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51. Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential

Author

Tetsushi, Nakao, Alexander G, Bick, Margaret A, Taub, Seyedeh M, Zekavat, Md M, Uddin, Abhishek, Niroula, Cara L, Carty, John, Lane, Michael C, Honigberg, Joshua S, Weinstock, Akhil, Pampana, Christopher J, Gibson, Gabriel K, Griffin, Shoa L, Clarke, Romit, Bhattacharya, Themistocles L, Assimes, Leslie S, Emery, Adrienne M, Stilp, Quenna, Wong, Jai, Broome, Cecelia A, Laurie, Alyna T, Khan, Albert V, Smith, Thomas W, Blackwell, Veryan, Codd, Christopher P, Nelson, Zachary T, Yoneda, Juan M, Peralta, Donald W, Bowden, Marguerite R, Irvin, Meher, Boorgula, Wei, Zhao, Lisa R, Yanek, Kerri L, Wiggins, James E, Hixson, C Charles, Gu, Gina M, Peloso, Dan M, Roden, Muagututi'a S, Reupena, Chii-Min, Hwu, Dawn L, DeMeo, Kari E, North, Shannon, Kelly, Solomon K, Musani, Joshua C, Bis, Donald M, Lloyd-Jones, Jill M, Johnsen, Michael, Preuss, Russell P, Tracy, Patricia A, Peyser, Dandi, Qiao, Pinkal, Desai, Joanne E, Curran, Barry I, Freedman, Hemant K, Tiwari, Sameer, Chavan, Jennifer A, Smith, Nicholas L, Smith, Tanika N, Kelly, Bertha, Hidalgo, L Adrienne, Cupples, Daniel E, Weeks, Nicola L, Hawley, Ryan L, Minster, Ranjan, Deka, Take T, Naseri, Lisa, de Las Fuentes, Laura M, Raffield, Alanna C, Morrison, Paul S, Vries, Christie M, Ballantyne, Eimear E, Kenny, Stephen S, Rich, Eric A, Whitsel, Michael H, Cho, M Benjamin, Shoemaker, Betty S, Pace, John, Blangero, Nicholette D, Palmer, Braxton D, Mitchell, Alan R, Shuldiner, Kathleen C, Barnes, Susan, Redline, Sharon L R, Kardia, Gonçalo R, Abecasis, Lewis C, Becker, Susan R, Heckbert, Jiang, He, Wendy, Post, Donna K, Arnett, Ramachandran S, Vasan, Dawood, Darbar, Scott T, Weiss, Stephen T, McGarvey, Mariza, de Andrade, Yii-Der Ida, Chen, Robert C, Kaplan, Deborah A, Meyers, Brian S, Custer, Adolfo, Correa, Bruce M, Psaty, Myriam, Fornage, JoAnn E, Manson, Eric, Boerwinkle, Barbara A, Konkle, Ruth J F, Loos, Jerome I, Rotter, Edwin K, Silverman, Charles, Kooperberg, John, Danesh, Nilesh J, Samani, Siddhartha, Jaiswal, Peter, Libby, Patrick T, Ellinor, Nathan, Pankratz, Benjamin L, Ebert, Alexander P, Reiner, Rasika A, Mathias, Ron, Do, and Pradeep, Natarajan

Subjects
Multidisciplinary
Abstract

Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program ( n = 63,302) and UK Biobank ( n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.

Published
2022
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52. Sequencing of 640,000 exomes identifies GPR75 variants associated with protection from obesity

Author

Jack A. Kosmicki, Charles Paulding, Nan Lin, Andrew J. Murphy, Jerome I. Rotter, Brian Zambrowicz, Niek Verweij, Luca A. Lotta, Michal L. Schwartzman, Giusy Della Gatta, Yii-Der Ida Chen, Alexander H. Li, Suganthi Balasubramanian, Jason M. Torres, Hyun Min Kang, Rory Collins, Parsa Akbari, Michael E. Dunn, Gonçalo R. Abecasis, Christian Benner, David J. Carey, Svati H. Shah, Jonathan Marchini, Giovanni Coppola, Marcus B. Jones, Olle Melander, Christopher D. Still, Yi-Ya Fang, Olukayode A. Sosina, Manuel A. R. Ferreira, Roberto Tapia-Conyer, Michael Cantor, Aris N. Economides, Dylan Sun, Adam E. Locke, Jonathan V. Pascale, Daniel J. Rader, Ankit Gilani, Joelle Mbatchou, Jesus Alegre-Díaz, Mark W. Sleeman, Trikaldarshi Persaud, Jeffrey G. Reid, Pablo Kuri-Morales, Jaime Berumen-Campos, John D. Overton, Aris Baras, Ercument Dirice, Sakib Hossain, Alicia Hawes, George D. Yancopoulos, Jonathan Emberson, Victor Garcia, Judith Altarejos, Lori Khrimian, Katia Karalis, William E. Kraus, Tooraj Mirshahi, Kevin Agostinucci, Alan R. Shuldiner, Center, Regeneron Genetics, and Collaboration, DiscovEHR

Subjects
0301 basic medicine, Genetics, medicine.medical_specialty, Multidisciplinary, Body Weight, Genomics, Organ Size, Biology, medicine.disease, Obesity, Article, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Genetic variation, medicine, Medical genetics, Humans, medicine.symptom, Body mass index, Weight gain, 030217 neurology & neurosurgery, Exome sequencing, Glycemic
Abstract

Introduction Obesity accounts for a substantial and growing burden of disease globally. Body adiposity is highly heritable, and human genetic studies can lead to biological and therapeutic insights. Rationale Whole-exome sequencing of hundreds of thousands of individuals is complementary to approaches used to date in obesity genetics and has the potential to identify rare protein-coding variants with large phenotypic impact. We sequenced the exomes of 645,626 individuals from the UK, the US, and Mexico and estimated associations of rare coding variants with body mass index (BMI), a measure of overall adiposity used to define obesity in clinical practice. We complemented exome sequencing with fine-mapping of common alleles, polygenic score analysis, and in vitro and in vivo modeling work. Results We identified 16 genes for which the burden of rare nonsynonymous variants was associated with BMI at exome-wide statistical significance (inverse-variance weighted meta-analysis P < 3.6 × 10−7), including associations at five brain-expressed G protein–coupled receptors (CALCR, MC4R, GIPR, GPR151, and GPR75). We observed an overrepresentation of genes highly expressed in the hypothalamus, a key center for the neuroendocrine regulation of energy balance. Protein-truncating variants in GPR75 were found in ~4/10,000 sequenced people and were associated with 1.8 kg/m2 lower BMI, 5.3 kg lower bodyweight, and 54% lower odds of obesity in heterozygous carriers. Knock out of Gpr75 in mice resulted in resistance to weight gain in a high-fat diet model, which was allele-dose dependent (25% and 44% lower weight gain, respectively, for heterozygous Gpr75−/+ mice and knockout Gpr75−/− mice compared with wild type) and accompanied by improved glycemic control and insulin sensitivity. Protein-truncating variants in CALCR were associated with higher BMI and obesity risk, whereas protein-truncating variants in GIPR and two missense alleles [Arg190→Gln (Arg190Gln), Glu288Gly], which we show result in loss of function in vitro, were associated with lower adiposity. Among monogenic obesity genes in the leptin-melanocortin pathway, heterozygous predicted loss-of-function variants in LEP, POMC, PCSK1, and MC4R (but not LEPR) were associated with higher BMI. Rare protein-truncating variants in UBR2, ANO4, and PCSK1 were associated with more than twofold higher odds of obesity in heterozygous carriers, similar to predicted-deleterious nonsynonymous variants in MC4R, which are considered the most common cause of monogenic obesity. Polygenic predisposition due to >2 million common genetic variants influenced the penetrance of obesity in rare variant carriers in an additive fashion. Conclusion These results suggest that inhibition of GPR75 may be a therapeutic strategy for obesity and illustrate the power of massive-scale exome sequencing for the identification of large-effect coding variant associations and drug targets for complex traits.

Published
2022
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54. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine mapping in the MHC and genome wide

Author

Manju Ghosh, Madhulika Kabra, Ghazala Kaukab Raja, Sujay Khandpur, James T. Elder, John J. Voorhees, Trilokraj Tejasvi, Philip E. Stuart, Vinod Sharma, Lam C. Tsoi, Gonçalo R. Abecasis, Raheel Qamar, P.A. Shaiq, Uma Kumar, Frauke Degenhardt, B.K. Thelma, Stephan Weidinger, Anita Singh Parihar, Michael Wittig, Rajan P. Nair, Andre Franke, Sonam Singh, and Matthew Patrick

Subjects
Genetics, Prioritization, South asia, genome-wide association study, biology, human leukocyte antigens, Genome-wide association study, imputation, Human leukocyte antigen, psoriasis, QH426-470, Major histocompatibility complex, medicine.disease, Article, major histocompatibility complex, skin diseases, Psoriasis, Genomewide association, biology.protein, medicine, Molecular Medicine, Genetics (clinical), Imputation (genetics)
Abstract

Summary Because transethnic analysis may facilitate prioritization of causal genetic variants, we performed a genome-wide association study (GWAS) of psoriasis in South Asians (SAS), consisting of 2,590 cases and 1,720 controls. Comparison with our existing European-origin (EUR) GWAS showed that effect sizes of known psoriasis signals were highly correlated in SAS and EUR (Spearman ρ = 0.78; p < 2 × 10−14). Transethnic meta-analysis identified two non-major histocompatibility complex (non-MHC) psoriasis loci (1p36.22 and 1q24.2) not previously identified in EUR, which may have regulatory roles. For these two loci, the transethnic GWAS provided higher genetic resolution and reduced the number of potential causal variants compared to using the EUR sample alone. We then explored multiple strategies to develop reference panels for accurately imputing MHC genotypes in both SAS and EUR populations and conducted a fine mapping of MHC psoriasis associations in SAS and the largest such effort for EUR. HLA-C∗06 was the top-ranking MHC locus in both populations but was even more prominent in SAS based on odds ratio, disease liability, model fit, and predictive power. Transethnic modeling also substantially boosted the probability that the HLA-C∗06 protein variant is causal. Secondary MHC signals included coding variants of HLA-C and HLA-B, but also potential regulatory variants of these two genes as well as HLA-A and several HLA class II genes, with effects on both chromatin accessibility and gene expression. This study highlights the shared genetic basis of psoriasis in SAS and EUR populations and the value of transethnic meta-analysis for discovery and fine mapping of susceptibility loci., We combined a GWAS of psoriasis in South Asians with past European studies to identify two novel psoriasis loci and refine Bayesian credible intervals of known loci. Fine-scale mapping of the MHC region in South Asian, European, and transethnic datasets revealed multiple risk loci, including HLA protein-coding and regulatory variants.

Published
2022

55. The Michigan Genomics Initiative: a biobank linking genotypes and electronic clinical records in Michigan Medicine patients

Author

Matthew Zawistowski, Lars G. Fritsche, Anita Pandit, Brett Vanderwerff, Snehal Patil, Ellen M. Schmidt, Peter VandeHaar, Chad M. Brummett, Sachin Keterpal, Xiang Zhou, Michael Boehnke, Gonçalo R. Abecasis, and Sebastian Zöllner

Abstract

The recent wave of biobank repositories linking individual-level genetic data with dense clinical health history has introduced a dramatic paradigm shift in phenotyping for human genetic studies. The mechanism by which biobanks recruit participants can vary dramatically according to factors such as geographic catchment and sampling strategy. These enrollment differences leave an imprint on the cohort, defining the demographics and the utility of the biobank for research purposes. Here we introduce the Michigan Genomics Initiative (MGI), a rolling enrollment, single health system biobank currently consisting of >85,000 participants recruited primarily through surgical encounters at Michigan Medicine. A strong ascertainment effect is introduced by focusing recruitment on individuals in Southeast Michigan undergoing surgery. MGI participants are, on average, less healthy than the general population, which produces a biobank enriched for case counts of many disease outcomes, making it well suited for a disease genetics cohort. A comparison to the much larger UK Biobank, which uses population representative sampling, reveals that MGI has higher prevalence for nearly all diagnosis- code-based phenotypes, and larger absolute numbers of cases for many phenotypes. GWAS of these phenotypes replicate many known findings, validating the genetic and clinical data and their proper linkage. Our results illustrate that single health-system biobanks that recruit participants through opportunistic sampling, such as surgical encounters, produce distinct patient profiles that provide an ideal resource for exploring the genetics of complex diseases.

