullah Said, Martin Farrall, Alena Stančáková, Konstantin Strauch, Albert V. Smith, Yik Ying Teo, Bamidele O. Tayo, Tamar Sofer, Caizheng Yu, Maris Alver, Oscar H. Franco, Yongmei Liu, Ioanna Ntalla, Myriam Fornage, W. Craig Johnson, Dina Vojinovic, William R. Scott, David R. Weir, Yanick Hagemeijer, Raymond Noordam, Mathilde Boissel, Cornelia M. van Duijn, Karen Schwander, Jingzhong Ding, James Scott, Diana van Heemst, Ching-Yu Cheng, Woon-Puay Koh, Jianjun Liu, Kenneth J. Mukamal, Blair H. Smith, Claude Bouchard, Claudia Langenberg, Jingjing Liang, Wei Zheng, Najaf Amin, Ulf de Faire, Bing Yu, Archie Campbell, Kari E. North, Salman M. Tajuddin, Fernando Pires Hartwig, Steve B. Kritchevsky, Tibor V. Varga, Pirjo Komulainen, Hugh Watkins, Johanna Kuusisto, Kurt Lohman, Rozenn N. Lemaitre, Ani Manichaikul, Dabeeru C. Rao, Kenneth Rice, Weihua Zhang, Franco Giulianini, Reedik Mägi, Solomon K. Musani, Wanqing Wen, Nicholas J. Wareham, Charles N. Rotimi, Marzyeh Amini, Rainer Rauramaa, Nicholette D. Palmer, Annette Peters, Neil R Poulter, Benjamin Lehne, Matthias Nauck, Harold Snieder, Donald W. Bowden, M. Arfan Ikram, Lisa de las Fuentes, C. Charles Gu, Xiaofeng Zhu, Markku Laakso, Tuomas O. Kilpeläinen, Ching-Ti Liu, Michael Boehnke, Jin-Fang Chai, Lili Milani, L. Adrienne Cupples, Yuri Milaneschi, Kiang Liu, Stephen Sidney, Alan B. Zonderman, Thomas W. Winkler, Ian J. Deary, Fumihiko Takeuchi, Mary K. Wojczynski, Pim van der Harst, Leo-Pekka Lyytikäinen, Jennifer G. Robinson, Chuan Gao, Xiao-Ou Shu, Diane M. Becker, Mohsen Ghanbari, Alanna C. Morrison, Jian-Min Yuan, Tomohiro Katsuya, Ivana Kolcic, Melanie Waldenberger, Terho Lehtimäki, Heikki A. Koistinen, Erin B. Ware, Ya Xing Wang, Marie Loh, Treva Rice, Qing Duan, Aldi T. Kraja, Sabanayagam Charumathi, Tien Yin Wong, Paul S. de Vries, Yujie Wang, Muhammad Riaz, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, British Heart Foundation, Medical Research Council (MRC), Wellcome Trust, National Institute for Health Research, Luan, Jian'an [0000-0003-3137-6337], Pietzner, Maik [0000-0003-3437-9963], Zhao, Jing Hua [0000-0003-4930-3582], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, APH - Mental Health, Psychiatry, APH - Digital Health, The University of Texas Health Science Center at Houston (UTHealth), National Institutes of Health [Bethesda] (NIH), Washington University in Saint Louis (WUSTL), University of Regensburg, Queen Mary University of London (QMUL), Washington University School of Medicine in St. Louis, Harbor UCLA Medical Center [Torrance, Ca.], University of North Carolina at Chapel Hill (UNC), Singapore National Eye Centre and Duke-NUS [Singapore], Singapore Eye Research Institute [Singapore] (SERI), National University of Singapore (NUS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), University Management, Department of Medicine, University of Helsinki, Endokrinologian yksikkö, HUS Abdominal Center, Lifelines Cohort, Groningen, The Netherlands (Lifelines Cohort Study), Epidemiology, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), de Vries, Paul S, Brown, Michael R, Bentley, Amy R, Sung, Yun J, Winkler, Thomas W, Ntalla, Ioanna, Schwander, Karen, Kraja, Aldi T, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Huffman, Jennifer E, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Richard, Melissa A, Noordam, Raymond, Aschard, Hugue, Bartz, Traci M, Bielak, Lawrence F, Deng, Xuan, Dorajoo, Rajkumar, Lohman, Kurt K, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Evangelou, Evangelo, Graff, Mariaelisa, Alver, Mari, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea R V R, Hsu, Fang-Chi, Jackson, Anne U, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Lee, Joseph H, Luan, Jian'An, Lyytikäinen, Leo-Pekka, Matoba, Nana, Nolte, Ilja M, Pietzner, Maik, Riaz, Muhammad, Said, M Abdullah, Scott, Robert A, Sofer, Tamar, Stancáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Wang, Yajuan, Ware, Erin B, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Aung, Tin, Ballantyne, Christie, Boerwinkle, Eric, Broeckel, Ulrich, Campbell, Archie, Canouil, Mickaël, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Connell, John M, de Faire, Ulf, de Las Fuentes, Lisa, de Mutsert, Renée, de Silva, H Janaka, Ding, Jingzhong, Dominiczak, Anna F, Duan, Qing, Eaton, Charles B, Eppinga, Ruben N, Faul, Jessica D, Fisher, Virginia, Forrester, Terrence, Franco, Oscar H, Friedlander, Yechiel, Ghanbari, Mohsen, Giulianini, Franco, Grabe, Hans J, Grove, Megan L, Gu, C Charle, Harris, Tamara B, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hixson, James E, Howard, Barbara V, Ikram, M Arfan, Jacobs, David R, Johnson, Craig, Jonas, Jost Bruno, Kammerer, Candace M, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpeläinen, Tuomas O, Koh, Woon-Puay, Koistinen, Heikki A, Kolcic, Ivana, Kooperberg, Charle, Krieger, Jose E, Kritchevsky, Steve B, Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lemaitre, Rozenn N, Li, Yize, Liang, Jingjing, Liu, Jianjun, Liu, Kiang, Loh, Marie, Louie, Tin, Mägi, Reedik, Manichaikul, Ani W, Mckenzie, Colin A, Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L, Mosley, Thomas H, Mukamal, Kenneth J, Nalls, Mike A, Nauck, Matthia, Nelson, Christopher P, Sotoodehnia, Nona, O'Connell, Jeff R, Palmer, Nicholette D, Pazoki, Raha, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Poulter, Neil, Raffel, Leslie J, Raitakari, Olli T, Reiner, Alex P, Rice, Treva K, Rich, Stephen S, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Shi, Yuan, Sidney, Stephen, Sims, Mario, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tan, Nichola, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, van Heemst, Diana, Vuckovic, Dragana, Waldenberger, Melanie, Wang, Lihua, Wang, Yujie, Wang, Zhe, Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K, Yao, Jie, Yu, Bing, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Franks, Paul W, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo L, Kamatani, Yoichiro, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Leander, Karin, Lehtimäki, Terho, Magnusson, Patrik K E, Penninx, Brenda, Pereira, Alexandre C, Rauramaa, Rainer, Samani, Nilesh J, Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wang, Ya Xing, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Zheng, Wei, Elliott, Paul, North, Kari E, Bouchard, Claude, Evans, Michele K, Gudnason, Vilmundur, Liu, Ching-Ti, Liu, Yongmei, Psaty, Bruce M, Ridker, Paul M, van Dam, Rob M, Kardia, Sharon L R, Zhu, Xiaofeng, Rotimi, Charles N, Mook-Kanamori, Dennis O, Fornage, Myriam, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Liu, Jingmin, Rotter, Jerome I, Gauderman, W Jame, Province, Michael A, Munroe, Patricia B, Rice, Kenneth, Chasman, Daniel I, Cupples, L Adrienne, Rao, Dabeeru C, Morrison, Alanna C, and Academic Medical Center
Subjects: Male, Epidemiology, Genome-wide association study, Cardiovascular, MESH: Genotype, Substance Misuse, Alcohol Use and Health, 0302 clinical medicine, Aetiology, triglycerides, 11 Medical and Health Sciences, Public, Environmental & Occupational Health, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, MESH: Life Style, genome wide, gene-alcohol interaction, lipid levels, Lipid Measurement, Lifelines Cohort, DENSITY-LIPOPROTEIN CHOLESTEROL, MESH: Young Adult, 030220 oncology & carcinogenesis, Kexin, LOW-FREQUENCY, MESH: Cholesterol, HDL, MESH: Cholesterol, LDL, MESH: Triglycerides, HDL, Alcohol Drinking, Genotype, alcohol consumption, MESH: Phenotype, LDL, lipids, 03 medical and health sciences, Genetics, Humans, Life Style, METAANALYSIS, 01 Mathematical Sciences, Aged, MESH: Adolescent, HDL CHOLESTEROL, MESH: Humans, Science & Technology, Cholesterol, APOBEC1, Lifelines Cohort, Groningen, The Netherlands (Lifelines Cohort Study), MESH: Vascular Endothelial Growth Factor B, Racial Groups, cholesterol, The Netherlands, MESH: Adult, CONSUMPTION, chemistry, MESH: Genome-Wide Association Study, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Lipid profile, MESH: Female, MESH: Alcohol Drinking, MESH: Continental Population Groups, Vascular Endothelial Growth Factor B, Original Contributions, Blood lipids, VEGF-B, Medical and Health Sciences, Mathematical Sciences, BLOOD-LIPIDS, chemistry.chemical_compound, 2.1 Biological and endogenous factors, 030212 general & internal medicine, MESH: Aged, medicine.diagnostic_test, PLASMA, gene-environment interactions, Middle Aged, 3142 Public health care science, environmental and occupational health, Alcoholism, Phenotype, Female, gene-lifestyle interactions, genome-wide association studies, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, Groningen, Adult, Adolescent, Biology, Young Adult, medicine, CORONARY-HEART-DISEASE, Human Genome, Cholesterol, HDL, Lipid metabolism, Cholesterol, LDL, InterAct Consortium, MESH: Lipids, MESH: Male, INDIVIDUALS, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Genome-Wide Association Study
Abstract: © The Author(s) 2019. A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-Alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2- degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10?6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10?8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models. National Heart, Lung, and Blood Institute; American Heart Association Grant
Published: 2019
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7. Sex Differences in the Risk of Coronary Heart Disease Associated With Type 2 Diabetes: A Mendelian Randomization Analysis

Author: Cecilia M. Lindgren, Mark Woodward, Tricia M. Peters, Anubha Mahajan, J. Brent Richards, Folkert W. Asselbergs, Michael V. Holmes, Vincenzo Forgetta, Sanne A.E. Peters, George Davey Smith, Linda M. O’Keeffe, Christopher P. Nelson, Mark I. McCarthy, Nilesh J. Samani, Tom Palmer, and Cardiology
Subjects: Research design, Male, Endocrinology, Diabetes and Metabolism, Coronary Disease, Type 2 diabetes, 0302 clinical medicine, 030212 general & internal medicine, 10. No inequality, Type 2/epidemiology, 11 Medical and Health Sciences, Confounding, WOMEN, MEN, Mendelian Randomization Analysis, Single Nucleotide, 3. Good health, BIAS, CARDIOVASCULAR-DISEASE, Female, Life Sciences & Biomedicine, Cardiovascular and Metabolic Risk, medicine.medical_specialty, 030209 endocrinology & metabolism, STANDARD ERRORS, Polymorphism, Single Nucleotide, Endocrinology & Metabolism, 03 medical and health sciences, Sex Factors, Diabetes mellitus, Internal medicine, Mendelian randomization, Internal Medicine, medicine, Diabetes Mellitus, Humans, Risk factor, Polymorphism, Advanced and Specialized Nursing, Science & Technology, IDENTIFICATION, business.industry, Odds ratio, INSTRUMENTS, medicine.disease, Diabetes Mellitus, Type 2, Diabetes Mellitus, Type 2/epidemiology, business, Coronary Disease/etiology, Genome-Wide Association Study
Abstract: OBJECTIVE Observational studies have demonstrated that type 2 diabetes is a stronger risk factor for coronary heart disease (CHD) in women compared with men. However, it is not clear whether this reflects a sex differential in the causal effect of diabetes on CHD risk or results from sex-specific residual confounding. RESEARCH DESIGN AND METHODS Using 270 single nucleotide polymorphisms (SNPs) for type 2 diabetes identified in a type 2 diabetes genome-wide association study, we performed a sex-stratified Mendelian randomization (MR) study of type 2 diabetes and CHD using individual participant data in UK Biobank (251,420 women and 212,049 men). Weighted median, MR-Egger, MR-pleiotropy residual sum and outlier, and radial MR from summary-level analyses were used for pleiotropy assessment. RESULTS MR analyses showed that genetic risk of type 2 diabetes increased the odds of CHD for women (odds ratio 1.13 [95% CI 1.08–1.18] per 1-log unit increase in odds of type 2 diabetes) and men (1.21 [1.17–1.26] per 1-log unit increase in odds of type 2 diabetes). Sensitivity analyses showed some evidence of directional pleiotropy; however, results were similar after correction for outlier SNPs. CONCLUSIONS This MR analysis supports a causal effect of genetic liability to type 2 diabetes on risk of CHD that is not stronger for women than men. Assuming a lack of bias, these findings suggest that the prevention and management of type 2 diabetes for CHD risk reduction is of equal priority in both sexes.
Published: 2021
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8. Polygenic risk scores in cardiovascular risk prediction: A cohort study and modelling analyses

Author: Adam S. Butterworth, Scott C. Ritchie, Nilesh J. Samani, Steven Bell, Stephen Kaptoge, Matthew Arnold, Michael Inouye, Qi Guo, Frank Dudbridge, Christopher P. Nelson, Lisa Pennells, Emanuele Di Angelantonio, John R. Thompson, Angela M. Wood, Eleni Sofianopoulou, John Danesh, David Stevens, Stephen Burgess, Gad Abraham, Luanluan Sun, Thomas A. W. Bolton, Pennells, Lisa [0000-0002-8594-3061], Nelson, Christopher P. [0000-0001-8025-2897], Ritchie, Scott C. [0000-0002-8454-9548], Arnold, Matthew [0000-0001-6339-1115], Bell, Steven [0000-0001-6774-3149], Burgess, Stephen [0000-0001-5365-8760], Dudbridge, Frank [0000-0002-8817-8908], Stevens, David [0000-0001-8874-7122], Thompson, John R. [0000-0003-4819-1611], Wood, Angela [0000-0002-7937-304X], Samani, Nilesh J. [0000-0002-3286-8133], Inouye, Michael [0000-0001-9413-6520], Di Angelantonio, Emanuele [0000-0001-8776-6719], Apollo - University of Cambridge Repository, Nelson, Christopher P [0000-0001-8025-2897], Ritchie, Scott C [0000-0002-8454-9548], Thompson, John R [0000-0003-4819-1611], and Samani, Nilesh J [0000-0002-3286-8133]
Subjects: Male, Epidemiology, 030204 cardiovascular system & hematology, Cardiovascular Medicine, Biochemistry, Vascular Medicine, Cohort Studies, Welsh, 0302 clinical medicine, Medical Conditions, Endocrinology, Agency (sociology), Coronary Heart Disease, 030212 general & internal medicine, Incidence, General Medicine, Middle Aged, Medical research, C-Reactive Proteins, Lipids, Social research, Stroke, Cholesterol, Neurology, Cardiovascular Diseases, language, Medicine, Female, Cohort study, Research Article, Adult, medicine.medical_specialty, Endocrine Disorders, Cerebrovascular Diseases, Cardiology, Library science, Risk Assessment, 03 medical and health sciences, Political science, medicine, Diabetes Mellitus, Humans, Ischemic Stroke, Aged, Medicine and health sciences, Government, Biology and life sciences, Public health, Proteins, Cardiovascular Disease Risk, language.human_language, United Kingdom, Heart Disease Risk Factors, Medical Risk Factors, Metabolic Disorders, Polygenic risk score, Biomarkers
Abstract: Background Polygenic risk scores (PRSs) can stratify populations into cardiovascular disease (CVD) risk groups. We aimed to quantify the potential advantage of adding information on PRSs to conventional risk factors in the primary prevention of CVD. Methods and findings Using data from UK Biobank on 306,654 individuals without a history of CVD and not on lipid-lowering treatments (mean age [SD]: 56.0 [8.0] years; females: 57%; median follow-up: 8.1 years), we calculated measures of risk discrimination and reclassification upon addition of PRSs to risk factors in a conventional risk prediction model (i.e., age, sex, systolic blood pressure, smoking status, history of diabetes, and total and high-density lipoprotein cholesterol). We then modelled the implications of initiating guideline-recommended statin therapy in a primary care setting using incidence rates from 2.1 million individuals from the Clinical Practice Research Datalink. The C-index, a measure of risk discrimination, was 0.710 (95% CI 0.703–0.717) for a CVD prediction model containing conventional risk predictors alone. Addition of information on PRSs increased the C-index by 0.012 (95% CI 0.009–0.015), and resulted in continuous net reclassification improvements of about 10% and 12% in cases and non-cases, respectively. If a PRS were assessed in the entire UK primary care population aged 40–75 years, assuming that statin therapy would be initiated in accordance with the UK National Institute for Health and Care Excellence guidelines (i.e., for persons with a predicted risk of ≥10% and for those with certain other risk factors, such as diabetes, irrespective of their 10-year predicted risk), then it could help prevent 1 additional CVD event for approximately every 5,750 individuals screened. By contrast, targeted assessment only among people at intermediate (i.e., 5% to, Luanluan Sun and colleagues investigate whether adding polygenic risk scores to conventional risk factors of cardiovascular disease helps predict disease risk., Author summary Why was this study done? Application of polygenic risk scores (PRSs) has opened opportunities to enhance risk stratification and prevention for common diseases. The clinical utility of PRSs in cardiovascular disease (CVD) risk prediction is, however, uncertain. Previous analyses have generally focused only on coronary heart disease (CHD) rather than the composite outcome of CHD and stroke, and have often lacked modelling of clinical implications of initiating guideline-recommended interventions (e.g., statin therapy). What did the researchers do and find? We quantified the incremental predictive gain with PRSs on top of conventional risk factors using data on 306,654 individuals from UK Biobank. We modelled the population health implications of initiating statin therapy as recommended by current guidelines using data from 2.1 million individuals from the Clinical Practice Research Datalink. Addition of information on PRSs to a conventional risk prediction model increased the C-index (a measure of risk discrimination) and improved risk classification of cases and non-cases. We estimated that targeted assessment of PRSs among people at intermediate (i.e., 5% to
Published: 2021

9. Genome-wide association study of self-reported walking pace suggests beneficial effects of brisk walking on health and survival

Author: Iain R Timmins, Christopher P. Nelson, Thomas Yates, Francesco Zaccardi, Paul W. Franks, and Frank Dudbridge
Subjects: Adult, Male, 0301 basic medicine, medicine.medical_specialty, Quantitative Trait Loci, Psychological intervention, Medicine (miscellaneous), Genome-wide association study, Polymorphism, Single Nucleotide, Genome-wide association studies, White People, Article, General Biochemistry, Genetics and Molecular Biology, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, Mendelian randomization, Humans, Medicine, Mortality, Author Correction, lcsh:QH301-705.5, Aged, business.industry, Public health, Metabolic diseases, Cardiorespiratory fitness, Mendelian Randomization Analysis, Middle Aged, Heritability, Walking Speed, Preferred walking speed, 030104 developmental biology, lcsh:Biology (General), Risk factors, Cardiovascular Diseases, Female, Self Report, General Agricultural and Biological Sciences, business, human activities, Body mass index, 030217 neurology & neurosurgery, Genome-Wide Association Study, Demography
Abstract: Walking is a simple form of exercise, widely promoted for its health benefits. Self-reported walking pace has been associated with a range of cardiorespiratory and cancer outcomes, and is a strong predictor of mortality. Here we perform a genome-wide association study of self-reported walking pace in 450,967 European ancestry UK Biobank participants. We identify 70 independent associated loci (P, Iain Timmins et al. identify 70 loci associated with self-reported walking pace in the UK Biobank. Using Mendelian randomization, they find evidence for a causal link between increased walking pace and lower cardiometabolic risk profile, which combined with a low estimated heritability, suggests self-reported walking pace could be a target for healthcare intervention.
Published: 2020
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10. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction

Author: Dennis O. Mook-Kanamori, Yalda Jamshidi, Peter K. Joshi, Seung Hoan Choi, Henry J. Lin, Rebecca D. Jackson, Alison D. Murray, May E. Montasser, Veikko Salomaa, Charles Kooperberg, Moritz F. Sinner, Gianfranco Sinagra, Luisa Foco, James G. Wilson, Johan Sundström, Kathleen A. Ryan, Eric A. Whitsel, Bruno H. Stricker, Sandosh Padmanabhan, Christopher Newton-Cheh, Ozren Polasek, Unnur Thorsteinsdottir, Niek Verweij, Pier D. Lambiase, Nathan R. Tucker, Stefan Kääb, Jun Ding, Stefan Weiss, Daniel F. Gudbjartsson, David Conen, Lars Lind, Ivana Kolcic, Lu-Chen Weng, J. Wouter Jukema, Kirill V. Tarasov, Xiuqing Guo, Stella Trompet, Patricia B. Munroe, Albert V. Smith, Elsayed Z. Soliman, Andrew Tinker, Antti Jula, J. Gustav Smith, Alexander P. Reiner, Sébastien Thériault, Kathryn L. Lunetta, Vilmundur Gudnason, Mika Kähönen, Massimo Mangino, Raymond Noordam, Joshua C. Bis, Alan R. Shuldiner, Tim D. Spector, Borbala Mifsud, Stefan van Duijvenboden, Jeffrey R. O'Connell, Emelia J. Benjamin, M. Benjamin Shoemaker, Stephan B. Felix, Peter W. Macfarlane, Lorenz Risch, Uwe Völker, Stephanie M. Gogarten, Maria Fernanda Lima-Costa, Julia Ramirez, Morten S. Olesen, Konstantin Strauch, Annette Peters, Aaron Isaacs, Steven A. Lubitz, Eric Boerwinkle, Carolina Roselli, James H. Cartwright, Nathalia M. Araujo, Ruth J. F. Loos, Diane Fatkin, Harry Campbell, Blair H. Smith, Thomas Meitinger, André G. Uitterlinden, Paul L. Huang, Tamara B. Harris, Kathleen F. Kerr, David J. Porteous, Martina Müller-Nurasyid, Francesco Cucca, Michiel Rienstra, Davíð O. Arnar, Amanda A. Seyerle, Caroline Hayward, M. Abdullah Said, Catriona L. K. Barnes, Kent D. Taylor, Nona Sotoodehnia, Nina Mononen, Dan M. Roden, Jonathan Marten, Terho Lehtimäki, Dan E. Arking, Anna F. Dominiczak, Jan A. Kors, Olli T. Raitakari, Igor Rudan, Yordi J. van de Vegte, Christopher P. Nelson, Erik Ingelsson, Ulrike Peters, Girish N. Nadkarni, Eduardo Tarazona-Santos, Edward G. Lakatta, Nina Hutri-Kähönen, Bruce M. Psaty, Patrick T. Ellinor, Christian Fuchsberger, Katharina Schramm, Amelia W. Hall, M. Yldau van der Ende, Alvaro Alonso, James F. Wilson, Sheila Ulivi, Rosa B. Thorolfsdottir, Stefanie Aeschbacher, Mary L. Biggs, Marten E. van den Berg, Nilesh J. Samani, Thibaud Boutin, Vilmantas Giedraitis, Honghuang Lin, Kjell Nikus, Helen R. Warren, Arie C. Maan, James J. Cranley, Adolfo Correa, Martin Gögele, Ian Ford, Katri Sääksjärvi, Georg Ehret, Michele Orini, Susan R. Heckbert, Cecilia M. Lindgren, Jie Yao, Maria Pina Concas, Pim van der Harst, Ioanna Ntalla, Jeffrey Haessler, Jerome I. Rotter, Pashupati P. Mishra, Michael J. Cutler, Erwin P. Bottinger, Cornelia M. van Duijn, Jennifer A. Brody, Paolo Gasparini, Lenore J. Launer, Andrew P. Morris, Renée de Mutsert, Aki S. Havulinna, James P. Cook, Hilma Holm, Patrick Sulem, Alessandro De Grandi, Cristian Pattaro, Gardar Sveinbjornsson, Antonio Luiz Pinho Ribeiro, Mark J. Caulfield, Gudmar Thorleifsson, Marcus Dörr, Muhammad B. Riaz, Peter P. Pramstaller, Yong Qian, Anubha Mahajan, Cathy C. Laurie, Kenneth Rice, Mark Chaffin, Kari Stefansson, Andrew A. Hicks, Solmaz Assa, Hao Mei, Leo-Pekka Lyytikäinen, Fabiola Del Greco M, Renan P. Souza, Michael Preuss, Adrienne M. Stilp, Barry London, Melanie Waldenberger, Christy L. Avery, Daniel Levy, Michael R. Barnes, Medical Informatics, Epidemiology, Internal Medicine, Weng, Lu-Chen [0000-0003-1475-4930], Hall, Amelia Weber [0000-0002-7915-0313], Tucker, Nathan R [0000-0002-5071-4218], Chaffin, Mark D [0000-0002-1234-5562], Roselli, Carolina [0000-0001-5267-6756], Barnes, Michael R [0000-0001-9097-7381], Mifsud, Borbala [0000-0003-3429-3094], Hayward, Caroline [0000-0002-9405-9550], Concas, Maria Pina [0000-0003-3598-2537], Boutin, Thibaud [0000-0003-4754-1675], Kolcic, Ivana [0000-0001-7918-6052], Rudan, Igor [0000-0001-6993-6884], Souza, Renan P [0000-0002-9479-4432], Giedraitis, Vilmantas [0000-0003-3423-2021], Ingelsson, Erik [0000-0003-2256-6972], Mahajan, Anubha [0000-0001-5585-3420], Morris, Andrew P [0000-0002-6805-6014], Hicks, Andrew A [0000-0001-6320-0411], Sundström, Johan [0000-0003-2247-8454], Nelson, Christopher P [0000-0001-8025-2897], Riaz, Muhammad B [0000-0002-5512-1745], Sinagra, Gianfranco [0000-0003-2700-8478], Mishra, Pashupati P [0000-0001-5177-3431], Caulfield, Mark J [0000-0001-9295-3594], Dominiczak, Anna [0000-0003-4913-3608], Risch, Lorenz [0000-0003-2692-6699], Joshi, Peter K [0000-0002-6361-5059], Wilson, James F [0000-0001-5751-9178], Isaacs, Aaron [0000-0001-5037-4834], van Duijn, Cornelia M [0000-0002-2374-9204], Gudnason, Vilmundur [0000-0001-5696-0084], Smith, Albert V [0000-0003-1942-5845], Loos, Ruth JF [0000-0002-8532-5087], Preuss, Michael H [0000-0001-5266-8465], Correa, Adolfo [0000-0002-9501-600X], Müller-Nurasyid, Martina [0000-0003-3793-5910], Waldenberger, Melanie [0000-0003-0583-5093], Mangino, Massimo [0000-0002-2167-7470], Rienstra, Michiel [0000-0002-2581-070X], van der Harst, Pim [0000-0002-2713-686X], Verweij, Niek [0000-0002-4303-7685], Fatkin, Diane [0000-0002-9010-9856], Brody, Jennifer A [0000-0001-8509-148X], Rice, Kenneth [0000-0002-3071-7278], Pattaro, Cristian [0000-0002-4119-0109], Wouter Jukema, J [0000-0002-3246-8359], Weiss, Stefan [0000-0002-3553-4315], Havulinna, Aki S [0000-0002-4787-8959], Sääksjärvi, Katri [0000-0002-5061-4911], Salomaa, Veikko [0000-0001-7563-5324], Rotter, Jerome I [0000-0001-7191-1723], Taylor, Kent D [0000-0002-2756-4370], Lakatta, Edward G [0000-0002-4772-0035], Lin, Honghuang [0000-0003-3043-3942], Lunetta, Kathryn L [0000-0002-9268-810X], Murray, Alison D [0000-0003-4915-4847], Porteous, David J [0000-0003-1249-6106], Smith, Blair H [0000-0002-5362-9430], Uitterlinden, André [0000-0002-7276-3387], Peters, Ulrike [0000-0001-5666-9318], Alonso, Alvaro [0000-0002-2225-8323], Ehret, Georg B [0000-0002-5730-0675], Soliman, Elsayed Z [0000-0001-5632-8150], Gogarten, Stephanie M [0000-0002-7231-9745], Kerr, Kathleen F [0000-0002-6438-9583], Abdullah Said, M [0000-0003-2920-7745], Orini, Michele [0000-0001-5773-0344], Ramirez, Julia [0000-0003-4130-5866], Van Duijvenboden, Stefan [0000-0001-8897-558X], Gudbjartsson, Daniel F [0000-0002-5222-9857], Sulem, Patrick [0000-0001-7123-6123], Thorolfsdottir, Rosa B [0000-0001-7475-0398], Benjamin, Emelia J [0000-0003-4076-2336], Stefansson, Kari [0000-0003-1676-864X], Ellinor, Patrick T [0000-0002-2067-0533], Jamshidi, Yalda [0000-0003-0151-6482], Lubitz, Steven A [0000-0002-9599-4866], Munroe, Patricia B [0000-0002-4176-2947], Apollo - University of Cambridge Repository, Medicum, Institute for Molecular Medicine Finland, Complex Disease Genetics, Helsinki Institute of Life Science HiLIFE, University of Helsinki, Cardiovascular Centre (CVC), Ntalla, I., Weng, L. -C., Cartwright, J. H., Hall, A. W., Sveinbjornsson, G., Tucker, N. R., Choi, S. H., Chaffin, M. D., Roselli, C., Barnes, M. R., Mifsud, B., Warren, H. R., Hayward, C., Marten, J., Cranley, J. J., Concas, M. P., Gasparini, P., Boutin, T., Kolcic, I., Polasek, O., Rudan, I., Araujo, N. M., Lima-Costa, M. F., Ribeiro, A. L. P., Souza, R. P., Tarazona-Santos, E., Giedraitis, V., Ingelsson, E., Mahajan, A., Morris, A. P., Del Greco M, F., Foco, L., Gogele, M., Hicks, A. A., Cook, J. P., Lind, L., Lindgren, C. M., Sundstrom, J., Nelson, C. P., Riaz, M. B., Samani, N. J., Sinagra, G., Ulivi, S., Kahonen, M., Mishra, P. P., Mononen, N., Nikus, K., Caulfield, M. J., Dominiczak, A., Padmanabhan, S., Montasser, M. E., O'Connell, J. R., Ryan, K., Shuldiner, A. R., Aeschbacher, S., Conen, D., Risch, L., Theriault, S., Hutri-Kahonen, N., Lehtimaki, T., Lyytikainen, L. -P., Raitakari, O. T., Barnes, C. L. K., Campbell, H., Joshi, P. K., Wilson, J. F., Isaacs, A., Kors, J. A., van Duijn, C. M., Huang, P. L., Gudnason, V., Harris, T. B., Launer, L. J., Smith, A. V., Bottinger, E. P., Loos, R. J. F., Nadkarni, G. N., Preuss, M. H., Correa, A., Mei, H., Wilson, J., Meitinger, T., Muller-Nurasyid, M., Peters, A., Waldenberger, M., Mangino, M., Spector, T. D., Rienstra, M., van de Vegte, Y. J., van der Harst, P., Verweij, N., Kaab, S., Schramm, K., Sinner, M. F., Strauch, K., Cutler, M. J., Fatkin, D., London, B., Olesen, M., Roden, D. M., Benjamin Shoemaker, M., Gustav Smith, J., Biggs, M. L., Bis, J. C., Brody, J. A., Psaty, B. M., Rice, K., Sotoodehnia, N., De Grandi, A., Fuchsberger, C., Pattaro, C., Pramstaller, P. P., Ford, I., Wouter Jukema, J., Macfarlane, P. W., Trompet, S., Dorr, M., Felix, S. B., Volker, U., Weiss, S., Havulinna, A. S., Jula, A., Saaksjarvi, K., Salomaa, V., Guo, X., Heckbert, S. R., Lin, H. J., Rotter, J. I., Taylor, K. D., Yao, J., de Mutsert, R., Maan, A. C., Mook-Kanamori, D. O., Noordam, R., Cucca, F., Ding, J., Lakatta, E. G., Qian, Y., Tarasov, K. V., Levy, D., Lin, H., Newton-Cheh, C. H., Lunetta, K. L., Murray, A. D., Porteous, D. J., Smith, B. H., Stricker, B. H., Uitterlinden, A., van den Berg, M. E., Haessler, J., Jackson, R. D., Kooperberg, C., Peters, U., Reiner, A. P., Whitsel, E. A., Alonso, A., Arking, D. E., Boerwinkle, E., Ehret, G. B., Soliman, E. Z., Avery, C. L., Gogarten, S. M., Kerr, K. F., Laurie, C. C., Seyerle, A. A., Stilp, A., Assa, S., Abdullah Said, M., Yldau van der Ende, M., Lambiase, P. D., Orini, M., Ramirez, J., Van Duijvenboden, S., Arnar, D. O., Gudbjartsson, D. F., Holm, H., Sulem, P., Thorleifsson, G., Thorolfsdottir, R. B., Thorsteinsdottir, U., Benjamin, E. J., Tinker, A., Stefansson, K., Ellinor, P. T., Jamshidi, Y., Lubitz, S. A., Munroe, P. B., Fysiologie, RS: FHML MaCSBio, RS: Carim - B01 Blood proteins & engineering, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), School of Engineering and Natural Sciences (UI), Háskóli Íslands, and University of Iceland
Subjects: 0301 basic medicine, Male, Multifactorial Inheritance, General Physics and Astronomy, Gene Expression, Genome-wide association study, 030204 cardiovascular system & hematology, Arrhythmias, Genome-wide association studies, CALCINEURIN, Electrocardiography, 0302 clinical medicine, Cardiovascular Disease, Multi-ancestry GWAS, ELEMENTS, Medicine, Cardiac and Cardiovascular Systems, Blóðrásarsjúkdómar, lcsh:Science, RISK, DECREASE, education.field_of_study, Multidisciplinary, Kardiologi, medicine.diagnostic_test, 1184 Genetics, developmental biology, physiology, Atrial fibrillation, 3142 Public health care science, environmental and occupational health, 3. Good health, Endophenotype, Arrhythmias, Cardiac, Cardiovascular Diseases, Endophenotypes, Female, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Humans, Quantitative Trait Loci, cardiovascular system, Cardiology, medicine.symptom, Erfðarannsóknir, Cardiac, Medical Genetics, Human, Bradycardia, medicine.medical_specialty, Science, GENOME-WIDE ASSOCIATION, ATRIAL-FIBRILLATION, MUTATIONS, DURATION, CARDIOMYOPATHY, BRADYCARDIA, Population, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Internal medicine, Cardiac conduction, PR interval, education, Medicinsk genetik, business.industry, Cardiovascular genetics, General Chemistry, Arfgengi, medicine.disease, 030104 developmental biology, lcsh:Q, business
Abstract: Publisher's version (útgefin grein), The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease., We provide all investigator and study-specific acknowledgements in Supplementary Note 1, and funding sources in Supplementary Note 2.
Published: 2020
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11. KCND3 potassium channel gene variant confers susceptibility to electrocardiographic early repolarization pattern