Published
2021
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56. Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

Author

Tove Fall, Anubha Mahajan, Dmitry Shungin, B. Balkau, Gerjan Navis, A. Metspalu, Anneli Pouta, Andrew A. Hicks, Ilja M. Nolte, Ian Ford, Aroon D. Hingorani, Stefan R Bornstein, Anuj Goel, Rona J. Strawbridge, Niek Verweij, Sarah H. Wild, Patricia B. Munroe, T.B. Harris, Jaana Lindström, Johnson Pcd., Nita G. Forouhi, Pierre Meneton, Patricia A. Peyser, Sarin A-P., Andrea Ganna, Timothy M. Frayling, Patrik K. E. Magnusson, Joanne M. Meyer, Yongmei Liu, Jeanette M. Stafford, Christian Herder, L Zudina, Maria G. Stathopoulou, May E. Montasser, Nicholas D. Hastie, Inês Barroso, Schwarz Peh., James B. Meigs, Perttu Salo, George Davey Smith, Gonneke Willemsen, Christopher J. Groves, Erik P A Van Iperen, M. A. Province, Veikko Salomaa, Naveed Sattar, Serena Sanna, Maria Dimitriou, Joop Jukema, Ulrika Krus, Albert V. Smith, Markku Laakso, James F. Wilson, George Nicholson, Loic Yengo, Tatijana Zemunik, Per Eriksson, Harold Snieder, Peter P. Pramstaller, Claudia Langenberg, R. Rauramaa, Alan R. Shuldiner, Pau Navarro, Veronique Vitart, Ross M. Fraser, Aaron Isaacs, C. Lecoeur, Jesper R. Gådin, Jackie F. Price, Letizia Marullo, L.F. Bielak, Sirkka Keinänen-Kiukaanniemi, Amélie Bonnefond, Michael Stumvoll, Alessia Faggian, Anke Tönjes, Tomohiro Tanaka, Wieland Kiess, Harry Campbell, Josée Dupuis, David Altshuler, João Fadista, Winfried März, G K Hovingh, Thomas Illig, Toby Johnson, H Grallert, Kari Stefansson, Reedik Mägi, Palmer Cna., de Geus Ejcn., Martina Müller-Nurasyid, Karen Kapur, Philippe Froguel, Dorret I. Boomsma, Anders Franco-Cereceda, Marcus E. Kleber, Boehnke M, Olga D. Carlson, Ozren Polasek, Andrew P. Morris, Alex S. F. Doney, Najaf Amin, Sara M. Willems, Vilmundur Gudnason, Jose C. Florez, Jeffery R. O'Connell, Nancy L. Pedersen, T. Saaristo, Wolffenbuttel Bhr., M. I. J. Uusitupa, Longda Jiang, Iva Miljkovic, James S. Pankow, Caroline Hayward, Hugh Watkins, Vasiliki Lagou, Johanna Kuusisto, Jaakko Tuomilehto, Alan F. Wright, Josephine M. Egan, Perry Jrb., C M van Duijn, Valeriya Lyssenko, Leif Groop, Stefania Bandinelli, Nigel W. Rayner, Tõnu Esko, Stela McLachlan, Momoko Horikoshi, Eric Boerwinkle, Rick Jansen, Richard N. Bergman, Gudmar Thorleifsson, Lyle J. Palmer, Vilmantas Giedraitis, Peter Kovacs, Nicholas J. Wareham, Luigi Ferrucci, N J Timpson, D Rybin, Anne U. Jackson, Tiinamaija Tuomi, Gonçalo R. Abecasis, Harst Pvd., Meena Kumari, Albert Hofman, Chiara Scapoli, Evelin Mihailov, Josine L. Min, Anders Hamsten, Hottenga J-J., Loos Rjf., Lars Lind, Ulf de Faire, Jaakko Kaprio, Guo Li, Beate St Pourcain, C Gieger, Amanda J. Bennett, Anna Ulrich, Nabila Bouatia-Naji, Satu Männistö, Antigone S. Dimas, Jarvelin M-R., Günther Silbernagel, F Karpe, A. Körner, David S. Siscovick, M Blüher, Rebecca J. Webster, Erik Ingelsson, Susan Campbell, Mika Kivimäki, Laura J. Rasmussen-Torvik, Heikki A. Koistinen, Sophie Visvikis-Siest, Bernhard O. Boehm, Inga Prokopenko, Ping An, Emmanouil T. Dermitzakis, Cecilia M. Lindgren, Kardia Slr., Richa Saxena, Igor Rudan, Richard M. Watanabe, Jian'an Luan, Marika Kaakinen, Shin S-Y., George Dedoussis, Panagiotis Deloukas, Mark I. McCarthy, Barbara Thorand, B.W.J.H. Penninx, Peter Vollenweider, Paul W. Franks, Leena Kinnunen, Markus Perola, Yvonne Boettcher, Timo A. Lakka, Nicole Soranzo, Stavroula Kanoni, Bakker Sjl., Winkelmann Br, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Institute of Genomics [Tartu, Estonia], University of Tartu, Vrije Universiteit Amsterdam [Amsterdam] (VU), Vrije Universiteit Medical Centre (VUMC), Helmholtz-Zentrum München (HZM), University of Cambridge [UK] (CAM), Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), 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), 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), Università degli Studi di Ferrara (UniFE), Boston University [Boston] (BU), VU University Medical Center [Amsterdam], University of Bristol [Bristol], Biomedical Sciences Research Centre Alexander Fleming [Vari, Greece] (BSRC), Imperial College London, Karolinska Institutet [Stockholm], Institute for Molecular Bioscience, University of Queensland [Brisbane], Statens Serum Institut [Copenhagen], Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Cardiovascular Research Institute Maastricht (CARIM), Maastricht University [Maastricht], MRC Institute of Genetics and Molecular Medicine [Edinburgh] (IGMM), University of Edinburgh-Medical Research Council, National Institute on Aging [Baltimore, MD, USA] (NIH), University of Michigan [Ann Arbor], University of Michigan System, University of Maryland School of Medicine, University of Maryland System, The University of Western Australia (UWA), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Wake Forest University, National Institute for Health and Welfare [Helsinki], The Wellcome Trust Sanger Institute [Cambridge], University of Iceland [Reykjavik], University of Washington [Seattle], University of Groningen [Groningen], University of Glasgow, William Harvey Research Institute, Barts and the London Medical School, Université de Lausanne (UNIL), deCODE genetics [Reykjavik], Northwestern University Feinberg School of Medicine, Uppsala Universitet [Uppsala], University of Edinburgh, Medical Faculty [Mannheim], University of Graz, Ludwig-Maximilians-Universität München (LMU), Johannes Gutenberg - Universität Mainz (JGU), Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki-University of Helsinki, Umeå University, Skane University Hospital [Malmo], Lund University [Lund], RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche [Roma] (CNR), University Medical Center Groningen [Groningen] (UMCG), Universität Leipzig [Leipzig], Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Split, Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), University of Amsterdam [Amsterdam] (UvA), University of Eastern Finland, Harokopio University of Athens, European Academy Bozen/Bolzano (EURAC), University of Kuopio, German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] (DZD), University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Ninewells Hospital and Medical School [Dundee], University College of London [London] (UCL), University of Essex, Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], University of Helsinki, Leiden University Medical Center (LUMC), Institute of Cardiovascular and Medical Sciences [Glasgow], University of Oulu, The University of Texas Health Science Center at Houston (UTHealth), University of Minnesota Medical School, University of Minnesota System, Keck School of Medicine [Los Angeles], University of Southern California (USC), Amsterdam UMC, University Hospital Carl Gustav Carus [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), Universität Heidelberg [Heidelberg], King Abdulaziz University, Pirkanmaa Hospital District, Tampere University Hospital, Cedars-Sinai Medical Center, Danube University Krems, Harvard School of Public Health, Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Hannover Medical School [Hannover] (MHH), Universität zu Lübeck [Lübeck], University of Exeter, Regeneron Pharmaceuticals [Tarrytown], University of Adelaide, Centre de Recherche des Cordeliers (CRC (UMR_S 872)), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Harvard T.H. Chan School of Public Health, John Radcliffe Hospital [Oxford University Hospital], Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Université de Genève (UNIGE), Big Data Institute, University of Surrey (UNIS), University of Bergen (UiB), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford Cardiovascular Institute, University of Liverpool, University of Manchester [Manchester], Institute of Biochemistry and Genetics of Ufa Scientific Centre, Russian Academy of Sciences [Moscow] (RAS), Experimental Vascular Medicine, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, SIEST, Sofia, PreciDIAB Institute, the holistic approach of personal diabets care - - PreciDIAB2018 - ANR-18-IBHU-0001 - IBHU - VALID, Understanding the dynamic determinants of glucose homeostasis and social capability to promote Healthy and active aging - DYNAHEALTH - - H20202015-04-01 - 2019-03-31 - 633595 - VALID, Beyond the Genetics of Addiction - ADDICTION - - EC:FP7:ERC2011-12-01 - 2017-05-31 - 284167 - VALID, Rise of scientific excellence and collaboration for implementing personalised medicine in Estonia - ePerMed - - H20202016-01-01 - 2018-12-31 - 692145 - VALID, University of Oxford, Helmholtz Zentrum München = German Research Center for Environmental Health, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), 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 Paris Cité (UPCité), Università degli Studi di Ferrara = University of Ferrara (UniFE), Université de Lausanne = University of Lausanne (UNIL), Karl-Franzens-Universität Graz, Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Amsterdam UMC - Amsterdam University Medical Center, Nanyang Technological University [Singapour], Universität zu Lübeck = University of Lübeck [Lübeck], Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé (LIMICS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Sorbonne Paris Nord, Université de Genève = University of Geneva (UNIGE), ANR-18-IBHU-0001,PreciDIAB,PreciDIAB Institute, the holistic approach of personal diabets care(2018), European Project: 633595,H2020,H2020-PHC-2014-two-stage,DYNAHEALTH(2015), European Project: 284167,EC:FP7:ERC,ERC-2011-StG_20101124,ADDICTION(2011), European Project: 692145,H2020,H2020-TWINN-2015,ePerMed(2016), Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Functional Genomics, APH - Mental Health, Sociology and Social Gerontology, APH - Methodology, Hottenga, Jouke- Jan [0000-0002-5668-2368], Bouatia-Naji, Nabila [0000-0001-5424-2134], Jansen, Rick [0000-0002-3333-6737], Min, Josine L. [0000-0003-4456-9824], Faggian, Alessia [0000-0002-3799-9722], Bonnefond, Amélie [0000-0001-9976-3005], Isaacs, Aaron [0000-0001-5037-4834], Willems, Sara M. [0000-0002-6803-3007], Navarro, Pau [0000-0001-5576-8584], Jackson, Anne U. [0000-0002-9672-2547], Bielak, Lawrence F. [0000-0002-3443-8030], Saxena, Richa [0000-0003-2233-1065], Smith, Albert V. [0000-0003-1942-5845], Verweij, Niek [0000-0002-4303-7685], Goel, Anuj [0000-0003-2307-4021], Johnson, Paul C. D. [0000-0001-6663-7520], Strawbridge, Rona J. [0000-0001-8506-3585], Fall, Tove [0000-0003-2071-5866], Fraser, Ross M. [0000-0003-0488-2592], Kanoni, Stavroula [0000-0002-1691-9615], Giedraitis, Vilmantas [0000-0003-3423-2021], Kleber, Marcus E. [0000-0003-0663-7275], Müller-Nurasyid, Martina [0000-0003-3793-5910], Luan, Jian’an [0000-0003-3137-6337], Sanna, Serena [0000-0002-3768-1749], Nolte, Ilja M. [0000-0001-5047-4077], Zemunik, Tatijana [0000-0001-8120-2891], Kovacs, Peter [0000-0002-0290-5423], Wild, Sarah H. [0000-0001-7824-2569], McLachlan, Stela [0000-0003-0480-6143], Egan, Josephine [0000-0002-8945-0053], Hicks, Andrew A. [0000-0001-6320-0411], Thorand, Barbara [0000-0002-8416-6440], Hingorani, Aroon [0000-0001-8365-0081], Kivimaki, Mika [0000-0002-4699-5627], Koistinen, Heikki A. [0000-0001-7870-070X], Bakker, Stephan J. L. [0000-0003-3356-6791], Palmer, Colin N. A. [0000-0002-6415-6560], Jukema, J. Wouter [0000-0002-3246-8359], Sattar, Naveed [0000-0002-1604-2593], Snieder, Harold [0000-0003-1949-2298], Magnusson, Patrik K. [0000-0002-7315-7899], Blüher, Matthias [0000-0003-0208-2065], Wolffenbuttel, Bruce H. R. [0000-0001-9262-6921], Abecasis, Goncalo R. [0000-0003-1509-1825], Meigs, James B. [0000-0002-2439-2657], Wilson, James F. [0000-0001-5751-9178], Schwarz, Peter E. H. [0000-0001-6317-7880], Boehm, Bernhard O. [0000-0002-2706-7710], Metspalu, Andres [0000-0002-3718-796X], Deloukas, Panos [0000-0001-9251-070X], Körner, Antje [0000-0001-6001-0356], Wareham, Nicholas J. [0000-0003-1422-2993], Langenberg, Claudia [0000-0002-5017-7344], Männistö, Satu [0000-0002-8668-3046], Franks, Paul W. [0000-0002-0520-7604], Hayward, Caroline [0000-0002-9405-9550], Vitart, Veronique [0000-0002-4991-3797], Kaprio, Jaakko [0000-0002-3716-2455], Visvikis-Siest, Sophie [0000-0001-8104-8425], Altshuler, David [0000-0002-7250-4107], Rudan, Igor [0000-0001-6993-6884], van Duijn, Cornelia M. [0000-0002-2374-9204], Pramstaller, Peter P. [0000-0002-9831-8302], Boehnke, Michael [0000-0002-6442-7754], Frayling, Timothy M. [0000-0001-8362-2603], Peyser, Patricia A. [0000-0002-9717-8459], Harst, Pim van der [0000-0002-2713-686X], Smith, George Davey [0000-0002-1407-8314], Forouhi, Nita G. [0000-0002-5041-248X], Loos, Ruth J. F. [0000-0002-8532-5087], Salomaa, Veikko [0000-0001-7563-5324], Soranzo, Nicole [0000-0003-1095-3852], Boomsma, Dorret I. [0000-0002-7099-7972], Groop, Leif [0000-0002-0187-3263], Tuomi, Tiinamaija [0000-0002-8306-6202], Munroe, Patricia B. [0000-0002-4176-2947], Gudnason, Vilmundur [0000-0001-5696-0084], Lecoeur, Cecile [0000-0003-0075-6417], Jarvelin, Marjo-Riitta [0000-0002-2149-0630], Stefansson, Kari [0000-0003-1676-864X], Dermitzakis, Emmanouil T. [0000-0002-9302-6490], Lindgren, Cecilia M. [0000-0002-4903-9374], Froguel, Philippe [0000-0003-2972-0784], Kaakinen, Marika A. [0000-0002-9228-0462], Watanabe, Richard M. [0000-0003-1015-0531], Ingelsson, Erik [0000-0003-2256-6972], Dupuis, Josée [0000-0003-2871-3603], Barroso, Inês [0000-0001-5800-4520], Apollo - University of Cambridge Repository, Epidemiology, University Hospital Mannheim | Universitätsmedizin Mannheim, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Universität Leipzig, Universiteit Leiden, Universität Heidelberg [Heidelberg] = Heidelberg University, Karl-Franzens-Universität [Graz, Autriche], Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, General practice, APH - Digital Health, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Value, Affordability and Sustainability (VALUE), Cardiovascular Centre (CVC), Hottenga, Jouke-Jan [0000-0002-5668-2368], Min, Josine L [0000-0003-4456-9824], Willems, Sara M [0000-0002-6803-3007], Jackson, Anne U [0000-0002-9672-2547], Bielak, Lawrence F [0000-0002-3443-8030], Smith, Albert V [0000-0003-1942-5845], Johnson, Paul CD [0000-0001-6663-7520], Strawbridge, Rona J [0000-0001-8506-3585], Fraser, Ross M [0000-0003-0488-2592], Kleber, Marcus E [0000-0003-0663-7275], Luan, Jian'an [0000-0003-3137-6337], Nolte, Ilja M [0000-0001-5047-4077], Wild, Sarah H [0000-0001-7824-2569], Hicks, Andrew A [0000-0001-6320-0411], Koistinen, Heikki A [0000-0001-7870-070X], Bakker, Stephan JL [0000-0003-3356-6791], Palmer, Colin NA [0000-0002-6415-6560], Jukema, J Wouter [0000-0002-3246-8359], Magnusson, Patrik K [0000-0002-7315-7899], Wolffenbuttel, Bruce HR [0000-0001-9262-6921], Abecasis, Goncalo R [0000-0003-1509-1825], Meigs, James B [0000-0002-2439-2657], Wilson, James F [0000-0001-5751-9178], Schwarz, Peter EH [0000-0001-6317-7880], Boehm, Bernhard O [0000-0002-2706-7710], Wareham, Nicholas J [0000-0003-1422-2993], Franks, Paul W [0000-0002-0520-7604], van Duijn, Cornelia M [0000-0002-2374-9204], Pramstaller, Peter P [0000-0002-9831-8302], Frayling, Timothy M [0000-0001-8362-2603], Peyser, Patricia A [0000-0002-9717-8459], Forouhi, Nita G [0000-0002-5041-248X], Loos, Ruth JF [0000-0002-8532-5087], Boomsma, Dorret I [0000-0002-7099-7972], Munroe, Patricia B [0000-0002-4176-2947], Dermitzakis, Emmanouil T [0000-0002-9302-6490], Lindgren, Cecilia M [0000-0002-4903-9374], Kaakinen, Marika A [0000-0002-9228-0462], Watanabe, Richard M [0000-0003-1015-0531], Tampere University, Tays Research Services, Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC), Fysiologie, RS: FHML MaCSBio, and RS: Carim - B01 Blood proteins & engineering

Subjects
Male, Anorexia Nervosa, medicine.medical_treatment, 45/43, Insulin Resistance/genetics, SUSCEPTIBILITY, Quantitative trait, Impaired glucose tolerance, 0302 clinical medicine, Architecture, LS2_1, IMPUTATION, Insulin, ComputingMilieux_MISCELLANEOUS, Fasting, Publisher Correction, 3. Good health, [SDV] Life Sciences [q-bio], Kruppel-Like Transcription Factors/blood, Endokrinologi och diabetes, Science & Technology - Other Topics, Adult, Blood Glucose, European Continental Ancestry Group, Female, Gene Expression, Genetic Loci, Genome-Wide Association Study, Glucose Intolerance, Humans, Insulin Receptor Substrate Proteins, Insulin Resistance, Kruppel-Like Transcription Factors, Middle Aged, Phenotype, Sex Characteristics, Sex Factors, Waist-Hip Ratio, Sex characteristics, medicine.medical_specialty, Science, 631/208/205/2138, Endocrinology and Diabetes, General Biochemistry, Genetics and Molecular Biology, White People, Gender-differences, 03 medical and health sciences, SDG 3 - Good Health and Well-being, 692/53/2421, GLYCEMIC TRAITS, GENOME-WIDE ASSOCIATION, Glycemic, GENDER-DIFFERENCES, Science & Technology, IDENTIFICATION, 692/699/2743/2815, Blood Glucose/metabolism, Diagnostic markers, medicine.disease, Anorexia Nervosa/blood, 030104 developmental biology, Endocrinology, Glucose, Insulin/blood, Anorexia Nervosa/ethnology, Anorexia Nervosa/genetics, Anorexia Nervosa/physiopathology, Fasting/blood, Glucose Intolerance/blood, Glucose Intolerance/ethnology, Glucose Intolerance/genetics, Glucose Intolerance/physiopathology, Insulin Receptor Substrate Proteins/blood, Insulin Receptor Substrate Proteins/genetics, Kruppel-Like Transcription Factors/genetics, 0301 basic medicine, Identification, [SDV]Life Sciences [q-bio], General Physics and Astronomy, Genome-wide association studies, Waist–hip ratio, LS4_5, RISK, ARCHITECTURE, Multidisciplinary, article, Type 2 diabetes, Multidisciplinary Sciences, MENDELIAN RANDOMIZATION, Pre-diabetes, Medical Genetics, Risk, PATHOPHYSIOLOGY, 030209 endocrinology & metabolism, 3121 Internal medicine, 692/163/2743/137/773, NO, Insulin resistance, Internal medicine, Diabetes mellitus, medicine, Mendelian randomization, 631/208/480, Medicinsk genetik, business.industry, General Chemistry, Impaired fasting glucose, business
Abstract

Differences between sexes contribute to variation in the levels of fasting glucose and insulin. Epidemiological studies established a higher prevalence of impaired fasting glucose in men and impaired glucose tolerance in women, however, the genetic component underlying this phenomenon is not established. We assess sex-dimorphic (73,089/50,404 women and 67,506/47,806 men) and sex-combined (151,188/105,056 individuals) fasting glucose/fasting insulin genetic effects via genome-wide association study meta-analyses in individuals of European descent without diabetes. Here we report sex dimorphism in allelic effects on fasting insulin at IRS1 and ZNF12 loci, the latter showing higher RNA expression in whole blood in women compared to men. We also observe sex-homogeneous effects on fasting glucose at seven novel loci. Fasting insulin in women shows stronger genetic correlations than in men with waist-to-hip ratio and anorexia nervosa. Furthermore, waist-to-hip ratio is causally related to insulin resistance in women, but not in men. These results position dissection of metabolic and glycemic health sex dimorphism as a steppingstone for understanding differences in genetic effects between women and men in related phenotypes., Sex differences in fasting glucose and insulin have been identified, but the genetic loci underlying these differences have not. Here, the authors perform a meta-analysis of genome-wide association studies to detect sex-specific and sex-dimorphic loci associated with fasting glucose and insulin.

Published
2021
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58. The variant call format and VCFtools.

Author

Petr Danecek, Adam Auton, Gonçalo R. Abecasis, Cornelis A. Albers, Eric Banks, Mark A. DePristo, Robert E. Handsaker, Gerton Lunter, Gabor T. Marth, Stephen T. Sherry, Gilean McVean, and Richard Durbin

Published
2011
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59. Genome-wide association study of liver fat, iron, and extracellular fluid fraction in the UK Biobank

Author

Johnathon R. Walls, Niek Verweij, Manuel A. R. Ferreira, Christian Benner, Nan Lin, Jonathan Marchini, Luca A. Lotta, Ashish Yadav, Gonçalo R. Abecasis, Jonas B. Nielsen, Mary Germino, Colm O'Dushlaine, Aris Baras, Joshua D. Backman, and Prodromos Parasoglou

Subjects
Genetics, ABO blood group system, Extracellular fluid, medicine, Genome-wide association study, Locus (genetics), Biology, medicine.disease, Gene, Phenotype, Exome, Hemochromatosis
Abstract

Abdominal magnetic resonance imaging (MRI) represents a non-invasive approach allowing the extraction of clinically informative phenotypes. We developed an automated pipeline to segment liver pixels from abdominal MRI images and apply published models to approximate fat fraction, extracellular fluid fraction and iron content in 40,058 MRIs from the UK Biobank. We then conducted a genome-wide association of these traits using imputed variants (N=37,250 individuals, 11,914,698 variants) and exome sequence data (N=35,274 individuals, 8,287,315 variants). For liver fat we identified 8 novel loci in or near genes MARC1, GCKR, ADH1B, MTTP, TRIB1, GPAM, PNPLA2 and APOH. For liver iron we identified 1 novel locus between the genes ASNSD1 and SLC40A1, an iron transporter involved in hemochromatosis. For extracellular fluid fraction we identified 6 novel loci in or near genes AGMAT, NAT2, MRPL4-S1PR2, FADS1, ABO and HFE, with almost all having prior associations to obesity, liver, iron, or lipid traits.