Author: Christian P. Müller, Patricia B. Munroe, Philipp S. Wild, Teresa Trenkwalder, Christian Hengstenberg, Georg Schmidt, Yalda Jamshidi, Stephan B. Felix, Renate B. Schnabel, Nilesh J. Samani, Jan A. Kors, Peter S. Braund, Bruno H. Stricker, Bernhard M. Kaess, Solmaz Assa, C. Pattaro, Uwe Völker, Matthias Nauck, M. Arfan Ikram, Thomas Münzel, Mobeen Zafar, Isabel Deisenhofer, Niek Verweij, Alexander Teumer, Alessandra Rossini, Christopher P. Nelson, Thorsten Kessler, Anna F. Dominiczak, Tim D. Spector, Harold Snieder, Marten E. van den Berg, André G. Uitterlinden, Rachel Bastiaenen, Maryam Kavousi, Christian Fuchsberger, Sandosh Padmanabhan, Claudia P. Cabrera, Leanne M. Hall, Klaus Stark, Helen R. Warren, Norbert Pfeiffer, Heribert Schunkert, Karl J. Lackner, Ilja M. Nolte, Elijah R. Behr, Marcus Dörr, Peter P. Pramstaller, Marzia De Bortoli, Martin Gögele, Pim van der Harst, Wibke Reinhard, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Epidemiology, and Medical Informatics
Subjects: Male, 0301 basic medicine, Genotype, Heart Ventricles, Genome-wide association study, Locus (genetics), Biology, Polymorphism, Single Nucleotide, White People, Sudden cardiac death, Electrocardiography, 03 medical and health sciences, 0302 clinical medicine, Genetic variation, medicine, Genetic predisposition, Humans, SNP, GWAS, Genetic Predisposition to Disease, J-POINT ELEVATION, S422L, Allele, GENOME-WIDE ASSOCIATION, Gene, MUTATION, Alleles, METAANALYSIS, Genetics, General Medicine, medicine.disease, ddc, Death, Sudden, Cardiac, Shal Potassium Channels, 030104 developmental biology, Genetic Loci, 030220 oncology & carcinogenesis, Ventricular Fibrillation, CORONARY-ARTERY-DISEASE, Female, VENTRICULAR-FIBRILLATION, Clinical Medicine, Transcriptome, Genome-Wide Association Study
Abstract: BACKGROUND: The presence of an early repolarization pattern (ERP) on the surface ECG is associated with risk of ventricular fibrillation and sudden cardiac death. Family studies have shown that ERP is a highly heritable trait, but molecular genetic determinants are unknown. METHODS: To identify genetic susceptibility loci for ERP, we performed a GWAS and meta-analysis in 2,181 cases and 23,641 controls of European ancestry. RESULTS: We identified a genome-wide significant (P < 5 × 10(–8)) locus in the potassium voltage-gated channel subfamily D member 3 (KCND3) gene that was successfully replicated in additional 1,124 cases and 12,510 controls. A subsequent joint meta-analysis of the discovery and replication cohorts identified rs1545300 as the lead SNP at the KCND3 locus (OR 0.82 per minor T allele, P = 7.7 × 10(–)12) but did not reveal additional loci. Colocalization analyses indicate causal effects of KCND3 gene expression levels on ERP in both cardiac left ventricle and tibial artery. CONCLUSIONS: In this study, we identified for the first time to our knowledge a genome-wide significant association of a genetic variant with ERP. Our findings of a locus in the KCND3 gene provide insights not only into the genetic determinants but also into the pathophysiological mechanism of ERP, discovering a promising candidate for functional studies. FUNDING: This project was funded by the German Center for Cardiovascular Research (DZHK Shared Expertise SE081 – STATS). For detailed funding information per study, see the Supplemental Acknowledgments.
Published: 2019

12. Inherited myeloproliferative neoplasm risk affects haematopoietic stem cells

Author: Connor A. Emdin, Mark J. Daly, Aki S. Havulinna, Aitzkoa Lopez de Lapuente Portilla, Saiju Pyarajan, Christopher P. Nelson, Pradeep Natarajan, Bo Li, Tuomo Kiiskinen, Benjamin M. Neale, Aviv Regev, John E. Dick, Christopher J. Walker, Marcin Tabaka, Xiaotian Liao, Juha Karjalainen, Aarno Palotie, Claire Churchhouse, Christopher J. O'Donnell, Daryl E. Klein, Peter W.F. Wilson, Michael Milyavsky, Vijay G. Sankaran, Albert de la Chapelle, Olga I. Gan, Caleb A. Lareau, Alexander G. Bick, Björn Nilsson, Erik L. Bao, Nilesh J. Samani, Satish K. Nandakumar, Veryan Codd, J. Michael Gaziano, Sekar Kathiresan, and Kelly Cho
Subjects: 0301 basic medicine, Male, Risk, medicine.medical_specialty, Somatic cell, Genome-wide association study, Biology, Article, 03 medical and health sciences, 0302 clinical medicine, Gene mapping, Internal medicine, Neoplasms, Proto-Oncogene Proteins, medicine, Leukocytes, Humans, Cell Lineage, Genetic Predisposition to Disease, Cell Self Renewal, CHEK2, Myeloproliferative neoplasm, Genetics, Multidisciplinary, Hematology, Myeloproliferative Disorders, food and beverages, Telomere Homeostasis, medicine.disease, Hematopoietic Stem Cells, Repressor Proteins, Haematopoiesis, Checkpoint Kinase 2, 030104 developmental biology, 030220 oncology & carcinogenesis, Female, Stem cell
Abstract: Myeloproliferative neoplasms (MPNs) are blood cancers that are characterized by the excessive production of mature myeloid cells and arise from the acquisition of somatic driver mutations in haematopoietic stem cells (HSCs). Epidemiological studies indicate a substantial heritable component of MPNs that is among the highest known for cancers1. However, only a limited number of genetic risk loci have been identified, and the underlying biological mechanisms that lead to the acquisition of MPNs remain unclear. Here, by conducting a large-scale genome-wide association study (3,797 cases and 1,152,977 controls), we identify 17 MPN risk loci (P
Published: 2019

13. Genome-wide association meta-analysis of 30,000 samples identifies seven novel loci for quantitative ECG traits

Author: Yalda Jamshidi, Paul I.W. de Bakker, J. Wouter Jukema, Ilaria Gandin, Monika Stoll, Christopher P. Nelson, Moritz F. Sinner, Eco J. C. de Geus, André G. Uitterlinden, Jan A. Kors, Vilmundur Gudnason, Sheila Ulivi, Jouke-Jan Hottenga, Terho Lehtimäki, Antonietta Robino, Mark Eijgelsheim, Annamaria Iorio, Niek Verweij, Martina Müller-Nurasyid, Ian Ford, Hao Mei, James G. Wilson, Albert V. Smith, Thomas Meitinger, Gianfranco Sinagra, Claudia T. Silva Aldana, Maartje N. Niemeijer, Torben Hansen, Allan Linneberg, Jennifer A. Brody, Pim van der Harst, Stella Trompet, Paolo Gasparini, Bram P. Prins, Stefan Kääb, Hamdi Mbarek, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Dan E. Arking, Peter W. Macfarlane, Annette Peters, Olli T. Raitakari, Daiane Hemerich, Mark J. Caulfield, Folkert W. Asselbergs, Dorret I. Boomsma, Aaron Isaacs, Bruno H. Stricker, Tamara B. Harris, Susan R. Heckbert, Jessica van Setten, Niels Grarup, Patricia B. Munroe, Leo-Pekka Lyytikäinen, Nilesh J. Samani, Cornelia M. van Duijn, Elsayed Z. Soliman, Nona Sotoodehnia, Jørgen K. Kanters, Melanie Waldenberger, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, APH - Methodology, APH - Personalized Medicine, Erasmus MC other, Epidemiology, Medical Informatics, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, van Setten, Jessica, Verweij, Niek, Mbarek, Hamdi, Niemeijer, Maartje N., Trompet, Stella, Arking, Dan E., Brody, Jennifer A., Gandin, Ilaria, Grarup, Niel, Hall, Leanne M., Hemerich, Daiane, Lyytikäinen, Leo-Pekka, Mei, Hao, Müller-Nurasyid, Martina, Prins, Bram P., Robino, Antonietta, Smith, Albert V., Warren, Helen R., Asselbergs, Folkert W., Boomsma, Dorret I., Caulfield, Mark J., Eijgelsheim, Mark, Ford, Ian, Hansen, Torben, Harris, Tamara B., Heckbert, Susan R., Hottenga, Jouke-Jan, Iorio, Anita, Kors, Jan A., Linneberg, Allan, Macfarlane, Peter W., Meitinger, Thoma, Nelson, Christopher P., Raitakari, Olli T., Silva Aldana, Claudia T., Sinagra, Gianfranco, Sinner, Moritz, Soliman, Elsayed Z., Stoll, Monika, Uitterlinden, Andre, van Duijn, Cornelia M., Waldenberger, Melanie, Alonso, Alvaro, Gasparini, Paolo, Gudnason, Vilmundur, Jamshidi, Yalda, Kääb, Stefan, Kanters, Jørgen K., Lehtimäki, Terho, Munroe, Patricia B., Peters, Annette, Samani, Nilesh J., Sotoodehnia, Nona, Ulivi, Sheila, Wilson, James G., de Geus, Eco J. C., Jukema, J. Wouter, Stricker, Bruno, van der Harst, Pim, de Bakker, Paul I. W., Isaacs, Aaron, Cardiovascular Centre (CVC), Biochemie, RS: FHML MaCSBio, RS: CARIM - R1 - Thrombosis and haemostasis, and RS: Carim - B01 Blood proteins & engineering
Subjects: Male, Netherlands Twin Register (NTR), Genetics, Genetics (clinical), PROTEIN, Genome-wide association study, Quantitative trait, Genome-wide association studies, ANNOTATION, Gene locus, Electrocardiography, Computer model, Netherlands, Priority journal, Allele, 0303 health sciences, Genome, Rr interval, 030305 genetics & heredity, COMMON VARIANTS, ddc, GLUCOCORTICOID-RECEPTOR, Qrs interval, Female, Cohort analysis, Erfðarannsóknir, PHOSPHOLAMBAN, Human, QT INTERVAL DURATION, Genotype, Heart rate, HEART-RATE, Exon, Single-nucleotide polymorphism, Major clinical study, Biology, Quantitative trait locus, Dutchman, Polymorphism, Single Nucleotide, QT interval, Article, Sample, 03 medical and health sciences, QRS complex, Genetic, SDG 3 - Good Health and Well-being, Humans, PR interval, Gene mapping, Genetic association, MUTATIONS, Follow up, CONTRACTILITY, DNA-rannsóknir, R1, Gene frequency, POLYMORPHISM, Electrocardiogram, Single nucleotide polymorphism, Minor allele frequency, Genetic Loci, Meta analysis, Qt interval, Genome-Wide Association Study
Abstract: Publisher's version (útgefin grein), Genome-wide association studies (GWAS) of quantitative electrocardiographic (ECG) traits in large consortia have identified more than 130 loci associated with QT interval, QRS duration, PR interval, and heart rate (RR interval). In the current study, we meta-analyzed genome-wide association results from 30,000 mostly Dutch samples on four ECG traits: PR interval, QRS duration, QT interval, and RR interval. SNP genotype data was imputed using the Genome of the Netherlands reference panel encompassing 19 million SNPs, including millions of rare SNPs (minor allele frequency < 5%). In addition to many known loci, we identified seven novel locus-trait associations: KCND3, NR3C1, and PLN for PR interval, KCNE1, SGIP1, and NFKB1 for QT interval, and ATP2A2 for QRS duration, of which six were successfully replicated. At these seven loci, we performed conditional analyses and annotated significant SNPs (in exons and regulatory regions), demonstrating involvement of cardiac-related pathways and regulation of nearby genes., Folkert W. Asselbergs is supported by UCL Hospitals NIHR Biomedical Research Centre.
Published: 2019
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14. A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Author: Bamidele O. Tayo, RJ Waken, Mario Sims, Diane M. Becker, Tõnu Esko, Yingchang Lu, Pamela J. Schreiner, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Archie Campbell, Ozren Polasek, Salman M. Tajuddin, Jing Hua Zhao, Barbara V. Howard, Saima Afaq, Vilmundur Gudnason, Lynda M. Rose, Francis S. Collins, Massimiliano Cocca, Ruth J. F. Loos, Yii-Der Ida Chen, W. James Gauderman, Jaspal S. Kooner, Lawrence F. Bielak, Ulrich Broeckel, Anuradhani Kasturiratne, Melissa A. Richard, Tomohiro Katsuya, Nicola D. Kerrison, Tin Aung, Lisa de las Fuentes, Lynne E. Wagenknecht, Oscar H. Franco, Yongmei Liu, Eric Boerwinkle, Nana Matoba, Saskia P. Hagenaars, Rob M. van Dam, Tibor V. Varga, Nilesh J. Samani, Tangchun Wu, Thomas H. Mosley, Caroline Hayward, Joseph H. Lee, Frida Renström, Tamara B. Harris, Alena Stančáková, Adesola Ogunniyi, Wen Bin Wei, Lenore J. Launer, Marcus Dörr, Xiuqing Guo, Jennifer A. Smith, Terho Lehtimäki, Dan E. Arking, Fang-Chi Hsu, Karin Leander, Martin Farrall, Konstantin Strauch, Albert V. Smith, Richard S. Cooper, Chiea Chuen Khor, Changwei Li, James E. Hixson, Sami Heikkinen, David R. Weir, Pirjo Komulainen, Renée de Mutsert, Raymond Noordam, Ubaydah Nasri, Paul M. Ridker, C. Charles Gu, Tamuno Alfred, Jerome I. Rotter, Nora Franceschini, Nita G. Forouhi, Lihua Wang, Alanna C. Morrison, Jian-Min Yuan, Ching-Yu Cheng, Peter S. Braund, Paul Elliott, Gregory P. Wilson, Jianjun Liu, Xiaofeng Zhu, Markku Laakso, Christian Gieger, Yukihide Momozawa, Rainer Rettig, Carsten Oliver Schmidt, Amy R. Bentley, Wei Zhao, Ioanna Ntalla, Kenneth Rice, Yoichiro Kamatani, Andres Metspalu, Helen R. Warren, Yechiel Friedlander, Susan Redline, Kurt Lohman, Cornelia M. van Duijn, Aravinda Chakravarti, Traci M. Bartz, Sarah E. Harris, Yih Chung Tham, He Gao, Mike A. Nalls, Mathilde Boissel, Donna K. Arnett, Harold Snieder, James S. Pankow, Babatunde L. Salako, Laura J. Bierut, Tin Louie, Albertine J. Oldehinkel, Xueling Sim, Thomas Meitinger, Maris Alver, Claudia Langenberg, Stephen B. Kritchevsky, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Alexandre C. Pereira, Michael R. Brown, Karen Schwander, Charles Kooperberg, Blair H. Smith, Annette Peters, Fernando Pires Hartwig, Yanhua Zhou, Jie Yao, Alisa K. Manning, Keng-Hung Lin, Dennis O. Mook-Kanamori, Ervin R. Fox, Tuomo Rankinen, Timo A. Lakka, Charles N. Rotimi, Nicholette D. Palmer, Jiang He, Nicholas J. Wareham, Jingmin Liu, Yun Ju Sung, Cathy C. Laurie, Donald W. Bowden, Yong-Bing Xiang, Lisa R. Yanek, B. Kuhnel, Nancy L. Pedersen, Yajuan Wang, Ananda R. Wickremasinghe, Jonathan Marten, Yi-Jen Hung, Dabeeru C. Rao, Bernardo L. Horta, Joel D. Kaufman, Barry I. Freedman, Chuan Gao, Olli T. Raitakari, Reedik Mägi, Solomon K. Musani, Albert Hofman, Wanqing Wen, Heming Wang, Xiao-Ou Shu, Y Liu, Mark J. Caulfield, Meian He, Daniel I. Chasman, Carl D. Langefeld, Charumathi Sabanayagam, Bruce M. Psaty, Jasmin Divers, R. Graham Barr, Chew-Kiat Heng, Stella Aslibekyan, John M. Starr, Stefan Weiss, Anuj Goel, Tuomas O. Kilpeläinen, Terrence Forrester, Mary F. Feitosa, Jost B. Jonas, Kae-Woei Liang, Colleen M. Sitlani, Daniel Levy, Marie Loh, Qing Duan, Aldi T. Kraja, Tien Yin Wong, Myriam Fornage, Andrea R. V. R. Horimoto, Michele K. Evans, David J. Porteous, Dina Vojinovic, Hua Tang, Michael A. Province, Ching-Ti Liu, Rainer Rauramaa, William R. Scott, Cora E. Lewis, Charles B. Eaton, Sharon L.R. Kardia, Michael Boehnke, James Scott, Colin A McKenzie, Jin-Fang Chai, Woon-Puay Koh, Yucheng Jia, Claude Bouchard, Peter S. Sever, Koichi Matsuda, Najaf Amin, Ulf de Faire, Walter Palmas, André G. Uitterlinden, Thomas T. Perls, Erin B. Ware, Wayne Huey-Herng Sheu, Michiaki Kubo, Ya Xing Wang, Hugh Watkins, Steven C. Hunt, Weihua Zhang, Johanna Kuusisto, Lili Milani, Rajkumar Dorajoo, Georg Ehret, L. Adrienne Cupples, Franco Giulianini, Zoltán Kutalik, Jose E Krieger, Kevin Sandow, Bruna Gigante, Alexander P. Reiner, Preeti Gupta, Heikki A. Koistinen, Treva Rice, Patricia B. Munroe, Wen-Jane Lee, Jennifer A. Brody, Paolo Gasparini, Paul W. Franks, Yik Ying Teo, Leo-Pekka Lyytikäinen, Thomas W. Winkler, Patricia A. Peyser, Ian J. Deary, Jessica D. Faul, Sing Hui Lim, Fumihiko Takeuchi, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, E. Shyong Tai, Candace M Kammerer, Mary K. Wojczynski, Pim van der Harst, Marzyeh Amini, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Benjamin Lehne, M. Waldenberger, Jeffrey R. O'Connell, Hugues Aschard, Ilaria Gandin, Kent D. Taylor, Igor Rudan, Christopher P. Nelson, John M. C. Connell, Jian'an Luan, Mickaël Canouil, Robert A. Scott, Yize Li, Marguerite R. Irvin, Sung, Yun Ju, de Las Fuentes, Lisa, Winkler, Thomas W, Chasman, Daniel I, Bentley, Amy R, Kraja, Aldi T, Ntalla, Ioanna, Warren, Helen R, Guo, Xiuqing, Schwander, Karen, Manning, Alisa K, Brown, Michael R, Aschard, Hugue, Feitosa, Mary F, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Kilpeläinen, Tuomas O, Richard, Melissa A, Aslibekyan, Stella, Bartz, Traci M, Dorajoo, Rajkumar, Li, Changwei, Liu, Yongmei, Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M, Tayo, Bamidele O, Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea R V R, Hsu, Fang-Chi, Jackson, Anne U, Kammerer, Candace M, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, Luan, Jian'An, Lyytikäinen, Leo-Pekka, Mckenzie, Colin A, Nelson, Christopher P, Noordam, Raymond, Scott, Robert A, Sheu, Wayne H H, Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J, Varga, Tibor V, Waken, Robert J, Wang, Heming, Wang, Yajuan, Ware, Erin B, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan E, Aung, Tin, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Braund, Peter S, Brody, Jennifer A, Broeckel, Ulrich, Cade, Brian, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Cocca, Massimiliano, Collins, Francis S, Connell, John M, de Mutsert, Renée, de Silva, H Janaka, Dörr, Marcu, Duan, Qing, Eaton, Charles B, Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D, Forouhi, Nita G, Franco, Oscar H, Friedlander, Yechiel, Gao, He, Gigante, Bruna, Gu, C Charle, Gupta, Preeti, Hagenaars, Saskia P, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hofman, Albert, Howard, Barbara V, Hunt, Steven C, Irvin, Marguerite R, Jia, Yucheng, Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D, Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A, Kooperberg, Charles B, Krieger, Jose E, Kubo, Michiaki, Kutalik, Zoltan, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Joseph H, Lehne, Benjamin, Levy, Daniel, Lewis, Cora E, Li, Yize, Lim, Sing Hui, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Yeheng, Loh, Marie, Lohman, Kurt K, Louie, Tin, Mägi, Reedik, Matsuda, Koichi, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Mosley, Thomas H, Nalls, Mike A, Nasri, Ubaydah, O'Connell, Jeff R, Ogunniyi, Adesola, Palmas, Walter R, Palmer, Nicholette D, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Porteous, David, Raitakari, Olli T, Renström, Frida, Rice, Treva K, Ridker, Paul M, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L, Sandow, Kevin, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Sims, Mario, Sitlani, Colleen M, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Wilson, Gregory, Wojczynski, Mary K, Xiang, Yong-Bing, Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Chen, Yii-Der Ida, Weir, David R, de Faire, Ulf, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost Bruno, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K E, Oldehinkel, Albertine J, Pereira, Alexandre C, Perls, Thoma, Rauramaa, Rainer, Redline, Susan, Rettig, Rainer, Samani, Nilesh J, Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wareham, Nicholas J, Watkins, Hugh, Wickremasinghe, Ananda R, Wu, Tangchun, Kamatani, Yoichiro, Laurie, Cathy C, Bouchard, Claude, Cooper, Richard S, Evans, Michele K, Gudnason, Vilmundur, Hixson, Jame, Kardia, Sharon L R, Kritchevsky, Stephen B, Psaty, Bruce M, van Dam, Rob M, Arnett, Donna K, Mook-Kanamori, Dennis O, Fornage, Myriam, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth J F, Reiner, Alex P, Rotimi, Charles N, Bierut, Laura J, Zhu, Xiaofeng, Cupples, L Adrienne, Province, Michael A, Rotter, Jerome I, Franks, Paul W, Rice, Kenneth, Elliott, Paul, Caulfield, Mark J, Gauderman, W Jame, Munroe, Patricia B, Rao, Dabeeru C, Morrison, Alanna C, Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Brigham and Women's Hospital [Boston], Queen Mary University of London (QMUL), Harbor UCLA Medical Center [Torrance, Ca.], Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard School of Public Health, European Genomic Institute for Diabetes - FR 3508 (EGID), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), U.S. National Heart, Lung, and Blood Institute (NHLBI) (K25HL121091 to Y.J.S.), National Institutes of Health (R01HL118305), We thank anonymous reviewers for critical reading and providing constructive and insightful comments, which substantially improved the article. This project, like several other projects, was carried out as part of the CHARGE Gene–Lifestyle Interactions Working Group., Conflict of Interest statement. The authors declare no competing financial interests except for the following: B.M.P. serves on the Data and Safety Monitoring Board of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson, O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health), L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,‘Markers for Addiction’ covering the use of certain SNPs in determining the diagnosis, prognosis and treatment of addiction, P.S. has received research awards from Pfizer Inc, J.B.J. is a consultant for Mundipharma Co. (Cambridge, UK), Patent holder with Biocompatibles UK Ltd (Franham, Surrey, UK) (title: treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor, Patent number: 20120263794) and Patent application with University of Heidelberg (Heidelberg, Germany) (title: agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia, Europäische Patentanmeldung 15000771.4), P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative project, M.A.N.'s participation is supported by a consulting contract between Data Tecnica International and the National Institute on Aging, National Institutes of Health, Bethesda, MD, USA, M.A.N. also consults for Illumina Inc, the Michael J. Fox Foundation and University of California Healthcare among others, and M.J. C. is chief scientist for Genomics England, a UK government company., Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Européen de Génomique du Diabète - European Genomic Institute for Diabetes - FR 3508 (EGID), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Epidemiology, Internal Medicine, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), University Management, Department of Medicine, University of Helsinki, HUS Abdominal Center, Endokrinologian yksikkö, Marten, Jonathan [0000-0001-6916-2014], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, and Medical Research Council (MRC)
Subjects: Male, Receptors, Vasopressin, multi-ancestry, Genome-wide association study, Blood Pressure, HYDROCARBON RECEPTOR AHR, 030204 cardiovascular system & hematology, Antiporters, gene-smoking interaction, 0302 clinical medicine, Polymorphism (computer science), genome-wide study, Ethnicity, OXIDATIVE STRESS, Association Studies Article, 11 Medical and Health Sciences, Genetics (clinical), Genetics & Heredity, Genetics, ddc:616, Aged, 80 and over, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], DEPENDENT HYPERTENSION, CARDIOVASCULAR RISK, Smoking, 1184 Genetics, developmental biology, physiology, General Medicine, ASSOCIATION, Middle Aged, Caspase 9, 3. Good health, Pulse pressure, ENVIRONMENT INTERACTION, Sulfate Transporters, T-CADHERIN, Hypertension, Female, Life Sciences & Biomedicine, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Biochemistry & Molecular Biology, Mean arterial pressure, Adolescent, Diastole, Biology, elevated blood pressure, gene-smoking interactions, 03 medical and health sciences, Young Adult, Insulin resistance, Lifelines Cohort Study, medicine, Humans, Arterial Pressure, Molecular Biology, METAANALYSIS, 030304 developmental biology, Aged, Science & Technology, Polymorphism, Genetic, Tumor Suppressor Proteins, Racial Groups, Membrane Proteins, 06 Biological Sciences, SYSTOLIC BLOOD-PRESSURE, BODY-MASS INDEX, medicine.disease, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Heart failure, 1182 Biochemistry, cell and molecular biology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Gene-Environment Interaction, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Genome-Wide Association Study
Abstract: Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene–smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene–smoking interaction analysis and 38 were newly identified (P
Published: 2019
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15. Effects of Calcium, Magnesium, and Potassium concentrations on ventricular repolarization in unselected individuals

Author: Pedro Guatimosim Vidigal, Yongmei Liu, Alice Stanton, Kent D. Taylor, Thomas Meitinger, Vilmundur Gudnason, Massimo Mangino, Mario Pirastu, Nilesh J. Samani, Christopher Newton-Cheh, Xiuqing Guo, Bruno H. Stricker, Mortiz F. Sinner, Steven R. Cummings, Jennifer A. Brody, Antonio Luiz Pinho Ribeiro, Mark J. Caulfield, Bryan Kestenbaum, Dennis O. Mook-Kanamori, Jørgen K. Kanters, Kirill V. Tarasov, Martina Müller-Nurasyid, Luana Giatti, Elsayed Z. Soliman, Christian R. Juhl, Nuno R. Zilhão, Harold Snieder, Eric Campana, Mika Kähönen, Ginevra Biino, Raymond Noordam, Jun Ding, Chris H. L. Thio, Jerome I. Rotter, Torben Hansen, M. Abdullah Said, Francesco Cucca, Allan Linneberg, Nona Sotoodehnia, Niels Grarup, Peter S. Sever, James F. Wilson, André G. Uitterlinden, Xia Shen, Luisa Foco, Yong Qian, Christina Ellervik, Diana van Heemst, Antonietta Robino, Henry J. Lin, Konstantin Strauch, Patricia B. Munroe, Nabi Shah, Claus Graff, Daniel S. Evans, Peter J. van der Most, Stefan Weiss, Maria Pina Concas, Reem Salman, Hao Mei, Linda Repetto, Helen R. Warren, Peter K. Joshi, Susan R. Heckbert, Tim D. Spector, Sandhi Maria Barreto, Jie Yao, Marcus Dörr, Eulalia Catamo, Anna F. Dominiczak, Leo-Pekka Lyytikäinen, Giorgia Girotto, Peter P. Pramstaller, Gudny Eiriksdottir, J. Wouter Jukema, Paulo A. Lotufo, Colin N. A. Palmer, Andrew Tinker, James G. Wilson, Mary L. Biggs, Astrid Petersmann, Arie C. Maan, Peter S. Braund, Maria Fernanda Lima-Costa, Paraskevi Christofidou, Sandosh Padmanabhan, Adolfo Correa, Melanie Waldenberger, Alessandro De Grandi, Stefan Kääb, Cristian Pattaro, Annette Peters, William J Young, Alex S. F. Doney, Katharina Schramm, Terho Lehtimäki, Christopher P. Nelson, Martin Gögele, Marten E. van den Berg, Marco Brumat, Pim van der Harst, Niek Verweij, Simona Vaccargiu, Noordam, R, Young, Wj, Salman, R, Kanters, Jk, van den Berg, Me, van Heemst, D, Lin, Hj, Barreto, Sm, Biggs, Ml, Biino, G, Catamo, E, Concas, Mp, Ding, J, Evans, D, Foco, L, Grarup, N, Lyytikäinen, Lp, Mangino, M, Mei, H, van der Most, Pj, Müller-Nurasyid, M, Nelson, Cp, Qian, Y, Repetto, L, Said, Ma, Shah, N, Schramm, K, Vidigal, Pg, Weiss, S, Yao, J, Zilhao, Nr, Brody, Ja, Braund, P, Brumat, M, Campana, E, Christofidou, P, Caulfield, Mj, De Grandi, A, Dominiczak, Af, Doney, Asf, Eiriksdottir, G, Ellervik, C, Giatti, L, Gögele, M, Graff, C, Guo, X, van der Harst, P, Joshi, Pk, Kähönen, M, Kestenbaum, B, Lima-Costa, Mf, Linneberg, A, Maan, Ac, Meitinger, T, Padmanabhan, S, Pattaro, C, Peters, A, Petersmann, A, Sever, P, Sinner, Mf, Shen, X, Stanton, A, Strauch, K, Soliman, Ez, Tarasov, Kv, Taylor, Kd, Thio, Chl, Uitterlinden, Ag, Vaccargiu, S, Waldenberger, M, Robino, A, Correa, A, Cucca, F, Cummings, Sr, Dörr, M, Girotto, G, Gudnason, V, Hansen, T, Heckbert, Sr, Juhl, Cr, Kääb, S, Lehtimäki, T, Liu, Y, Lotufo, Pa, Palmer, Cna, Pirastu, M, Pramstaller, Pp, Ribeiro, Alp, Rotter, Ji, Samani, Nj, Snieder, H, Spector, Td, Stricker, Bh, Verweij, N, Wilson, Jf, Wilson, Jg, Jukema, Jw, Tinker, A, Newton-Cheh, Ch, Sotoodehnia, N, Mook-Kanamori, Do, Munroe, Pb, Warren, Hr., Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), and Epidemiology
Subjects: Male, Cardiac & Cardiovascular Systems, 030204 cardiovascular system & hematology, ELECTROCARDIOGRAM, Electrocardiography, 0302 clinical medicine, cohort studies, Risk Factors, Medicine, Magnesium, 030212 general & internal medicine, Correlation of Data, 1102 Cardiorespiratory Medicine and Haematology, RISK, education.field_of_study, medicine.diagnostic_test, ACTION-POTENTIAL DURATION, ASSOCIATION, Middle Aged, COUNCIL, electrocardiographic intervals, Cardiovascular Diseases, Cardiology, Female, epidemiology, Electrical conduction system of the heart, Cardiology and Cardiovascular Medicine, Electrophysiologic Techniques, Cardiac, Life Sciences & Biomedicine, medicine.medical_specialty, Population, electrolytes epidemiology, meta-analysis, chemistry.chemical_element, electrolytes, Calcium, QT interval, 1117 Public Health and Health Services, 03 medical and health sciences, QRS complex, DISPERSION, Heart Conduction System, Internal medicine, Humans, PR interval, education, Science & Technology, Cohort Studies, Electrocardiographic Intervals, Electrolytes, Epidemiology, Meta-analysis, business.industry, QT INTERVAL, RESTING HEART-RATE, Confidence interval, REDUCTION, chemistry, Cardiovascular System & Hematology, CONDUCTION, Asymptomatic Diseases, Potassium, Cardiovascular System & Cardiology, electrocardiographic interval, business, cohort studie
Abstract: BACKGROUND Subclinical changes on the electrocardiogram are risk factors for cardiovascular mortality. Recognition and knowledge of electrolyte associations in cardiac electrophysiology are based on only in vitro models and observations in patients with severe medical conditions.OBJECTIVES This study sought to investigate associations between serum electrolyte concentrations and changes in cardiac electrophysiology in the general population.METHODS Summary results collected from 153,014 individuals (54.4% women; mean age 55.1 +/- 12.1 years) from 33 studies (of 5 ancestries) were meta-analyzed. Linear regression analyses examining associations between electrolyte concentrations (mmol/l of calcium, potassium, sodium, and magnesium), and electrocardiographic intervals (RR, QT, QRS, JT, and PR intervals) were performed. The study adjusted for potential confounders and also stratified by ancestry, sex, and use of antihypertensive drugs.RESULTS Lower calcium was associated with longer QT intervals (-11.5 ms; 99.75% confidence interval [CI]: -13.7 to -9.3) and JT duration, with sex-specific effects. In contrast, higher magnesium was associated with longer QT intervals (7.2 ms; 99.75% CI: 1.3 to 13.1) and JT. Lower potassium was associated with longer QT intervals (-2.8 ms; 99.75% CI: -3.5 to -2.0), JT, QRS, and PR durations, but all potassium associations were driven by use of antihypertensive drugs. No physiologically relevant associations were observed for sodium or RR intervals.CONCLUSIONS The study identified physiologically relevant associations between electrolytes and electrocardiographic intervals in a large-scale analysis combining cohorts from different settings. The results provide insights for further cardiac electrophysiology research and could potentially influence clinical practice, especially the association between calcium and QT duration, by which calcium levels at the bottom 2% of the population distribution led to clinically relevant QT prolongation by >5 ms. (C) 2019 by the American College of Cardiology Foundation.
Published: 2019
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16. Genetic Assessment of Potential Long-Term On-Target Side Effects of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibitors

Author: Heribert Schunkert, Christopher P. Nelson, Mintu Nath, Tom R. Webb, Shu Ye, Florence Lai, and Nilesh J. Samani
Subjects: Male, business.industry, PCSK9, Anticholesteremic Agents, PCSK9 Inhibitors, Subtilisin, Antibodies, Monoclonal, Genetic Variation, General Medicine, Cholesterol, LDL, Pharmacology, Middle Aged, Proprotein convertase, Antibodies, Monoclonal, Humanized, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Case-Control Studies, Medicine, Kexin, Humans, Female, Proprotein Convertase 9, business
Abstract: Background: Although short-term trials have suggested that PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors are safe and reduce risk of cardiovascular diseases, their long-term safety is unclear. Genetic variants associated with lower activity of a gene can act as proxies to identify potential long-term side effects of drugs as recently exemplified by association of LDL (low-density lipoprotein)-lowering variants in the HMGCR (target for statins) and PCSK9 genes with increased risk of type 2 diabetes mellitus (T2DM). However, analyses of the full spectrum of potential side effects of PCSK9 inhibition using a genetic approach have not been undertaken. Methods: We examined the association of an LDL-lowering variant in the PCSK9 gene (T allele of rs1159147), as well as 2 LDL-lowering HGCMR variants (G allele of rs17238484 and T allele of rs12916) with 80 diseases and traits in up to 479 522 individuals in UK Biobank. Results: The PCSK9 T allele was significantly (Bonferroni P −4 ) associated with risk of T2DM, increased body mass index, waist circumference, waist-hip ratio, diastolic blood pressure, type 1 diabetes mellitus, and insulin use. The HMGCR variants were also associated with risk of T2DM, although their previously reported associations with anthropometric traits were found to be confounded. Mediation analysis suggested that the association of the PCSK9 T allele with risk of T2DM but not diastolic blood pressure was largely independent of its association with body mass index and central obesity. Nominally significant associations of the PCSK9 T allele were also seen with peptic ulcer disease, depression, asthma, chronic kidney disease, and venous thromboembolism. Conclusions: Our findings support previous genetic analyses suggesting that long-term use of PCSK9 inhibitors, like statins, may be associated with increased risk of T2DM. Some other potential side effects need to be looked for in future studies of PCSK9 inhibitors, although we did not find signals that raise substantial concerns about their long-term safety.
Published: 2019

17. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders

Author: Jessica D. Faul, Ilja M. Nolte, Alexandra I. F. Blakemore, Raha Pazoki, Marjo-Riitta Järvelin, Andrew C. Heath, Adrian Rothenfluh, Nicholas G. Martin, Catharina A. Hartman, Paul Blakeley, Michael Boehnke, Paul M. Matthews, Dan E. Arking, Jennifer A. Smith, Yuri Milaneschi, James F. Wilson, Alena Stančáková, Laura J. Scott, Jie Yao, Paul Elliott, Sharon L.R. Kardia, Peter K. Joshi, Niki Dimou, Leo-Pekka Lyytikäinen, Tim D. Spector, Ozren Polasek, Pim van der Harst, Sylvane Desrivières, Bing Yu, Brenda W.J.H. Penninx, Katherine A. Kentistou, Michael Kühne, Mika Kähönen, Hideaki Suzuki, Ioanna Tzoulaki, Daniel Levy, Congying Chu, Johan G. Eriksson, Minna Männikkö, Markku Laakso, Anne U. Jackson, Sebastian E. Baumeister, Hans J. Grabe, Massimo Mangino, Albertine J. Oldehinkel, Evangelos Evangelou, Caroline Hayward, Niek Verweij, Penelope A. Lind, Lorenz Risch, Harold Snieder, Andrianos M. Yiorkas, Andrew R. Butts, David Conen, Toni-Kim Clarke, Harry Campbell, Fotios Koskeridis, Johanna Kuusisto, Alexis C. Wood, Karen L. Mohlke, Mia-Maria Perälä, Jerome I. Rotter, Gunter Schumann, Wei Zhao, Terho Lehtimäki, Ibrahim Karaman, Olli T. Raitakari, Rozenn N. Lemaitre, David J. Porteous, Michael R. Brown, Xiuqing Guo, Igor Rudan, Juha Auvinen, David R. Weir, Christopher P. Nelson, Traci M. Bartz, Peter S. Braund, Bruce M. Psaty, Alanna C. Morrison, Alexander Teumer, Nilesh J. Samani, Georg Homuth, Jennifer A. Brody, Joshua Elliott, John Whitfield, He Gao, Andrew M. McIntosh, Georgios Ntritsos, Samuli Tuominen, Sébastien Thériault, Chunyu Liu, Juha Veijola, Stefanie Aeschbacher, Jimmy D. Bell, Scott M. Ratliff, Jagadish Vangipurapu, Qiang Luo, Jari Lahti, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Academic Medical Center, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Digital Health, Imperial College Healthcare NHS Trust- BRC Funding, Health Data Research Uk, National Institute for Health Research, Medical Research Council (MRC), and UK DRI Ltd
Subjects: Male, LOCI, Social Sciences, Genome-wide association study, physiopathology [Brain], VARIANTS, genetics [Mental Disorders], Cardiovascular, Oral and gastrointestinal, genetics [Genes], Behavioral Neuroscience, Alcohol Use and Health, Substance Misuse, 0302 clinical medicine, ddc:150, PARKINSONS-DISEASE, DEPENDENCE, Epidemiology, Psychology, 2.1 Biological and endogenous factors, risk factors, genetics [Schizophrenia], genetics, genetics [Genetic Predisposition to Disease], Aetiology, 610 Medicine & health, Cancer, Genetics, RISK, 0303 health sciences, Psychology, Biological, Psychology, Experimental, Mental Disorders, Brain, Single Nucleotide, Middle Aged, Serious Mental Illness, Biobank, Magnetic Resonance Imaging, Multidisciplinary Sciences, Stroke, physiology [Genes], Alcoholism, Mental Health, Schizophrenia, Meta-analysis, genetics [Polymorphism, Single Nucleotide], Science & Technology - Other Topics, Female, Life Sciences & Biomedicine, Biotechnology, EXPRESSION, Adult, medicine.medical_specialty, Social Psychology, Alcohol Drinking, Quantitative Trait Loci, genetics [White People], Experimental and Cognitive Psychology, Neuroimaging, Quantitative trait locus, Polymorphism, Single Nucleotide, Article, White People, 03 medical and health sciences, medicine, Humans, Genetic Predisposition to Disease, Aged, European Continental Ancestry Group, Genes, Genome-Wide Association Study, GENOME-WIDE ASSOCIATION, Polymorphism, METAANALYSIS, 030304 developmental biology, Genetic association, Science & Technology, genetics [Quantitative Trait Loci], Human Genome, Neurosciences, CONSUMPTION, medicine.disease, Genetic architecture, Brain Disorders, Good Health and Well Being, genetics [Alcoholism], genetics [Alcohol Drinking], Neurosciences & Neurology, HIGH-DENSITY-LIPOPROTEIN, 030217 neurology & neurosurgery
Abstract: H.G. was funded by the NIHR Imperial College Health Care NHS Trust and Imperial College London Biomedical Research Centre. I.K. was supported by the EU PhenoMeNal project (Horizon 2020, grant no. 654241) and the UK Dementia Research Institute, which is supported by the MRC, the Alzheimer’s Society and Alzheimer’s Research UK. S. Thériault was supported by the Canadian Institutes of Health Research and Université Laval (Quebec City, Canada). L.R. was supported by Forschungs- und Förder-Stiftung INOVA, Vaduz, Liechtenstein. D.C. holds a McMaster University Department of Medicine Mid-Career Research Award. M.B. is supported by NIH grant R01-DK062370. P.v.d.H. was supported by ICIN-NHI and Marie Skłodowska-Curie GF (call: H2020-MSCA-IF-2014; Project ID: 661395). C.H. was supported by a core MRC grant to the MRCHGU QTL in Health and Disease research programme. N.V. was supported by Marie Skłodowska-Curie GF (grant no. 661395) and ICIN-NHI. Q.L. is partially supported by the National Natural Sciences Foundation of China (No. 81873909), Shanghai Municipal Science and Technology Major Project(No.2018SHZDZX01) and ZJLab. P.E. acknowledges support from the NIHR Biomedical Research Centre at Imperial College Healthcare NHS Trust and Imperial College London, the NIHR Health Protection Research Unit in Health Impact of Environmental Hazards (HPRU-2012-10141), the Medical Research Council (MRC) and Public Health England (PHE) Centre for Environment and Health (MR/L01341X/1) and Health Data Research (HDR) UK. P.E. is supported by a UK Dementia Research Institute (DRI) professorship, UK DRI at Imperial College London, funded by the MRC, Alzheimer’s Society and Alzheimer’s Research UK. This work received support from the following sources: the European Union-funded FP6 Integrated Project IMAGEN (Reinforcement-related behaviour in normal brain function and psychopathology; LSHM-CT- 2007-037286), the Horizon 2020 funded ERC Advanced Grant ‘STRATIFY’ (Brain network based stratification of reinforcement-related disorders; grant no. 695313), ERANID (Understanding the interplay between cultural, biological and subjective factors in drug use pathways; PR-ST-0416-10004), BRIDGET (JPND: BRain Imaging, cognition Dementia and next generation GEnomics; MR/N027558/1), the FP7 projects IMAGEMEND (grant no. 602450; IMAging GEnetics for MENtal Disorders) and MATRICS (grant no. 603016), the Innovative Medicine Initiative Project EU-AIMS (grant. no115300-2), the Medical Research Council Grant ‘c-VEDA’ (Consortium on Vulnerability to Externalizing Disorders and Addictions; MR/N000390/1), the Swedish Research Council FORMAS, the Medical Research Council, the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, the Bundesministeriumfür Bildung und Forschung (BMBF grants 01GS08152; 01EV0711; eMED SysAlc01ZX1311A; and Forschungsnetz AERIAL 01EE1406A and 01EE1406B), the Deutsche Forschungsgemeinschaft (DFG grants SM 80/7-2 and SFB 940/2), the Medical Research Foundation and Medical Research Council (MR/R00465X/1), the Human Brain Project (HBP SGA 2). Further support was provided by grants from ANR (project AF12-NEUR0008-01-WM2NA, and ANR-12-SAMA-0004), the Fondation de France, the Fondation pour la Recherche Médicale, the Mission Interministérielle de Lutte-contre-les-Drogues-et-les-Conduites-Addictives (MILDECA), the Assistance-Publique-Hôpitaux-de-Paris and INSERM (interface grant), Paris Sud University IDEX 2012; the National Institutes of Health, Science Foundation Ireland (16/ERCD/3797), USA (Axon, Testosterone and Mental Health during Adolescence; RO1 MH085772-01A1); and by NIH Consortium grant U54 EB020403, supported by a cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence.
Published: 2019
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18. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: Michael R. Brown, Christian Gieger, André G. Uitterlinden, Diana van Heemst, Alison D. Murray, Stephen B. Kritchevsky, Timo A. Lakka, Karen Schwander, Federica Laguzzi, Stephen S. Rich, Rajkumar Dorajoo, Yun Ju Sung, Xiaofeng Zhu, Hugues Aschard, Jing Hua Zhao, Gregory P. Wilson, Kenneth Rice, Barbara Sternfeld, Kent D. Taylor, Paul Elliott, Ei-Ei Khaing Nang, Ilja M. Nolte, Heather M. Stringham, Bruce M. Psaty, Heming Wang, Tangchun Wu, Caroline Hayward, Vilmundur Gudnason, Fernando Pires Hartwig, Paolo Gasparini, Jingjing Liang, Neil Risch, Albertine J. Oldehinkel, Ani Manichaikul, Tibor V. Varga, Michael Y. Tsai, Niek Verweij, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Xiuqing Guo, Traci M. Bartz, Nicholette D. Palmer, Woon-Puay Koh, Rozenn N. Lemaitre, Caizheng Yu, Mike A. Nalls, Mariaelisa Graff, Eric Boerwinkle, Dabeeru C. Rao, Thomas Meitinger, Virginia Fisher, Mario Sims, Charles Kooperberg, Carl D. Langefeld, Jaakko Tuomilehto, Reedik Mägi, Wei Zhao, Wanqing Wen, Donna K. Arnett, Ervin R. Fox, Lynda M. Rose, Maris Alver, Ayse Demirkan, Solomon K. Musani, Dennis O. Mook-Kanamori, Andres Metspalu, Jerome I. Rotter, Barry I. Freedman, Jiang He, Hermina Jakupović, Steven C. Hunt, Marco Brumat, Maria Pina Concas, Rob M. van Dam, Rico Rueedi, Jonathan Marten, Chi Charles Gu, Tõnu Esko, Peter Vollenweider, Zoltán Kutalik, Olli T. Raitakari, Ya X. Wang, Yong-Bing Xiang, Pamela J. Schreiner, Antonietta Robino, Tanika N. Kelly, Igor Rudan, Mathilde Boissel, Claudia Langenberg, Yii-Der Ida Chen, Anne U. Jackson, Lawrence F. Bielak, Brenda W.J.H. Penninx, Brigitte Kühnel, Christopher P. Nelson, Konstantin Strauch, Albert V. Smith, Daniel I. Chasman, Jasmin Divers, Lisa R. Yanek, M. Arfan Ikram, Melissa A. Richard, Nilesh J. Samani, Lisa de las Fuentes, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Yongmei Liu, Peter J. van der Most, Fang-Chi Hsu, Jeffrey R. O'Connell, Alexandre C. Pereira, Raymond Noordam, Changwei Li, Jie Yao, Trudy Voortman, Zhe Wang, Thomas H. Mosley, Diane M. Becker, Charles N. Rotimi, Sami Heikkinen, Archie Campbell, John M. C. Connell, Lenore J. Launer, Hua Tang, Rainer Rauramaa, Ruth J. F. Loos, Pirjo Komulainen, Amy R. Bentley, Patrik Wennberg, Chew-Kiat Heng, Kari E. North, Salman M. Tajuddin, Renée de Mutsert, David J. Porteous, Susan Redline, Sarah E. Harris, Tamara B. Harris, Raha Pazoki, Mickaël Canouil, Robert A. Scott, Jingzhong Ding, Mary F. Feitosa, Jost B. Jonas, José Eduardo Krieger, John M. Starr, Karin Leander, Jennifer A. Smith, Paul W. Franks, Charles B. Eaton, Sharon L.R. Kardia, E. Shyong Tai, Jill M. Norris, Annette Peters, Chiamaka Vivian Nwuba, Jianjun Liu, Stella Aslibekyan, Nora Franceschini, Kurt Lohman, Myriam Fornage, Dina Vojinovic, Erin B. Ware, Xiaoyin Li, Najaf Amin, Johanna Kuusisto, M. Yldau van der Ende, Cora E. Lewis, Lynne E. Wagenknecht, Jennifer G. Robinson, Franco Giulianini, Ulf de Faire, Yechiel Friedlander, Nicholas J. Wareham, Meian He, George J. Papanicolau, Nancy L. Pedersen, Bernardo L. Horta, Karen L. Mohlke, Kelley Pettee Gabriel, Minjung Kho, Michele K. Evans, Ozren Polasek, Markku Laakso, Tuomas O. Kilpeläinen, Ching-Ti Liu, Michael Boehnke, Jin-Fang Chai, Ioanna Ntalla, Cornelia M. van Duijn, L. Adrienne Cupples, Yuri Milaneschi, Stephen Sidney, Alan B. Zonderman, Leo-Pekka Lyytikäinen, Mohsen Ghanbari, Harold Snieder, Donald W. Bowden, Aldi T. Kraja, Alaitz Poveda, Terho Lehtimäki, Paul S. de Vries, Dongfeng Gu, Sotoodehnia Nona, Thomas W. Winkler, Muhammad Riaz, Ian J. Deary, Fumihiko Takeuchi, Pim van der Harst, Alisa K. Manning, Michael A. Province, Andrea R. V. R. Horimoto, David R. Weir, Wei Zheng, Alanna C. Morrison, Marzyeh Amini, Jian-Min Yuan, W. James Gauderman, Paul M. Ridker, Melanie Waldenberger, Chuan Gao, Xiao-Ou Shu, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, Tamar Sofer, Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, UK DRI Ltd, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Digital Health, IT University of Copenhagen, Icahn School of Medicine at Mount Sinai [New York] (MSSM), National Institutes of Health [Bethesda] (NIH), Leiden University Medical Center (LUMC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), University of Regensburg, Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), Massachusetts General Hospital [Boston], Queen Mary University of London (QMUL), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), University of Washington [Seattle], The present work was largely supported by a grant from the US National Heart, Lung,and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305)., Kilpeläinen, Tuomas O., Bentley, Amy R., Noordam, Raymond, Sung, Yun Ju, Schwander, Karen, Winkler, Thomas W., Jakupović, Hermina, Chasman, Daniel I., Manning, Alisa, Ntalla, Ioanna, Aschard, Hugue, Brown, Michael R., de las Fuentes, Lisa, Franceschini, Nora, Guo, Xiuqing, Vojinovic, Dina, Aslibekyan, Stella, Feitosa, Mary F., Kho, Minjung, Musani, Solomon K., Richard, Melissa, Wang, Heming, Wang, Zhe, Bartz, Traci M., Bielak, Lawrence F., Campbell, Archie, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P., Horimoto, Andrea R. V. R., Li, Changwei, Lohman, Kurt K., Marten, Jonathan, Sim, Xueling, Smith, Albert V., Tajuddin, Salman M., Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelo, Gao, Chuan, Graff, Mariaelisa, Harris, Sarah E., He, Meian, Hsu, Fang-Chi, Jackson, Anne U., Zhao, Jing Hua, Kraja, Aldi T., Kühnel, Brigitte, Laguzzi, Federica, Lyytikäinen, Leo-Pekka, Nolte, Ilja M., Rauramaa, Rainer, Riaz, Muhammad, Robino, Antonietta, Rueedi, Rico, Stringham, Heather M., Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Verweij, Niek, Ware, Erin B., Wen, Wanqing, Li, Xiaoyin, Yanek, Lisa R., Amin, Najaf, Arnett, Donna K., Boerwinkle, Eric, Brumat, Marco, Cade, Brian, Canouil, Mickaël, Chen, Yii-Der Ida, Concas, Maria Pina, Connell, John, de Mutsert, Renée, de Silva, H. Janaka, de Vries, Paul S., Demirkan, Ayşe, Ding, Jingzhong, Eaton, Charles B., Faul, Jessica D., Friedlander, Yechiel, Gabriel, Kelley P., Ghanbari, Mohsen, Giulianini, Franco, Gu, Chi Charle, Gu, Dongfeng, Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hunt, Steven C., Ikram, M. Arfan, Jonas, Jost B., Koh, Woon-Puay, Komulainen, Pirjo, Krieger, Jose E., Kritchevsky, Stephen B., Kutalik, Zoltán, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Leander, Karin, Lemaitre, Rozenn N., Lewis, Cora E., Liang, Jingjing, Alizadeh, Behrooz Z., Boezen, H. Marike, Franke, Lude, Navis, Gerjan, Rots, Marianne, Swertz, Morri, Wolffenbuttel, Bruce H. R., Wijmenga, Cisca, Liu, Jianjun, Mägi, Reedik, Manichaikul, Ani, Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Mohlke, Karen L., Mosley, Thomas H., Murray, Alison D., Nalls, Mike A., Nang, Ei-Ei Khaing, Nelson, Christopher P., Nona, Sotoodehnia, Norris, Jill M., Nwuba, Chiamaka Vivian, O’Connell, Jeff, Palmer, Nicholette D., Papanicolau, George J., Pazoki, Raha, Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Porteous, David J., Poveda, Alaitz, Raitakari, Olli T., Rich, Stephen S., Risch, Neil, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Schreiner, Pamela J., Scott, Robert A., Sidney, Stephen S., Sims, Mario, Smith, Jennifer A., Snieder, Harold, Sofer, Tamar, Starr, John M., Sternfeld, Barbara, Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Tsai, Michael Y., Tuomilehto, Jaakko, Uitterlinden, André G., van der Ende, M. Yldau, van Heemst, Diana, Voortman, Trudy, Waldenberger, Melanie, Wennberg, Patrik, Wilson, Gregory, Xiang, Yong-Bing, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., de Faire, Ulf, Deary, Ian J., Elliott, Paul, Esko, Tõnu, Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Kato, Norihiro, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Magnusson, Patrik K. E., Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Samani, Nilesh J., Shu, Xiao-Ou, van der Harst, Pim, Van Vliet-Ostaptchouk, Jana V., Vollenweider, Peter, Wagenknecht, Lynne E., Wang, Ya X., Wareham, Nicholas J., Weir, David R., Wu, Tangchun, Zheng, Wei, Zhu, Xiaofeng, Evans, Michele K., Franks, Paul W., Gudnason, Vilmundur, Hayward, Caroline, Horta, Bernardo L., Kelly, Tanika N., Liu, Yongmei, North, Kari E., Pereira, Alexandre C., Ridker, Paul M., Tai, E. Shyong, van Dam, Rob M., Fox, Ervin R., Kardia, Sharon L. R., Liu, Ching-Ti, Mook-Kanamori, Dennis O., Province, Michael A., Redline, Susan, van Duijn, Cornelia M., Rotter, Jerome I., Kooperberg, Charles B., Gauderman, W. Jame, Psaty, Bruce M., Rice, Kenneth, Munroe, Patricia B., Fornage, Myriam, Cupples, L. Adrienne, Rotimi, Charles N., Morrison, Alanna C., Rao, Dabeeru C., Loos, Ruth J. F., Bentley, Amy R [0000-0002-0827-9101], Jakupović, Hermina [0000-0001-9667-9406], Manning, Alisa [0000-0003-0247-902X], Aschard, Hugues [0000-0003-0907-2548], de Las Fuentes, Lisa [0000-0002-4689-325X], Richard, Melissa [0000-0003-0129-9860], Liu, Ching-Ti [0000-0002-0703-0742], Rice, Kenneth [0000-0002-3071-7278], Munroe, Patricia B [0000-0002-4176-2947], Loos, Ruth JF [0000-0002-8532-5087], Apollo - University of Cambridge Repository, Epidemiology, Radiology & Nuclear Medicine, Erasmus MC other, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, IT University of Copenhagen (ITU), Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Value, Affordability and Sustainability (VALUE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Lifelines Cohort Study, Alizadeh, B.Z., Boezen, H.M., Franke, L., Navis, G., Rots, M., Swertz, M., Wolffenbuttel, BHR, and Wijmenga, C.
Subjects: Genetics and Molecular Biology (all), Male, Genome-wide association study, 02 engineering and technology, Biochemistry, MESH: Genotype, MESH: Nerve Tissue Proteins, lcsh:Science, MESH: Lipid Metabolism, Aged, 80 and over, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, MESH: Asian Continental Ancestry Group, Kólesteról, Hispanic or Latino, MESH: Transcription Factors, MESH: European Continental Ancestry Group, Lipids, ddc, 3. Good health, REVEAL, Cholesterol, MESH: Young Adult, Science & Technology - Other Topics, MESH: Membrane Proteins, MESH: Cholesterol, HDL, Hispanic Americans, 0210 nano-technology, Erfðarannsóknir, MESH: Cholesterol, LDL, MESH: Triglycerides, Genotype, Genetic Loci, Lipid Metabolism, Science, European Continental Ancestry Group, LIM-Homeodomain Proteins, Locus (genetics), EXERCISE, Adolescent, Adult, African Continental Ancestry Group/genetics, Aged, Asian Continental Ancestry Group/genetics, Brazil, Calcium-Binding Proteins/genetics, Cholesterol/blood, Cholesterol, HDL/blood, Cholesterol, HDL/genetics, Cholesterol, LDL/blood, Cholesterol, LDL/genetics, European Continental Ancestry Group/genetics, Exercise, Female, Genetic Loci/genetics, Genome-Wide Association Study, Hispanic Americans/genetics, Humans, LIM-Homeodomain Proteins/genetics, Lipid Metabolism/genetics, Lipids/blood, Lipids/genetics, Membrane Proteins/genetics, Microtubule-Associated Proteins/genetics, Middle Aged, Muscle Proteins/genetics, Nerve Tissue Proteins/genetics, Transcription Factors/genetics, Triglycerides/blood, Triglycerides/genetics, Young Adult, General Biochemistry, Genetics and Molecular Biology, Article, White People, CARBOXYLASE, 03 medical and health sciences, Physics and Astronomy (all), MESH: Muscle Proteins, Asian People, Lifelines Cohort Study, SNP, METAANALYSIS, Ancestry, MESH: Adolescent, Biochemistry, Genetics and Molecular Biology (all), MESH: Humans, Science & Technology, Calcium-Binding Proteins, MESH: Adult, MESH: Microtubule-Associated Proteins, 030104 developmental biology, chemistry, MESH: Genome-Wide Association Study, lcsh:Q, MESH: African Continental Ancestry Group, Chemistry (all), [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Brazil, MESH: Female, Transcription Factors, 0301 basic medicine, General Physics and Astronomy, Blood lipids, Muscle Proteins, MESH: Calcium-Binding Proteins, chemistry.chemical_compound, MESH: Aged, 80 and over, MESH: Cholesterol, WIDE ASSOCIATION, African Continental Ancestry Group, Genetics, MESH: Aged, Multidisciplinary, Public Health, Global Health, Social Medicine and Epidemiology, 021001 nanoscience & nanotechnology, Multidisciplinary Sciences, lipids (amino acids, peptides, and proteins), Medical Genetics, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Microtubule-Associated Proteins, Asian Continental Ancestry Group, Black People, Nerve Tissue Proteins, Biology, MESH: Genetic Loci, MD Multidisciplinary, Triglycerides, Medicinsk genetik, MESH: LIM-Homeodomain Proteins, Triglyceride, MESH: Hispanic Americans, Cholesterol, HDL, Genome-wide analyses, Membrane Proteins, Lipid metabolism, General Chemistry, Cholesterol, LDL, Arfgengi, MESH: Lipids, MESH: Male, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, INDIVIDUALS, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, MESH: Exercise, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Abstract: Publisher's version (útgefin grein), Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels., The present work was largely supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). The full list of acknowledgments appears in the Supplementary Notes 3 and 4.
Published: 2018
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19. Genetic Variation Associated with Longer Telomere Length Increases Risk of Chronic Lymphocytic Leukemia

Author: Juhi Ojha, Veryan Codd, Joseph L. Wiemels, Margaret Wrensch, Nilesh J. Samani, Kyle M. Walsh, Paige M. Bracci, Nils R. Madsen, John K. Wiencke, Helen M. Hansen, Ivan Smirnov, Christopher P. Nelson, and Adam J. de Smith
Subjects: Adult, Male, 0301 basic medicine, Oncology, medicine.medical_specialty, Epidemiology, Chronic lymphocytic leukemia, Genome-wide association study, Single-nucleotide polymorphism, Biology, Bioinformatics, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, Telomere Homeostasis, Risk Factors, hemic and lymphatic diseases, Internal medicine, Biomarkers, Tumor, Leukocytes, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, Aged, Genetic Variation, Middle Aged, medicine.disease, Shelterin, Leukemia, Lymphocytic, Chronic, B-Cell, 3. Good health, Telomere, Leukemia, 030104 developmental biology, Case-Control Studies, 030220 oncology & carcinogenesis, Female, Genome-Wide Association Study
Abstract: Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in the Western world. Shorter mean telomere length in leukemic cells has been associated with more aggressive disease. Germline polymorphisms in telomere maintenance genes affect telomere length and may contribute to CLL susceptibility. Methods: We collected genome-wide data from two groups of patients with CLL (N = 273) and two control populations (N = 5,725). In ancestry-adjusted case–control comparisons, we analyzed eight SNPs in genes definitively associated with inter-individual variation in leukocyte telomere length (LTL) in prior genome-wide association studies: ACYP2, TERC, NAF1, TERT, OBFC1, CTC1, ZNF208, and RTEL1. Results: Three of the eight LTL-associated SNPs were associated with CLL risk at P < 0.05, including those near: TERC [OR, 1.46; 95% confidence interval (CI), 1.15–1.86; P = 1.8 × 10−3], TERT (OR = 1.23; 95% CI, 1.02–1.48; P = 0.030), and OBFC1 (OR, 1.36; 95% CI, 1.08–1.71; P = 9.6 × 10−3). Using a weighted linear combination of the eight LTL-associated SNPs, we observed that CLL patients were predisposed to longer LTL than controls in both case–control sets (P = 9.4 × 10−4 and 0.032, respectively). CLL risk increased monotonically with increasing quintiles of the weighted linear combination. Conclusions: Genetic variants in TERC, TERT, and OBFC1 are associated with both longer LTL and increased CLL risk. Because the human CST complex competes with shelterin for telomeric DNA, future work should explore the role of OBFC1 and other CST complex genes in leukemogenesis. Impact: A genetic predisposition to longer telomere length is associated with an increased risk of CLL, suggesting that the role of telomere length in CLL etiology may be distinct from its role in disease progression. Cancer Epidemiol Biomarkers Prev; 25(7); 1043–9. ©2016 AACR.
Published: 2016
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20. Determinants of day–night difference in blood pressure, a comparison with determinants of daytime and night-time blood pressure

Author: Martin D. Tobin, Christopher P. Nelson, M. D. Musameh, Nilesh J. Samani, Maciej Tomaszewski, and Jay Gracey
Subjects: Adult, Male, medicine.medical_specialty, Diastole, Blood Pressure, 030204 cardiovascular system & hematology, Cohort Studies, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Internal Medicine, medicine, Humans, cardiovascular diseases, 030212 general & internal medicine, Circadian rhythm, Risk factor, business.industry, Diurnal temperature variation, Middle Aged, Heritability, Circadian Rhythm, Endocrinology, Blood pressure, Female, Original Article, business, Body mass index, circulatory and respiratory physiology, Cohort study
Abstract: Blunted day–night difference in blood pressure (BP) is an independent cardiovascular risk factor, although there is limited information on determinants of diurnal variation in BP. We investigated determinants of day–night difference in systolic (SBP) and diastolic (DBP) BP and how these compared with determinants of daytime and night-time SBP and DBP. We analysed the association of mean daytime, mean night-time and mean day–night difference (defined as (mean daytime−mean night-time)/mean daytime) in SBP and DBP with clinical, lifestyle and biochemical parameters from 1562 adult individuals (mean age 38.6) from 509 nuclear families recruited in the GRAPHIC Study. We estimated the heritability of the various BP phenotypes. In multivariate analysis, there were significant associations of age, sex, markers of adiposity (body mass index and waist–hip ratio), plasma lipids (total and low-density lipoprotein cholesterol and triglycerides), serum uric acid, alcohol intake and current smoking status on daytime or night-time SBP and/or DBP. Of these, only age (P=4.7 × 10−5), total cholesterol (P=0.002), plasma triglycerides (P=0.006) and current smoking (P=3.8 × 10−9) associated with day–night difference in SBP, and age (P=0.001), plasma triglyceride (P=2.2 × 10−5) and current smoking (3.8 × 10−4) associated with day–night difference in DBP. 24-h, daytime and night-time SBP and DBP showed substantial heritability (ranging from 18–43%). In contrast day–night difference in SBP showed a lower heritability (13%) while heritability of day–night difference in DBP was not significant. These data suggest that specific clinical, lifestyle and biochemical factors contribute to inter-individual variation in daytime, night-time and day–night differences in SBP and DBP. Variation in day–night differences in BP is largely non-genetic.
Published: 2016
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21. Longer genotypically-estimated leukocyte telomere length is associated with increased adult glioma risk