Published
2021
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60. Clonal hematopoiesis in sickle cell disease

Author

L. Alexander Liggett, Liam D. Cato, Joshua S. Weinstock, Yingze Zhang, S. Mehdi Nouraie, Mark T. Gladwin, Melanie E. Garrett, Allison Ashley-Koch, Marilyn J. Telen, Brian Custer, Shannon Kelly, Carla L. Dinardo, Ester C. Sabino, Paula Loureiro, Anna B. Carneiro-Proietti, Cláudia Maximo, Alexander P. Reiner, Gonçalo R. Abecasis, David A. Williams, Pradeep Natarajan, Alexander G. Bick, and Vijay G. Sankaran

Subjects
Male, Whole Genome Sequencing, Humans, Female, General Medicine, Anemia, Sickle Cell, Clonal Hematopoiesis
Abstract

BACKGROUNDCurative gene therapies for sickle cell disease (SCD) are currently undergoing clinical evaluation. The occurrence of myeloid malignancies in these trials has prompted safety concerns. Individuals with SCD are predisposed to myeloid malignancies, but the underlying causes remain undefined. Clonal hematopoiesis (CH) is a premalignant condition that also confers significant predisposition to myeloid cancers. While it has been speculated that CH may play a role in SCD-associated cancer predisposition, limited data addressing this issue have been reported.METHODSHere, we leveraged 74,190 whole-genome sequences to robustly study CH in SCD. Somatic mutation calling methods were used to assess CH in all samples and comparisons between individuals with and without SCD were performed.RESULTSWhile we had sufficient power to detect a greater than 2-fold increased rate of CH, we found no detectable variation in rate or clone properties between individuals affected by SCD and controls. The rate of CH in individuals with SCD was unaltered by hydroxyurea use.CONCLUSIONSWe did not observe an increased risk for acquiring detectable CH in SCD, at least as measured by whole-genome sequencing. These results should help guide ongoing efforts and further studies that seek to better define the risk factors underlying myeloid malignancy predisposition in SCD and help ensure that curative therapies can be more safely applied.FUNDINGNew York Stem Cell Foundation and the NIH.

Published
2021

61. Population-scale analysis of common and rare genetic variation associated with hearing loss in adults

Author

Shawn Mishra, Siying Chen, Manuel A. R. Ferreira, Brian Zambrowicz, Jeffrey Staples, Alexander Popov, Yu Bai, Arden Moscati, Alexandra Kaufman, Ariane H. Ayer, Meghan Drummond, Jonathan Marchini, Aris Baras, Janell Smith, Lauren Gurski, Kavita Praveen, Lee Dobbyn, Esteban Chen, Christian Benner, Olle Melander, Gonçalo R. Abecasis, Suganthi Balasubramanian, Marcus Herbert Jones, Giovanni Coppola, and Eli A. Stahl

Subjects
Genetics, education.field_of_study, Hearing loss, Serine Endopeptidases, Population, Genetic Variation, Membrane Proteins, Odds ratio, Biology, Genetic architecture, Neoplasm Proteins, symbols.namesake, Exome Sequencing, Genetic variation, Mendelian inheritance, symbols, Etiology, medicine, Humans, Exome, medicine.symptom, Hearing Loss, education, Exome sequencing, Genome-Wide Association Study
Abstract

Understanding the genetic underpinnings of disabling hearing loss, which affects ∼466 million people worldwide, can provide avenues for new therapeutic target development. We performed a genome-wide association meta-analysis of hearing loss with 125,749 cases and 469,497 controls across five cohorts, including UK Biobank, Geisinger DiscovEHR, the Malmö Diet and Cancer Study, Mount Sinai’s BioMe Personalized Medicine Cohort, and FinnGen. We identified 53 loci affecting hearing loss risk, 15 of which are novel, including common coding variants in COL9A3 and TMPRSS3. Through exome-sequencing of 108,415 cases and 329,581 controls from the same cohorts, we identified hearing loss associations with burden of rare coding variants in FSCN2 (odds ratio [OR] = 1.14, P = 1.9 × 10−15) and burden of predicted loss-of-function variants in KLHDC7B (OR = 2.14, P = 5.2 × 10−30). We also observed single-variant and gene-burden associations with 11 genes known to cause Mendelian forms of hearing loss, including an increased risk in heterozygous carriers of mutations in the autosomal recessive hearing loss genes GJB2 (Gly12fs; OR = 1.21, P = 4.2 × 10−11) and SLC26A5 (gene burden; OR = 1.96, P = 2.8 × 10−17). Our results suggest that loss of KLHDC7B function increases risk for hearing loss, and show that Mendelian hearing loss genes contribute to the burden of hearing loss in the adult population, suggesting a shared etiology between common and rare forms of hearing loss. This work illustrates the potential of large-scale exome sequencing to elucidate the genetic architecture of common traits in which risk is modulated by both common and rare variation.

Published
2021
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62. False discovery rates for genome-wide association tests in biobanks with thousands of phenotypes

Author

Sebastian Zöllner, Gonçalo R. Abecasis, Michael Boehnke, Matthew Zawistowski, Anita Pandit, Lars G. Fritsche, Peter VandeHaar, Jonathon LeFaive, Aubrey C. Annis, and Sarah A Gagliano Taliun

Subjects
Genome-wide association study, Computational biology, Biology, Phenotype, Biobank
Abstract

Biobanks housing genetic and phenotypic data for thousands of individuals introduce new opportunities and challenges for genetic association studies. Association testing across many phenotypes increases the multiple-testing burden and correlation between phenotypes makes appropriate multiple-testing correction uncertain. Moreover, analysis including low-frequency variants results in inflated type I error due to the much larger number of tests and the elevated importance of each individual minor allele carrier in those tests. Here we demonstrate that standard Bonferroni and permutation-based methods for multiple testing correction are inadequate for a holistic analysis of biobank data because ideal significance thresholds vary across datasets and minor allele frequencies. We propose a single-iteration permutation method that is computationally feasible and provides false discovery rate (FDR) estimates tailored to individual datasets and variant frequencies. Each dataset’s unique FDR estimates provide customized levels of confidence for association results and enable informed interpretation of genetic association studies across the phenome.

Published
2021
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63. Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT

Author

Ailin Falkmo Hansen, Amy M. Mason, Ketil Thorstensen, Sarah E. Graham, Kristian Hveem, Cristen J. Willer, Dipender Gill, Ben Michael Brumpton, Bjørn Olav Åsvold, Sarah A Gagliano Taliun, Jonas B. Nielsen, David Schlessinger, Lars G. Fritsche, Francesco Cucca, Stephen Burgess, Marta R Moksnes, Kuan-Han Wu, Wei Zhou, and Gonçalo R. Abecasis

Subjects
Genetics, chemistry.chemical_classification, medicine.diagnostic_test, Transferrin saturation, Iron deficiency, Biology, medicine.disease, chemistry, Total iron-binding capacity, Transferrin, Mendelian randomization, medicine, Serum iron, Biomarker (medicine), Genetic association
Abstract

Iron is essential for many biological processes, but iron levels must be tightly regulated to avoid harmful effects of both iron deficiency and overload. Here, we perform genome-wide association studies on four iron related biomarkers (serum iron, serum ferritin, transferrin saturation, total iron binding capacity) in the Trøndelag Health Study (HUNT), the Michigan Genomics Initiative (MGI) and the SardiNIA study, followed by their meta-analysis with publicly available summary statistics, analyzing up to 257 953 individuals. We identify 127 genetic loci associated with iron traits. Among 19 novel protein-altering variants, we observe a rare missense variant (rs367731784) in HUNT, which suggests a role for DNAJC13 in transferrin recycling. We further validate the latest genetic risk scores for each biomarker in HUNT (6% variance in serum iron explained) and present linear and non-linear Mendelian randomization analyses of the traits on all-cause mortality. We find evidence of a harmful effect of increased serum iron and transferrin saturation in linear analyses that estimate population-averaged effects. However, there was weak evidence of a protective effect of increasing serum iron at the very low end of its distribution. Our findings contribute to our understanding of the genes affecting iron status and its consequences on human health.

Published
2021
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64. Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT

Author

Marta R, Moksnes, Sarah E, Graham, Kuan-Han, Wu, Ailin Falkmo, Hansen, Sarah A, Gagliano Taliun, Wei, Zhou, Ketil, Thorstensen, Lars G, Fritsche, Dipender, Gill, Amy, Mason, Francesco, Cucca, David, Schlessinger, Gonçalo R, Abecasis, Stephen, Burgess, Bjørn Olav, Åsvold, Jonas B, Nielsen, Kristian, Hveem, Cristen J, Willer, and Ben M, Brumpton

Subjects
Iron, Ferritins, Transferrin, Humans, Polymorphism, Single Nucleotide, Biomarkers, Genome-Wide Association Study
Abstract

Iron is essential for many biological processes, but iron levels must be tightly regulated to avoid harmful effects of both iron deficiency and overload. Here, we perform genome-wide association studies on four iron-related biomarkers (serum iron, serum ferritin, transferrin saturation, total iron-binding capacity) in the Trøndelag Health Study (HUNT), the Michigan Genomics Initiative (MGI), and the SardiNIA study, followed by their meta-analysis with publicly available summary statistics, analyzing up to 257,953 individuals. We identify 123 genetic loci associated with iron traits. Among 19 novel protein-altering variants, we observe a rare missense variant (rs367731784) in HUNT, which suggests a role for DNAJC13 in transferrin recycling. We further validate recently published results using genetic risk scores for each biomarker in HUNT (6% variance in serum iron explained) and present linear and non-linear Mendelian randomization analyses of the traits on all-cause mortality. We find evidence of a harmful effect of increased serum iron and transferrin saturation in linear analyses that estimate population-averaged effects. However, there was weak evidence of a protective effect of increasing serum iron at the very low end of its distribution. Our findings contribute to our understanding of the genes affecting iron status and its consequences on human health.

Published
2021

65. Genetic and Functional Characterization of ANGPTL7 as a Therapeutic Target for Glaucoma

Author

Scott Waldron, Alexander H. Li, Joan O'Brien, Katia Karalis, Stefanie Lefebvre, Gaurang Patel, Silvio Alessandro Di Gioia, Kristi Krebs, Hua Yang, Dadong Li, Ariane Ayer, Wen Fury, Ying Hu, Eric Jorgenson, James McIninch, Olle Melander, Giusy Della Gatta, Trikaladarshi Persaud, Ben Michael Brumpton, Claudia Schurmann, Stefan Stender, Eli A. Stahl, Michael N. Cantor, Venkata Gudiseva, Aris Baras, Marcus B. Jones, Dylan Sun, Jonathan Weyne, Manuel A. R. Ferreira, Tavé van Zyl, Lauren Gurski, Rebecca Salowe, Esteban Chen, Sarah Hyde, Gonçalo R. Abecasis, Kavita Praveen, Anne Tybjærg-Hansen, Giovanni Coppola, Matthew Still, Venkata Chavali, Tanya M. Teslovich, Lili Milani, Aris N. Economides, Sabrina Walley, Sarthak Zaveri, Kristian Hveem, Jeremey Rabinowitz, Carmelo Romano, Lawrence Miloscio, Bjørn Olav Åsvold, Brijeshkumar Patel, Cristen J. Willer, Anne-Sofie Seidelin, and George D. Yancopoulos

Subjects
genetic structures, business.industry, medicine, Glaucoma, sense organs, Computational biology, medicine.disease, business, eye diseases
Abstract

Glaucoma is a leading cause of blindness. Current glaucoma medications work by lowering intraocular pressure (IOP), a risk factor for glaucoma, but most treatments do not directly target the pathological changes leading to increased IOP, which can manifest as medication resistance as disease progresses. To identify physiological modulators of IOP, we performed genome- and exome-wide association analysis in >129,000 individuals with IOP measurements and extended these findings to an analysis of glaucoma risk. We report the identification and functional characterization of rare coding variants (including loss-of-function variants) in ANGPTL7 associated with reduction in IOP and glaucoma protection. We validated the human genetics findings in mice by establishing that Angptl7 knockout mice have lower (~2 mmHg) basal IOP compared to wild-type, with a trend towards lower IOP also in heterozygotes. Conversely, increasing mAngptl7 levels via injection into mouse eyes increases the IOP. We also show that acute gene silencing via siRNA knockdown of Angptl7 in adult mice lowers the IOP (~2-4 mmHg), reproducing the observations in knockout mice. Collectively, our data suggest that ANGPTL7 is important for IOP homeostasis and is amenable to therapeutic modulation to help maintain a healthy IOP that can prevent onset or slow the progression of glaucoma.