Author: Helen M. Hansen, Veryan Codd, Margaret Wrensch, Edward Elhauge, Tarik Tihan, Annette M. Molinaro, Christopher P. Nelson, Nilesh J. Samani, Stephen S. Francis, Juhi Ojha, Alexander R. Pico, John K. Wiencke, Ivan Smirnov, Paige M. Bracci, Terri Rice, Nils R. Madsen, Susan M. Chang, Mitchel S. Berger, Robert B. Jenkins, Joseph L. Wiemels, Michael D. Prados, Kyle M. Walsh, and Lucie McCoy
Subjects: Oncology, Male, Telomerase, Genome-wide association study, Models, single nucleotide polymorphism, Risk Factors, glioma, Genotype, Leukocytes, Cancer, Genetics, telomere, Brain Neoplasms, CST complex, Single Nucleotide, Glioma, Statistical, Female, Single Nucleotide Polymorphism, Telomere, Cst Complex, Adult, medicine.medical_specialty, Oncology and Carcinogenesis, Single-nucleotide polymorphism, telomerase, Polymorphism, Single Nucleotide, Rare Diseases, Clinical Research, Internal medicine, Mendelian randomization, medicine, Humans, Genetic Predisposition to Disease, Polymorphism, Models, Statistical, business.industry, Prevention, Human Genome, Neurosciences, Case-control study, ENGAGE Consortium Telomere Group, medicine.disease, Brain Disorders, Brain Cancer, Case-Control Studies, business, Priority Research Paper, Genome-Wide Association Study
Abstract: Telomere maintenance has emerged as an important molecular feature with impacts on adult glioma susceptibility and prognosis. Whether longer or shorter leukocyte telomere length (LTL) is associated with glioma risk remains elusive and is often confounded by the effects of age and patient treatment. We sought to determine if genotypically-estimated LTL is associated with glioma risk and if inherited single nucleotide polymorphisms (SNPs) that are associated with LTL are glioma risk factors. Using a Mendelian randomization approach, we assessed differences in genotypically-estimated relative LTL in two independent glioma case-control datasets from the UCSF Adult Glioma Study (652 patients and 3735 controls) and The Cancer Genome Atlas (478 non-overlapping patients and 2559 controls). LTL estimates were based on a weighted linear combination of subject genotype at eight SNPs, previously associated with LTL in the ENGAGE Consortium Telomere Project. Mean estimated LTL was 31bp (5.7%) longer in glioma patients than controls in discovery analyses (P = 7.82 × 10-8) and 27bp (5.0%) longer in glioma patients than controls in replication analyses (1.48 × 10-3). Glioma risk increased monotonically with each increasing septile of LTL (O.R.=1.12; P = 3.83 × 10-12). Four LTL-associated SNPs were significantly associated with glioma risk in pooled analyses, including those in the telomerase component genes TERC (O.R.=1.14; 95% C.I.=1.03-1.28) and TERT (O.R.=1.39; 95% C.I.=1.27-1.52), and those in the CST complex genes OBFC1 (O.R.=1.18; 95% C.I.=1.05-1.33) and CTC1 (O.R.=1.14; 95% C.I.=1.02-1.28). Future work is needed to characterize the role of the CST complex in gliomagenesis and further elucidate the complex balance between ageing, telomere length, and molecular carcinogenesis.
Published: 2015
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22. Adult height and risk of 50 diseases: a combined epidemiological and genetic analysis

Author: Christopher P. Nelson, Mintu Nath, Florence Lai, Nilesh J. Samani, Stephen E. Hamby, and John R. Thompson
Subjects: Adult, Male, Disease risk, medicine.medical_specialty, lcsh:Medicine, Instrumental variables, Disease, 030204 cardiovascular system & hematology, Logistic regression, Adult height, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Risk Factors, Internal medicine, Epidemiology, medicine, Humans, Genetic Testing, Mendelian randomisation, Aged, Hip fracture, business.industry, lcsh:R, Confounding, General Medicine, Odds ratio, Mendelian Randomization Analysis, Middle Aged, medicine.disease, Body Height, Genetically determined height, 030220 oncology & carcinogenesis, Female, business, Research Article
Abstract: Background Adult height is associated with risk of several diseases, but the breadth of such associations and whether these associations are primary or due to confounding are unclear. We examined the association of adult height with 50 diseases spanning multiple body systems using both epidemiological and genetic approaches, the latter to identify un-confounded associations and possible underlying mechanisms. Methods We examined the associations for adult height (using logistic regression adjusted for potential confounders) and genetically determined height (using a two-sample Mendelian randomisation approach with height-associated genetic variants as instrumental variables) in 417,434 individuals of white ethnic background participating in the UK Biobank. We undertook pathway analysis of height-associated genes to identify biological processes that could link height and specific diseases. Results Height was associated with 32 diseases and genetically determined height associated with 12 diseases. Of these, 11 diseases showed a concordant association in both analyses, with taller height associated with reduced risks of coronary artery disease (odds ratio per standard deviation (SD) increase in height ORepi = 0.80, 95% CI 0.78–0.81; OR per SD increase in genetically determined height ORgen = 0.86, 95% CI 0.82–0.90), hypertension (ORepi = 0.83, 95% CI 0.82–0.84; ORgen = 0.88, 95% CI 0.85–0.91), gastro-oesophageal reflux disease (ORepi = 0.85, 95% CI 0.84–0.86; ORgen = 0.94, 95% CI 0.92–0.97), diaphragmatic hernia (ORepi = 0.81, 95% CI 0.79–0.82; ORgen = 0.91, 95% CI 0.88–0.94), but increased risks of atrial fibrillation (ORepi = 1.42, 95% CI 1.38–1.45; ORgen = 1.33, 95% CI 1.26–1.40), venous thromboembolism (ORepi = 1.18, 95% CI 1.16–1.21; ORgen = 1.15, 95% CI 1.11–1.19), intervertebral disc disorder (ORepi = 1.15, 95% CI 1.13–1.18; ORgen = 1.14, 95% CI 1.09–1.20), hip fracture (ORepi = 1.19, 95% CI 1.12–1.26; ORgen = 1.27, 95% CI 1.17–1.39), vasculitis (ORepi = 1.15, 95% CI 1.11–1.19; ORgen = 1.20, 95% CI 1.14–1.28), cancer overall (ORepi = 1.09, 95% CI 1.08–1.11; ORgen = 1.06, 95% CI 1.04–1.08) and breast cancer (ORepi = 1.08, 95% CI 1.06–1.10; ORgen = 1.07, 95% CI 1.03–1.11). Pathway analysis showed multiple height-associated pathways associating with individual diseases. Conclusions Adult height is associated with risk of a range of diseases. We confirmed previously reported height associations for coronary artery disease, atrial fibrillation, venous thromboembolism, intervertebral disc disorder, hip fracture and cancer and identified potential novel associations for gastro-oesophageal reflux disease, diaphragmatic hernia and vasculitis. Multiple biological mechanisms affecting height may affect the risks of these diseases. Electronic supplementary material The online version of this article (10.1186/s12916-018-1175-7) contains supplementary material, which is available to authorized users.
Published: 2018
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23. The narrow-sense and common single nucleotide polymorphism heritability of early repolarization

Author: Harriëtte Riese, Harold Snieder, Tim D. Spector, Nilesh J. Samani, Yi Gang, Wibke Reinhard, Elijah R. Behr, Fruhling Rijsdijk, Claudia P. Cabrera, Rachel Bastiaenen, Christian Hengstenberg, Yalda Jamshidi, Ilja M. Nolte, Helen R. Warren, Christopher P. Nelson, Patricia B. Munroe, Henry O'Connor, Life Course Epidemiology (LCE), and Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE)
Subjects: Adult, Male, Benign early repolarization, Restricted maximum likelihood, Twins, Single-nucleotide polymorphism, Genome-wide association study, 030204 cardiovascular system & hematology, Polymorphism, Single Nucleotide, Cohort Studies, Heritability, Electrocardiography, 03 medical and health sciences, 0302 clinical medicine, Common single nucleotide polymorphisms, Diseases in Twins, Genetic predisposition, Humans, SNP, Medicine, Genetic Predisposition to Disease, Registries, 030212 general & internal medicine, Aged, Genetic association, Genetics, business.industry, Early repolarization, Arrhythmias, Cardiac, Middle Aged, United Kingdom, Sudden cardiac death, Death, Sudden, Cardiac, Female, Cardiology and Cardiovascular Medicine, business, Genome-Wide Association Study
Abstract: BACKGROUND: Early repolarization (ER) is a risk marker for sudden cardiac death. Higher risk is associated with horizontal/descending ST-segment ER in the inferior or inferolateral ECG leads. Studies in family cohorts have demonstrated substantial heritability for the ER pattern, but genome-wide association studies (GWAS) have failed to identify statistically significant and replicable genetic signals.METHODS AND RESULTS: We assessed the narrow-sense and common single nucleotide polymorphism (SNP) heritability of ER and ER subtypes using ECG data from 5829 individuals (TwinsUK, BRIGHT and GRAPHIC cohorts). ER prevalence was 8.3%. In 455 monozygous vs 808 dizygous twin pairs, concordances and twin correlations for ER subtypes (except horizontal/descending ST-segment ER) were higher and familial resemblance (except notched ER) was significant. Narrow-sense heritability estimates derived from 1263 female twin pairs using the structural equation program Mx ranged from 0.00-0.47 and common SNP heritability estimates derived from 4009 unrelated individuals of both sexes using Genome-wide Restricted Maximum Likelihood (GREML) ranged from 0.00-0.36, but none were statistically significant.CONCLUSION: From our data, ER shows limited genetic predisposition. There appears to be significant environmental influence and these modest narrow-sense and common SNP heritability estimates may explain why previous GWAS have been unsuccessful.
Published: 2018
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24. Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention

Author: Michael, Inouye, Gad, Abraham, Christopher P, Nelson, Angela M, Wood, Michael J, Sweeting, Frank, Dudbridge, Florence Y, Lai, Stephen, Kaptoge, Marta, Brozynska, Tingting, Wang, Shu, Ye, Thomas R, Webb, Martin K, Rutter, Ioanna, Tzoulaki, Riyaz S, Patel, Ruth J F, Loos, Bernard, Keavney, Harry, Hemingway, John, Thompson, Hugh, Watkins, Panos, Deloukas, Emanuele, Di Angelantonio, Adam S, Butterworth, John, Danesh, and Nilesh J, Samani
Subjects: Male, Multifactorial Inheritance, Coronary Artery Disease, Genomics, Middle Aged, Risk Assessment, United Kingdom, Primary Prevention, Predictive Value of Tests, Research Design, Risk Factors, Humans, Mass Screening, Female, Genome-Wide Association Study
Abstract: Coronary artery disease (CAD) has substantial heritability and a polygenic architecture. However, the potential of genomic risk scores to help predict CAD outcomes has not been evaluated comprehensively, because available studies have involved limited genomic scope and limited sample sizes.This study sought to construct a genomic risk score for CAD and to estimate its potential as a screening tool for primary prevention.Using a meta-analytic approach to combine large-scale, genome-wide, and targeted genetic association data, we developed a new genomic risk score for CAD (metaGRS) consisting of 1.7 million genetic variants. We externally tested metaGRS, both by itself and in combination with available data on conventional risk factors, in 22,242 CAD cases and 460,387 noncases from the UK Biobank.The hazard ratio (HR) for CAD was 1.71 (95% confidence interval [CI]: 1.68 to 1.73) per SD increase in metaGRS, an association larger than any other externally tested genetic risk score previously published. The metaGRS stratified individuals into significantly different life course trajectories of CAD risk, with those in the top 20% of metaGRS distribution having an HR of 4.17 (95% CI: 3.97 to 4.38) compared with those in the bottom 20%. The corresponding HR was 2.83 (95% CI: 2.61 to 3.07) among individuals on lipid-lowering or antihypertensive medications. The metaGRS had a higher C-index (C = 0.623; 95% CI: 0.615 to 0.631) for incident CAD than any of 6 conventional factors (smoking, diabetes, hypertension, body mass index, self-reported high cholesterol, and family history). For men in the top 20% of metaGRS with2 conventional factors, 10% cumulative risk of CAD was reached by 48 years of age.The genomic score developed and evaluated here substantially advances the concept of using genomic information to stratify individuals with different trajectories of CAD risk and highlights the potential for genomic screening in early life to complement conventional risk prediction.
Published: 2018

25. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

Author: Alison Pattie, Ailith Pirie, Francis S. Collins, Charles Kooperberg, Nienke van Leeuwen, Carmel Moore, Sharon L.R. Kardia, Neil R. Robertson, Lisa Bastarache, Allan Linneberg, Peter T. Campbell, Helena Kuivaniemi, Struan F.A. Grant, Sascha Fauser, Sekar Kathiresan, Lars Lind, Erin B. Ware, Olli T. Raitakari, Dawn M. Waterworth, James G. Wilson, Markus Perola, Chris J. Packard, Michelle L. O'Donoghue, Fredrik Karpe, Roel A. Ophoff, Sailaja Vedantam, Artitaya Lophatananon, Uwe Völker, Emmanouil Tsafantakis, Hakon Hakonarson, Dajiang J. Liu, Craig E. Pennell, Xueling Sim, Jennifer E. Huffman, Sandosh Padmanabhan, Digna R. Velez Edwards, Michiel L. Bots, Ayush Giri, Renée de Mutsert, Emanuele Di Angelantonio, Nicholas J. Wareham, Jin Li, Gail P. Jarvik, Evangelos Evangelou, Anne Tybjærg-Hansen, Patricia B. Munroe, Penny Gordon-Larsen, Lia E. Bang, Ivan Brandslund, Hester M. den Ruijter, Jussi Hernesniemi, Nancy L. Heard-Costa, Angela L. Mazul, Jonathan Tyrer, Danish Saleheen, Mark J. Caulfield, John Andrew Pospisilik, Annette Peters, Caroline Hayward, Iris M. Heid, J. Wouter Jukema, Valérie Turcot, Matt Neville, Rudolf Uher, Patricia A. Peyser, Jessica D. Faul, Asif Rasheed, Shuai Wang, John C. Chambers, Jordi Corominas Galbany, Murray H. Brilliant, Yucheng Jia, Torben Hansen, Veikko Salomaa, Mary F. Feitosa, Mathias Gorski, Li-An Lin, George Dedoussis, Honghuang Lin, Ethan M. Lange, Veronique Vitart, Bratati Kahali, Alexander Teumer, Jerome I. Rotter, Wayne H-H Sheu, Vilmantas Giedraitis, Aliki-Eleni Farmaki, Lorraine Southam, Ele Ferrannini, Anette P. Gjesing, Krina T. Zondervan, Stavroula Kanoni, David J. Roberts, Rebecca S. Fine, Svati H. Shah, Tugce Karaderi, Claudia Langenberg, Stefan Johansson, Elizabeth K. Speliotes, Alexander P. Reiner, Ching-Ti Liu, Yiqin Wang, Pål R. Njølstad, Gabriel Cuellar-Partida, Amanda J. Cox, Tim D. Spector, Paul W. Franks, Anke Tönjes, John D. Rioux, Jeffrey Haessler, Paul L. Auer, Ingrid B. Borecki, Deborah J. Thompson, Weihua Zhang, John R. B. Perry, Paul Elliott, Folkert W. Asselbergs, Myriam Fornage, Ken Sin Lo, Marie Moitry, Paul Mitchell, Martin den Heijer, Zoltán Kutalik, Tune H. Pers, Kari Stefansson, Kari Kuulasmaa, Robert E. Schoen, Mark C.H. De Groot, Laura M. Yerges-Armstrong, Jing Hua Zhao, Beverley Balkau, Peggy L. Peissig, Michael Boehnke, Janie Corley, Katharine R. Owen, Unnur Thorsteinsdottir, Naveed Sattar, Sita H. Vermeulen, Thomas N. Person, Mark I. McCarthy, Paul I.W. de Bakker, David Lamparter, Poorva Mudgal, Nicholette D. Palmer, Maria Karaleftheri, Jan-Håkan Jansson, Ozren Polasek, Ruth J. F. Loos, Daniel R. Witte, Dermot F. Reilly, Anubha Mahajan, Stella Trompet, James A. Perry, Yingchang Lu, Claudia Schurmann, Yii-Der Ida Chen, Hidetoshi Kitajima, Dale R. Nyholt, John Danesh, Pamela J. Schreiner, Narisu Narisu, Jose C. Florez, Adelheid Lempradl, Gerome Breen, Torben Jørgensen, Anu Loukola, Joe Dennis, Hans-Jörgen Grabe, Vilmundur Gudnason, Timo A. Lakka, Heather M. Highland, Sven Bergmann, Marie-Pierre Dubé, Giovanni Veronesi, Martina Müller-Nurasyid, Jaakko Tuomilehto, Nele Friedrich, Joel N. Hirschhorn, Pia R. Kamstrup, Nilesh J. Samani, Josh C. Denny, Mika Kähönen, Massimiliano Cocca, Liang Sun, Karina Meidtner, Carsten A. Böger, Sara M. Willems, Marcelo P. Segura-Lepe, Johanna Kuusisto, Hanieh Yaghootkar, Konstantin Strauch, Ruth Frikke-Schmidt, Jane Gibson, Matti Uusitupa, Oscar H. Franco, Yongmei Liu, Heather M. Stringham, Rohit Varma, Grant W. Montgomery, Dennis O. Mook-Kanamori, Stefania Cappellani, Paul L. Huang, Albert V. Smith, Eric Kim, Anke R. Hammerschlag, Katherine S. Ruth, Carolina Medina-Gomez, Gerard Pasterkamp, Cristen J. Willer, Alisa K. Manning, Frida Renström, René S. Kahn, Lili Milani, Feijie Wang, Tessel E. Galesloot, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Adam S. Butterworth, Tamara B. Harris, Matthew A. Allison, Paul M. Ridker, David J. Carey, Todd L. Edwards, Panos Deloukas, Xiuqing Guo, Lawrence F. Bielak, Leena Moilanen, Heiner Boeing, Peter Kovacs, Karen L. Mohlke, Myriam Rheinberger, Cramer Christensen, Betina H. Thuesen, Mike A. Nalls, Erik Ingelsson, Nicholas G. D. Masca, Colin N. A. Palmer, Audrey E. Hendricks, Linda Broer, Vanisha Mistry, Praveen Surendran, Audrey Y. Chu, Rainer Rauramaa, Angela D'Eustacchio, Helen Griffiths, Satu Männistö, Patrick T. Ellinor, Terho Lehtimäki, Katherine E. Tansey, I. Sadaf Farooqi, Gaëlle Marenne, Anneke I. den Hollander, Jessica van Setten, Hannu Puolijoki, Tinca J. C. Polderman, Timothy M. Frayling, Niels Grarup, Eric Boerwinkle, Gonçalo R. Abecasis, Adam E. Locke, Mengmeng Du, Manuel A. Rivas, Philippe Amouyel, Jaakko Kaprio, Leslie A. Lange, Loes M. Olde Loohuis, Trevor A. Mori, Lambertus A. Kiemeney, Wei Zhao, Eva Rb Petersen, Huaixing Li, Thomas W. Winkler, Tellervo Korhonen, Kathleen Stirrups, Jean Ferrières, Wei Zhou, Ian J. Deary, Guillaume Lettre, M. Arfan Ikram, Alex W. Hewitt, Marit E. Jørgensen, Ian Ford, Liang He, Mark Walker, Stefan Gustafsson, Andre Franke, Yao Hu, Jaana Lindström, Jonathan P. Bradfield, Anne E. Justice, Kristin L. Young, Sander W. van der Laan, Shuang Feng, Yadav Sapkota, Douglas F. Easton, Cornelia M. van Duijn, Amy J. Swift, Kjell Nikus, Helen R. Warren, Christian Theil Have, Wei Gan, Steven A. Lubitz, Harvey D. White, Pirjo Komulainen, John M. Starr, Jeffrey R. O'Connel, Anette Varbo, Daniel I. Chasman, Ruifang Li-Gao, Lynne E. Wagenknecht, Matthias Blüher, Xiaowei Zhan, Thomas F. Vogt, Eleftheria Zeggini, Tamuno Alfred, Katja K.H. Aben, Lars Wallentin, Joanna M. M. Howson, Jie Yao, Eulalia Catamo, Henrik Vestergaard, Gina M. Peloso, Markku Laakso, Matthias B. Schulze, Hayato Tada, Jennifer Wessel, Andrew R. Wood, Erwin P. Bottinger, Cora E. Lewis, Robin Young, Carol A. Wang, Oddgeir L. Holmen, Andrew J. Slater, Jean-Claude Tardif, Xu Lin, Inês Barroso, Gail Davies, Tibor V. Varga, Andrew J. Lotery, Igor Rudan, Andrew T. Hattersley, Michael Stumvoll, David Ellinghaus, Andrew C. Heath, Frank Kee, Christopher P. Nelson, Donald W. Bowden, Alison M. Dunning, Marianne Benn, Oluf Pedersen, Amber A. Burt, Aniruddh P. Patel, G. Kees Hovingh, David S. Crosslin, Gorm B. Jensen, Keng-Hung Lin, Dewan S. Alam, Jian'an Luan, Ying Wu, Tõnu Esko, Kathleen Mullan Harris, Antonietta Robino, Anne U. Jackson, Eirini Marouli, Robert A. Scott, Jette Bork-Jensen, Olov Rolandsson, Nanette R. Lee, Gerard Tromp, Megan L. Grove, Suthesh Sivapalaratnam, Sameer E. Al-Harthi, Roberta McKean-Cowdin, Paolo Gasparini, Ellen W. Demerath, Marco Brumat, Maggie C.Y. Ng, Børge G. Nordestgaard, Kari E. North, Rajiv Chowdhury, Mauno Vanhala, Andrew P. Morris, Sarah E. Medland, Sune F. Nielsen, Ilaria Gandin, Øyvind Helgeland, James P. Cook, Kent D. Taylor, Andrew D. Morris, Gudmar Thorleifsson, André G. Uitterlinden, Pang Yao, Valgerdur Steinthorsdottir, Eric B. Larson, Kerrin S. Small, Cecilia M. Lindgren, Dragana Vuckovic, Mariaelisa Graff, Fotios Drenos, Jaspal S. Kooner, Schurmann, Claudia [0000-0003-4158-9192], Justice, Anne E [0000-0002-8903-8712], Giri, Ayush [0000-0002-7786-4670], Locke, Adam E [0000-0001-6227-198X], Young, Kristin L [0000-0003-0070-6145], Medina-Gomez, Carolina [0000-0001-7999-5538], Winkler, Thomas W [0000-0003-0292-5421], Zeggini, Eleftheria [0000-0003-4238-659X], Zhao, Wei [0000-0002-8301-9297], Zondervan, Krina T [0000-0002-0275-9905], Pospisilik, John A [0000-0002-9745-0977], Rivadeneira, Fernando [0000-0001-9435-9441], Deloukas, Panos [0000-0001-9251-070X], Apollo - University of Cambridge Repository, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, ACS - Atherosclerosis & ischemic syndromes, Internal Medicine, Epidemiology, Obstetrics & Gynecology, Radiology & Nuclear Medicine, CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, INTERVAL Study, ReproGen Consortium, T2D-Genes Consortium, MAGIC Investigators, Understanding Society Scientific Group, Biological Psychology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, British Heart Foundation, Wellcome Trust, Medical Research Council (MRC), National Institute for Health Research, Home Office, National Institutes of Health, Imperial College Healthcare NHS Trust- BRC Funding, Turcot, Valérie, Lu, Yingchang, Highland, Heather M., Schurmann, Claudia, Justice, Anne E., Fine, Rebecca S., Bradfield, Jonathan P., Esko, Tõnu, Giri, Ayush, Graff, Mariaelisa, Guo, Xiuqing, Hendricks, Audrey E., Karaderi, Tugce, Lempradl, Adelheid, Locke, Adam E., Mahajan, Anubha, Marouli, Eirini, Sivapalaratnam, Suthesh, Young, Kristin L., Alfred, Tamuno, Feitosa, Mary F., Masca, Nicholas G. D., Manning, Alisa K., Medina-Gomez, Carolina, Mudgal, Poorva, Ng, Maggie C. Y., Reiner, Alex P., Vedantam, Sailaja, Willems, Sara M., Winkler, Thomas W., Abecasis, Gonçalo, Aben, Katja K., Alam, Dewan S., Alharthi, Sameer E., Allison, Matthew, Amouyel, Philippe, Asselbergs, Folkert W., Auer, Paul L., Balkau, Beverley, Bang, Lia E., Barroso, Inê, Bastarache, Lisa, Benn, Marianne, Bergmann, Sven, Bielak, Lawrence F., Blüher, Matthia, Boehnke, Michael, Boeing, Heiner, Boerwinkle, Eric, Böger, Carsten A., Bork-Jensen, Jette, Bots, Michiel L., Bottinger, Erwin P., Bowden, Donald W., Brandslund, Ivan, Breen, Gerome, Brilliant, Murray H., Broer, Linda, Brumat, Marco, Burt, Amber A., Butterworth, Adam S., Campbell, Peter T., Cappellani, Stefania, Carey, David J., Catamo, Eulalia, Caulfield, Mark J., Chambers, John C., Chasman, Daniel I., Chen, Yii-Der I., Chowdhury, Rajiv, Christensen, Cramer, Chu, Audrey Y., Cocca, Massimiliano, Collins, Francis S., Cook, James P., Corley, Janie, Corominas Galbany, Jordi, Cox, Amanda J., Crosslin, David S., Cuellar-Partida, Gabriel, D'Eustacchio, Angela, Danesh, John, Davies, Gail, Bakker, Paul I. W., Groot, Mark C. H., Mutsert, Renée, Deary, Ian J., Dedoussis, George, Demerath, Ellen W., Heijer, Martin, Hollander, Anneke I., Ruijter, Hester M., Dennis, Joe G., Denny, Josh C., Angelantonio, Emanuele, Drenos, Fotio, Du, Mengmeng, Dubé, Marie-Pierre, Dunning, Alison M., Easton, Douglas F., Edwards, Todd L., Ellinghaus, David, Ellinor, Patrick T., Elliott, Paul, Evangelou, Evangelo, Farmaki, Aliki-Eleni, Farooqi, I. Sadaf, Faul, Jessica D., Fauser, Sascha, Feng, Shuang, Ferrannini, Ele, Ferrieres, Jean, Florez, Jose C., Ford, Ian, Fornage, Myriam, Franco, Oscar H., Franke, Andre, Franks, Paul W., Friedrich, Nele, Frikke-Schmidt, Ruth, Galesloot, Tessel E., Gan, Wei, Gandin, Ilaria, Gasparini, Paolo, Gibson, Jane, Giedraitis, Vilmanta, Gjesing, Anette P., Gordon-Larsen, Penny, Gorski, Mathia, Grabe, Hans-Jörgen, Grant, Struan F. A., Grarup, Niel, Griffiths, Helen L., Grove, Megan L., Gudnason, Vilmundur, Gustafsson, Stefan, Haessler, Jeff, Hakonarson, Hakon, Hammerschlag, Anke R., Hansen, Torben, Harris, Kathleen Mullan, Harris, Tamara B., Hattersley, Andrew T., Have, Christian T., Hayward, Caroline, He, Liang, Heard-Costa, Nancy L., Heath, Andrew C., Heid, Iris M., Helgeland, Øyvind, Hernesniemi, Jussi, Hewitt, Alex W., Holmen, Oddgeir L., Hovingh, G. Kee, Howson, Joanna M. M., Hu, Yao, Huang, Paul L., Huffman, Jennifer E., Ikram, M. Arfan, Ingelsson, Erik, Jackson, Anne U., Jansson, Jan-Håkan, Jarvik, Gail P., Jensen, Gorm B., Jia, Yucheng, Johansson, Stefan, Jørgensen, Marit E., Jørgensen, Torben, Jukema, J. Wouter, Kahali, Bratati, Kahn, René S., Kähönen, Mika, Kamstrup, Pia R., Kanoni, Stavroula, Kaprio, Jaakko, Karaleftheri, Maria, Kardia, Sharon L. R., Karpe, Fredrik, Kathiresan, Sekar, Kee, Frank, Kiemeney, Lambertus A., Kim, Eric, Kitajima, Hidetoshi, Komulainen, Pirjo, Kooner, Jaspal S., Kooperberg, Charle, Korhonen, Tellervo, Kovacs, Peter, Kuivaniemi, Helena, Kutalik, Zoltán, Kuulasmaa, Kari, Kuusisto, Johanna, Laakso, Markku, Lakka, Timo A., Lamparter, David, Lange, Ethan M., Lange, Leslie A., Langenberg, Claudia, Larson, Eric B., Lee, Nanette R., Lehtimäki, Terho, Lewis, Cora E., Li, Huaixing, Li, Jin, Li-Gao, Ruifang, Lin, Honghuang, Lin, Keng-Hung, Lin, Li-An, Lin, Xu, Lind, Lar, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Liu, Dajiang J., Liu, Yongmei, Lo, Ken S., Lophatananon, Artitaya, Lotery, Andrew J., Loukola, Anu, Luan, Jian'An, Lubitz, Steven A., Lyytikäinen, Leo-Pekka, Männistö, Satu, Marenne, Gaëlle, Mazul, Angela L., Mccarthy, Mark I., McKean-Cowdin, Roberta, Medland, Sarah E., Meidtner, Karina, Milani, Lili, Mistry, Vanisha, Mitchell, Paul, Mohlke, Karen L., Moilanen, Leena, Moitry, Marie, Montgomery, Grant W., Mook-Kanamori, Dennis O., Moore, Carmel, Mori, Trevor A., Morris, Andrew D., Morris, Andrew P., Müller-Nurasyid, Martina, Munroe, Patricia B., Nalls, Mike A., Narisu, Narisu, Nelson, Christopher P., Neville, Matt, Nielsen, Sune F., Nikus, Kjell, Njølstad, Pål R., Nordestgaard, Børge G., Nyholt, Dale R., O'Connel, Jeffrey R., O'Donoghue, Michelle L., Olde Loohuis, Loes M., Ophoff, Roel A., Owen, Katharine R., Packard, Chris J., Padmanabhan, Sandosh, Palmer, Colin N. A., Palmer, Nicholette D., Pasterkamp, Gerard, Patel, Aniruddh P., Pattie, Alison, Pedersen, Oluf, Peissig, Peggy L., Peloso, Gina M., Pennell, Craig E., Perola, Marku, Perry, James A., Perry, John R. B., Pers, Tune H., Person, Thomas N., Peters, Annette, Petersen, Eva R. B., Peyser, Patricia A., Pirie, Ailith, Polasek, Ozren, Polderman, Tinca J., Puolijoki, Hannu, Raitakari, Olli T., Rasheed, Asif, Rauramaa, Rainer, Reilly, Dermot F., Renström, Frida, Rheinberger, Myriam, Ridker, Paul M., Rioux, John D., Rivas, Manuel A., Roberts, David J., Robertson, Neil R., Robino, Antonietta, Rolandsson, Olov, Rudan, Igor, Ruth, Katherine S., Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sapkota, Yadav, Sattar, Naveed, Schoen, Robert E., Schreiner, Pamela J., Schulze, Matthias B., Scott, Robert A., Segura-Lepe, Marcelo P., Shah, Svati H., Sheu, Wayne H. -H., Sim, Xueling, Slater, Andrew J., Small, Kerrin S., Smith, Albert V., Southam, Lorraine, Spector, Timothy D., Speliotes, Elizabeth K., Starr, John M., Stefansson, Kari, Steinthorsdottir, Valgerdur, Stirrups, Kathleen E., Strauch, Konstantin, Stringham, Heather M., Stumvoll, Michael, Sun, Liang, Surendran, Praveen, Swift, Amy J., Tada, Hayato, Tansey, Katherine E., Tardif, Jean-Claude, Taylor, Kent D., Teumer, Alexander, Thompson, Deborah J., Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, Thuesen, Betina H., Tönjes, Anke, Tromp, Gerard, Trompet, Stella, Tsafantakis, Emmanouil, Tuomilehto, Jaakko, Tybjaerg-Hansen, Anne, Tyrer, Jonathan P., Uher, Rudolf, Uitterlinden, André G., Uusitupa, Matti, Laan, Sander W., Duijn, Cornelia M., Leeuwen, Nienke, Van Setten, Jessica, Vanhala, Mauno, Varbo, Anette, Varga, Tibor V., Varma, Rohit, Velez Edwards, Digna R., Vermeulen, Sita H., Veronesi, Giovanni, Vestergaard, Henrik, Vitart, Veronique, Vogt, Thomas F., Völker, Uwe, Vuckovic, Dragana, Wagenknecht, Lynne E., Walker, Mark, Wallentin, Lar, Wang, Feijie, Wang, Carol A., Wang, Shuai, Wang, Yiqin, Ware, Erin B., Wareham, Nicholas J., Warren, Helen R., Waterworth, Dawn M., Wessel, Jennifer, White, Harvey D., Willer, Cristen J., Wilson, James G., Witte, Daniel R., Wood, Andrew R., Wu, Ying, Yaghootkar, Hanieh, Yao, Jie, Yao, Pang, Yerges-Armstrong, Laura M., Young, Robin, Zeggini, Eleftheria, Zhan, Xiaowei, Zhang, Weihua, Zhao, Jing Hua, Zhao, Wei, Zhou, Wei, Zondervan, Krina T, Rotter, Jerome I., Pospisilik, John A., Rivadeneira, Fernando, Borecki, Ingrid B., Deloukas, Pano, Frayling, Timothy M., Lettre, Guillaume, North, Kari E., Lindgren, Cecilia M., Hirschhorn, Joel N., Loos, Ruth J. F., Internal medicine, AGEM - Endocrinology, metabolism and nutrition, Amsterdam Movement Sciences - Rehabilitation & Development, Amsterdam Movement Sciences - Restoration and Development, APH - Aging & Later Life, Physiology, and VU University medical center
Subjects: 0301 basic medicine, Male, ReproGen Consortium, MathematicsofComputing_GENERAL, Genome-wide association study, medicine.disease_cause, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Body Mass Index, genetics [Obesity], 0302 clinical medicine, Gene Frequency, Glucose homeostasis, Adult, Animals, Drosophila/genetics, Energy Intake/genetics, Energy Metabolism/genetics, Female, Genetic Variation, Humans, Obesity/genetics, Proteins/genetics, Syndrome, 11 Medical and Health Sciences, 2. Zero hunger, Genetics, Genetics & Heredity, Mutation, CHD Exome+ Consortium, body mass index, TheoryofComputation_GENERAL, T2D-Genes Consortium, GENOME-WIDE ASSOCIATION, MELANOCORTIN-4 RECEPTOR GENE, DONEPEZIL 23 MG, FRAMESHIFT MUTATION, GLUCOSE-HOMEOSTASIS, HYPOTHALAMIC AMPK, CODING VARIANTS, BLOOD-PRESSURE, RARE, LOCI, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Drosophila, ExomeBP Consortium, Life Sciences & Biomedicine, INTERVAL Study, Understanding Society Scientific Group, EPIC InterAct Consortium, genetics [Energy Metabolism], Biology, EPIC-CVD Consortium, Frameshift mutation, 03 medical and health sciences, MAGIC Investigators, All institutes and research themes of the Radboud University Medical Center, Genetic, SDG 3 - Good Health and Well-being, ddc:570, genetics [Drosophila], medicine, Journal Article, Global Lipids Genetic Consortium, Obesity, Gene, Allele frequency, Genetic association, Science & Technology, Proteins, 06 Biological Sciences, genetics [Proteins], Minor allele frequency, 030104 developmental biology, GoT2D Genes Consortium, Energy Intake, Energy Metabolism, genetics [Energy Intake], 030217 neurology & neurosurgery, Developmental Biology
Abstract: Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
Published: 2018
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26. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