Published
2021
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66. Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder

Author

Arianna DiFlorio, Patrick F. Sullivan, Sebastian Zöllner, Margarita Rivera, Richard M. Myers, Stanley J. Watson, Jun Li, Anders Juréus, Sarah E. Bergen, Gonçalo R. Abecasis, Jordan W. Smoller, Michael Conlon O'Donovan, Neil Risch, Hoang T. Nguyen, Chen Jiang, Xiaoming Jia, Mehdi Pirooznia, Danielle Posthuma, Adam E. Locke, Peter P. Zandi, John B. Vincent, Niamh Mullins, Duncan Palmer, Shaun Purcell, Gerome Breen, Christina M. Hultman, Andreas Reif, Khanh K. Thai, Virginia L. Willour, Pui-Yan Kwok, Laura J. Scott, Anne U. Jackson, Michael John Owen, Fernando S. Goes, Steven A. McCarroll, James B. Potash, Mikael Landén, Jennifer L. Moran, Michele T. Pato, Hyun Min Kang, Marco P. Boks, Sinéad B. Chapman, W. Richard McCombie, Janet L. Sobell, Matthew Zawistowski, Rolf Adolfsson, Yongwen Zhuang, Michael Boehnke, René S. Kahn, Huda Akil, James T.R. Walters, Margit Burmeister, Douglas Blackwood, Cathryn M. Lewis, Eli A. Stahl, Mark N. Kvale, Melissa DelaBastide, Catherine Schaefer, Benjamin M. Neale, Giulio Genovese, Carlos N. Pato, Nicholas John Craddock, Andrew McQuillin, Shawn Levy, Aiden Corvin, Pamela Sklar, Weiqing Wang, Andrew M. McIntosh, Ling Shen, Eric T. Monson, Derek W. Morris, Douglas M. Ruderfer, Roel A. Ophoff, Peter McGuffin, Sarah Cohen-Woods, Willem H. Ouwehand, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Goes, Fernando S [0000-0001-6262-8264], Locke, Adam E [0000-0001-6227-198X], Palmer, Duncan [0000-0002-0824-0047], Wang, Weiqing [0000-0003-1565-0148], Genovese, Giulio [0000-0003-3066-5575], Jackson, Anne U [0000-0002-9672-2547], Nguyen, Hoang [0000-0001-6910-7269], Pirooznia, Mehdi [0000-0002-4210-6458], Zawistowski, Matthew [0000-0002-3005-083X], Abecasis, Gonçalo [0000-0003-1509-1825], Bergen, Sarah [0000-0002-5888-0034], Burmeister, Margit [0000-0002-1914-2434], Kwok, Pui-Yan [0000-0002-5087-3059], Li, Jun Z [0000-0001-6727-0812], Levy, Shawn E [0000-0002-1369-5740], Watson, Stanley [0000-0003-4980-5523], Blackwood, Douglas [0000-0002-4076-9346], Boehnke, Michael [0000-0002-6442-7754], Breen, Gerome [0000-0003-2053-1792], Landen, Mikael [0000-0002-4496-6451], Lewis, Cathryn [0000-0002-8249-8476], McCarroll, Steven A [0000-0002-6954-8184], McIntosh, Andrew [0000-0002-0198-4588], McQuillin, Andrew [0000-0003-1567-2240], Morris, Derek [0000-0002-3413-570X], O'Donovan, Michael [0000-0001-7073-2379], Boks, Marco [0000-0001-6163-7484], Kahn, Rene [0000-0001-5909-8004], Ouwehand, Willem [0000-0002-7744-1790], Owen, Michael [0000-0003-4798-0862], Potash, James B [0000-0002-5802-8079], Reif, Andreas [0000-0002-0992-634X], Vincent, John [0000-0003-0692-2519], Neale, Benjamin [0000-0003-1513-6077], Purcell, Shaun [0000-0002-7402-5812], Schaefer, Catherine [0000-0003-2644-055X], Stahl, Eli A [0000-0002-1192-0561], Zandi, Peter P [0000-0001-8423-2623], Scott, Laura J [0000-0002-4886-5084], Apollo - University of Cambridge Repository, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Digital Health

Subjects
Bipolar Disorder, Genome-wide association study, Biology, Medical and Health Sciences, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Clinical Research, Genetic variation, medicine, Genetics, 2.1 Biological and endogenous factors, Humans, Exome, Genetic Predisposition to Disease, Bipolar disorder, Polymorphism, Molecular Biology, Gene, 030304 developmental biology, Medicinsk genetik, Psychiatry, 0303 health sciences, Prevention, Human Genome, Psychology and Cognitive Sciences, Genetic Variation, Single Nucleotide, Heritability, Biological Sciences, medicine.disease, Serious Mental Illness, Phenotype, 3. Good health, Brain Disorders, Psychiatry and Mental health, Mental Health, Schizophrenia, Medical Genetics, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Bipolar disorder (BD) is a serious mental illness with substantial common variant heritability. However, the role of rare coding variation in BD is not well established. We examined the protein-coding (exonic) sequences of 3,987 unrelated individuals with BD and 5,322 controls of predominantly European ancestry across four cohorts from the Bipolar Sequencing Consortium (BSC). We assessed the burden of rare, protein-altering, single nucleotide variants classified as pathogenic or likely pathogenic (P-LP) both exome-wide and within several groups of genes with phenotypic or biologic plausibility in BD. While we observed an increased burden of rare coding P-LP variants within 165 genes identified as BD GWAS regions in 3,987 BD cases (meta-analysis OR = 1.9, 95% CI = 1.3–2.8, one-sided p = 6.0 × 10−4), this enrichment did not replicate in an additional 9,929 BD cases and 14,018 controls (OR = 0.9, one-side p = 0.70). Although BD shares common variant heritability with schizophrenia, in the BSC sample we did not observe a significant enrichment of P-LP variants in SCZ GWAS genes, in two classes of neuronal synaptic genes (RBFOX2 and FMRP) associated with SCZ or in loss-of-function intolerant genes. In this study, the largest analysis of exonic variation in BD, individuals with BD do not carry a replicable enrichment of rare P-LP variants across the exome or in any of several groups of genes with biologic plausibility. Moreover, despite a strong shared susceptibility between BD and SCZ through common genetic variation, we do not observe an association between BD risk and rare P-LP coding variants in genes known to modulate risk for SCZ., International Bipolar Sequencing Consortium (NIMH) R01 MH 110437, Whole Genome Sequencing for Schizophrenia and Biopolar Disorder in the GPS (NIMH) UO1 MH105653, Whole Genome and Exome Sequencing for Bipolar Disorder (NIMH) R01 MH 094145, Multi-ethnic GWAS of Bipolar I Disorder (NIH) R01 MH 085543, Genetic Epidemiology Research in Adult Health and Aging (GERA) RC2 AG036607, Kaiser Permanente Research Program on Genes, Environment, and Health, Rare Bipolar Loci Identification Through Synaptome Sequencing (NIMH) R01 MH 087979 MH 087992, 2/2 Large Scale Genetic Studies of Schizophrenia in Sweden R01MH095034, 1/3 Genetic Analysis of the International Cohort Collection for Bipolar Disorder R01MH106531, 1/2 Large Scale Genetic Studies of Schizophrenia in Sweden R01MH077139, 2/3 Genetic Analysis of the International Cohort Collection for Bipolar Disorder R01MH106527, Dalio Foundation

Published
2021
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67. Exploring and visualizing large-scale genetic associations by using PheWeb

Author

Ryan P. Welch, Ellen M. Schmidt, Jonas B. Nielsen, Peter VandeHaar, Cristen J. Willer, Andrew P. Boughton, Gonçalo R. Abecasis, Daniel Taliun, Wei Zhou, Lars G. Fritsche, Michael Boehnke, Seunggeun Lee, and Sarah A Gagliano Taliun

Subjects
Scale (ratio), business.industry, Extramural, Data Visualization, MEDLINE, Genome-wide association study, Computational biology, Biology, Polymorphism, Single Nucleotide, Article, User-Computer Interface, Data visualization, Urinary Bladder Neoplasms, Genetics, Humans, business, Software, Genome-Wide Association Study
Published
2020
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68. Patients With High Genome-Wide Polygenic Risk Scores for Coronary Artery Disease May Receive Greater Clinical Benefit From Alirocumab Treatment in the ODYSSEY OUTCOMES Trial

Author

Sibylle Hess, Charles Paulding, Catherine Boileau, M. John Chapman, Luca A. Lotta, Garen Manvelian, George D. Yancopoulos, Michael Szarek, Gonçalo R. Abecasis, Emil Hagström, Aris Baras, Sotirios Tsimikas, Robert Pordy, Henry N. Ginsberg, Amy Damask, P. Gabriel Steg, Poulabi Banerjee, Gregory G. Schwartz, Lina Badimon, and John D. Overton

Subjects
Male, Multifactorial Inheritance, medicine.medical_specialty, polygenic inheritance, Hypercholesterolemia, Coronary Artery Disease, 030204 cardiovascular system & hematology, Antibodies, Monoclonal, Humanized, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Double-Blind Method, Risk Factors, cardiovascular disease, Physiology (medical), Internal medicine, genomics, medicine, Humans, risk factors, genetics, cardiovascular diseases, subtilisin-kexin type 9, Aged, Proportional Hazards Models, 030304 developmental biology, Alirocumab, pharmacogenomics, 0303 health sciences, business.industry, Anticholesteremic Agents, PCSK9, PCSK9 Inhibitors, Cholesterol, LDL, Middle Aged, Placebo Effect, Proprotein convertase, medicine.disease, Cardiovascular Diseases, Pharmacogenomics, proprotein convertase, Kexin, Female, Polygenic risk score, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Proprotein Convertase 9, Cardiology and Cardiovascular Medicine, business, Mace
Abstract

Background: Alirocumab, an antibody that blocks PCSK9 (proprotein convertase subtilisin/kexin type 9), was associated with reduced major adverse cardiovascular events (MACE) and death in the ODYSSEY OUTCOMES trial (Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab). In this study, higher baseline levels of low-density lipoprotein cholesterol (LDL-C) predicted greater benefit from alirocumab treatment. Recent studies indicate high polygenic risk scores (PRS) for coronary artery disease (CAD) identify individuals at higher risk who derive increased benefit from statins. We performed post hoc analyses to determine whether high PRS for CAD identifies higher-risk individuals, independent of baseline LDL-C and other known risk factors, who might derive greater benefit from alirocumab treatment. Methods: ODYSSEY OUTCOMES was a randomized, double-blind, placebo-controlled trial comparing alirocumab or placebo in 18 924 patients with acute coronary syndrome and elevated atherogenic lipoproteins despite optimized statin treatment. The primary endpoint (MACE) comprised death of CAD, nonfatal myocardial infarction, ischemic stroke, or unstable angina requiring hospitalization. A genome-wide PRS for CAD comprising 6 579 025 genetic variants was evaluated in 11 953 patients with available DNA samples. Analysis of MACE risk was performed in placebo-treated patients, whereas treatment benefit analysis was performed in all patients. Results: The incidence of MACE in the placebo group was related to PRS for CAD: 17.0% for high PRS patients (>90th percentile) and 11.4% for lower PRS patients (≤90th percentile; P P =0.004) versus a 13% reduction in the low PRS group (hazard ratio, 0.87 [95% CI, 0.78–0.98]; P =0.022; interaction P =0.04). Conclusions: A high PRS for CAD is associated with elevated risk for recurrent MACE after acute coronary syndrome and a larger absolute and relative risk reduction with alirocumab treatment, providing an independent tool for risk stratification and precision medicine.

Published
2020
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69. Meta‐MultiSKAT: Multiple phenotype meta‐analysis for region‐based association test

Author

Joshua S. Weinstock, Matthew Zawistowski, Lars G. Fritsche, Gonçalo R. Abecasis, Sarah A Gagliano Taliun, Francesco Cucca, Chad M. Brummett, David Schlessinger, Carlo Sidore, Seunggeun Lee, and Diptavo Dutta

Subjects
Genotype, Epidemiology, Omnibus test, Genomics, Computational biology, Biology, Article, Correlation, 03 medical and health sciences, Gene Frequency, Meta-Analysis as Topic, Region of interest, Leukocytes, Humans, Genetic Association Studies, Genetics (clinical), 030304 developmental biology, Genetic association, 0303 health sciences, Models, Genetic, 030305 genetics & heredity, Phenotype, Italy, Meta-analysis, Mutation, Kernel regression
Abstract

The power of genetic association analyses can be increased by jointly meta-analyzing multiple correlated phenotypes. Here, we develop a meta-analysis framework, Meta-MultiSKAT, that uses summary statistics to test for association between multiple continuous phenotypes and variants in a region of interest. Our approach models the heterogeneity of effects between studies through a kernel matrix and performs a variance component test for association. Using a genotype kernel, our approach can test for rare-variants and the combined effects of both common and rare-variants. To achieve robust power, within Meta-MultiSKAT, we developed fast and accurate omnibus tests combining different models of genetic effects, functional genomic annotations, multiple correlated phenotypes, and heterogeneity across studies. In addition, Meta-MultiSKAT accommodates situations where studies do not share exactly the same set of phenotypes or have differing correlation patterns among the phenotypes. Simulation studies confirm that Meta-MultiSKAT can maintain the type-I error rate at the exome-wide level of 2.5 × 10-6 . Further simulations under different models of association show that Meta-MultiSKAT can improve the power of detection from 23% to 38% on average over single phenotype-based meta-analysis approaches. We demonstrate the utility and improved power of Meta-MultiSKAT in the meta-analyses of four white blood cell subtype traits from the Michigan Genomics Initiative (MGI) and SardiNIA studies.

Published
2019
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70. The HUNT study: A population-based cohort for genetic research

Author

Ben M. Brumpton, Sarah Graham, Ida Surakka, Anne Heidi Skogholt, Mari Løset, Lars G. Fritsche, Brooke Wolford, Wei Zhou, Jonas Bille Nielsen, Oddgeir L. Holmen, Maiken E. Gabrielsen, Laurent Thomas, Laxmi Bhatta, Humaira Rasheed, He Zhang, Hyun Min Kang, Whitney Hornsby, Marta R. Moksnes, Eivind Coward, Mads Melbye, Guro F. Giskeødegård, Jørn Fenstad, Steinar Krokstad, Marit Næss, Arnulf Langhammer, Michael Boehnke, Gonçalo R. Abecasis, Bjørn Olav Åsvold, Kristian Hveem, and Cristen J. Willer

Subjects
biobank, electronic health records, genetic epidemiology, longitudinal, big data, complex disease, public health, cardiovascular health, genetics, omics
Abstract

SummaryThe Trøndelag Health Study (HUNT) is a population-based cohort of ∼229,000 individuals recruited in four waves beginning in 1984 in Trøndelag County, Norway. ∼88,000 of these individuals have available genetic data from array genotyping. HUNT participants were recruited during 4 community-based recruitment waves and provided information on health-related behaviors, self-reported diagnoses, family history of disease, and underwent physical examinations. Linkage via the Norwegian personal identification number integrates digitized health care information from doctor visits and national health registries including death, cancer and prescription registries. Genome-wide association studies of HUNT participants have provided insights into the mechanism of cardiovascular, metabolic, osteoporotic and liver-related diseases, among others. Unique features of this cohort that facilitate research include nearly 40 years of longitudinal follow-up in a motivated and well-educated population, family data, comprehensive phenotyping, and broad availability of DNA, RNA, urine, fecal, plasma, and serum samples.

Published
2022
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72. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals

Author

Martin I. Jones, Joseph D. Szustakowski, Giorgio Sirugo, Lukas Habegger, Adam J. Mansfield, Will Salerno, Joshua D. Backman, Athanasios Kousathanas, David J. Carey, Yi-Pin Lai, James F. Wilson, Alison M. Meynert, Anne E. Justice, Alexander H. Li, Jack A. Kosmicki, Anthony Marcketta, Sándor Szalma, Shane McCarthy, A. R. Shuldiner, A. Baras, Daniel J. Rader, Michael N. Cantor, Ashish Yadav, Manuel A. R. Ferreira, F. S. P. Kury, Konrad Rawlik, Loukas Moutsianas, Gonçalo R. Abecasis, Susan P. Walker, Xing Chen, Albert Tenesa, Paul Nioi, Adam E. Locke, Guillaume Butler-Laporte, E. N. Smith, Richard H Scott, Gundula Povysil, Joseph B. Leader, Lauren Gurski, Dorota Pasko, Marylyn D. Ritchie, A. Cordova-Palomera, Kyoko Watanabe, Colm O'Dushlaine, A. O'Neill, Tomoko Nakanishi, Erola Pairo-Castineira, Xiuwen Zheng, Emily Wong, Jeffrey G. Reid, Slavé Petrovski, Julie E. Horowitz, Anurag Verma, Justin W. Davis, Dylan Sun, Sahar Esmaeeli, Heiko Runz, Quanli Wang, John D. Overton, Shareef Khalid, Tooraj Mirshahi, Evan Maxwell, Mark J. Caulfield, Mark Lathrop, Olympe Chazara, Deepika Sharma, David Goldstein, Jonathan Marchini, Xiaodong Bai, Suganthi Balasubramanian, Krzysztof Kiryluk, Nilanjana Banerjee, Rouel Lanche, J. B. Richards, Hyun Min Kang, J. K. Baillie, Yunfeng Huang, Sean O'Keeffe, Erika Kvikstad, Margaret M. Parker, and Joelle Mbatchou

Subjects
Male, 0301 basic medicine, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Biology, 03 medical and health sciences, Current sample, 0302 clinical medicine, Data sequences, Report, Exome Sequencing, Genetics, Humans, Exome, Genetic Predisposition to Disease, 030212 general & internal medicine, Gene, Genetics (clinical), SARS-CoV-2, COVID-19, Prognosis, Hospitalization, 030104 developmental biology, Sample Size, Multiple comparisons problem, Susceptibility locus, Female, Interferons
Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a respiratory illness that can result in hospitalization or death. We used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome wide or when specifically focusing on (1) 13 interferon pathway genes in which rare deleterious variants have been reported in individuals with severe COVID-19, (2) 281 genes located in susceptibility loci identified by the COVID-19 Host Genetics Initiative, or (3) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, and results are publicly available through the Regeneron Genetics Center COVID-19 Results Browser.

Published
2021
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74. Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank

Author

Lukas Habegger, Max Orelus, Marcus B. Jones, Anurag Verma, Aris Economides, Shareef Khalid, William J Salerno, Adam J. Mansfield, Luca A. Lotta, Maria Sotiropoulos Padilla, Louis Widom, Michael Cantor, Giovanni Coppola, Katherine L. Nathanson, Suganthi Balasubramanian, Razvan Panea, John D. Overton, Alicia Hawes, Anh D. Le, Jeffrey C. Staples, Danielle L. Mowery, Jason Mighty, Kara N. Maxwell, Renae Judy, Andrew Blumenfeld, Manasi Pradhan, Peter Gabriel, Heena Desai, Caitlin Forsythe, Jeffrey G. Reid, Lyndon J. Mitnaul, Christina Beechert, Xiaodong Bai, Olga Krasheninina, Zhenhua Gu, Abigail Doucette, Mrunali Nafde, Boris Boutkov, Kia Manoochehri, Marylyn D. Ritchie, Tommy Polanco, Rouel Lanche, Alexander E. Lopez, Ryan Hausler, Alan R. Shuldiner, Sarah E. Wolf, Thomas D. Schleicher, Gisu Eom, Shefali S. Verma, Sean O’Keeffe, Ayesha Rasool, Rachel L. Kember, Evan Maxwell, Michael Lattari, Erin D. Fuller, Scott M. Damrauer, Ricardo H. Ulloa, Gonçalo R. Abecasis, Louise Wang, and Aris Baras

Subjects
Gerontology, business.industry, Medicine, Cancer, Polygenic risk score, business, medicine.disease, Biobank
Abstract

PurposeGenome-wide association studies (GWAS) have identified hundreds of single nucleotide polymorphisms (SNPs) significantly associated with several cancers, but the predictive ability of polygenic risk scores (PRS) is unclear, especially among non-Whites.MethodsGenome-wide genotype data was available for 20,079 individuals enrolled in an academic biobank. PRS were derived from significant DNA variants for 15 cancers. We determined the discriminatory accuracy of each cancer-specific PRS in patients of genetically-determined African and European ancestry separately.ResultsAmong individuals of European genetic ancestry, PRS for breast, colon, melanoma, and prostate were significantly associated with their respective cancers (OR 1.25-1.47). Among individuals of African genetic ancestry, PRS for breast, colon, and prostate were significantly associated with their respective cancers. The AUC of a model comprised of age, sex, and principal components was 0.617–0.709 and increased by 1-4% with the PRS in individuals of European genetic ancestry. In individuals of African genetic ancestry, AUC was overall higher in the model without PRS (0.740-0.811) but increased < 1% with the PRS in the majority of cancers.ConclusionPRS constructed from SNPs moderately increased discriminatory ability for cancer status in individuals of European but not African ancestry. Further large-scale studies are needed to identify ancestry-specific genetic factors in non-White populations to incorporate PRS into cancer risk assessment.

Published
2021
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75. Sparse allele vectors and the savvy software suite

Author

Albert V. Smith, Jonathon LeFaive, Hyun Min Kang, and Gonçalo R. Abecasis

Subjects
Statistics and Probability, 0303 health sciences, Software suite, Command-line interface, Computer science, Serialization, 030302 biochemistry & molecular biology, File format, computer.software_genre, Biochemistry, Applications Notes, Computer Science Applications, 03 medical and health sciences, Computational Mathematics, Computational Theory and Mathematics, Operating system, Analysis software, Molecular Biology, Throughput (business), computer, Computer memory, 030304 developmental biology, Complement (set theory)
Abstract

Summary The sparse allele vectors file format is an efficient storage format for large-scale DNA variation data and is designed for high throughput association analysis by leveraging techniques for fast deserialization of data into computer memory. A command line interface has been developed to complement the storage format and supports basic features like importing, exporting and subsetting. Additionally, a C++ programming API is available allowing for easy integration into analysis software. Availability and implementation https://github.com/statgen/savvy. Supplementary information Supplementary data are available at Bioinformatics online.