Author: Patricia A. Peyser, Jessica D. Faul, Sing Hui Lim, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Marzyeh Amini, Benjamin Lehne, W. James Gauderman, Wei Zhao, Andres Metspalu, R. Graham Barr, Albertine J. Oldehinkel, Xueling Sim, Norihiro Kato, Daniel I. Chasman, Jasmin Divers, Fernando Pires Hartwig, Jing Hua Zhao, Yu Caizheng, Roby Joehanes, Nora Franceschini, Nita G. Forouhi, Charumathi Sabanayagam, Paul M. Ridker, Yun J. Sung, Mary F. Feitosa, Barbara V. Howard, Vilmundur Gudnason, Jost B. Jonas, Hua Tang, Yukihide Momozawa, Michael R. Brown, Tibor V. Varga, Franco Giulianini, Francis S. Collins, Alexander P. Reiner, Ulrich Broeckel, Tuomo Rankinen, Preeti Gupta, Tin Louie, Eric Boerwinkle, Saskia P. Hagenaars, Mark J. Caulfield, Albert Hofman, Aravinda Chakravarti, Paul W. Franks, Nicole Schupf, E. Shyong Tai, Carl D. Langefeld, Carsten Oliver Schmidt, Lawrence F. Bielak, Treva Rice, Anne B. Newman, Ioanna Ntalla, Kae-Woei Liang, Nilesh J. Samani, Alena Stančáková, Thomas H. Mosley, Dan E. Arking, Kenneth Rice, Bruce M. Psaty, Jirong Long, Yechiel Friedlander, Jianjun Liu, Donna K. Arnett, Ya X. Wang, Xiuqing Guo, Anne E. Justice, Pamela J. Schreiner, Renée de Mutsert, Lisa de las Fuentes, Marcus Dörr, Amy R. Bentley, Susan Redline, Cornelia M. van Duijn, Melissa A. Richard, Sarah E. Harris, Pirjo Komulainen, Nicholette D. Palmer, Alexandre C. Pereira, Michele K. Evans, Jie Yao, Adesola Ogunniyi, Wen Bin Wei, Anuradhani Kasturiratne, Yoichiro Kamatani, Charles Kooperberg, Helen R. Warren, Shiow Lin, Ozren Polasek, Makoto Hirata, Anubha Mahajan, Yingchang Lu, Jonathan Marten, Claudia P. Cabrera, Chuan Gao, Oscar H. Franco, Yongmei Liu, Mathilde Boissel, Olli T. Raitakari, Xiao-Ou Shu, Yii-Der Ida Chen, Y Liu, Claudia Langenberg, C. Charles Gu, Cathy C. Laurie, Tamuno Alfred, L. Adrienne Cupples, Yajuan Wang, Colin A. McKenzie, Mika Kähönen, Yize Li, Xiaofeng Zhu, Nana Matoba, James Scott, Marguerite R. Irvin, Markku Laakso, Frida Renström, Woon-Puay Koh, Dabeeru C. Rao, Yucheng Jia, Paul Elliott, Tangchun Wu, Caroline Hayward, Tamara B. Harris, Alison D. Murray, Karin Leander, Reedik Mägi, Keng-Hung Lin, Harold Snieder, Laura J. Bierut, Christine Williams, Solomon K. Musani, Michael A. Province, Charles B. Eaton, Sharon L.R. Kardia, Mario Sims, Steven C. Hunt, Stephen B. Kritchevsky, Weihua Zhang, David R. Weir, Andrea R. V. R. Horimoto, Saima Afaq, Hugues Aschard, Ilaria Gandin, Michiaki Kubo, Jaspal S. Kooner, Peter S. Braund, Jeffrey R. O'Connell, Kent D. Taylor, Annette Peters, Wei Zheng, Rainer Rettig, Nicola D. Kerrison, Donald W. Bowden, Ruth J. F. Loos, Tanika N. Kelly, Dennis O. Mook-Kanamori, Terrence Forrester, Igor Rudan, Brigitte Kühnel, Christopher P. Nelson, Ching-Yu Cheng, Alanna C. Morrison, Tuomas O. Kilpeläinen, Jian-Min Yuan, Bruna Gigante, Lisa R. Yanek, Ching-Ti Liu, Ananda R. Wickremasinghe, Michael Boehnke, Tin Aung, Jin-Fang Chai, Kaare Christensen, Wen-Jane Lee, Stéphanie Debette, Jennifer A. Brody, Wayne Huey-Herng Sheu, John M. C. Connell, Ganesh Chauhan, Jian'an Luan, Melanie Waldenberger, Erin B. Ware, Paolo Gasparini, Chew-Kiat Heng, Lili Milani, Alisa K. Manning, José Eduardo Krieger, Kiang Liu, Mickaël Canouil, Robert A. Scott, Yik Ying Teo, Gregory P. Wilson, Stella Aslibekyan, Andrew P. Morris, Thomas Meitinger, Jennifer A. Smith, Yi-Jen Hung, Myriam Fornage, Dina Vojinovic, William R. Scott, Virginia Fisher, Peter S. Sever, André G. Uitterlinden, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Rajkumar Dorajoo, Georg Ehret, Heming Wang, Sandosh Padmanabhan, Jingmin Liu, Colleen M. Sitlani, Anuj Goel, Bamidele O. Tayo, Daniel Levy, Barry I. Freedman, Marie Loh, Yanhua Zhou, Charles N. Rotimi, Qing Duan, Aldi T. Kraja, He Meian, Archie Campbell, Kari E. North, Tien Yin Wong, Salman M. Tajuddin, Traci M. Bartz, Mike A. Nalls, Misa Graff, Dongfeng Gu, Sudha Seshadri, Tõnu Esko, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Fang-Chi Hsu, Chiea Chuen Khor, Changwei Li, Sami Heikkinen, Maris Alver, Karen Schwander, Wanqing Wen, Rainer Rauramaa, Lynne E. Wagenknecht, Ubaydah Nasri, Peter J. Munson, He Gao, Evangelos Evangelou, Philippe Froguel, Ervin R. Fox, Christian Gieger, Kurt Lohman, James S. Pankow, Nicholas J. Wareham, Lynda M. Rose, Massimiliano Cocca, Rob M. van Dam, John M. Starr, Martin Farrall, Stefan Weiss, Konstantin Strauch, Albert V. Smith, Jill M. Norris, Raymond Noordam, Cora E. Lewis, Claude Bouchard, Ulf de Faire, Walter Palmas, Diane M. Becker, Kevin Sandow, Tomohiro Katsuya, Jiang He, Nancy L. Pedersen, Bernardo L. Horta, Joel D. Kaufman, Terho Lehtimäki, Heikki A. Koistinen, Thomas W. Winkler, Ian J. Deary, Richard S. Cooper, Fumihiko Takeuchi, Jerome I. Rotter, Lihua Wang, Yih Chung Tham, Babatunde L. Salako, Mary K. Wojczynski, Pim van der Harst, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Patricia B. Munroe, Ehret, Georg Benedikt, Harvard School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), The various Gene-Lifestyle Interaction projects, including this one, are largely supported by a grant from the U.S. National Heart, Lung, and Blood Institute (NHLBI), the National Institutes of Health, R01HL118305. A Career Development Award (K25HL121091), also from the NHLBI, enabled Y.J.S. to lead this project. Full set of study-specific funding sources and acknowledgments appear in the Supplemental Note., Sung, Yun J., Winkler, Thomas W., de las Fuentes, Lisa, Bentley, Amy R., Brown, Michael R., Kraja, Aldi T., Schwander, Karen, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Feitosa, Mary F., Kilpeläinen, Tuomas O., Richard, Melissa A., Noordam, Raymond, Aslibekyan, Stella, Aschard, Hugue, Bartz, Traci M., Dorajoo, Rajkumar, Liu, Yongmei, Manning, Alisa K., Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M., Tayo, Bamidele O., Warren, Helen R., Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E., Hartwig, Fernando Pire, Horimoto, Andrea R. V. R., Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, ’an Luan, Jian, Mckenzie, Colin A., Meian, He, Nelson, Christopher P., Rauramaa, Rainer, Schupf, Nicole, Scott, Robert A., Sheu, Wayne H. H., Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Wang, Heming, Wang, Yajuan, Ware, Erin B., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan, Aung, Tin, Barr, R. Graham, Bielak, Lawrence F., Boerwinkle, Eric, Bottinger, Erwin P., Braund, Peter S., Brody, Jennifer A., Broeckel, Ulrich, Cabrera, Claudia P., Cade, Brian, Caizheng, Yu, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Chauhan, Ganesh, Christensen, Kaare, Cocca, Massimiliano, Collins, Francis S., Connell, John M., de Mutsert, Renée, de Silva, H. Janaka, Debette, Stephanie, Dörr, Marcu, Duan, Qing, Eaton, Charles B., Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D., Fisher, Virginia A., Forouhi, Nita G., Franco, Oscar H., Friedlander, Yechiel, Gao, He, Gigante, Bruna, Graff, Misa, Gu, C. Charle, Gu, Dongfeng, Gupta, Preeti, Hagenaars, Saskia P., Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hofman, Albert, Howard, Barbara V., Hunt, Steven, Irvin, Marguerite R., Jia, Yucheng, Joehanes, Roby, Justice, Anne E., Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D., Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A., Komulainen, Pirjo, Kooperberg, Charle, Krieger, Jose E., Kubo, Michiaki, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lim, Sing Hui, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Kiang, Liu, Yeheng, Loh, Marie, Lohman, Kurt K., Long, Jirong, Louie, Tin, Mägi, Reedik, Mahajan, Anubha, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Morris, Andrew P., Mosley, Thomas H., Munson, Peter, Murray, Alison D., Nalls, Mike A., Nasri, Ubaydah, Norris, Jill M., North, Kari, Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R., Palmer, Nicholette D., Pankow, James S., Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Raitakari, Olli T., Renström, Frida, Rice, Treva K., Ridker, Paul M., Robino, Antonietta, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L., Sandow, Kevin, Schmidt, Carsten O., Schreiner, Pamela J., Scott, William R., Seshadri, Sudha, Sever, Peter, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G., Waldenberger, Melanie, Wang, Lihua, Wang, Ya X., Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K., Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Chen, Yii-Der Ida, de Faire, Ulf, Deary, Ian J., Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost B., Kato, Norihiro, Kooner, Jaspal S., Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K. E., Newman, Anne B., Oldehinkel, Albertine J., Pereira, Alexandre C., Redline, Susan, Rettig, Rainer, Samani, Nilesh J., Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Kamatani, Yoichiro, Laurie, Cathy C., Bouchard, Claude, Cooper, Richard S., Evans, Michele K., Gudnason, Vilmundur, Kardia, Sharon L. R., Kritchevsky, Stephen B., Levy, Daniel, O'Connell, Jeff R., Psaty, Bruce M., van Dam, Rob M., Sims, Mario, Arnett, Donna K., Mook-Kanamori, Dennis O., Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Fornage, Myriam, Rotimi, Charles N., Province, Michael A., van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Loos, Ruth J. F., Reiner, Alex P., Rotter, Jerome I., Zhu, Xiaofeng, Bierut, Laura J., Gauderman, W. Jame, Caulfield, Mark J., Elliott, Paul, Rice, Kenneth, Munroe, Patricia B., Morrison, Alanna C., Cupples, L. Adrienne, Rao, Dabeeru C., Chasman, Daniel I., Marten, Jonathan [0000-0001-6916-2014], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Epidemiology, Internal Medicine, Gastroenterology & Hepatology, Clinicum, Department of Medicine, Endokrinologian yksikkö, HUS Internal Medicine and Rehabilitation, and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Male, multi-ancestry, Smoking/genetics, Genome-wide association study, Continental Population Groups/genetics, INTIMA-MEDIA THICKNESS, Cohort Studies, Diastole, Polymorphism (computer science), GWAS, TRANSTORNOS RELACIONADOS AO USO DE ÁLCOOL, GENE-ENVIRONMENT INTERACTION, Genetics (clinical), ddc:616, INSULIN-RESISTANCE, Multi-ancestry, Smoking, 1184 Genetics, developmental biology, physiology, blood pressure, GxE interaction, Diastole/genetics, 3. Good health, FALSE DISCOVERY RATE, Blood pressure, Medical genetics, CORONARY-ARTERY-DISEASE, Female, Single Nucleotide/genetics, Systole/genetics, BODY-MASS INDEX, ASSOCIATION ANALYSIS, COMMON VARIANTS, METAANALYSIS, DISEASE, OBESITY, JOINT, medicine.medical_specialty, lifestyle, SUSCEPTIBILITY LOCI, Blood Pressure/genetics, Systole, Quantitative Trait Loci, Single-nucleotide polymorphism, Accounting, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, GxE interactions, Article, smoking, 03 medical and health sciences, Genetic, medicine, Genetics, Journal Article, Humans, Polymorphism, Genetic association, ALCOHOL DEPENDENCE, business.industry, Racial Groups, Reproducibility of Results, Epistasis, Genetic, ta3121, Lifestyle, Genetic architecture, NICOTINE DEPENDENCE, 030104 developmental biology, Genetic Loci, Epistasis, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, business, Quantitative Trait Loci/genetics, Genome-Wide Association Study
Abstract: The authors declare no competing financial interests except for the following. B.M.P. serves on the DSMB of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson; O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health); L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,“Markers for Addiction” covering the use of certain SNPs in determining the diagnosis, prognosis, and treatment of addiction; P.S. has received research awards from Pfizer Inc., is a consultant for Mundipharma Co. (Cambridge, UK), is a patent holder with Biocompatibles UK Ltd. (Franham, Surrey, UK) (Title: Treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor; Patent number: 20120263794), and has a patent application with University of Heidelberg (Heidelberg, Germany) (Title: Agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia; Europäische Patentanmeldung 15 000 771.4); P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative (IMI) project; M.A.N.’s participation is supported by a consulting contract between Data Tecnica Internation and the National Institute on Aging (NIH, Bethesda, MD, USA), and he also consults for Illumina, Inc., the Michael J. Fox Foundation, and University of California Healthcare among others; and M.J.C. is Chief Scientist for Genomics England, a UK government company.; International audience; Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined approximately 18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 x 10(-8)) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 x 10(-8)). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).
Published: 2018
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27. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Author: Olle Melander, Niek Verweij, Uwe Völker, Morris A. Swertz, Seppo Koskinen, David Conen, Lars Lind, Rossella Sorice, Philippe Amouyel, Andres Metspalu, David J. Stott, Marty Larson, Francis S. Collins, Ozren Polasek, Paul F. O'Reilly, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Michela Traglia, Tineka Blake, John Attia, Bruce M. Psaty, Massimo Mangino, Alison Pattie, Marco Brumat, Dorret I. Boomsma, Harry Campbell, Daniel I. Chasman, Tõnu Esko, Wei-Yu Lin, Rodney J. Scott, Marjo-Riitta Järvelin, Guillaume Paré, Adriana M. Hung, Marina Evangelou, Quang Tri Nguyen, Markus Perola, Kenneth Rice, Yong Qian, Antonietta Robino, Anne U. Jackson, Ian J. Deary, Mika Kähönen, Cristina Menni, Veronique Vitart, Igor Rudan, Ganesh Chauhan, Aravinda Chakravarti, Jennifer E. Huffman, John M. Starr, Anubha Mahajan, Christopher Newton-Cheh, Peter Almgren, Yuri Milaneschi, Jacklyn N. Hellwege, Roby Joehanes, Christopher P. Nelson, Eleftheria Zeggini, Elizabeth G. Holliday, Peter J. van der Most, Annette Peters, Paul M. Ridker, Michael Boehnke, Joris Deelen, Brenda W.J.H. Penninx, Neil Poulter, Renée de Mutsert, Rick Jansen, Fu Liang Ng, Anne-Claire Vergnaud, Ilja M. Nolte, Meixia Ren, Gail Davies, John M. C. Connell, Jian'an Luan, Todd L. Edwards, Benjamin Lehne, K. Witkowska, Lili Milani, Stéphanie Debette, Georgios Ntritsos, Claudia P. Cabrera, Paolo Gasparini, Jouke-Jan Hottenga, Antti-Pekka Sarin, Kelly Cho, Robert A. Scott, Veikko Salomaa, Niki Dimou, David C. Liewald, Pim van der Harst, Teemu J. Niiranen, Denis C. Shields, Leo-Pekka Lyytikäinen, Andrew P. Morris, Murielle Bochud, Helena Schmidt, Bernard Keavney, Christopher Oldmeadow, Ioanna Tzoulaki, Jaakko Tuomilehto, Louise V. Wain, Reedik Mägi, Christian Gieger, Caterina Barbieri, Aki S. Havulinna, Fabiola Del Greco M, Dragana Vuckovic, Alan F. Wright, J. Wouter Jukema, Reinhold Schmidt, Marcus Dörr, Franco Giulianini, Evan Tzanis, Erwin P. Bottinger, David Mosen-Ansorena, Ruth J. F. Loos, A. Mesut Erzurumluoglu, Teresa Nutile, Alice Stanton, Jun Ding, Yingchang Lu, Roberto Elosua, Walter Palmas, James F. Wilson, Edith Hofer, Giorgia Girotto, Bram P. Prins, Anna Morgan, Anuj Goel, Edward G. Lakatta, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Siim Sõber, Nicholas J. Wareham, Adam S. Butterworth, Ilaria Gandin, Xiuqing Guo, Kent D. Taylor, Andrew D. Morris, Paul Knekt, Cinzia Sala, Peter P. Pramstaller, Joshua C. Bis, Archie Campbell, Raha Pazoki, Hugh Watkins, Csaba P. Kovesdy, Yan V. Sun, Lynda M. Rose, Jaspal S. Kooner, Maciej Tomaszewski, Massimiliano Cocca, Claudia Langenberg, Gonneke Willemsen, Eco J. C. de Geus, Peter W.F. Wilson, Ahmad Vaez, Albert Hofman, Kristin L. Ayers, Sara M. Willems, Germaine C. Verwoert, Christophe Tzourio, Martin Farrall, Albert V. Smith, Joanna M. M. Howson, Daniela Toniolo, Digna R. Velez Edwards, Antti Jula, Stefan Enroth, Ruifang Li-Gao, Nabi Shah, Weihua Zhang, Paul Elliott, Dennis O. Mook-Kanamori, Tatijana Zemunik, Shih-Jen Hwang, Helen R. Warren, Peter J. Munson, He Gao, Ivana Kolcic, Peter S. Braund, Tamara B. Harris, Raymond Noordam, Stella Trompet, Markku Laakso, Peter K. Joshi, Zoltán Kutalik, Sébastien Thériault, Åsa Johansson, Rainer Rettig, Sarah H. Wild, Patricia B. Munroe, John Danesh, Anders Hamsten, Mark J. Caulfield, Gonçalo R. Abecasis, Praveen Surendran, Peter S. Sever, David S. Siscovick, Terho Lehtimäki, Priyanka Nandakumar, Aarno Palotie, Muralidharan Sargurupremraj, Chiara Batini, Nick Shrine, Harold Snieder, Cumhur Y Demirkale, Teresa Ferreira, André G. Uitterlinden, Sekar Kathiresan, Mattias Frånberg, Lorna M. Lopez, J. Michael Gaziano, Cornelia M. van Duijn, Maris Laan, Samuli Ripatti, John C. Chambers, Martin H. de Borst, Johan Sundström, Alan J. Gow, Caroline Hayward, Oscar H. Franco, Yongmei Liu, Sandosh Padmanabhan, Ibrahim Karaman, Georg Ehret, Cecilia M. Lindgren, Mike A. Nalls, Chrysovalanto Mamasoula, Daniela Ruggiero, Erik Ingelsson, Colin N. A. Palmer, Alan James, Elin Org, Kati Kristiansson, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Vilmantas Giedraitis, Jerome I. Rotter, Yasaman Saba, Daniel Levy, Li Lin, Janina S. Ried, Michael R. Barnes, Harriëtte Riese, Andrew D. Johnson, David P. Strachan, Martin D. Tobin, Lorenz Risch, Rona J. Strawbridge, Jing Hua Zhao, Vilmundur Gudnason, Borbala Mifsud, Eric Boerwinkle, Catharina A. Hartman, Ben A. Oostra, Dan E. Arking, Andrew A. Hicks, Peter Vollenweider, Thibaud Boutin, Philip S. Tsao, Jie Yao, Ayush Giri, Marina Ciullo, Morris J. Brown, Alanna C. Morrison, Kay-Tee Khaw, Francesco Cucca, Jonathan Marten, Olli T. Raitakari, Christopher J. O'Donnell, Jaume Marrugat, Tim D. Spector, Heather J. Cordell, Nilesh J. Samani, Simon Thom, Sarah E. Harris, UNIVERSITY OF OULU, Commission of the European Communities, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, National Institute for Health Research, British Heart Foundation, Medical Research Council (MRC), UK DRI Ltd, Epidemiology, Internal Medicine, Lee Kong Chian School of Medicine (LKCMedicine), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Ehret, Georg Benedikt, Lin, Li, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Evangelou, Evangelo, Warren, Helen R, Mosen-Ansorena, David, Mifsud, Borbala, Pazoki, Raha, Gao, He, Ntritsos, Georgio, Dimou, Niki, Cabrera, Claudia P, Karaman, Ibrahim, Ng, Fu Liang, Evangelou, Marina, Witkowska, Katarzyna, Tzanis, Evan, Hellwege, Jacklyn N, Giri, Ayush, Velez Edwards, Digna R, Sun, Yan V, Cho, Kelly, Gaziano, J Michael, Wilson, Peter W F, Tsao, Philip S, Kovesdy, Csaba P, Esko, Tonu, Mägi, Reedik, Milani, Lili, Almgren, Peter, Boutin, Thibaud, Debette, Stéphanie, Ding, Jun, Giulianini, Franco, Holliday, Elizabeth G, Jackson, Anne U, Li-Gao, Ruifang, Lin, Wei-Yu, Luan, Jian'An, Mangino, Massimo, Oldmeadow, Christopher, Prins, Bram Peter, Qian, Yong, Sargurupremraj, Muralidharan, Shah, Nabi, Surendran, Praveen, Thériault, Sébastien, Verweij, Niek, Willems, Sara M, Zhao, Jing-Hua, Amouyel, Philippe, Connell, John, de Mutsert, Renée, Doney, Alex S F, Farrall, Martin, Menni, Cristina, Morris, Andrew D, Noordam, Raymond, Paré, Guillaume, Poulter, Neil R, Shields, Denis C, Stanton, Alice, Thom, Simon, Abecasis, Gonçalo, Amin, Najaf, Arking, Dan E, Ayers, Kristin L, Barbieri, Caterina M, Batini, Chiara, Bis, Joshua C, Blake, Tineka, Bochud, Murielle, Boehnke, Michael, Boerwinkle, Eric, Boomsma, Dorret I, Bottinger, Erwin P, Braund, Peter S, Brumat, Marco, Campbell, Archie, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chauhan, Ganesh, Ciullo, Marina, Cocca, Massimiliano, Collins, Franci, Cordell, Heather J, Davies, Gail, Borst, Martin H de, Geus, Eco J de, Deary, Ian J, Deelen, Jori, Del Greco M, Fabiola, Demirkale, Cumhur Yusuf, Dörr, Marcu, Ehret, Georg B, Elosua, Roberto, Enroth, Stefan, Erzurumluoglu, A Mesut, Ferreira, Teresa, Frånberg, Mattia, Franco, Oscar H, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmanta, Gieger, Christian, Girotto, Giorgia, Goel, Anuj, Gow, Alan J, Gudnason, Vilmundur, Guo, Xiuqing, Gyllensten, Ulf, Hamsten, Ander, Harris, Tamara B, Harris, Sarah E, Hartman, Catharina A, Havulinna, Aki S, Hicks, Andrew A, Hofer, Edith, Hofman, Albert, Hottenga, Jouke-Jan, Huffman, Jennifer E, Hwang, Shih-Jen, Ingelsson, Erik, James, Alan, Jansen, Rick, Jarvelin, Marjo-Riitta, Joehanes, Roby, Johansson, Åsa, Johnson, Andrew D, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D, Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S, Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Mari, Larson, Marty, Launer, Lenore J, Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C M, Lind, Lar, Lindgren, Cecilia M, Liu, Yongmei, Loos, Ruth J F, Lopez, Lorna M, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P, Morrison, Alanna C, Munson, Peter J, Nalls, Mike A, Nandakumar, Priyanka, Nelson, Christopher P, Niiranen, Teemu, Nolte, Ilja M, Nutile, Teresa, Oldehinkel, Albertine J, Oostra, Ben A, O'Reilly, Paul F, Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, Penninx, Brenda W J H, Perola, Marku, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P, Nguyen, Quang Tri, Raitakari, Olli T, Ren, Meixia, Rettig, Rainer, Rice, Kenneth, Ridker, Paul M, Ried, Janina S, Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M, Rotter, Jerome I, Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F, Salomaa, Veikko, Samani, Nilesh J, Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V, Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M, Stott, David J, Strachan, David P, Strawbridge, Rona J, Sundström, Johan, Swertz, Morris A, Taylor, Kent D, Teumer, Alexander, Tobin, Martin D, Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G, Vaez, Ahmad, van der Most, Peter J, van Duijn, Cornelia M, Vergnaud, Anne-Claire, Verwoert, Germaine C, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Wilson, James F, Wright, Alan F, Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R, Butterworth, Adam S, Chasman, Daniel I, Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna M M, Laakso, Markku, Lakatta, Edward G, Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O, Palmer, Colin N A, Risch, Lorenz, Scott, Robert A, Scott, Rodney J, Sever, Peter, Spector, Tim D, van der Harst, Pim, Wareham, Nicholas J, Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B, Newton-Cheh, Christopher, Brown, Morris J, Metspalu, Andre, Hung, Adriana M, O'Donnell, Christopher J, Edwards, Todd L, Psaty, Bruce M, Tzoulaki, Ioanna, Barnes, Michael R, Wain, Louise V, Elliott, Paul, Caulfield, Mark J, Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), VU University medical center, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Institute for Molecular Medicine Finland, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, University of Helsinki, Clinicum, Samuli Olli Ripatti / Principal Investigator, Biostatistics Helsinki, Department of Public Health, Complex Disease Genetics, and Genomics of Neurological and Neuropsychiatric Disorders
Subjects: Male, 0301 basic medicine, Netherlands Twin Register (NTR), Population/methods, Genome Informatics, Blood Pressure, Genome-wide association study, GENOME-WIDE ASSOCIATION, CARDIOVASCULAR-DISEASE RISK, UK BIOBANK, HYPERTENSION, VARIANTS, METAANALYSIS, COMMON, HEALTH, RARE, HYPERALDOSTERONISM, Disease, Bioinformatics, Cardiovascular Diseases/epidemiology/genetics, Risk Factors, 80 and over, GWAS, Cells, Cultured, 11 Medical and Health Sciences, ddc:616, Genetics & Heredity, Aged, 80 and over, Cultured, medicine.diagnostic_test, CARDIOVASCULAR RISK, Genetic analysis, Million Veteran Program, Genetics, Population/methods, Single Nucleotide, Middle Aged, PREVALENCE, 3. Good health, Pulse pressure, VINTAGE, Cardiovascular Diseases, Blood pressure, Medical genetics, Female, Medical Genetics, Life Sciences & Biomedicine, Genetic Testing/methods, Adult, medicine.medical_specialty, Blood Pressure/genetics, Cells, Quantitative Trait Loci, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Human Umbilical Vein Endothelial Cells, Genetics, medicine, Humans, Medicine [Science], Genetic Predisposition to Disease, Genetic Testing, Polymorphism, HEALTHY, Life Style, Medicinsk genetik, Aged, Genetic testing, Genetic association, Science & Technology, Cardiovascular Diseases/epidemiology, 06 Biological Sciences, Genetic architecture, Genetics, Population, 030104 developmental biology, Genetic Loci, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, Hypertension/genetics, Genome-Wide Association Study, Developmental Biology
Abstract: High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore)
Published: 2018
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28. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Author: Rico Rueedi, Yuri Milaneschi, Brenda W.J.H. Penninx, Neil Poulter, Karen Schwander, Marco Brumat, Kenneth Rice, Yize Li, Veronique Vitart, Ioanna Ntalla, Michele K. Evans, Jeffrey R. O'Connell, Nilesh J. Samani, Colleen M. Sitlani, W. James Gauderman, Xuan Deng, Paul M. Ridker, Yun J. Sung, Yukihide Momozawa, Archie Campbell, Tin Louie, Nona Sotoodehnia, Yii-Der Ida Chen, Cornelia M. van Duijn, Tanika N. Kelly, Peter S. Sever, André G. Uitterlinden, Brigitte Kühnel, John M. Starr, Lawrence F. Bielak, Christopher P. Nelson, Wanqing Wen, Stephan B. Felix, Stefan Weiss, Daniel Levy, Nicholette D. Palmer, Alisa K. Manning, Salman M. Tajuddin, Jill M. Norris, Marie Loh, M. Abdullah Said, Alena Stančáková, Anuradhani Kasturiratne, John M. C. Connell, Jian'an Luan, Tuomas O. Kilpeläinen, Amy R. Bentley, Stephen Sidney, Alan B. Zonderman, Karin Leander, David J. Porteous, Jianjun Liu, Tin Aung, Charles B. Eaton, Sharon L.R. Kardia, Rajkumar Dorajoo, Stephen Turner, Michael Boehnke, Diane M. Becker, Cora E. Lewis, Ozren Polasek, Mickaël Canouil, Kurt Lohman, Georg Ehret, Sarah E. Harris, Robert A. Scott, Claude Bouchard, Lynne E. Wagenknecht, Mohsen Ghanbari, Stephen B. Kritchevsky, Jin-Fang Chai, Gregory L. Burke, Jiang He, Federica Laguzzi, Michael R. Brown, Walter Palmas, Lili Milani, Thomas T. Perls, Tibor V. Varga, José Eduardo Krieger, Erin B. Ware, Tamara B. Harris, Tomohiro Katsuya, Nicole Schupf, Mika Kähönen, Nana Matoba, Hugues Aschard, Ilaria Gandin, Jennifer A. Smith, Traci M. Bartz, James Scott, Tuomo Rankinen, Yuan Shi, Meian He, Timo A. Lakka, Helen R. Warren, Mike A. Nalls, Kent D. Taylor, Woon-Puay Koh, Ya Xing Wang, Muhammad Riaz, Sandosh Padmanabhan, Mary F. Feitosa, Jost B. Jonas, Paul Elliott, Christian Gieger, Terho Lehtimäki, Kaare Christensen, Maris Alver, Pirjo Komulainen, Pamela J. Schreiner, M. Arfan Ikram, David R. Weir, Charles Kooperberg, Oscar H. Franco, Yongmei Liu, Lisa de las Fuentes, Nancy L. Pedersen, Thomas W. Winkler, Bruna Gigante, Göran Hallmans, Ingrid B. Borecki, Shiow Lin, Ian J. Deary, Wei Zheng, Yajuan Wang, Bernardo L. Horta, Heather M. Stringham, Bruce M. Psaty, Paul W. Franks, Weihua Zhang, Nora Franceschini, Adolfo Correa, Nita G. Forouhi, Xiuqing Guo, Fumihiko Takeuchi, L. Adrienne Cupples, William R. Scott, Zoltán Kutalik, He Gao, Nicholas J. Wareham, E. Shyong Tai, Aravinda Chakravarti, C. Charles Gu, Paolo Gasparini, Albertine J. Oldehinkel, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Colin A. McKenzie, Qing Duan, Aldi T. Kraja, Carsten Oliver Schmidt, Bamidele O. Tayo, Xiaofeng Zhu, Thomas Meitinger, Mary K. Wojczynski, Markku Laakso, Mark J. Caulfield, Carl D. Langefeld, Jingzhong Ding, Yechiel Friedlander, Tien Yin Wong, Virginia Fisher, Raymond Noordam, Caizheng Yu, Pim van der Harst, Yik Ying Teo, Ervin R. Fox, Sabanayagam Charumathi, Jonathan Marten, Nicholas Y.Q. Tan, Jerome I. Rotter, Harold Snieder, Karen L. Mohlke, Christine Williams, Olli T. Raitakari, Renée de Mutsert, Lihua Wang, Kathryn Roll, Jingmin Liu, Dongfeng Gu, Wei Zhao, Lynda M. Rose, Michael A. Province, Fernando Pires Hartwig, Rob M. van Dam, Barry I. Freedman, Andres Metspalu, Donald W. Bowden, Andrea R. V. R. Horimoto, Martin Farrall, Frits R. Rosendaal, Rainer Rauramaa, Konstantin Strauch, Albert V. Smith, Yanick Hagemeijer, Michiaki Kubo, Ilja M. Nolte, Tõnu Esko, Yih Chung Tham, Cathy C. Laurie, Antonietta Robino, Anne U. Jackson, Chuan Gao, Dabeeru C. Rao, Xiao-Ou Shu, H. Janaka de Silva, Morris J. Brown, Alanna C. Morrison, Peter J. van der Most, Jian-Min Yuan, Melanie Waldenberger, Leslie J. Raffel, Ulrich John, Fang-Chi Hsu, Reedik Mägi, Solomon K. Musani, Chiea Chuen Khor, Mario Sims, Ruben N. Eppinga, Melissa A. Richard, Yoichiro Kamatani, Changwei Li, Qiuyin Cai, Daniel I. Chasman, Mathilde Boissel, Claudia Langenberg, Sami Heikkinen, Jasmin Divers, Saima Afaq, Wen Bin Wei, Jaspal S. Kooner, Terrence Forrester, Hua Tang, Charles N. Rotimi, Anuj Goel, Annette Peters, Tangchun Wu, Dennis O. Mook-Kanamori, Caroline Hayward, Ching-Yu Cheng, Lisa R. Yanek, Ananda R. Wickremasinghe, Chew-Kiat Heng, Myriam Fornage, Dina Vojinovic, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Jing Hua Zhao, Barbara V. Howard, Vilmundur Gudnason, Ulrich Broeckel, Eric Boerwinkle, Saskia P. Hagenaars, Dan E. Arking, Peter Vollenweider, Alexandre C. Pereira, Jie Yao, Makoto Hirata, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Marzyeh Amini, Benjamin Lehne, Epidemiology, Erasmus MC other, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), School of Health Sciences (UI), Heilbrigðisvísindasvið (HÍ), Háskóli Íslands (HÍ), University of Iceland (UI), Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), University of Regensburg, Queen Mary University of London (QMUL), Harbor UCLA Medical Center [Torrance, Ca.], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Northwestern Polytechnical University [Xi'an] (NPU), Centre for Molecular Epidemiology, National University of Singapore (NUS), Harvard School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), European Genomic Institute for Diabetes - FR 3508 (EGID), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), National Institutes of Health [Bethesda] (NIH), The following authors declare commercial private and/or governmental affiliations: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. Oscar H Franco (OHF) is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Fimlab LTD provided support in the form of salaries for author Terho Lehtimäki (TL) but did not have any additional role in the study design to publish, or preparation of the manuscript. Gen‐info Ltd provided support in the form of salaries for author Ozren Polašek (OP) but did not have any additional role in the study design to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. There are no patents, products in development, or marked products to declare. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript., AGES (Age Gene/Environment Susceptibility Reykjavik Study) is approved by the Icelandic National Bioethics Committee, VSN: 00–063. The researchers are indebted to the participants for their willingness to participate in the study. ARIC (Atherosclerosis Risk in Communities): The authors thank the staff and participants of the ARIC study for their important contributions. CARDIA (Coronary Artery Risk Development in Young Adults): This manuscript has been reviewed and approved by CARDIA for scientific content. CHS (Cardiovascular Health Study): A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. IGMM (Institute of Genetics and Molecular Medicine): CROATIA-Korcula: We would like to acknowledge the staff of several institutions in Croatia that supported the field work, including but not limited to The University of Split and Zagreb Medical Schools and the Croatian Institute for Public Health. We would like to acknowledge the invaluable contributions of the recruitment team in Korcula, the administrative teams in Croatia and Edinburgh and the participants. The SNP genotyping for the CROATIA-Korcula cohort was performed in Helmholtz Zentrum München, Neuherberg, Germany. CROATIA-Vis: We would like to acknowledge the staff of several institutions in Croatia that supported the field work, including but not limited to The University of Split and Zagreb Medical Schools, the Institute for Anthropological Research in Zagreb and Croatian Institute for Public Health. The SNP genotyping for the CROATIA-Vis cohort was performed in the core genotyping laboratory of the Wellcome Trust Clinical Research Facility at the Western General Hospital, Edinburgh, Scotland. GS:SFHS: Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6] and the Scottish Funding Council [HR03006]. Genotyping of the GS:SFHS samples was carried out by the Genetics Core Laboratory at the Wellcome Trust Clinical Research Facility, Edinburgh, Scotland. ERF (Erasmus Rucphen Family study): We are grateful to all study participants and their relatives, general practitioners and neurologists for their contributions and to P. Veraart for her help in genealogy, J. Vergeer for the supervision of the laboratory work, P. Snijders for his help in data collection and E.M. van Leeuwen for genetic imputation. GENOA (Genetic Epidemiology Network of Arteriopathy): Genotyping was performed at the Mayo Clinic (Stephen T. Turner, MD, Mariza de Andrade PhD, Julie Cunningham, PhD). We thank Eric Boerwinkle, PhD and Megan L. Grove from the Human Genetics Center and Institute of Molecular Medicine and Division of Epidemiology, University of Texas Health Science Center, Houston, Texas, USA for their help with genotyping. We would also like to thank the families that participated in the GENOA study. HANDLS (Healthy Aging in Neighborhoods of Diversity across the Life Span): Data analyses for the HANDLS study utilized the high-performance computational resources of the Biowulf Linux cluster at the National Institutes of Health, Bethesda, MD. http://hpc.nih.gov HUFS (Howard University Family Study): We thank the participants of the study. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official view of the National Institutes of Health. HyperGEN (Hypertension Genetic Epidemiology Network): The study involves: University of Utah: (Network Coordinating Center, Field Center, and Molecular Genetics Lab), Univ. of Alabama at Birmingham: (Field Center and Echo Coordinating and Analysis Center), Medical College of Wisconsin: (Echo Genotyping Lab), Boston University: (Field Center), University of Minnesota: (Field Center and Biochemistry Lab), University of North Carolina: (Field Center), Washington University: (Data Coordinating Center), Weil Cornell Medical College: (Echo Reading Center), National Heart, Lung, & Blood Institute. For a complete list of HyperGEN Investigators: http://www.biostat.wustl.edu/hypergen/Acknowledge.html JHS (Jackson Heart Study): The authors wish to thank the staffs and participants of the JHS. MESA (Multi-Ethnic Study of Atherosclerosis): MESA and the MESA SHARe project are conducted in collaboration with MESA investigators. Genotyping was performed at Affymetrix (Santa Clara, California, USA) and the Broad Institute of Harvard and MIT (Boston, Massachusetts, USA) using the Affymetrix Genome-Wide Human SNP Array 6.0. NEO (The Netherlands Epidemiology of Obesity study): The authors of the NEO study thank all individuals who participated in the Netherlands Epidemiology in Obesity study, all participating general practitioners for inviting eligible participants and all research nurses for collection of the data. We thank the NEO study group, Petra Noordijk, Pat van Beelen and Ingeborg de Jonge for the coordination, lab and data management of the NEO study. RS (Rotterdam Study) was funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The authors are grateful to the study participants, the staff from the Rotterdam Study and the participating general practitioners and pharmacists. The generation and management of GWAS genotype data for the Rotterdam Study was executed by the Human Genotyping Facility of the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. We thank Pascal Arp, Mila Jhamai, Marijn Verkerk, Lizbeth Herrera, Marjolein Peters and Carolina Medina-Gomez for their help in creating the GWAS database, and Karol Estrada, Yurii Aulchenko and Carolina Medina-Gomez for the creation and analysis of imputed data. WHI (Women’s Health Initiative): The authors thank the WHI investigators and staff for their dedication, and the study participants for making the program possible. A full listing of WHI investigators can be found at: http://www.whi.org/researchers/Documents%20%20Write%20a%20Paper/WHI%20Investigator%20Short%20List.pdf Replication: AA-DHS (African American Diabetes Heart Study): The investigators acknowledge the cooperation of our Diabetes Heart Study (DHS) and AA-DHS participants. ASCOT (Anglo-Scandinavian Cardiac Outcomes Trial): We thank all ASCOT trial participants, physicians, nurses, and practices in the participating countries for their important contribution to the study. In particular, we thank Clare Muckian and David Toomey for their help in DNA extraction, storage, and handling. We would also like to acknowledge the Barts and The London Genome Centre staff for genotyping the Exome chip array. P.B.M, M.J.C and H.R.W wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Centre at Barts and Queen Mary University of London, UK. BBJ (Biobank Japan Project): We thank all the participants, medical coordinators of the cooperating hospitals for collecting samples and clinical information in the project. BRIGHT (British Genetics of Hypertension): The BRIGHT study is extremely grateful to all the patients who participated in the study and the BRIGHT nursing team. P.B.M, M.J.C and H.R.W wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Centre at Barts and Queen Mary University of London, UK. CoLaus (Cohorte Lausannoise Study): The authors would like to thank all the people who participated in the recruitment of the participants, data collection and validation, particularly Nicole Bonvin, Yolande Barreau, Mathieu Firmann, François Bastardot, Julien Vaucher, Panagiotis Antiochos and Cédric Gubelmann. DESIR (Data from an Epidemiological Study on the Insulin Resistance): The DESIR Study Group is composed of Inserm-U1018 (Paris: B. Balkau, P. Ducimetière, E. Eschwège), Inserm-U367 (Paris: F. Alhenc-Gelas), CHU d’Angers (A. Girault), Bichat Hospital (Paris: F. Fumeron, M. Marre, R. Roussel), CHU de Rennes (F. Bonnet), CNRS UMR-8199 (Lille: A. Bonnefond, P. Froguel), Medical Examination Services (Alençon, Angers, Blois, Caen, Chartres, Chateauroux, Cholet, LeMans, Orléans and Tours), Research Institute for General Medicine (J. Cogneau), the general practitioners of the region and the Cross- Regional Institute for Health (C. Born, E. Caces, M. Cailleau, N. Copin, J.G. Moreau, F. Rakotozafy, J. Tichet, S. Vol). DHS (Diabetes Heart Study): The authors thank the investigators, staff, and participants of the DHS for their valuable contributions. EGCUT Estonian Genome Center—University of Tartu (Estonian Biobank): Data analyzes were carried out in part in the High Performance Computing Center of University of Tartu. EPIC (European Prospective Investigation into Cancer and Nutrition)-Norfolk: We thank all EPIC participants and staff for their contribution to the study. FENLAND (The Fenland Study): We are grateful to all the volunteers for their time and help, and to the General Practitioners and practice staff for assistance with recruitment. We thank the Fenland Study Investigators, Fenland Study Co-ordination team and the Epidemiology Field, Data and Laboratory teams. We further acknowledge support from the Medical research council (MC_UU_12015/1). GeneSTAR (Genetic Studies of Atherosclerosis Risk): We are very grateful to all of our participants for their long-term involvement. GLACIER (Gene x Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk): We thank the participants, health professionals and data managers involved in the Västerbottens Intervention Project. We are also grateful to the staff of the Northern Sweden Biobank for preparing materials and to K Enqvist and T Johansson (Västerbottens County Council, Umeå, Sweden) for DNA preparation. HCHS/SOL (Hispanic Community Health Study/Study of Latinos): We thank the participants and staff of the HCHS/SOL study for their contributions to this study. HRS (Health & Retirement Study): Our genotyping was conducted by the NIH Center for Inherited Disease Research (CIDR) at Johns Hopkins University. Genotyping quality control and final preparation of the data were performed by the Genetics Coordinating Center at the University of Washington. HyperGEN-AXIOM (Hypertension Genetic Epidemiology Network—Axiom Chip GWAS): We thank the study investigators, staff and participants for their value contributions. INGI (Italian Network Genetic Isolate): We thank all the inhabitants who participated to the projects. InterAct (The EPIC-InterAct Case-Cohort Study): We thank all EPIC participants and staff for their contribution to the study. IRAS (Insulin Resistance Atherosclerosis Study): The authors thank study investigators, staff, and participants for their valuable contributions. KORA (Cooperative Health Research in the Augsburg Region): We thank all KORA participants and staff for their contribution to the study. LBC1921 (Lothian Birth Cohort 1921): We thank the LBC1921 cohort participants and team members who contributed to these studies. Funding from the Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. LBC1936 (Lothian Birth Cohort 1936): We thank the LBC1936 cohort participants and team members who contributed to these studies. Funding from the Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. LifeLines (Lifelines Cohort Study): The authors wish to acknowledge the services of the Lifelines, the contributing research centers delivering data to Lifelines, and all the study participants. The authors wish to acknowledge the services of the Lifelines, the contributing research centers delivering data to Lifelines, and all the study participants. Also, Lifelines acknowledges the contributions from Behrooz Z Alizadeh (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), H Marike Boezen (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), Lude Franke (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands), Pim van der Harst (Department of Cardiology, University of Groningen, University Medical Center Groningen, The Netherlands), Gerjan Navis (Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, The Netherlands), Marianne Rots (Department of Medical Biology, University of Groningen, University Medical Center Groningen, The Netherlands), Harold Snieder (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), Morris Swertz (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands), Bruce HR Wolffenbuttel (Department of Endocrinology, University of Groningen, University Medical Center Groningen, The Netherlands), Cisca Wijmenga (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands). LLFS (Long Life Family Study): The LLFS would like to thank the participants and research staff who make the study possible. LOLIPOP (London Life Sciences Prospective Population Study): We acknowledge support of the MRC-PHE Centre for Environment and Health, and the NIHR Health Protection Research Unit on Health Impact of Environmental Hazards. The work was carried out in part at the NIHR/Wellcome Trust Imperial Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the Imperial College Healthcare NHS Trust, the NHS, the NIHR or the Department of Health. We thank the participants and research staff who made the study possible. PROCARDIS (Precocious Coronary Artery Disease): The PROCARDIS researchers thank the patients for their selfless participation in this project. RHS (Ragama Health Study): The RHS was supported by the Grant of National Center for Global Health and Medicine (NCGM), Japan. SWHS/SMHS (Shanghai Women's Health Study/ Shanghai Men's Health Study): We thank all the individuals who took part in these studies and all the researchers who have enabled this work to be carried out. TRAILS (TRacking Adolescents’ Individual Lives Survey): TRAILS is a collaborative project involving various departments of the University Medical Center and University of Groningen, the Erasmus University Medical Center Rotterdam, the University of Utrecht, the Radboud Medical Center Nijmegen, and the Parnassia Bavo group, all in the Netherlands. We are grateful to all adolescents who participated in this research and to everyone who worked on this project and made it possible. UKB (United Kingdom Biobank, www.ukbiobank.ac.uk): This research has been conducted using the UK Biobank Resource. The UK Biobank data were analyzed from the data set corresponding to UK Biobank access application no. 236, application title 'Genome-wide association study of blood pressure', with Paul Elliott as the PI/applicant. This work was supported by the UK-CMC and the BP working group., InterAct Consortium, Marten, Jonathan [0000-0001-6916-2014], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Lee Kong Chian School of Medicine (LKCMedicine), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Européen de Génomique du Diabète - European Genomic Institute for Diabetes - FR 3508 (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Feitosa, Mary F., Kraja, Aldi T., Chasman, Daniel I., Sung, Yun J., Winkler, Thomas W., Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Bentley, Amy R., Brown, Michael R., Schwander, Karen, Richard, Melissa A., Noordam, Raymond, Aschard, Hugue, Bartz, Traci M., Bielak, Lawrence F., Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P., Horimoto, Andrea R. V. R., Lohman, Kurt K., Manning, Alisa K., Rankinen, Tuomo, Smith, Albert V., Tajuddin, Salman M., Wojczynski, Mary K., Alver, Mari, Boissel, Mathilde, Cai, Qiuyin, Campbell, Archie, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E., He, Meian, Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Luan, Jian'An, Matoba, Nana, Nolte, Ilja M., Padmanabhan, Sandosh, Riaz, Muhammad, Rueedi, Rico, Robino, Antonietta, Said, M. Abdullah, Scott, Robert A., Sofer, Tamar, Stančáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O., Van Der Most, Peter J., Varga, Tibor V., Vitart, Veronique, Wang, Yajuan, Ware, Erin B., Warren, Helen R., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E., Aung, Tin, Boerwinkle, Eric, Borecki, Ingrid, Broeckel, Ulrich, Brown, Morri, Brumat, Marco, Burke, Gregory L., Canouil, Mickaël, Chakravarti, Aravinda, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Connell, John M., Correa, Adolfo, De Las Fuentes, Lisa, De Mutsert, Renée, De Silva, H. Janaka, Deng, Xuan, Ding, Jingzhong, Duan, Qing, Eaton, Charles B., Ehret, Georg, Eppinga, Ruben N., Evangelou, Evangelo, Faul, Jessica D., Felix, Stephan B., Forouhi, Nita G., Forrester, Terrence, Franco, Oscar H., Friedlander, Yechiel, Gandin, Ilaria, Gao, He, Ghanbari, Mohsen, Gigante, Bruna, Gu, C. Charle, Gu, Dongfeng, Hagenaars, Saskia P., Hallmans, Göran, Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Howard, Barbara V., Ikram, M. Arfan, John, Ulrich, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpeläinen, Tuomas O., Koh, Woon-Puay, Krieger, José E., Kritchevsky, Stephen B., Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A., Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lin, Shiow, Liu, Jianjun, Liu, Jingmin, Loh, Marie, Louie, Tin, Mägi, Reedik, Mckenzie, Colin A., Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L., Momozawa, Yukihide, Nalls, Mike A., Nelson, Christopher P., Sotoodehnia, Nona, Norris, Jill M., O'Connell, Jeff R., Palmer, Nicholette D., Perls, Thoma, Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Poulter, Neil, Raffel, Leslie J., Raitakari, Olli T., Roll, Kathryn, Rose, Lynda M., Rosendaal, Frits R., Rotter, Jerome I., Schmidt, Carsten O., Schreiner, Pamela J., Schupf, Nicole, Scott, William R., Sever, Peter S., Shi, Yuan, Sidney, Stephen, Sims, Mario, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Stringham, Heather M., Tan, Nicholas Y. Q., Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Turner, Stephen T., Uitterlinden, André G., Vollenweider, Peter, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Williams, Christine, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Deary, Ian J., Esko, Tõnu, Farrall, Martin, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Jonas, Jost Bruno, Kamatani, Yoichiro, Kato, Norihiro, Kooner, Jaspal S., Kutalik, Zoltán, Laakso, Markku, Laurie, Cathy C., Leander, Karin, Lehtimäki, Terho, Magnusson, Patrik K. E., Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Polasek, Ozren, Porteous, David J., Rauramaa, Rainer, Samani, Nilesh J., Scott, Jame, Shu, Xiao-Ou, Van Der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Bouchard, Claude, Christensen, Kaare, Evans, Michele K., Gudnason, Vilmundur, Horta, Bernardo L., Kardia, Sharon L. R., Liu, Yongmei, Pereira, Alexandre C., Psaty, Bruce M., Ridker, Paul M., Van Dam, Rob M., Gauderman, W. Jame, Zhu, Xiaofeng, Mook-Kanamori, Dennis O., Fornage, Myriam, Rotimi, Charles N., Cupples, L. Adrienne, Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Kooperberg, Charle, Palmas, Walter, Rice, Kenneth, Morrison, Alanna C., Elliott, Paul, Caulfield, Mark J., Munroe, Patricia B., Rao, Dabeeru C., Province, Michael A., Levy, Daniel, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Surgery, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, and Ehret, Georg Benedikt
Subjects: Genetics and Molecular Biology (all), Male, Erfðagreining, Áfengissýki, LOCI, Social Sciences, Blood Pressure, Genome-wide association study, Biochemistry, Vascular Medicine, TRANSCRIPTION FACTOR GATA4, Biochemistry, Genetics and Molecular Biology (all), Agricultural and Biological Sciences (all), DEPENDENCE, HEPATOCELLULAR-CARCINOMA, 80 and over, Psychology, Public and Occupational Health, Alcohol consumption, Cardiac and Cardiovascular Systems, Gene–environment interaction, ddc:616, Aged, 80 and over, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, Kardiologi, MESH: Polymorphism, Single Nucleotide, Áfengisneysla, MESH: Gene-Environment Interaction, COMMON VARIANTS, Genomics, MESH: Blood Pressure, Pedigree, 3. Good health, Näringslära, MESH: Young Adult, Physical Sciences, Medicine, Medical genetics, Erfðarannsóknir, Statistics (Mathematics), medicine.medical_specialty, Blood Pressure/genetics, Alcohol Drinking, MESH: Pedigree, Science, Genetic loci, ta3111, Genome Complexity, 03 medical and health sciences, Gene mapping, Genetics, Humans, Polymorphism, Statistical Methods, GENOME-WIDE ASSOCIATION, Molecular Biology Techniques, Molecular Biology, Alleles, Aged, MESH: Adolescent, MESH: Humans, Adolescent, Adult, Alcohol Drinking/epidemiology, Alcohol Drinking/genetics, Cohort Studies, Continental Population Groups/genetics, Continental Population Groups/statistics & numerical data, Female, Gene-Environment Interaction, Genetic Predisposition to Disease/epidemiology, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study, Hypertension/epidemiology, Hypertension/genetics, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Gene Mapping, Racial Groups, ta1182, Biology and Life Sciences, Computational Biology, MESH: Adult, Meta-analysis, 030104 developmental biology, Genetic Loci, MESH: Genome-Wide Association Study, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Female, Mathematics, MESH: Alcohol Drinking, Meta-Analysis, 0301 basic medicine, MESH: Continental Population Groups, MESH: Hypertension, Mathematical and Statistical Techniques, MESH: Aged, 80 and over, Polymorphism (computer science), Medicine and Health Sciences, FUNCTIONAL VARIATION, MESH: Cohort Studies, MESH: Aged, Alcohol Consumption, Multidisciplinary, Nutrition and Dietetics, MESH: Genetic Predisposition to Disease, Genetic Predisposition to Disease/epidemiology/genetics, Single Nucleotide, Blóðþrýstingur, ENVIRONMENT INTERACTION, PTP4A1-PHF3-EYS VARIANTS, Alcoholism, ANCESTRAIS, Háþrýstingur, Hypertension, Blood pressure, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Medical Genetics, Research Article, Substance-Related Disorders, Addiction, RISK, METAANALYSIS, Research and Analysis Methods, Mental Health and Psychiatry, medicine, Medicine [Science], Genetic Predisposition to Disease, Allele, Hypertension/epidemiology/genetics, Nutrition, Medicinsk genetik, Continental Population Groups/genetics/statistics & numerical data, business.industry, Alcohol Drinking/epidemiology/genetics, Genetic architecture, MESH: Male, Introns, Diet, BODY-MASS INDEX, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business
Abstract: Publisher's version (útgefin grein)., Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10−5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10−8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10−8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension., The following authors declare commercial private and/or governmental affiliations: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. Oscar H Franco (OHF) is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Fimlab LTD provided support in the form of salaries for author Terho Lehtimäki (TL) but did not have any additional role in the study design to publish, or preparation of the manuscript. Gen‐info Ltd provided support in the form of salaries for author Ozren Polašek (OP) but did not have any additional role in the study design to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. There are no patents, products in development, or marked products to declare. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Published: 2018
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29. Retinal Layer Abnormalities as Biomarkers of Schizophrenia