Published
2021

76. The trans-ancestral genomic architecture of glycemic traits

Author

Albertine J. Oldehinkel, Wieland Kiess, Xueling Sim, Norihiro Kato, Philippe Froguel, Astrid van Hylckama Vlieg, Josée Dupuis, Nanette R. Lee, Symen Ligthart, Harry Campbell, Marta E. Alarcón-Riquelme, P. Eline Slagboom, Massimo Mangino, Tian Xie, Niek Verweij, James B. Meigs, Chaolong Wang, Michael Y. Tsai, Erik Ingelsson, Colin N. A. Palmer, Erik B. van den Akker, Fumihiko Matsuda, Rainer Rauramaa, Yi-Cheng Chang, Lars Lind, Stefan R. Bornstein, Mandy Vogel, Sven Bergmann, Ya X. Wang, Ching-Ti Liu, Annette Schürmann, Michael Boehnke, David J. Porteous, Kazuya Setoh, Qibin Qi, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Claire J. Steves, Jun Liu, Leslie A. Lange, Noël P. Burtt, Diana Kuh, Cassandra N. Spracklen, Ken K. Ong, Charumathi Sabanayagam, Jost B. Jonas, Ele Ferrannini, Lawrence J. Beilin, Qing Duan, Blair H. Smith, Isobel D. Stewart, Alexander P. Reiner, Simon P. Mooijaart, Tim D. Spector, Paul W. Franks, E. Shyong Tai, Mark I. McCarthy, Anna L. Gloyn, D.I. Boomsma, Dennis Raven, Nicholas J. Timpson, Rona J. Strawbridge, George Dedoussis, Susan Redline, Jaeyoung Hong, Harald Grallert, Jagadish Vangipurapu, Rico Rueedi, Diane M. Becker, Marian Beekman, Claudia P. Cabrera, Johannes Waage, Jin Fang Chai, Yii-Der Ida Chen, Graciela E. Delgado, Thibaud S. Boutin, Yang Hai, Yoriko Heianza, Wei Zhao, Andres Metspalu, Tien Yin Wong, Mila Desi Anasanti, Inger Njølstad, Hans Bisgaard, Valeriya Lyssenko, Denis Rybin, Wanqing Wen, Torben Hansen, James F. Wilson, Sameline Grimsgaard, Annette Peters, Michele K. Evans, Damia Noce, Sarah C. Nelson, May E. Montasser, Nan Wang, Geltrude Mingrone, Gudny Eiriksdottir, Nicholas J. Wareham, Fouad Kandeel, Linda S. Adair, Kelvin Lam, Jaana Lindström, Eco J. C. de Geus, Debbie A Lawlor, Sara M. Willems, Xu Lin, Harold Snieder, Matt J. Neville, Naveed Sattar, Chelsea K. Raulerson, Paul M. Ridker, Jer-Yuarn Wu, Weihua Zhang, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Elena Tremoli, Toru Nabika, Jing Hua Zhao, Vilmundur Gudnason, Tao Huang, Robert C. Kaplan, Sohee Han, Mohammad Hadi Zafarmand, Aaron Leong, Yen-Feng Chiu, Kumaraswamy Naidu Chitrala, Ivana Kolcic, Franco Giulianini, Tao Wang, Lu Qi, Stephan J. L. Bakker, Laura J Corbin, Zoltán Kutalik, Bruna Gigante, Willa A. Hsueh, Peter J. van der Most, Tin Louie, Yujie Wang, Stella Trompet, Fernando Rivideneira, Yasumasa Ohyagi, Lynne E. Wagenknecht, Jerry L. Nadler, Michael Stumvoll, Mark O. Goodarzi, Sahoko Ichihara, Jeffrey R. O'Connell, Tomohiro Katsuya, Giorgio Pistis, Alice Stanton, Sirkka Keinänen-Kiukaanniemi, Momoko Horikoshi, Honglan Li, Tanja G. M. Vrijkotte, Caroline Hayward, Karen L. Mohlke, Carola Marzi, Girish N. Nadkarni, Laura J. Rasmussen-Torvik, Alain G. Bertoni, Andrew R. Wood, Annique Claringbould, Mi Yeong Hwang, Hugh Watkins, Heikki A. Koistinen, Mattias Frånberg, Jani Heikkinen, Elizabeth Selvin, Donald W. Bowden, Abbas Dehghan, Christian Fuchsberger, Audrey Y. Chu, Kent D. Taylor, Katherine A. Kentistou, Johanna Kuusisto, Jingyi Tan, Huaixing Li, Eric Boerwinkle, Catharina A. Hartman, Archie Campbell, Kari E. North, Oluf Pedersen, Sölve Elmståhl, Emil V. R. Appel, Chang-Hsun Hsieh, Dennis O. Mook-Kanamori, Rob M. van Dam, Pontiano Kaleebu, Corri Black, Jennifer A. Brody, Bengt Sennblad, Shaofeng Huo, M. Larissa Avilés-Santa, Ruth J. F. Loos, Patricia B. Munroe, Chien-Hsiun Chen, Liang Sun, Zorayr Arzumanyan, Rebecca Rohde, Yasuharu Tabara, Albert V. Smith, Betina H. Thuesen, Niels Grarup, Jorgen Engmann, Tatijana Zemunik, M. Arfan Ikram, Marit E. Jørgensen, Christian Herder, Ching-Yu Cheng, Serena Sanna, Damiano Baldassarre, Tarunveer S. Ahluwalia, Mark J. Caulfield, Anne Ndungu, Carl D. Langefeld, Lisa R. Yanek, Luigi Ferrucci, Ananda R. Wickremasinghe, Raymond Noordam, Trevor A. Mori, Tom Wilsgaard, Mika Kivimäki, Rita R. Kalyani, Alan B. Zonderman, Veronique Vitart, Patricia A. Peyser, Shuiqing Lai, Richa Saxena, Li-Ching Chang, Karin Leander, Wei Huang, Peter Vollenweider, Tanya M. Teslovich, Ying Wu, Shufa Du, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Stephen C. J. Parker, Tamar Sofer, Winfried März, Sharon L.R. Kardia, Peter K. Joshi, Neil R. Robertson, Anny H. Xiang, Fumihiko Takeuchi, N. Amin, Jouke-Jan Hottenga, Carol A. Wang, Stefan Gustafsson, Jung Ho Gong, Penny Gordon-Larsen, Yu-Tang Gao, Abhishek Nag, Gonneke Willemsen, Michael A. Province, Aliki-Eleni Farmaki, Segun Fatumo, Antje Körner, Pim van der Harst, Marie Loh, Kei Hang Katie Chan, Gonçalo R. Abecasis, Nicholette D. Palmer, Simin Liu, Ishminder K. Kooner, Javier Gayán, Arne Astrup, Laura J. Scott, Erwin P. Bottinger, Andrew Wong, Inga Prokopenko, Ping An, Markku Laakso, Matthias Blüher, Susan R. Heckbert, Thomas A. Buchanan, Tatsuaki Matsubara, Andrew P. Morris, Brian H. Chen, Kristi Läll, Teresa Tusie, Timo A. Lakka, Jie Yao, Michael Preuss, Teemu Kuulasmaa, Carlos Lorenzo, Stephen S. Rich, Marie Lauzon, Laura M. Raffield, Pankow S. James, Takahisa Kawaguchi, Kathleen A. Ryan, Wei Zheng, Igor Rudan, Thomas Sparsø, Hugoline G. de Haan, Sandosh Padmanabhan, Richard M. Watanabe, Alicia Huerta-Chagoya, Anette P. Gjesing, Andrew A. Hicks, Richard N. Bergman, Mitsuhiro Yokota, Heather M. Stringham, Bruce M. Psaty, Jian'an Luan, Anuj Goel, Eleanor Wheeler, Masahiro Nakatochi, Young-Jin Kim, Xiao-Ou Shu, Mickaël Canouil, Robert A. Scott, Marika Kaakinen, Mari Nelis, Adolfo Correa, Jaspal S. Kooner, Michiya Igase, Anubha Mahajan, Peter E. H. Schwarz, Craig E. Pennell, Claudia Schurmann, Xiaoran Chai, Ji Chen, Lori L. Bonnycastle, Peter S. Sever, Thorkild I. A. Sørensen, André G. Uitterlinden, Ilja M. Nolte, Gaëlle Marenne, Timothy M. Frayling, Bong-Jo Kim, Kerrin S. Small, Cecilia M. Lindgren, Bernhard O. Böhm, Shih-Yi Lin, Katharina E. Schraut, Cornelia M. van Duijn, Sanghoon Moon, Mark Walker, Chiea Chuen Khor, Ruifang Li-Gao, Qiuyin Cai, Neil Schneiderman, Ko Willems van Dijk, Ozren Polasek, W. Craig Johnson, Dermot F. Reilly, Inês Barroso, Anke Tönjes, Manjinder S. Sandhu, Wen B. Wei, Jose C. Florez, Lorraine Southam, Leif Groop, Lawrence F. Bielak, Peter Kovacs, Jianjun Liu, Jouko Saramies, Helen R. Warren, Man Li, Daniel I. Chasman, Eleftheria Zeggini, Xiaoshuai Zhang, Loic Yengo, Shi Jinxiu, Jirong Long, Xiuqing Guo, Meena Kumari, Leslie J. Raffel, Jill M. Norris, Henrik Vestergaard, Jing He, Peter P. Pramstaller, Diana van Heemst, Kevin Sandow, Marjo-Ritta Jarvelin, Carlos A. Aguilar-Salinas, Peitao Wu, Hortensia Moreno-Macías, Jerome I. Rotter, Kathryn Roll, Frits R. Rosendaal, Bernardo L. Horta, Heming Wang, Fernando Pires Hartwig, Richard A. Jensen, Matti Uusitupa, Rozenn N. Lemaitre, Paul R. H. J. Timmers, Timo Saaristo, Jaakko Tuomilehto, Reedik Mägi, Debashree Ray, J. Wouter Jukema, Claudia Langenberg, Marcus E. Kleber, Francis S. Collins, Klaus Bønnelykke, Lenore J. Launer, Arushi Varshney, Anders Hamsten, European Commission, Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO)-Université de Brest (UBO)-EFS-Institut National de la Santé et de la Recherche Médicale (INSERM), Sanger Institute, Wellcome Trust, Marenne, Gaëlle [0000-0002-4363-7170], Varshney, Arushi [0000-0001-9177-9707], Corbin, Laura J [0000-0002-4032-9500], Parker, Stephen CJ [0000-0001-8122-0117], Langenberg, Claudia [0000-0002-5017-7344], Wheeler, Eleanor [0000-0002-8616-6444], Morris, Andrew P [0000-0002-6805-6014], Barroso, Inês [0000-0001-5800-4520], Apollo - University of Cambridge Repository, Lifelines Cohort Study, Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC), de Haan, H.G., van den Akker, E., van der Most, P.J., de Geus, EJC, van Dam, R.M., van Heemst, D., van Hylckama Vlieg, A., van Willems van Dijk, K., de Silva, H.J., van der Harst, P., van Duijn, C., Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institute for Molecular Medicine Finland, Leif Groop Research Group, HUS Internal Medicine and Rehabilitation, Department of Medicine, Department of Biochemistry and Developmental Biology, Helsinki University Hospital Area, University of Helsinki, Clinicum, Department of Public Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Physiology, AMS - Musculoskeletal Health, AMS - Tissue Function & Regeneration, APH - Mental Health, Nutrition and Health, APH - Methodology, Epidemiology and Data Science, ACS - Atherosclerosis & ischemic syndromes, APH - Aging & Later Life, ARD - Amsterdam Reproduction and Development, Public and occupational health, Epidemiology, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Center for Liver, Digestive and Metabolic Diseases (CLDM), and Cardiovascular Centre (CVC)

Subjects
Blood Glucose, Disease risk, Multifactorial Inheritance, Glycated Hemoglobin A, [SDV]Life Sciences [q-bio], Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC), LOCI, Genome-wide association study, Type 2 diabetes, VARIANTS, GLUCOSE, Epigenesis, Genetic, chemistry.chemical_compound, 0302 clinical medicine, Mechanisms, WIDE ASSOCIATION, genetics, Gene-expression, HEMOGLOBIN, ComputingMilieux_MISCELLANEOUS, 11 Medical and Health Sciences, GENE-EXPRESSION, Genetics, Genetics & Heredity, 0303 health sciences, INSULIN-RESISTANCE, Genome, Loci, 1184 Genetics, developmental biology, physiology, Variants, ALSPAC, Physical Chromosome Mapping, Life Sciences & Biomedicine, Human, Quantitative Trait Loci, Wide association study, Biology, Quantitative trait locus, Article, White People, diseases, MECHANISMS, Quantitative Trait, 03 medical and health sciences, Insulin resistance, Quantitative Trait, Heritable, SDG 3 - Good Health and Well-being, Genetic, Lifelines Cohort Study, Diabetes mellitus, medicine, Humans, Hemoglobin, Heritable, METAANALYSIS, Alleles, 030304 developmental biology, Genetic association, Glycemic, Glycated Hemoglobin, Science & Technology, Genome, Human, Whites, Gene Expression Profiling, DISEASE RISK, Settore MED/13 - ENDOCRINOLOGIA, Insulin-resistance, 06 Biological Sciences, medicine.disease, Glucose, chemistry, Blood Glucose/genetics, European Continental Ancestry Group/genetics, Genome-Wide Association Study, Glycated Hemoglobin A/metabolism, Multifactorial Inheritance/genetics, Quantitative Trait Loci/genetics, Glycated hemoglobin, 030217 neurology & neurosurgery, Meta analysis, Epigenesis, Developmental Biology
Abstract

Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P-8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.