Author: Mohammed Al-Uzri, Christopher P. Nelson, Irene Gottlob, Claire V. Hutchinson, Niraj Nilesh Samani, Frank A Proudlock, Chathurie Suraweera, and Vasantha Siram
Subjects: Adult, Male, medicine.medical_specialty, genetic structures, media_common.quotation_subject, Retina, Visual processing, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Optical coherence tomography, Foveal, Ophthalmology, medicine, Contrast (vision), Humans, optical coherence tomography (OCT), Outer nuclear layer, media_common, contrast sensitivity, medicine.diagnostic_test, business.industry, biomarkers, Retinal, Middle Aged, retinal layers, medicine.disease, eye diseases, Ganglion, schizophrenia, Psychiatry and Mental health, medicine.anatomical_structure, chemistry, Schizophrenia, 030221 ophthalmology & optometry, Female, sense organs, business, 030217 neurology & neurosurgery, Tomography, Optical Coherence, Regular Articles
Abstract: Objective Schizophrenia is associated with several brain deficits, as well as visual processing deficits, but clinically useful biomarkers are elusive. We hypothesized that retinal layer changes, noninvasively visualized using spectral-domain optical coherence tomography (SD-OCT), may represent a possible “window” to these abnormalities. Methods A Leica EnvisuTM SD-OCT device was used to obtain high-resolution central foveal B-scans in both eyes of 35 patients with schizophrenia and 50 demographically matched controls. Manual retinal layer segmentation was performed to acquire individual and combined layer thickness measurements in 3 macular regions. Contrast sensitivity was measured at 3 spatial frequencies in a subgroup of each cohort. Differences were compared using adjusted linear models and significantly different layer measures in patients underwent Spearman Rank correlations with contrast sensitivity, quantified symptoms severity, disease duration, and antipsychotic medication dose. Results Total retinal and photoreceptor complex thickness was reduced in all regions in patients (P < .0001). Segmentation revealed consistent thinning of the outer nuclear layer (P < .001) and inner segment layer (P < .05), as well as a pattern of parafoveal ganglion cell changes. Low spatial frequency contrast sensitivity was reduced in patients (P = .002) and correlated with temporal parafoveal ganglion cell complex thinning (R = .48, P = .01). Negative symptom severity was inversely correlated with foveal photoreceptor complex thickness (R = −.54, P = .001) and outer nuclear layer thickness (R = −.47, P = .005). Conclusions Our novel findings demonstrate considerable retinal layer abnormalities in schizophrenia that are related to clinical features and visual function. With time, SD-OCT could provide easily-measurable biomarkers to facilitate clinical assessment and further our understanding of the disease.
Published: 2017

30. Adiposity as a cause of cardiovascular disease: a Mendelian randomization study

Author: Aarno Palotie, Tõnu Esko, Christopher P. Nelson, Christian Gieger, Vilmantas Giedraitis, Jarmo Virtamo, Inga Prokopenko, Alistair S. Hall, Jean Ferrières, John Whitfield, Marika Kaakinen, Cornelia M. van Duijn, Samuli Ripatti, M. Arfan Ikram, Harmen H.M. Draisma, Massimo Mangino, David P. Strachan, Martin D. Tobin, Paul S. de Vries, Albert Hofman, Renée F A G de Bruijn, Nancy L. Pedersen, Ann-Christine Syvänen, Alun Evans, Bruno H. Stricker, Beben Benyamin, Markus Perola, Antti-Pekka Sarin, Tove Fall, Lars Lind, Francesco Gianfagna, Abbas Dehghan, David-Alexandre Trégouët, Veikko Salomaa, Kati Kristiansson, Eco J. C. de Geus, Michael Kobl, Oscar H. Franco, Antti Jula, Mart Kals, Sara M. Willems, Ville Huikari, Marjo-Riitta Järvelin, Krista Fischer, Reedik Mägi, Philippe Amouyel, Maris Kuningas, Andres Metspalu, Aki S. Havulinna, Sara Hägg, André G. Uitterlinden, Paolo Brambilla, Alexander Ploner, Kari Kuulasmaa, Erik Ingelsson, Jaakko Kaprio, Marja-Liisa Nuotio, Mark I. McCarthy, Nilesh J. Samani, Tim D. Spector, Dominique Arveiler, Patrik K. E. Magnusson, Frank Kee, Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Epidemiology, Neurology, Internal Medicine, Hägg, S, Fall, T, Ploner, A, Mägi, R, Fischer, K, Draisma, H, Kals, M, de Vries, P, Dehghan, A, Willems, S, Sarin, A, Kristiansson, K, Nuotio, M, Havulinna, A, de Bruijn, R, Ikram, M, Kuningas, M, Stricker, B, Franco, O, Benyamin, B, Gieger, C, Hall, A, Huikari, V, Jula, A, Järvelin, M, Kaakinen, M, Kaprio, J, Kobl, M, Mangino, M, Nelson, C, Palotie, A, Samani, N, Spector, T, Strachan, D, Tobin, M, Whitfield, J, Uitterlinden, A, Salomaa, V, Syvänen, A, Kuulasmaa, K, Magnusson, P, Esko, T, Hofman, A, de Geus, E, Lind, L, Giedraitis, V, Perola, M, Evans, A, Ferrières, J, Virtamo, J, Kee, F, Tregouet, D, Arveiler, D, Amouyel, P, Gianfagna, F, Brambilla, P, Ripatti, S, van Duijn, C, Metspalu, A, Prokopenko, I, Mccarthy, M, Pedersen, N, Ingelsson, E, Hägg, Sara, Fall, Tove, Ploner, Alexander, Mägi, Reedik, Benyamin, Beben, Ingelsson, Erik, and European Network Genetic Genomic Epidemiology (ENGAGE) consortium
Subjects: Male, medicine.medical_specialty, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Cross-sectional study, Epidemiology, Mendelian Randomization Causal Analysis, body mass index, 030204 cardiovascular system & hematology, Polymorphism, Single Nucleotide, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, cardiovascular disease, Internal medicine, Mendelian randomization, medicine, Humans, 030212 general & internal medicine, Prospective Studies, Prospective cohort study, Adiposity, 2. Zero hunger, business.industry, Mendelian Randomization Analysis, Cardiovascular Disease, Mendelian Randomization, General Medicine, Middle Aged, medicine.disease, Cardiovascular disease, epidemiology, 3. Good health, Endocrinology, Blood pressure, Cross-Sectional Studies, Cardiovascular Diseases, Heart failure, Cardiology, Female, business, Body mass index
Abstract: BACKGROUND: Adiposity, as indicated by body mass index (BMI), has been associated with risk of cardiovascular diseases in epidemiological studies. We aimed to investigate if these associations are causal, using Mendelian randomization (MR) methods. METHODS: The associations of BMI with cardiovascular outcomes [coronary heart disease (CHD), heart failure and ischaemic stroke], and associations of a genetic score (32 BMI single nucleotide polymorphisms) with BMI and cardiovascular outcomes were examined in up to 22 193 individuals with 3062 incident cardiovascular events from nine prospective follow-up studies within the ENGAGE consortium. We used random-effects meta-analysis in an MR framework to provide causal estimates of the effect of adiposity on cardiovascular outcomes. RESULTS: There was a strong association between BMI and incident CHD (HR = 1.20 per SD-increase of BMI, 95% CI, 1.12-1.28, P = 1.9·10(-7)), heart failure (HR = 1.47, 95% CI, 1.35-1.60, P = 9·10(-19)) and ischaemic stroke (HR = 1.15, 95% CI, 1.06-1.24, P = 0.0008) in observational analyses. The genetic score was robustly associated with BMI (β = 0.030 SD-increase of BMI per additional allele, 95% CI, 0.028-0.033, P = 3·10(-107)). Analyses indicated a causal effect of adiposity on development of heart failure (HR = 1.93 per SD-increase of BMI, 95% CI, 1.12-3.30, P = 0.017) and ischaemic stroke (HR = 1.83, 95% CI, 1.05-3.20, P = 0.034). Additional cross-sectional analyses using both ENGAGE and CARDIoGRAMplusC4D data showed a causal effect of adiposity on CHD. CONCLUSIONS: Using MR methods, we provide support for the hypothesis that adiposity causes CHD, heart failure and, previously not demonstrated, ischaemic stroke.
Published: 2015
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31. Discovery of novel heart rate-associated loci using the Exome Chip

Author: Massimo Mangino, Alison D. Murray, Kathleen Stirrups, Antonella Mulas, Claudia P. Cabrera, Stephan B. Felix, Martin D. Tobin, Jerome I. Rotter, Jan A. Kors, Arno W. Hoes, Bruno H. Stricker, David J. Porteous, Cornelia M. van Duijn, Yi-Ping Fu, George Dedoussis, Ozren Polasek, Nathan A. Bihlmeyer, Ruben N. Eppinga, Marco Orru, Torben Hansen, Elsayed Z. Soliman, James G. Wilson, Martina Müller-Nurasyid, Stefan Weiss, Peter W. Macfarlane, Oluf Pedersen, Honghuang Lin, Joshua C. Bis, Mika Kähönen, Farid Radmanesh, Sandosh Padmanabhan, Xiuqing Guo, Henry J. Lin, Tamara B. Harris, Magdalena Zoledziewska, Nabi Shah, Ilonca Vaartjes, Niels Grarup, Mark J. Caulfield, Yalda Jamshidi, Bram P. Prins, J. Wouter Jukema, Nona Sotoodehnia, Andrew Tinker, Jørgen K. Kanters, Patrick T. Ellinor, Alvaro Alonso, Leanne M. Hall, Helen R. Warren, Man Li, Marcus Dörr, Hugoline G. de Haan, Charles Kooperberg, Moritz F. Sinner, Eleftheria Zeggini, Lihong Qi, Aaron Isaacs, Susan R. Heckbert, Carolina Roselli, Serena Sanna, Bruce M. Psaty, Niek Verweij, Dennis O. Mook-Kanamori, Shih-Jen Hwang, Stefan Kääb, Melanie Waldenberger, Rudolf A. de Boer, Caroline Hayward, Annette Peters, Uwe Völker, Giorgio Pistis, Jeffrey Haessler, Folkert W. Asselbergs, Alex S. F. Doney, Albert V. Smith, Yanick Hagemeijer, Lenore J. Launer, Steven A. Lubitz, Peter S. Sever, André G. Uitterlinden, Jonathan Rosand, Renée de Mutsert, Anna F. Dominiczak, Colin N. A. Palmer, Jennifer A. Brody, Naveed Sattar, Ivana Kolcic, Paul L. Huang, Stella Trompet, Aiman Entwistle, Terho Lehtimäki, Peter van der Meer, Nilesh J. Samani, Alice Stanton, Ruifang Li-Gao, Patricia B. Munroe, Pim van der Harst, Kent D. Taylor, Andrew D. Morris, Igor Rudan, Christopher P. Nelson, Simin Liu, Neil R Poulter, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Marten E. van den Berg, Allan Linneberg, Zhijun Xie, Claudia Tamar Silva, Jessica van Setten, Jonathan Marten, Jie Yao, Olli T. Raitakari, Christopher J. O'Donnell, Vilmundur Gudnason, Borbala Mifsud, Mark Eijgelsheim, Panos Deloukas, Hao Mei, Tim D. Spector, Dan E. Arking, Cardiovascular Centre (CVC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Medical Informatics, Epidemiology, Internal Medicine, Biochemie, RS: FHML MaCSBio, RS: CARIM - R1.01 - Blood proteins & engineering, and Zorgwetenschappen
Subjects: 0301 basic medicine, Male, Candidate gene, PROTEIN, Genome-wide association study, VARIANTS, DISEASE, Gene Frequency, Heart Rate, Risk Factors, Exome, Genetics(clinical), Genetics (clinical), Oligonucleotide Array Sequence Analysis, ALL-CAUSE MORTALITY, Genetics, Genetics & Heredity, Association Studies Articles, General Medicine, Single Nucleotide, 11 Medical And Health Sciences, Middle Aged, 3. Good health, Female, Life Sciences & Biomedicine, PROJECT, Adult, Biochemistry & Molecular Biology, Genotype, European Continental Ancestry Group, Locus (genetics), Biology, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, RISK-FACTOR, Heart rate, Journal Article, Humans, Genetic Predisposition to Disease, Allele, Polymorphism, GENOME-WIDE ASSOCIATION, Allele frequency, Molecular Biology, Alleles, Science & Technology, IDENTIFICATION, ta1184, COMPLEX TRAITS, ta1182, heart rate, exome, meta-analysis, ta3121, 06 Biological Sciences, GENE, Genetic architecture, 030104 developmental biology, Genetic Loci, Genome-Wide Association Study
Abstract: Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. Genome-wide association study analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9% of the variation. This study aims to discover new genetic loci associated with heart rate from Exome Chip meta-analyses.\ud \ud Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104 452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134 251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.\ud \ud We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2 and SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long-range regulatory chromatin interactions in heart tissue (SCD, SLF2 and MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.\ud \ud Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.
Published: 2017
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32. Relations between lipoprotein(a) concentrations, LPA genetic variants, and the risk of mortality in patients with established coronary heart disease: a molecular and genetic association study

Author: Robert N. Doughty, Marcus E. Kleber, Ulrich Laufs, Aroon D. Hingorani, Vinicius Tragante, Joachim Thiery, Eva Ringdal Pedersen, Sarah Triem, Andreas Leiherer, Alexandra Filips, Kenan Direk, Alexandre F.R. Stewart, Petra A. Lenzini, W.H. Wilson Tang, Thimoteus Speer, Roelof A.J. Smit, Hooman Allayee, Eric Boerwinkle, Ioannis Petrakis, George Thanassoulis, Christoph Sinning, Domenico Girelli, Heinrich V. Groesdonk, Yan Gong, Lutz P. Breitling, A. Mark Richards, Vicky A. Cameron, Benjamin D. Horne, Ruth McPherson, Gard Frodahl Tveitevåg Svingen, Dietrich Rothenbacher, Christopher Labos, Jaana Hartiala, Louise Pilote, Imo E. Hoefer, Christie M. Ballantyne, Ute Mons, Wolfgang Koenig, Bernhard K. Krämer, Stephen Zewinger, Vei-Vei Lee, Danilo Fliser, Ragnar O. Vilmundarson, Stefan Blankenberg, Julie A. Johnson, Riyaz S. Patel, Mira Klug, Christian Werner, Efthymia Vlachopoulou, H Brenner, Daniel Kofink, Michael V. Holmes, James C. Engert, Christopher P. Nelson, Agneta Siegbahn, Axel Mündlein, J. Wouter Jukema, Marek Sanak, Marcin P. Kaczor, Peter S. Braund, Markus Scholz, Niclas Eriksson, Markku S. Nieminen, Christoph Waldeyer, Salim S. Virani, Winfried März, Raymond O McCubrey, Stanley L. Hazen, Heinz Drexel, Yi-An Ko, Nicola Martinelli, Renate B. Schnabel, Hubert Scharnagl, Oliviero Olivieri, Wojciech Szczeklik, Grethe S. Tell, Nilesh J. Samani, Gustav Smith, James M. Brophy, Ottar Nygård, Naveed Sattar, Juha Sinisalo, Richard T. Jennings, Tatjana Stojakovic, Stella Trompet, Emil Hagström, Axel Åkerblom, John A. Spertus, Claes Held, Gerard Pasterkamp, Frank Beutner, Folkert W. Asselbergs, Anna P. Pilbrow, Rhonda M. Cooper-DeHoff, Arshed A. Quyyumi, Christoph H. Saely, Lars Wallentin, Sharon Cresci, Igor Karp, Amand F. Schmidt, Peter Bogaty, Reijo Laaksonen, Graciela E. Delgado, Karl J. Lackner, Transplantation Laboratory, Medicum, University of Helsinki, Department of Medicine, Clinicum, University Management, and Doctoral Programme in Clinical Research
Subjects: Male, Endocrinology, Diabetes and Metabolism, Coronary Disease, Disease, 030204 cardiovascular system & hematology, Cardiovascular System, Cohort Studies, 0302 clinical medicine, Endocrinology, Risk Factors, Risk of mortality, Medicine, 030212 general & internal medicine, Myocardial infarction, lipoprotein(a) concentrations, LPA genetic variants, mortality, coronary heart disease, education.field_of_study, Framingham Risk Score, biology, Lipoprotein(a), Middle Aged, Prognosis, 3. Good health, Europe, Survival Rate, Diabetes and Metabolism, Cardiovascular Diseases, Female, Cohort study, medicine.medical_specialty, Population, education, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Internal medicine, Internal Medicine, Journal Article, Humans, Genetic Association Studies, business.industry, medicine.disease, Blood pressure, 3121 General medicine, internal medicine and other clinical medicine, biology.protein, 3111 Biomedicine, business, Biomarkers
Abstract: Background: \ud \ud Lipoprotein(a) concentrations in plasma are associated with cardiovascular risk in the general population. Whether lipoprotein(a) concentrations or LPA genetic variants predict long-term mortality in patients with established coronary heart disease remains less clear.\ud \ud Methods: \ud \ud We obtained data from 3313 patients with established coronary heart disease in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. We tested associations of tertiles of lipoprotein(a) concentration in plasma and two LPA single-nucleotide polymorphisms ([SNPs] rs10455872 and rs3798220) with all-cause mortality and cardiovascular mortality by Cox regression analysis and with severity of disease by generalised linear modelling, with and without adjustment for age, sex, diabetes diagnosis, systolic blood pressure, BMI, smoking status, estimated glomerular filtration rate, LDL-cholesterol concentration, and use of lipid-lowering therapy. Results for plasma lipoprotein(a) concentrations were validated in five independent studies involving 10 195 patients with established coronary heart disease. Results for genetic associations were replicated through large-scale collaborative analysis in the GENIUS-CHD consortium, comprising 106 353 patients with established coronary heart disease and 19 332 deaths in 22 studies or cohorts.\ud \ud Findings: \ud \ud The median follow-up was 9·9 years. Increased severity of coronary heart disease was associated with lipoprotein(a) concentrations in plasma in the highest tertile (adjusted hazard radio [HR] 1·44, 95% CI 1·14–1·83) and the presence of either LPA SNP (1·88, 1·40–2·53). No associations were found in LURIC with all-cause mortality (highest tertile of lipoprotein(a) concentration in plasma 0·95, 0·81–1·11 and either LPA SNP 1·10, 0·92–1·31) or cardiovascular mortality (0·99, 0·81–1·2 and 1·13, 0·90–1·40, respectively) or in the validation studies.\ud \ud Interpretation: \ud \ud In patients with prevalent coronary heart disease, lipoprotein(a) concentrations and genetic variants showed no associations with mortality. We conclude that these variables are not useful risk factors to measure to predict progression to death after coronary heart disease is established.\ud \ud Funding: \ud \ud Seventh Framework Programme for Research and Technical Development (AtheroRemo and RiskyCAD), INTERREG IV Oberrhein Programme, Deutsche Nierenstiftung, Else-Kroener Fresenius Foundation, Deutsche Stiftung für Herzforschung, Deutsche Forschungsgemeinschaft, Saarland University, German Federal Ministry of Education and Research, Willy Robert Pitzer Foundation, and Waldburg-Zeil Clinics Isny.
Published: 2017

33. Gene-centric meta-analyses for central adiposity traits in up to 57 412 individuals of European descent confirm known loci and reveal several novel associations

Author: Sandosh Padmanabhan, Susan Kirkland, Patricia B. Munroe, Salim Yusuf, Brian E. Cade, Marten H. Hofker, Jose M. Ordovas, Jeffrey R. O'Connell, Liz Speilotes, Fridtjof Thomas, Caroline S. Fox, Brendan J. Keating, Gerald S. Berenson, Toby Johnson, Alan R. Shuldiner, Leslie A. Lange, Jeanne M. McCaffery, Thomas Illig, Christopher P. Nelson, Muredach P. Reilly, Wolfgang König, Keri L. Monda, Yan Gong, Olle Melander, Caitrin W. McDonough, Annette Peters, Sachiko Yoneyama, Nancy L. Heard-Costa, Cisca Wijmenga, Alexander P. Reiner, Mathias Gorski, Anna F. Dominiczak, Jens Baumert, Florianne Bauer, Karina W. Davidson, Erin N. Smith, Jonathan A. Shaffer, Konrad J. Karczewski, Clara C. Elbers, Kari E. North, Nicholas J. Schork, Sarah S. Murray, Christian Gieger, Iris M. Heid, Tom R. Gaunt, Julie A. Johnson, N. Charlotte Onland-Moret, Yvonne T. van der Schouw, Nilesh J. Samani, Ellen W. Demerath, Rhonda M. Cooper-DeHoff, Gordon S. Huggins, George J. Papanicolaou, Hakon Hakonarson, Sonia S. Anand, Daichi Shimbo, Kira C. Taylor, Jolanda M. A. Boer, Susan Redline, Martin D. Tobin, Yiran Guo, Robert A. Hegele, Michael J. LaMonte, Haiqinq Shen, Barbara Thorand, Amber L. Beitelshees, Inga Peter, Braxton D. Mitchell, Wei Chen, Matthew B. Lanktree, Michael R. Barnes, W. M. Monique Verschuren, Gregory L. Burke, Taimour Y. Langaee, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Vascular Ageing Programme (VAP)
Subjects: Adult, Male, DRUGGABLE GENOME, Candidate gene, Single-nucleotide polymorphism, Genome-wide association study, BLOOD-PRESSURE, Biology, Population stratification, White People, Body Mass Index, Young Adult, Waist–hip ratio, Genetics, Humans, GENOME-WIDE ASSOCIATION, Molecular Biology, IDENTIFIES 13, Genetics (clinical), Adiposity, Aged, METABOLIC SYNDROME, Aged, 80 and over, INSULIN-RESISTANCE, Association Studies Articles, CARDIOVASCULAR-DISEASE RISK, General Medicine, Middle Aged, BODY-MASS INDEX, ABDOMINAL OBESITY, Expression quantitative trait loci, Population study, Female, Waist Circumference, WAIST-HIP RATIO, Body mass index, Genome-Wide Association Study
Abstract: Waist circumference (WC) and waist-to-hip ratio (WHR) are surrogate measures of central adiposity that are associated with adverse cardiovascular events, type 2 diabetes and cancer independent of body mass index (BMI). WC and WHR are highly heritable with multiple susceptibility loci identified to date. We assessed the association between SNPs and BMI-adjusted WC and WHR and unadjusted WC in up to 57 412 individuals of European descent from 22 cohorts collaborating with the NHLBI's Candidate Gene Association Resource (CARe) project. The study population consisted of women and men aged 20-80 years. Study participants were genotyped using the ITMAT/Broad/CARE array, which includes ∼50 000 cosmopolitan tagged SNPs across ∼2100 cardiovascular-related genes. Each trait was modeled as a function of age, study site and principal components to control for population stratification, and we conducted a fixed-effects meta-analysis. No new loci for WC were observed. For WHR analyses, three novel loci were significantly associated (P < 2.4 × 10(-6)). Previously unreported rs2811337-G near TMCC1 was associated with increased WHR (β ± SE, 0.048 ± 0.008, P = 7.7 × 10(-9)) as was rs7302703-G in HOXC10 (β = 0.044 ± 0.008, P = 2.9 × 10(-7)) and rs936108-C in PEMT (β = 0.035 ± 0.007, P = 1.9 × 10(-6)). Sex-stratified analyses revealed two additional novel signals among females only, rs12076073-A in SHC1 (β = 0.10 ± 0.02, P = 1.9 × 10(-6)) and rs1037575-A in ATBDB4 (β = 0.046 ± 0.01, P = 2.2 × 10(-6)), supporting an already established sexual dimorphism of central adiposity-related genetic variants. Functional analysis using ENCODE and eQTL databases revealed that several of these loci are in regulatory regions or regions with differential expression in adipose tissue.
Published: 2014
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34. Telomere Length in Circulating Leukocytes is Associated with Lung Function and Disease

Author: Alexessander Couto Alves, Kirsi H. Pietiläinen, Cornelia M. van Duijn, Pamela A. F. Madden, Massimo Mangino, Iiris Hovatta, Stefan Karrasch, Alexandra I. F. Blakemore, Anjali K. Henders, Marjo-Riitta Järvelin, Ben A. Oostra, Seppo Sarna, Annette Peters, Eco J. C. de Geus, H.-Erich Wichmann, Ana Viñuela, Nilesh J. Samani, Christopher P. Nelson, Linda Broer, Elina Sillanpää, Ida Surakka, Christian Gieger, Konstantin Strauch, Jessica L. Buxton, Markku Peltonen, Taina Rantanen, Sarianna Sipilä, Holger Schulz, Eva Albrecht, Nicholas G. Martin, Veryan Codd, Patrik K. E. Magnusson, Jaakko Kaprio, Melanie Waldenberger, Nancy L. Pedersen, Najaf Amin, Gonneke Willemsen, Dale R. Nyholt, Rudolf A. Jörres, Joachim Heinrich, Dorret I. Boomsma, Juergen Behr, Manuel A. R. Ferreira, Hell M. Backmand, Päivi Piirilä, Tim D. Spector, Aila Rissanen, Tellervo Korhonen, Rudolf M. Huber, Sara Hägg, Epidemiology, Clinical Genetics, Public Health, Biological Psychology, and EMGO+ - Lifestyle, Overweight and Diabetes
Subjects: Lung Diseases, Male, Pulmonary and Respiratory Medicine, Spirometry, Netherlands Twin Register (NTR), Vital capacity, Vital Capacity, ennenaikainen vanheneminen, Disease, Cohort Studies, Pathogenesis, Pulmonary Disease, Chronic Obstructive, Telomere Homeostasis, SDG 3 - Good Health and Well-being, Forced Expiratory Volume, astma, Leukocytes, Humans, COPD, Medicine, keuhkoahtaumatauti, Aged, Asthma, telomeeri, medicine.diagnostic_test, premature aging, business.industry, Smoking, Case-control study, ta3141, Middle Aged, Telomere, spirometria, medicine.disease, biologinen ikä, biological age, 3. Good health, respiratory tract diseases, Europe, Case-Control Studies, Immunology, Regression Analysis, Female, business
Abstract: Several clinical studies suggest the involvement of premature ageing processes in chronic obstructive pulmonary disease (COPD). Using an epidemiological approach, we studied whether accelerated ageing indicated by telomere length, a marker of biological age, is associated with COPD and asthma, and whether intrinsic age-related processes contribute to the interindividual variability of lung function. Our meta-analysis of 14 studies included 934 COPD cases with 15 846 controls defined according to the Global Lungs Initiative (GLI) criteria (or 1189 COPD cases according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria), 2834 asthma cases with 28 195 controls, and spirometric parameters (forced expiratory volume in is (FEV1), forced vital capacity (PVC) and FEV1/FVC) of 12 595 individuals. Associations with telomere length were tested by linear regression, adjusting for age, sex and smoking status. We observed negative associations between telomere length and asthma (beta= -0.0452, p= 0.024) as well as COPD (beta= -0.0982, p=0.001), with associations being stronger and more significant when using GLI criteria than those of GOLD. In both diseases, effects were stronger in females than males. The investigation of spirometric indices showed positive associations between telomere length and FEV1 (p=1.07 x 10(-7)), FVC (p=2.07 x 10(-5)), and FEV1/FVC (p =5.27 x 10(-3)). The effect was somewhat weaker in apparently healthy subjects than in COPD or asthma patients. Our results provide indirect evidence for the hypothesis that cellular senescence may contribute to the pathogenesis of COPD and asthma, and that lung function may reflect biological ageing primarily due to intrinsic processes, which are likely to be aggravated in lung diseases.
Published: 2014
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35. Meta-analysis of telomere length in 19,713 subjects reveals high heritability, stronger maternal inheritance and a paternal age effect

Author: Aaron Isaacs, Cornelia M. van Duijn, Claire J. Steves, Jacqueline M. Vink, Christopher P. Nelson, Marian Beekman, Linda Broer, Anton J. M. de Craen, Joris Deelen, Gonneke Willemsen, Tim D. Spector, Nicholas G. Martin, Nilesh J. Samani, P. Eline Slagboom, Veryan Codd, Anjali K. Henders, Massimo Mangino, Mary K. Matthews, Dorret I. Boomsma, Alireza Moayyeri, Margie Wright, Najaf Amin, Dale R. Nyholt, Eco J. C. de Geus, Grant W. Montgomery, Ben A. Oostra, Eva Albrecht, Epidemiology, Clinical Genetics, Hematology, Biological Psychology, and EMGO+ - Mental Health
Subjects: Netherlands Twin Register (NTR), Male, Non-Mendelian inheritance, medicine.risk_factor, Inheritance Patterns, heritability, 0302 clinical medicine, telomere length, 80 and over, Telomere Length, Heritability, Paternal Age Effect, Telomere Shortening, Genetics (clinical), Genetics, Aged, 80 and over, 0303 health sciences, education.field_of_study, Age Factors, Telomere, Middle Aged, Pedigree, Telomere Shortening/genetics, Female, Twins/genetics, Adult, Adolescent, Offspring, Population, Biology, Article, Paternal Age, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, Humans, Paternal age effect, education, 030304 developmental biology, Aged, Telomere/genetics, Case-control study, paternal age effect, Twin study, Case-Control Studies, 030217 neurology & neurosurgery, Demography
Abstract: Telomere length (TL) has been associated with aging and mortality, but individual differences are also influenced by genetic factors, with previous studies reporting heritability estimates ranging from 34 to 82%. Here we investigate the heritability, mode of inheritance and the influence of parental age at birth on TL in six large, independent cohort studies with a total of 19 713 participants. The meta-analysis estimate of TL heritability was 0.70 (95% CI 0.64-0.76) and is based on a pattern of results that is highly similar for twins and other family members. We observed a stronger mother-offspring (r=0.42; P-value=3.60 × 10(-61)) than father-offspring correlation (r=0.33; P-value=7.01 × 10(-5)), and a significant positive association with paternal age at offspring birth (β=0.005; P-value=7.01 × 10(-5)). Interestingly, a significant and quite substantial correlation in TL between spouses (r=0.25; P-value=2.82 × 10(-30)) was seen, which appeared stronger in older spouse pairs (mean age ≥55 years; r=0.31; P-value=4.27 × 10(-23)) than in younger pairs (mean age
Published: 2013
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36. Male-Specific Region of the Y Chromosome and Cardiovascular Risk

Author: Lisa D.S. Bloomer, Christopher P. Nelson, James Eales, Matthew Denniff, Paraskevi Christofidou, Radoslaw Debiec, Jasbir Moore, Cardiogenics Consortium, Ewa Zukowska-Szczechowska, Alison H. Goodall, John Thompson, Nilesh J. Samani, Fadi J. Charchar, and Maciej Tomaszewski
Subjects: Adult, Male, Adolescent, Pseudogene, Single-nucleotide polymorphism, Protein Serine-Threonine Kinases, Y chromosome, Polymorphism, Single Nucleotide, Risk Assessment, White People, Haplogroup, Minor Histocompatibility Antigens, Young Adult, Sex Factors, Risk Factors, Polymorphism (computer science), Odds Ratio, Humans, Arterial Pressure, Genetic Predisposition to Disease, Gene, Phylogeny, Genetics, Chromosomes, Human, Y, biology, Gene Expression Profiling, Macrophages, Haplotype, C-reactive protein, Nuclear Proteins, Europe, Phenotype, Gene Expression Regulation, Haplotypes, Cardiovascular Diseases, Linear Models, biology.protein, Cardiology and Cardiovascular Medicine, Biomarkers, Pseudogenes
Abstract: Objective— Haplogroup I of male-specific region of the human Y chromosome is associated with 50% increased risk of coronary artery disease. It is not clear to what extent conventional cardiovascular risk factors and genes of the male-specific region may explain this association. Approach and Results— A total of 1988 biologically unrelated men from 4 white European populations were genotyped using 11 Y chromosome single nucleotide polymorphisms and classified into 13 most common European haplogroups. Approximately 75% to 93% of the haplotypic variation of the Y chromosome in all cohorts was attributable to I, R1a, and R1b1b2 lineages. None of traditional cardiovascular risk factors, including body mass index, blood pressures, lipids, glucose, C-reactive protein, creatinine, and insulin resistance, was associated with haplogroup I of the Y chromosome in the joint inverse variance meta-analysis. Fourteen of 15 ubiquitous single-copy genes of the male-specific region were expressed in human macrophages. When compared with men with other haplogroups, carriers of haplogroup I had ≈0.61- and 0.64-fold lower expression of ubiquitously transcribed tetratricopeptide repeat, Y-linked gene ( UTY ) and protein kinase, Y-linked, pseudogene ( PRKY ) in macrophages ( P =0.0001 and P =0.002, respectively). Conclusions— Coronary artery disease predisposing haplogroup I of the Y chromosome is associated with downregulation of UTY and PRKY genes in macrophages but not with conventional cardiovascular risk factors.
Published: 2013
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37. KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Author: John C. Chambers, J. Wouter Jukema, Rajesh Rawal, Alanna C. Morrison, Paul M. Ridker, Pamela A. F. Madden, Jaakko Kaprio, Gunter Schumann, John M. Starr, Claudia Langenberg, Caterina Barbieri, Cristina Venturini, Leo-Pekka Lyytikäinen, Kenneth J. Mukamal, Dragana Vuckovic, Vilmundur Gudnason, David J. Stott, Evangelos Evangelou, Philippe Froguel, Jaana Laitinen, Christian P. Müller, Paul F. O'Reilly, Christopher P. Nelson, Katharina E. Schraut, Sylvane Desrivières, Lynda M. Rose, Massimo Mangino, Pedro Marques-Vidal, Toniolo Daniela, Hans J. Grabe, Parkyong Song, Anu Loukola, Jenni Hällfors, Nicola Pirastu, Jian'an Luan, Toni-Kim Clarke, Albert V. Smith, Cornelia M. van Duijn, Tianye Jia, Cinzia Sala, Oscar H. Franco, Yongmei Liu, Peter K. Joshi, Robert A. Scott, Helena Schmidt, Marjo-Riitta Järvelin, Sarah R. Preis, Peter Vollenweider, Krista Fischer, Jerome I. Rotter, Alexander Teumer, Ulf Gyllensten, Ani Manichaikul, Brenda W.J.H. Penninx, Stefan Enroth, Alireza Moayyeri, John Whitfield, Anne-Claire Vergnaud, Georgy Bakalkin, Steven A. Kliewer, Niek Verweij, Jaspal S. Kooner, Daniel I. Chasman, Bruce H W Wolffenbuttel, Rozenn N. Lemaitre, Tim D. Spector, Jing Hua Zhao, Weihua Zhang, Zoltán Kutalik, Kenneth Rice, Veronique Vitart, Bing Xu, Anna-Liisa Hartikainen, Niina E. Kaartinen, David J. Mangelsdorf, Jouke-Jan Hottenga, Bing Yu, Loic Yengo, Stella Trompet, Ioanna Tzoulaki, He Gao, Edith Hofer, Nicholas J. Wareham, Takashi Satoh, Nilesh J. Samani, Albert Hofman, Najaf Amin, Hamdi Mbarek, Christian Gieger, Nicholas G. Martin, Yun Liu, Jennifer A. Nettleton, Bruce M. Psaty, Sarah E. Harris, Richard J. Rose, Johan G. Eriksson, Dorret I. Boomsma, Eco J. C. de Geus, André G. Uitterlinden, Andrew C. Heath, Olli T. Raitakari, Chunyu Liu, Terho Lehtimäki, Ian J. Deary, Paul Elliott, Pim van der Harst, Shizuo Akira, Åsa Johansson, Tõnu Esko, Marcelo P. Segura Lepe, Antonietta Robino, Sebastian E. Baumeister, Jari Lahti, James G. Wilson, Saskia Hieber, Barbara Ruggeri, Juho Wedenoja, Eemil Partinen, Reinhold Schmidt, Stéphane Cauchi, Yuri Milaneschi, Tamara B. Harris, Cornelia Huth, Lynne J. Hocking, Daniel Levy, Volker Eulenburg, David P. Strachan, National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), Gastroenterology & Hepatology, Epidemiology, Internal Medicine, Cardiovascular Centre (CVC), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Psychiatry, EMGO - Mental health, Amsterdam Neuroscience - Complex Trait Genetics, Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, and Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep
Subjects: Male, 0301 basic medicine, Gerontology, Netherlands Twin Register (NTR), LIVER, FGF21, Emotions, Alcohol, Genome-wide association study, Disease, DISEASE, SWEET, ACTIVATION, chemistry.chemical_compound, 0302 clinical medicine, β-Klotho, DEPENDENCE, Mice, Knockout, Multidisciplinary, Behavior, Animal, Brain, Biological Sciences, 3. Good health, HEART, Female, medicine.medical_specialty, Mice, 129 Strain, Alcohol Drinking, alcohol consumption, mouse model, Polymorphism, Single Nucleotide, Gene product, 03 medical and health sciences, Internal medicine, MD Multidisciplinary, medicine, Animals, Humans, Endocrine system, ddc:610, human, GENOME-WIDE ASSOCIATION, Klotho Proteins, business.industry, ta1184, Membrane Proteins, CONSUMPTION, Beta-Klotho, beta-Klotho, ta3121, Fibroblast Growth Factors, Mice, Inbred C57BL, MICE, 030104 developmental biology, Endocrinology, chemistry, business, 030217 neurology & neurosurgery, Genome-Wide Association Study, Hormone
Abstract: Excessive alcohol consumption is a major public health problem worldwide. Although drinking habits are known to be inherited, few genes have been identified that are robustly linked to alcohol drinking. We conducted a genome-wide association metaanalysis and replication study among >105,000 individuals of European ancestry and identified beta-Klotho (KLB) as a locus associated with alcohol consumption (rs11940694; P = 9.2 x 10(-12)). beta-Klotho is an obligate coreceptor for the hormone FGF21, which is secreted from the liver and implicated in macronutrient preference in humans. We show that brain-specific beta-Klotho KO mice have an increased alcohol preference and that FGF21 inhibits alcohol drinking by acting on the brain. These data suggest that a liver-brain endocrine axis may play an important role in the regulation of alcohol drinking behavior and provide a unique pharmacologic target for reducing alcohol consumption.
Published: 2016
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38. Galactosylation of IgA1 Is Associated with Common Variation in

Author: Daniel P, Gale, Karen, Molyneux, David, Wimbury, Patricia, Higgins, Adam P, Levine, Ben, Caplin, Anna, Ferlin, Peiran, Yin, Christopher P, Nelson, Horia, Stanescu, Nilesh J, Samani, Robert, Kleta, Xueqing, Yu, and Jonathan, Barratt
Subjects: Male, Glycosylation, Galactose, Genetic Variation, chemical and pharmacologic phenomena, Glomerulonephritis, IGA, urologic and male genital diseases, Galactosyltransferases, Immunoglobulin A, fluids and secretions, Basic Research, stomatognathic system, Humans, Female, Genome-Wide Association Study
Abstract: IgA nephropathy (IgAN), an important cause of kidney failure, is characterized by glomerular IgA deposition and is associated with changes in O-glycosylation of the IgA1 molecule. Here, we sought to identify genetic factors contributing to levels of galactose-deficient IgA1 (Gd-IgA1) in white and Chinese populations. Gd-IgA1 levels were elevated in IgAN patients compared with ethnically matched healthy subjects and correlated with evidence of disease progression. White patients with IgAN exhibited significantly higher Gd-IgA1 levels than did Chinese patients. Among individuals without IgAN, Gd-IgA1 levels did not correlate with kidney function. Gd-IgA1 level heritability (h2), estimated by comparing midparental and offspring Gd-IgA1 levels, was 0.39. Genome-wide association analysis by linear regression identified alleles at a single locus spanning the C1GALT1 gene that strongly associated with Gd-IgA1 level (β=0.26; P=2.35×10−9). This association was replicated in a genome-wide association study of separate cohorts comprising 308 patients with membranous GN from the UK (P
Published: 2016

39. Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci

Author: Bernhard O. Boehm, Marten H. Hofker, Clara C. Elbers, Sam E. Tischfield, Yvonne T. van der Schouw, Richa Saxena, Caitrin W. McDonough, Kandice Kottke-Marchant, Folkert W. Asselbergs, Heribert Schunkert, L. Adrienne Cupples, Nicole L. Glazer, Philippa J. Talmud, John G. Gums, Wolfgang Koenig, Debbie A Lawlor, Matthew B. Lanktree, Myriam Fornage, Andrea Z. LaCroix, A. H. Zwinderman, Alice V. Stanton, Ronald P. Stolk, Kristian M. Bailey, Jeffery R. O'Connell, James S. Pankow, Jolanda M. A. Boer, Brendan J. Keating, Alan R. Shuldiner, Christian Hengstenberg, Yun Li, Olle Melander, Christian Delles, Gail P. Jarvik, John Whitfield, Stephen Newhouse, Rita P.S. Middelberg, Winfried März, Arthur A.M. Wilde, Patricia B. Munroe, Yan Gong, Herman A. Taylor, Denis C. Shields, Hugh Watkins, Ronald Klein, Charles Kooperberg, Hans L. Hillege, Elina Toskala, Christie M. Ballantyne, Mingyao Li, Suzanne Rafelt, Nilesh J. Samani, Bruce H. R. Wolffenbuttel, Kent R. Bailey, Pieter A. Doevendans, Yii-Der Ida Chen, Jens Baumert, Peter Sever, Vinicius Tragante, Florianne Bauer, Sonia S. Anand, W. M. Monique Verschuren, Braxton D. Mitchell, Barbara Thorand, Daniel I. Swerdlow, Jonathan A. Shaffer, Barbara E.K. Klein, Kiang Liu, Michael Y. Tsai, Neil R Poulter, Nicholas J. Schork, Simon P. R. Romaine, Bernhard M. Kaess, Mark J. Caulfield, Wei Chen, Erin N. Smith, Connie R. Bezzina, Stephen S. Rich, Tushar Bhangale, Leslie A. Lange, Mika Kivimäki, John Barnard, Julie A. Johnson, Roy L. Silverstein, Daichi Shimbo, Yiran Guo, Jessica van Setten, Meena Kumari, Berta Almoguera, Claire E. Hastie, Marcus E. Kleber, Robert A. Hegele, Mieke D. Trip, Matthijs F.L. Meijs, Bruce M. Psaty, Tina Shah, Susan Redline, Eric Boerwinkle, Cisca Wijmenga, Jonas S. Dejong, Catharina A. Hartman, Karen J. Cruickshanks, Taimour Y. Langaee, Amber A. Burt, Niek Verweij, David Duggan, Jerome I. Rotter, Ellen Van Der Schoot, Sathanur R. Srinivasan, N. Charlotte Onland-Moret, Paul Burton, Hakon Hakonarson, Laya Mallela, Fotios Drenos, Yolande Appelman, Rhonda M. Cooper-DeHoff, Peter S. Braund, Eric J. Topol, Michael V. Holmes, Grant W. Montgomery, Hubert Scharnagl, Alexander P. Reiner, Susan Kirkland, Daniel J. Rader, John C. Whittaker, Clement E. Furlong, Suthesh Sivapalaratnam, Gerald S. Berenson, Kiran Musunuru, Steve E. Humphries, Toby Johnson, Sarah S. Murray, Ramakrishnan Rajagopalan, Paul I.W. de Bakker, Erik P A Van Iperen, John J.P. Kastelein, Robert Clarke, Jemma C. Hopewell, Thomas Illig, Wendy S. Post, Anna F. Dominiczak, Christopher P. Nelson, Amber L. Beitelshees, Gurunathan Murugesan, Pim van der Harst, G. Kees Hovingh, Muredach P. Reilly, Karina W. Davidson, John M. C. Connell, Anthony J. Balmforth, James G. Wilson, Jose M. Ordovas, Sarah G. Buxbaum, Tom R. Gaunt, Jana V. van Vliet-Ostaptchouk, Li Zhang, Peter J. van der Most, Ian N. M. Day, Willem H. Ouwehand, Salim Yusuf, Haiqing Shen, Sekar Kathiresan, Nathan Pankratz, Sandosh Padmanabhan, Pamela J. Schreiner, Alistair S. Hall, Juan P. Casas, Nicholas G. Martin, Joost L. Van Pelt, Kelly A. Volcik, Aroon D. Hingorani, Cardiology, ICaR - Heartfailure and pulmonary arterial hypertension, Faculteit Medische Wetenschappen/UMCG, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Vascular Ageing Programme (VAP), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), APH - Amsterdam Public Health, Epidemiology and Data Science, Graduate School, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, Landsteiner Laboratory, and Clinical Haematology
Subjects: Male, Candidate gene, Genome-wide association study, 030204 cardiovascular system & hematology, Cardiovascular, Medical and Health Sciences, 0302 clinical medicine, APOLIPOPROTEIN B-100, Missing heritability problem, MISSING HERITABILITY, 2.1 Biological and endogenous factors, Genetics(clinical), Aetiology, FAMILIAL HYPERCHOLESTEROLEMIA, Genetics (clinical), Genetics, Genetics & Heredity, 0303 health sciences, QUANTITATIVE TRAITS, Single Nucleotide, Biological Sciences, Lipids, 3. Good health, SNP genotyping, PLASMA TRIGLYCERIDES, Cholesterol, Phenotype, DENSITY-LIPOPROTEIN CHOLESTEROL, lipids (amino acids, peptides, and proteins), Female, HDL, Genotype, European Continental Ancestry Group, Quantitative Trait Loci, Single-nucleotide polymorphism, STATISTICAL-MODEL, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, Article, White People, LDL, 03 medical and health sciences, Sex Factors, Humans, CORONARY-HEART-DISEASE, Polymorphism, GENOME-WIDE ASSOCIATION, Genotyping, Triglycerides, 030304 developmental biology, Genetic association, COMPLEX TRAITS, Human Genome, Cholesterol, HDL, nutritional and metabolic diseases, Cholesterol, LDL, Atherosclerosis, LifeLines Cohort Study, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids. © 2012 The American Society of Human Genetics.
Published: 2016
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40. The Prevalence and Significance of the Early Repolarization Pattern in Sudden Arrhythmic Death Syndrome Families

Author: Elijah R. Behr, Christopher P. Nelson, Michael Papadakis, Wibke Reinhard, Greg Mellor, Christian Hengstenberg, Yanushi D. Wijeyeratne, Claire Robb, Hariharan Raju, Nilesh J. Samani, and Sanjay Sharma
Subjects: Adult, Male, medicine.medical_specialty, Benign early repolarization, Context (language use), 030204 cardiovascular system & hematology, Sudden death, Death, Sudden, Electrocardiography, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Physiology (medical), Internal medicine, Prevalence, medicine, Humans, Repolarization, 030212 general & internal medicine, Risk factor, Ajmaline, business.industry, Case-control study, Arrhythmias, Cardiac, Odds ratio, Death, Sudden, Cardiac, Endocrinology, Case-Control Studies, Cardiology, Female, Cardiology and Cardiovascular Medicine, business, medicine.drug
Abstract: Background— The early repolarization (ER) pattern is associated with sudden death and has been shown to be heritable. Its significance when identified in families affected by sudden arrhythmic death syndrome (SADS) remains unclear. Methods and Results— We analyzed 12-lead ECGs of 401 first-degree relatives of individuals who had died from SADS. The prevalence of ER patterns was compared with family-clustered controls. ER was more common in SADS family members than in controls (21% versus 8%; odds ratio: 5.14; 95% confidence interval, 3.37–7.84) independent of the presence of a familial cardiac diagnosis. Both ascending and horizontal ER patterns were more common. In addition, ER was investigated for associations with findings from ajmaline provocation (n=332), exercise ECG (n=304), and signal-averaged ECG (n=118) when performed. ER was associated with a trend toward late depolarization, in general was suppressed with exercise and was unaffected by ajmaline. Inferior and horizontal patterns were, however, more likely to persist during exercise. Augmentation of ER with ajmaline was rare. Conclusions— The ER pattern is more common in SADS family members than controls adjusted in particular for relatedness. The increased prevalence is irrespective of ER subtype and the presence of other inherited arrhythmia syndromes. ER may therefore represent an underlying heritable arrhythmia syndrome or risk factor for sudden death in the context of other cardiac pathology. The differing response of ER subtypes to exercise and ajmaline provocation suggests underlying mechanisms of both abnormal repolarization and depolarization.
Published: 2016

41. Loss of Cardioprotective Effects at the

Author: Danish, Saleheen, Wei, Zhao, Robin, Young, Christopher P, Nelson, WeangKee, Ho, Jane F, Ferguson, Asif, Rasheed, Kristy, Ou, Sylvia T, Nurnberg, Robert C, Bauer, Anuj, Goel, Ron, Do, Alexandre F R, Stewart, Jaana, Hartiala, Weihua, Zhang, Gudmar, Thorleifsson, Rona J, Strawbridge, Juha, Sinisalo, Stavroula, Kanoni, Sanaz, Sedaghat, Eirini, Marouli, Kati, Kristiansson, Jing, Hua Zhao, Robert, Scott, Dominique, Gauguier, Svati H, Shah, Albert Vernon, Smith, Natalie, van Zuydam, Amanda J, Cox, Christina, Willenborg, Thorsten, Kessler, Lingyao, Zeng, Michael A, Province, Andrea, Ganna, Lars, Lind, Nancy L, Pedersen, Charles C, White, Anni, Joensuu, Marcus, Edi Kleber, Alistair S, Hall, Winfried, März, Veikko, Salomaa, Christopher, O'Donnell, Erik, Ingelsson, Mary F, Feitosa, Jeanette, Erdmann, Donald W, Bowden, Colin N A, Palmer, Vilmundur, Gudnason, Ulf De, Faire, Pierre, Zalloua, Nicholas, Wareham, John R, Thompson, Kari, Kuulasmaa, George, Dedoussis, Markus, Perola, Abbas, Dehghan, John C, Chambers, Jaspal, Kooner, Hooman, Allayee, Panos, Deloukas, Ruth, McPherson, Kari, Stefansson, Heribert, Schunkert, Sekar, Kathiresan, Martin, Farrall, Philippe, Marcel Frossard, Daniel J, Rader, Nilesh J, Samani, and Muredach P, Reilly
Subjects: Adult, Aged, 80 and over, Male, Smoking, ADAMTS7 Protein, Coronary Disease, Middle Aged, Coronary Vessels, Polymorphism, Single Nucleotide, Genetic Loci, Humans, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Cells, Cultured, Aged
Abstract: Common diseases such as coronary heart disease (CHD) are complex in etiology. The interaction of genetic susceptibility with lifestyle factors may play a prominent role. However, gene-lifestyle interactions for CHD have been difficult to identify. Here, we investigate interaction of smoking behavior, a potent lifestyle factor, with genotypes that have been shown to associate with CHD risk.We analyzed data on 60 919 CHD cases and 80 243 controls from 29 studies for gene-smoking interactions for genetic variants at 45 loci previously reported to be associated with CHD risk. We also studied 5 loci associated with smoking behavior. Study-specific gene-smoking interaction effects were calculated and pooled using fixed-effects meta-analyses. Interaction analyses were declared to be significant at aWe identified novel gene-smoking interaction for a variant upstream of the
Published: 2016

42. Variant ASGR1 Associated with a Reduced Risk of Coronary Artery Disease

Author: Daniel F. Gudbjartsson, Gisli Masson, Riyaz S. Patel, Nilesh J. Samani, Alistair S. Hall, Torben Hansen, Andre M. van Rij, Christopher P. Nelson, Svati H. Shah, William E. Kraus, Isleifur Olafsson, Audur Magnusdottir, Mogens Fenger, Gregory T. Jones, Arna B Agustsdottir, Paul Nioi, Gudmundur I. Eyjolfsson, Asgeir Sigurdsson, Ulrik Abildgaard, Thorunn Rafnar, Peter Riis Hansen, Daniel J. Rader, Hannes Helgason, Gudmundur L. Norddahl, Dorine W. Swinkels, Patrick Sulem, Tessel E. Galesloot, Torsten Lauritzen, Unnur Thorsteinsdottir, Kari Stefansson, Henrik Vestergaard, Hilma Holm, Muredach P. Reilly, Anna Helgadottir, Lambertus A. Kiemeney, Olof Sigurdardottir, Allan Linneberg, Nele Friedrich, Arshed A. Quyyumi, Peter S. Braund, Allan I Levey, Aslaug Jonasdottir, Michael J.A. Williams, Niels Grarup, Gudmundur Thorgeirsson, Valgerdur Steinthorsdottir, Torben Jørgensen, Nikolaj T. Krarup, Oluf Pedersen, Gudmar Thorleifsson, Salim S. Hayek, Solveig Gretarsdottir, Ingileif Jonsdottir, and Anders Galløe
Subjects: 0301 basic medicine, Male, LIVER, Myocardial Infarction/genetics, Myocardial Infarction, Iceland, Asialoglycoprotein Receptor, Coronary Artery Disease, Haploinsufficiency, Kaplan-Meier Estimate, Genome, Coronary artery disease, chemistry.chemical_compound, Myocardial infarction, European Continental Ancestry Group/genetics, FAMILIAL HYPERCHOLESTEROLEMIA, Genetics, Aged, 80 and over, PLASMA, CHOLESTEROL, Coronary Artery Disease/genetics, General Medicine, Middle Aged, RECEPTORS, Cholesterol, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Female, Adult, Risk, Sequence analysis, European Continental Ancestry Group, Molecular Sequence Data, Biology, Cholesterol/blood, White People, 03 medical and health sciences, medicine, LOCUS, Humans, Genetic Predisposition to Disease, ASIALOGLYCOPROTEIN, SIALIC-ACID, Aged, AUTOSOMAL-DOMINANT HYPERCHOLESTEROLEMIA, Asialoglycoprotein Receptor/genetics, Base Sequence, Intron, Sequence Analysis, DNA, medicine.disease, GLYCOPROTEINS, 030104 developmental biology, Renal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11], chemistry, Lipoprotein
Abstract: BACKGROUNDSeveral sequence variants are known to have effects on serum levels of non-high-density lipoprotein (HDL) cholesterol that alter the risk of coronary artery disease.METHODSWe sequenced the genomes of 2636 Icelanders and found variants that we then imputed into the genomes of approximately 398,000 Icelanders. We tested for association between these imputed variants and non-HDL cholesterol levels in 119,146 samples. We then performed replication testing in two populations of European descent. We assessed the effects of an implicated loss-of-function variant on the risk of coronary artery disease in 42,524 case patients and 249,414 controls from five European ancestry populations. An augmented set of genomes was screened for additional loss-of-function variants in a target gene. We evaluated the effect of an implicated variant on protein stability.RESULTSWe found a rare noncoding 12-base-pair (bp) deletion (del12) in intron 4 of ASGR1, which encodes a subunit of the asialoglycoprotein receptor, a lectin that plays a role in the homeostasis of circulating glycoproteins. The del12 mutation activates a cryptic splice site, leading to a frameshift mutation and a premature stop codon that renders a truncated protein prone to degradation. Heterozygous carriers of the mutation (1 in 120 persons in our study population) had a lower level of non-HDL cholesterol than noncarriers, a difference of 15.3 mg per deciliter (0.40 mmol per liter) (P = 1.0x10(-16)), and a lower risk of coronary artery disease (by 34%; 95% confidence interval, 21 to 45; P = 4.0x10(-6)). In a larger set of sequenced samples from Icelanders, we found another loss-of-function ASGR1 variant (p.W158X, carried by 1 in 1850 persons) that was also associated with lower levels of non-HDL cholesterol (P = 1.8x10(-3)).CONCLUSIONSASGR1 haploinsufficiency was associated with reduced levels of non-HDL cholesterol and a reduced risk of coronary artery disease. (Funded by the National Institutes of Health and others.)
Published: 2016
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43. No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis

Author: Pierre Zalloua, King Wai Lau, Andrew Bjonnes, Marcus E. Kleber, Christina Willenborg, Veikko Salomaa, Elias Salfati, Robert Clarke, Sonia S. Anand, Yingchang Lu, Anders Hamsten, Pekka J. Karhunen, Theodosios Kyriakou, Frank Beutner, Alexandre F.R. Stewart, George Dedoussis, Patrik K. E. Magnusson, John C. Chambers, Christopher P. Nelson, Stavroula Kanoni, Svati H. Shah, Lars Lind, Ruth J. F. Loos, Carlos Iribarren, Reijo Laaksonen, Nilesh J. Samani, Inke R. König, Dominique Gauguier, Christina Loley, Tõnu Esko, Mika Kähönen, Jeanette Erdmann, Panos Deloukas, Loukianos S. Rallidis, John R. Thompson, Vilmantas Giedraitis, Martin Farrall, Stanley A Hazen, Dharambir K. Sanghera, Erik Ingelsson, Eirini Marouli, S. Ripatti, Kjell Nikus, Taru Tukiainen, Maris Alver, Joachim Thiery, Nancy L. Pedersen, Anuj Goel, Jemma C. Hopewell, Themistocles L. Assimes, Winfried März, Stefan Gustafsson, Markku Eskola, Lingyao Zeng, Weihua Zhang, Hong-Hee Won, Jussi Hernesniemi, Majid Nikpay, Ruth McPherson, Leo-Pekka Lyytikäinen, Liming Qu, Andres Metspalu, Muredach P. Reilly, Hugh Watkins, Erwin P. Bottinger, Evelin Mihailov, Terho Lehtimäki, Sekar Kathiresan, Ron Do, Heribert Schunkert, Alistair S. Hall, Rory Collins, Markus Scholz, Jie Huang, Andrew P. Morris, Cecilia M. Lindgren, Jaspal S. Kooner, Christopher B. Granger, Clinicum, Institute for Molecular Medicine Finland, Samuli Olli Ripatti / Principal Investigator, Department of Public Health, Biostatistics Helsinki, and Complex Disease Genetics
Subjects: Male, 0301 basic medicine, medicine.medical_specialty, Internationality, Genome-wide association study, Coronary Artery Disease, 030204 cardiovascular system & hematology, Biology, Logistic regression, Bioinformatics, GENOTYPE IMPUTATION, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, GENOME-WIDE ASSOCIATION, X chromosome, Genetic association, Medicinsk genetik, Genetics, Chromosomes, Human, X, Science & Technology, Multidisciplinary, Autosome, Random effects model, Multidisciplinary Sciences, 030104 developmental biology, Meta-analysis, Science & Technology - Other Topics, Medical genetics, Female, INACTIVATION, SEX, 3111 Biomedicine, Medical Genetics
Abstract: In recent years, genome-wide association studies have identified 58 independent risk loci for coronary artery disease (CAD) on the autosome. However, due to the sex-specific data structure of the X chromosome, it has been excluded from most of these analyses. While females have 2 copies of chromosome X, males have only one. Also, one of the female X chromosomes may be inactivated. Therefore, special test statistics and quality control procedures are required. Thus, little is known about the role of X-chromosomal variants in CAD. To fill this gap, we conducted a comprehensive X-chromosome-wide meta-analysis including more than 43,000 CAD cases and 58,000 controls from 35 international study cohorts. For quality control, sex-specific filters were used to adequately take the special structure of X-chromosomal data into account. For single study analyses, several logistic regression models were calculated allowing for inactivation of one female X-chromosome, adjusting for sex and investigating interactions between sex and genetic variants. Then, meta-analyses including all 35 studies were conducted using random effects models. None of the investigated models revealed genome-wide significant associations for any variant. Although we analyzed the largest-to-date sample, currently available methods were not able to detect any associations of X-chromosomal variants with CAD.
Published: 2016

44. Should relative survival be used with lung cancer data?

Author: Sally R. Hinchliffe, Mark J. Rutherford, Christopher P. Nelson, Michael J. Crowther, and Paul C. Lambert
Subjects: Adult, Male, Gerontology, Cancer Research, Lung Neoplasms, Adolescent, Epidemiology, Population, Disease, Young Adult, Age Distribution, sensitivity analysis, Risk Factors, Humans, Medicine, Life Tables, Registries, Young adult, Lung cancer, education, Finland, Survival analysis, education.field_of_study, Relative survival, business.industry, Smoking, relative survival, Middle Aged, medicine.disease, Survival Analysis, Cancer registry, lung cancer, expected survival, Oncology, Population study, Female, business, Demography
Abstract: Background: Under certain assumptions, relative survival is a measure of net survival based on estimating the excess mortality in a study population when compared with the general population. Background mortality estimates are usually taken from national life tables that are broken down by age, sex and calendar year. A fundamental assumption of relative survival methods is that if a patient did not have the disease of interest then their probability of survival would be comparable to that of the general population. It is argued, as most lung cancer patients are smokers and therefore carry a higher risk of smoking-related mortalities, that they are not comparable to a population where the majority are likely to be non-smokers. Methods: We use data from the Finnish Cancer Registry to assess the impact that the non-comparability assumption has on the estimates of relative survival through the use of a sensitivity analysis. Results: Under realistic estimates of increased all-cause mortality for smokers compared with non-smokers, the bias in the estimates of relative survival caused by the non-comparability assumption is negligible. Conclusion: Although the assumption of comparability underlying the relative survival method may not be reasonable, it does not have a concerning impact on the estimates of relative survival, as most lung cancer patients die within the first 2 years following diagnosis. This should serve to reassure critics of the use of relative survival when applied to lung cancer data.
Published: 2012
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45. Dense Genotyping of Candidate Gene Loci Identifies Variants Associated With High-Density Lipoprotein Cholesterol

Author: Christopher P. Nelson, Amit Khera, Maciej Tomaszewski, Daniel J. Rader, Ioannis M. Stylianou, Stephanie DerOhannessian, Jing He, Muredach P. Reilly, Peter S. Braund, Angela Döring, Andrew C. Edmondson, Jens Baumert, Barbara Thorand, N. Klopp, Wolfgang Koenig, Mingyao Li, Megan L. Wolfe, Brendan J. Keating, Nilesh J. Samani, Liming Qu, and Martin D. Tobin
Subjects: Adult, Male, Nonsynonymous substitution, Candidate gene, Genotype, Population, Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, Article, Cohort Studies, Delta-5 Fatty Acid Desaturase, Genetics, Humans, education, Genetics (clinical), Aged, Oligonucleotide Array Sequence Analysis, Genetic association, education.field_of_study, Cholesterol, HDL, Middle Aged, Phenotype, Genetic Loci, lipids, genetic association studies, cholesterol HDL, cardiovascular diseases, Case-Control Studies, Female, lipids (amino acids, peptides, and proteins), Cardiology and Cardiovascular Medicine, Genome-Wide Association Study
Abstract: Background— Plasma levels of high-density lipoprotein cholesterol (HDL-C) are known to be heritable, but only a fraction of the heritability is explained. We used a high-density genotyping array containing single-nucleotide polymorphisms (SNPs) from HDL-C candidate genes selected on known biology of HDL-C metabolism, mouse genetic studies, and human genetic association studies. SNP selection was based on tagging SNPs and included low-frequency nonsynonymous SNPs. Methods and Results— Association analysis in a cohort containing extremes of HDL-C (case-control, n=1733) provided a discovery phase, with replication in 3 additional populations for a total meta-analysis in 7857 individuals. We replicated the majority of loci identified through genome-wide association studies and present on the array (including ABCA1, APOA1/C3/A4/A5, APOB, APOE/C1/C2, CETP, CTCF-PRMT8, FADS1/2/3, GALNT2, LCAT, LILRA3, LIPC, LIPG, LPL, LRP4, SCARB1, TRIB1, ZNF664 ) and provide evidence that suggests an association in several previously unreported candidate gene loci (including ABCG1, GPR109A/B/81, NFKB1, PON1/2/3/4 ). There was evidence for multiple, independent association signals in 5 loci, including association with low-frequency nonsynonymous variants. Conclusions— Genetic loci associated with HDL-C are likely to harbor multiple, independent causative variants, frequently with opposite effects on the HDL-C phenotype. Cohorts comprising subjects at the extremes of the HDL-C distribution may be efficiently used in a case-control discovery of quantitative traits.
Published: 2011
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46. The Relationship Between Plasma Angiopoietin-like Protein 4 Levels, Angiopoietin-like Protein 4 Genotype, and Coronary Heart Disease Risk

Author: S. Matthijs Boekholdt, Marius R. Robciuc, Meena Kumari, Alistair S. Hall, Nilesh J. Samani, Matti Jauhiainen, Jackie A. Cooper, Nicholas J. Wareham, Tom R. Gaunt, Melissa C. Smart-Halajko, Ian N.M. Day, Philippa J. Talmud, Steve E. Humphries, Christopher P. Nelson, Christian Ehnholm, Mika Kivimäki, Peter S. Braund, Kay-Tee Khaw, Amsterdam Cardiovascular Sciences, and Cardiology
Subjects: Male, medicine.medical_specialty, Genotype, Single-nucleotide polymorphism, Coronary Artery Disease, Biology, Polymorphism, Single Nucleotide, Article, Cell Line, Coronary artery disease, Risk Factors, ANGPTL4, Polymorphism (computer science), Internal medicine, medicine, Angiopoietin-Like Protein 4, Humans, Risk factor, Kidney, Vascular disease, Middle Aged, medicine.disease, Endocrinology, medicine.anatomical_structure, Cohort, Cardiology and Cardiovascular Medicine, Angiopoietins, Biomarkers
Abstract: Objective— To investigate the relationship between angiopoietin-like protein 4 (Angptl4) levels, coronary heart disease (CHD) biomarkers, and ANGPTL4 variants. Methods and Results— Plasma Angptl4 was quantified in 666 subjects of the Northwick Park Heart Study II using a validated ELISA. Seven ANGPTL4 single-nucleotide polymorphisms were genotyped, and CHD biomarkers were assessed in the whole cohort (N=2775). Weighted mean±SD plasma Angptl4 levels were 10.0±11.0 ng/mL. Plasma Angptl4 concentration correlated positively with age ( r =0.15, P r =0.19, P =0.003) but negatively with plasma high-density lipoprotein cholesterol ( r =−0.13, P =0.01). No correlation with triglycerides (TGs) was observed. T266M was independently associated with plasma Angptl4 levels ( P Conclusion— Circulating Angptl4 levels may not influence TG levels or CHD risk for the following reasons: (1) Angptl4 levels were not correlated with TGs; (2) T266M, although associated with Angptl4 levels, showed no association with plasma TGs; and (3) TG-lowering E40K did not influence Angptl4 levels. These results provide new insights into the role of Angptl4 in TG metabolism.
Published: 2010
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47. Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study

Author: Stefan Blankenberg, Christopher P. Nelson, Arne Schillert, Heribert Schunkert, Kari Stefansson, Thomas Quertermous, Ruth McPherson, Benjamin F. Voight, Themistocles L. Assimes, Alistair S. Hall, Mary Susan Burnett, Christopher J. O'Donnell, L. Adrienne Cupples, Christian Hengstenberg, Andreas Ziegler, Muredach P. Reilly, Eran Halperin, Daniel J. Rader, Li Chen, George A. Wells, Robert Roberts, Eric Boerwinkle, Devin Absher, Stephen E. Epstein, Gudmar Thorleifsson, Sekar Kathiresan, Reijo Laaksonen, Jeanette Erdmann, Hilma Holm, Michael Preuss, Winfried März, Kiran Musunuru, Alexandre F.R. Stewart, Nilesh J. Samani, Inke R. König, John R. Thompson, and Mingyao Li
Subjects: Adult, Male, Genotype, Multifunction cardiogram, Myocardial Infarction, Single-nucleotide polymorphism, Genome-wide association study, Coronary Artery Disease, 030204 cardiovascular system & hematology, Bioinformatics, Polymorphism, Single Nucleotide, Article, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Genetics, Humans, Medicine, Genetic Predisposition to Disease, Myocardial infarction, Genetics (clinical), Aged, 030304 developmental biology, Genetic association, 0303 health sciences, business.industry, Middle Aged, medicine.disease, 3. Good health, Genetic epidemiology, Research Design, Female, Cardiology and Cardiovascular Medicine, business, Algorithms, Imputation (genetics), Genome-Wide Association Study
Abstract: Background— Recent genome-wide association studies (GWAS) of myocardial infarction (MI) and other forms of coronary artery disease (CAD) have led to the discovery of at least 13 genetic loci. In addition to the effect size, power to detect associations is largely driven by sample size. Therefore, to maximize the chance of finding novel susceptibility loci for CAD and MI, the Coronary ARtery DIsease Genome-wide Replication And Meta-analysis (CARDIoGRAM) consortium was formed. Methods and Results— CARDIoGRAM combines data from all published and several unpublished GWAS in individuals with European ancestry; includes >22 000 cases with CAD, MI, or both and >60 000 controls; and unifies samples from the Atherosclerotic Disease VAscular functioN and genetiC Epidemiology study, CADomics, Cohorts for Heart and Aging Research in Genomic Epidemiology, deCODE, the German Myocardial Infarction Family Studies I, II, and III, Ludwigshafen Risk and Cardiovascular Heath Study/AtheroRemo, MedStar, Myocardial Infarction Genetics Consortium, Ottawa Heart Genomics Study, PennCath, and the Wellcome Trust Case Control Consortium. Genotyping was carried out on Affymetrix or Illumina platforms followed by imputation of genotypes in most studies. On average, 2.2 million single nucleotide polymorphisms were generated per study. The results from each study are combined using meta-analysis. As proof of principle, we meta-analyzed risk variants at 9p21 and found that rs1333049 confers a 29% increase in risk for MI per copy ( P =2×10 −20 ). Conclusion— CARDIoGRAM is poised to contribute to our understanding of the role of common genetic variation on risk for CAD and MI.
Published: 2010
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48. Prognostic value of admission blood glucose concentration and diabetes diagnosis on survival after acute myocardial infarction: results from 4702 index cases in routine practice

Author: Christopher P. Nelson, K. L. Woods, David R. Jones, Paul C. Lambert, Leong L. Ng, and Iain B. Squire
Subjects: Adult, Blood Glucose, Male, Risk, medicine.medical_specialty, Acute coronary syndrome, Myocardial Infarction, Cohort Studies, Coronary artery disease, Young Adult, Patient Admission, Predictive Value of Tests, Internal medicine, Diabetes mellitus, Diabetes Mellitus, medicine, Humans, Myocardial infarction, Hospitals, Teaching, Aged, Retrospective Studies, Aged, 80 and over, business.industry, ST elevation, Retrospective cohort study, General Medicine, Odds ratio, Middle Aged, Prognosis, medicine.disease, Survival Analysis, Surgery, England, Quartile, Cardiology, Female, business
Abstract: The diagnosis of diabetes and admission blood glucose concentration are associated with adverse outcome after acute coronary syndromes. We compared the relative association with survival after ST elevation AMI (acute myocardial infarction) of admission blood glucose concentration and of diabetes diagnosis. We carried out a retrospective cohort study in 4702 consecutive patients with STEMI (ST elevation AMI) occurring from 1 April 1993 to 31 December 2005, assessed for mortality at 30 days and 1 year. Patients were classified according to antecedent diabetes and by blood glucose concentration at admission (quartile 1, 80% in quartile 3 and by >150% in quartile 4, compared with glucose quartile 1. Antecedent diabetes was associated with an increase in mortality [unadjusted odds ratio (OR) 1.52 (95% CI 1.24, 1.86)]. On multivariable analysis (excluding glucose quartile), this reduced to 1.24 (0.98, 1.58) and changed to a small, statistically non-significant reduction in risk when glucose quartile was added to the analysis [adjusted OR 0.87 (0.67, 1.13)]. Inclusion of antecedent diabetes in multivariable models did not add to the predictive value for mortality of glucose quartile (P=0.368). Similar relationships were observed for 1 year mortality. In patients with STEMI, blood glucose concentration shows graded association with risk of 30-day and 1-year mortality and is of greater prognostic relevance than antecedent diabetes diagnosis. Moderate elevation of blood glucose, below levels previously considered to be clinically relevant, is associated with adverse impact on survival.
Published: 2010
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49. Flexible parametric models for relative survival, with application in coronary heart disease

Author: David R. Jones, Paul C. Lambert, Christopher P. Nelson, and Iain B. Squire
Subjects: Male, Statistics and Probability, Hazard (logic), Biometry, Time Factors, Scale (ratio), Epidemiology, Population, Coronary Artery Disease, Statistics, Odds Ratio, Econometrics, Humans, Computer Simulation, education, Survival analysis, Aged, Mathematics, Stochastic Processes, education.field_of_study, Models, Statistical, Relative survival, Regression analysis, Middle Aged, Prognosis, Survival Analysis, England, Data Interpretation, Statistical, Parametric model, Piecewise, Regression Analysis, Female, Algorithms
Abstract: Relative survival is frequently used in population-based studies as a method for estimating disease-related mortality without the need for information on cause of death. We propose an extension to relative survival of a flexible parametric model proposed by Royston and Parmar for censored survival data. The model provides smooth estimates of the relative survival and excess mortality rates by using restricted cubic splines on the log cumulative excess hazard scale. The approach has several advantages over some of the more standard relative survival models, which adopt a piecewise approach, the main being the ability to model time on a continuous scale, the survival and hazard functions are obtained analytically and it does not use split-time data.
Published: 2007
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50. Age- and Sex-Specific Causal Effects of Adiposity on Cardiovascular Risk Factors

Author: Christopher P. Nelson, Valeriya Lyssenko, Philippe Amouyel, Alistair S. Hall, Andres Metspalu, Giovanni Veronesi, Mark I. McCarthy, Peter M. Nilsson, Nilesh J. Samani, Marika Kaakinen, Jean Ferrières, Antti-Pekka Sarin, Veikko Salomaa, Tove Fall, Cristina Menni, Jarmo Virtamo, Cornelia M. van Duijn, Samuli Ripatti, Tõnu Esko, Oscar H. Franco, David P. Strachan, Martin D. Tobin, John Yarnell, Beben Benyamin, Aki S. Havulinna, André G. Uitterlinden, M. Arfan Ikram, Christian Herder, Michael Kobl, Abbas Dehghan, Wolfgang Koenig, Nicholas G. Martin, Patrik K. E. Magnusson, Kirsi H. Pietiläinen, Ville Huikari, Massimo Mangino, John Whitfield, Paul S. de Vries, Sara M. Willems, Brenda W.J.H. Penninx, Jaakko Kaprio, Peter Lichtner, Marja-Liisa Nuotio, Leif Groop, Albert Hofman, Alexander Ploner, Konstantin Strauch, Kari Kuulasmaa, Jean Dallongeville, Mart Kals, Dominique Cottel, Dorret I. Boomsma, Paolo Brambilla, Maris Kuningas, Dominique Arveiler, Harmen H.M. Draisma, Tim D. Spector, Aarno Palotie, Claes Ladenvall, Karri Silventoinen, Luis A. Moreno, Lars Lind, Christian Gieger, Marjo-Riitta Järvelin, Krista Fischer, Ann-Christine Syvänen, Alun Evans, Vilmantas Giedraitis, Annette Peters, Vanessa Legry, Erik Ingelsson, Harald Grallert, Aline Meirhaeghe, Sara Hägg, Kati Kristiansson, Grant W. Montgomery, Renée F.A.G. de Bruijn, Marcela González-Gross, Inga Prokopenko, Nancy L. Pedersen, David-Alexandre Trégouët, Reedik Mägi, Mikael Åkerlund, Bruno H. Stricker, Markus Perola, Louisa Goumidi, Kauko Heikkilä, Antti Jula, Surgery, Epidemiology, Neurology, Internal Medicine, Radiology & Nuclear Medicine, Fall, Tove, Hägg, Sara, Ploner, Alexander, Mägi, Reedik, Benyamin, Beben, Ingelsson, Erik, ENGAGE Consortium, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Fall, T, Hägg, S, Ploner, A, Mägi, R, Fischer, K, Draisma, H, Sarin, A, Benyamin, B, Ladenvall, C, Åkerlund, M, Kals, M, Esko, T, Nelson, C, Kaakinen, M, Huikari, V, Mangino, M, Meirhaeghe, A, Kristiansson, K, Nuotio, M, Kobl, M, Grallert, H, Dehghan, A, Kuningas, M, de Vries, P, de Bruijn, R, Willems, S, Heikkilä, K, Silventoinen, K, Pietiläinen, K, Legry, V, Giedraitis, V, Goumidi, L, Syvänen, A, Strauch, K, Koenig, W, Lichtner, P, Herder, C, Palotie, A, Menni, C, Uitterlinden, A, Kuulasmaa, K, Havulinna, A, Moreno, L, Gonzalez Gross, M, Evans, A, Tregouet, D, Yarnell, J, Virtamo, J, Ferrières, J, Veronesi, G, Perola, M, Arveiler, D, Brambilla, P, Lind, L, Kaprio, J, Hofman, A, Stricker, B, van Duijn, C, Ikram, M, Franco, O, Cottel, D, Dallongeville, J, Hall, A, Jula, A, Tobin, M, Penninx, B, Peters, A, Gieger, C, Samani, N, Montgomery, G, Whitfield, J, Martin, N, Groop, L, Spector, T, Magnusson, P, Amouyel, P, Boomsma, D, Nilsson, P, Järvelin, M, Lyssenko, V, Metspalu, A, Strachan, D, Salomaa, V, Ripatti, S, Pedersen, N, Prokopenko, I, Mccarthy, M, Ingelsson, E, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
Subjects: Netherlands Twin Register (NTR), Male, medicine.medical_specialty, Aging, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Endocrinology, Diabetes and Metabolism, Blood Pressure, chemistry.chemical_compound, Insulin resistance, Sex Factors, SDG 3 - Good Health and Well-being, Internal medicine, Mendelian randomization, Internal Medicine, medicine, Humans, Insulin, Triglycerides, Adiposity, adiposity, genetic markers, adiposity, blood pressure, glycemic indices, circulating lipid levels, arkers of inflammation, liver disease, biology, business.industry, Cholesterol, Interleukin-6, C-reactive protein, Cholesterol, HDL, Genetics/Genomes/Proteomics/Metabolomics, Middle Aged, medicine.disease, Obesity, 3. Good health, cardiovascular diseases, sex factors, Glycemic index, Endocrinology, Blood pressure, C-Reactive Protein, chemistry, Cardiovascular Diseases, biology.protein, Female, business, Body mass index
Abstract: Observational studies have reported different effects of adiposity on cardiovascular risk factors across age and sex. Since cardiovascular risk factors are enriched in obese individuals, it has not been easy to dissect the effects of adiposity from those of other risk factors. We used a Mendelian randomization approach, applying a set of 32 genetic markers to estimate the causal effect of adiposity on blood pressure, glycemic indices, circulating lipid levels, and markers of inflammation and liver disease in up to 67,553 individuals. All analyses were stratified by age (cutoff 55 years of age) and sex. The genetic score was associated with BMI in both nonstratified analysis (P = 2.8 × 10−107) and stratified analyses (all P < 3.3 × 10−30). We found evidence of a causal effect of adiposity on blood pressure, fasting levels of insulin, C-reactive protein, interleukin-6, HDL cholesterol, and triglycerides in a nonstratified analysis and in the
Published: 2015
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