Published
2021
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77. Robust, flexible, and scalable tests for Hardy–Weinberg equilibrium across diverse ancestries

Author

Nicholas L. Smith, Alan M. Kwong, Gonçalo R. Abecasis, Jennifer A. Smith, Celeste Eng, Charles Kooperberg, John Barnard, L. Adrienne Cupples, Ani Manichaikul, Wonji Kim, Dan M. Roden, Nicholette D. Palmer, M. Benjamin Shoemaker, Eric Boerwinkle, Michael Boehnke, John Blangero, Marguerite R. Irvin, Hemant K. Tiwari, Albert V. Smith, Alexander P. Reiner, Daniel E. Weeks, Tanika N. Kelly, Mariza de Andrade, Steven A. Lubitz, Laura J. Scott, Kathleen C. Barnes, Esteban G. Burchard, Han Chen, Scott T. Weiss, May E. Montasser, Yan Gao, Angel C.Y. Mak, Brian E. Cade, Thomas W. Blackwell, Courtney G. Montgomery, Solomon K. Musani, Xiuqing Guo, Daniel I. Chasman, Gina M. Peloso, Jessica Su, Hyun Min Kang, Dandi Qiao, Matthew P. Conomos, Patrick T. Ellinor, Jonathon LeFaive, and Rasika A. Mathias

Subjects
Genotype, Population structure, Biology, Linkage Disequilibrium, Statistical power, 03 medical and health sciences, 0302 clinical medicine, Gene Frequency, Statistics, Genetics, False positive paradox, Humans, Alleles, 030304 developmental biology, Investigation, 0303 health sciences, Models, Statistical, Models, Genetic, Hardy–Weinberg principle, Exact test, Genetics, Population, Phenotype, Data quality, Metric (mathematics), Scalability, Software, 030217 neurology & neurosurgery
Abstract

Traditional Hardy–Weinberg equilibrium (HWE) tests (the χ2 test and the exact test) have long been used as a metric for evaluating genotype quality, as technical artifacts leading to incorrect genotype calls often can be identified as deviations from HWE. However, in data sets composed of individuals from diverse ancestries, HWE can be violated even without genotyping error, complicating the use of HWE testing to assess genotype data quality. In this manuscript, we present the Robust Unified Test for HWE (RUTH) to test for HWE while accounting for population structure and genotype uncertainty, and to evaluate the impact of population heterogeneity and genotype uncertainty on the standard HWE tests and alternative methods using simulated and real sequence data sets. Our results demonstrate that ignoring population structure or genotype uncertainty in HWE tests can inflate false-positive rates by many orders of magnitude. Our evaluations demonstrate different tradeoffs between false positives and statistical power across the methods, with RUTH consistently among the best across all evaluations. RUTH is implemented as a practical and scalable software tool to rapidly perform HWE tests across millions of markers and hundreds of thousands of individuals while supporting standard VCF/BCF formats. RUTH is publicly available at https://www.github.com/statgen/ruth.

Published
2021
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78. Clonal hematopoiesis associated with epigenetic aging and clinical outcomes

Author

JoAnn E. Manson, Yongmei Liu, Daniel Nachun, Russell P. Tracy, Laura M. Raffield, Andrew D. Johnson, Kent D. Taylor, David Van Den Berg, Adolfo Correa, Cecilia A. Laurie, Daniel Levy, Joshua S. Weinstock, Peter Durda, Pradeep Natarajan, Eric A. Whitsel, Sekar Kathiresan, Alexander G. Bick, Joanne M. Murabito, Alexander P. Reiner, Themistocles L. Assimes, Steve Horvath, W. Craig Johnson, Gonçalo R. Abecasis, Stephen S. Rich, George J. Papanicolaou, James G. Wilson, Thomas W. Blackwell, Pinkal Desai, Ake T. Lu, Charles Kooperberg, Siddhartha Jaiswal, Xiuqing Guo, Mindy D. Szeto, and Jerome I. Rotter

Subjects
0301 basic medicine, Oncology, Epigenomics, medicine.medical_specialty, Aging, Heart disease, Sequencing data, Population, heart disease, Biology, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, medicine, clonal hematopoiesis, Humans, Epigenetics, education, education.field_of_study, Clonal hematopoiesis, Hazard ratio, Cell Biology, Original Articles, medicine.disease, Coronary heart disease, 030104 developmental biology, Treatment Outcome, Original Article, 030217 neurology & neurosurgery
Abstract

Clonal hematopoiesis of indeterminate potential (CHIP) is a common precursor state for blood cancers that most frequently occurs due to mutations in the DNA‐methylation modifying enzymes DNMT3A or TET2. We used DNA‐methylation array and whole‐genome sequencing data from four cohorts together comprising 5522 persons to study the association between CHIP, epigenetic clocks, and health outcomes. CHIP was strongly associated with epigenetic age acceleration, defined as the residual after regressing epigenetic clock age on chronological age, in several clocks, ranging from 1.31 years (GrimAge, p 0 in both Hannum and GrimAge (referred to as AgeAccelHG+). This group was at high risk of all‐cause mortality (hazard ratio 2.90, p, Clonal hematopoiesis of indeterminate potential (CHIP) and epigenetic age acceleration are the two important aging phenomenon associated with adverse clinical outcomes. We found that mutations in most CHIP genes were associated with increased age acceleration in multiple epigenetic clocks. Individuals with CHIP and age acceleration had a greatly increased risk of mortality and coronary heart disease compared to individuals with only CHIP or age acceleration.

Published
2021

79. Bidirectional Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of intermediate potential

Author

Dan M. Roden, John Blangero, Myriam Fornage, Kerri L. Wiggins, Benjamin L. Ebert, Gina M. Peloso, Tetsushi Nakao, John Lane, Russell P. Tracy, Lisa de las Fuentes, Ryan L. Minster, Donna K. Arnett, Seyedeh M. Zekavat, Laura M. Raffield, Akhil Pampana, Stephen S. Rich, Kathleen C. Barnes, R. Mathias, Alyna T. Khan, Lewis C. Becker, James E. Hixson, Gabriel K. Griffin, Nicholas L. Smith, JoAnn E. Manson, Robert C. Kaplan, Gonçalo R. Abecasis, Nathan Pankratz, Alexander P. Reiner, Donald M. Lloyd-Jones, Sharon L.R. Kardia, C. Charles Gu, Wendy Post, Lisa R. Yanek, Tanika N. Kelly, Hemant K. Tiwari, Jennifer A. Smith, Shoa L. Clarke, Ramachandran S. Vasan, Themistocles L. Assimes, Betty S. Pace, Jill M. Johnsen, Cara L. Carty, Pinkal Desai, Barry I. Freedman, Pradeep Natarajan, Margaret A. Taub, S Redline, Adrienne M. Stilp, Ranjan Deka, Alexander G. Bick, Donald W. Bowden, Mariza de Andrade, Abhishek Niroula, Joanne E. Curran, Quenna Wong, Siddhartha Jaiswal, Chii-Min Hwu, Michael Preuss, Christie M. Ballantyne, Shannon Kelly, Patrick T. Ellinor, Sameer Chavan, Dandi Qiao, Nicola L. Hawley, Charles Kooperberg, Juan M. Peralta, Braxton D. Mitchell, Solomon K. Musani, Jerome I. Rotter, Ruth J.F. Loos, Zachary T. Yoneda, Bruce M. Psaty, Christopher J. Gibson, Ron Do, Barbara A. Konkle, Marguerite R. Irvin, Jai G. Broome, Take Naseri, Alanna C. Morrison, L. Adrienne Cupples, Bertha A. Hildalgo, Jiang He, Mesbah Uddin, Dawood Darbar, Cecelia A. Laurie, Eric A. Whitsel, Patricia A. Peyser, Brian Custer, Michael H. Cho, Scott T. Weiss, Peter Libby, Susan R. Heckbert, Albert V. Smith, Joshua S. Weinstock, Meher Preethi Boorgula, M. Benjamin Shoemaker, Muagututi’a S. Reupena, Michael C. Honigberg, Nicholette D. Palmer, Wei Zhao, Paul S. Vries, Edwin K. Silverman, Daniel E. Weeks, Romit Bhattacharya, Joshua C. Bis, Kari E. North, Thomas W. Blackwell, Dawn L. DeMeo, Stephen T. McGarvey, Leslie S. Emery, A. R. Shuldiner, Yii-Der Ida Chen, Eric Boerwinkle, Adolfo Correa, Deborah A. Meyers, and Eimear E. Kenny

Subjects
Mendelian randomization, Locus (genetics), Telomerase reverse transcriptase, CAD, Computational biology, Biology, Causality, Germline, Telomere, Genetic association
Abstract

Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in Trans-Omics for Precision Medicine (TOPMed) program (N=63,302) and UK Biobank (N=48,658). Bidirectional Mendelian randomization studies were consistent with LTL lengthening increasing propensity to develop CHIP, but CHIP then in turn hastening LTL shortening. We also demonstrated evidence of modest mediation between CHIP and CAD by LTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.

Published
2021
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80. FIVEx: an interactive multi-tissue eQTL browser

Author

Boehnke M, Peter VandeHaar, Michael M. Wang, Hyun Min Kang, Alan M. Kwong, Gonçalo R. Abecasis, and Andrew P. Boughton

Subjects
Transcriptome, Expression (architecture), Computer science, Interface (Java), Gene expression, Expression quantitative trait loci, Genetic variation, Computational biology, Gene, Visualization
Abstract

SummaryExpression quantitative trait loci (eQTLs) characterize the associations between genetic variation and gene expression to provide insights into tissue-specific gene regulation. Interactive visualization of tissue-specific eQTLs can facilitate our understanding of functional variants relevant to disease-related traits. However, combining the multi-dimensional nature of eQTLs into a concise and informative visualization is challenging. Existing eQTL visualization tools provide useful ways to summarize the unprecedented scale of transcriptomic data but are not necessarily tailored to answer questions about the functional interpretations of trait-associated variants or other variants of interest. We developed FIVEx, an interactive eQTL browser with an intuitive interface tailored to the functional interpretation of associated variants. It features the ability to navigate seamlessly between different data views while providing relevant tissue- and locus-specific information to offer users a better understanding of population-scale multi-tissue transcriptomic profiles. Our implementation of the FIVEx browser on the Gene-Tissue Expression (GTEx) dataset provides important insights for understanding potential tissue-specific regulatory mechanisms underlying trait-associated signals.Availability and implementationA FIVEx instance visualizing GTEx v8 data can be found at https://eqtl.pheweb.org. The FIVEx source code is open source under an MIT license at https://github.com/statgen/fivex.

Published
2021
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81. LocusZoom.js: Interactive and embeddable visualization of genetic association study results

Author

Daniel Taliun, Peter VandeHaar, Andrew P. Boughton, Gonçalo R. Abecasis, Matthew Flickinger, Ryan P. Welch, and Michael Boehnke

Subjects
Linkage disequilibrium, Biological data, Information retrieval, Computer science, Context (language use), Genome-wide association study, JavaScript library, Data sharing, Genomic annotation, Upload, Documentation, Web page, Gene, Genetic association
Abstract

LocusZoom.js is a JavaScript library for creating interactive web-based visualizations of genetic association study results. It can display one or more traits in the context of relevant biological data (such as gene models and other genomic annotation), and allows interactive refinement of analysis models (by selecting linkage disequilibrium reference panels, identifying sets of likely causal variants, or comparisons to the GWAS catalog). It can be embedded in web pages to enable data sharing and exploration. Views can be customized and extended to display other data types such as phenome-wide association study (PheWAS) results, chromatin co-accessibility, or eQTL measurements. A new web upload service harmonizes datasets, adds annotations, and makes it easy to explore user-provided result sets.AvailabilityLocusZoom.js is open-source software under a permissive MIT license. Code and documentation are available at: https://github.com/statgen/locuszoom/. Installable packages are also distributed via NPM. Additional features are provided as standalone libraries to promote reuse. Use with your own GWAS results at https://my.locuszoom.org/.Contactlocuszoom@googlegroups.com

Published
2021
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82. Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

Author

Stavroula Kanoni, Bakker Sjl., Winkelmann Br, Wieland Kiess, Josée Dupuis, Palmer Cna., James F. Wilson, Schwarz Peh., Maria Dimitriou, Joop Jukema, Sara M. Willems, J L Min, R. Rauramaa, Perry Jrb., Momoko Horikoshi, Timo A. Lakka, Nicole Soranzo, J Kaprio, Niek Verweij, Martina Müller-Nurasyid, Jaana Lindström, Toby Johnson, Olga D. Carlson, Nita G. Forouhi, George Dedoussis, Johnson Pcd., Patrick K.E. Magnusson, Gonçalo R. Abecasis, Ozren Polasek, Wolffenbuttel Bhr., M. I. J. Uusitupa, Longda Jiang, Nancy L. Pedersen, Beate St Pourcain, Erik P A Van Iperen, Iva Miljkovic, Stefania Bandinelli, M. A. Province, Veikko Salomaa, Andrew A. Hicks, Evelin Mihailov, Rick Jansen, James B. Meigs, D Rybin, Peter Kovacs, George Davey Smith, Rona J. Strawbridge, Gudmar Thorleifsson, Meena Kumari, Chiara Scapoli, Christopher J. Groves, Barbara Thorand, T.B. Harris, Ulf de Faire, Inga Prokopenko, Stela McLachlan, Ping An, Anubha Mahajan, L.F. Bielak, Rebecca J. Webster, David Altshuler, Susan Campbell, Bernhard O. Boehm, A. Metspalu, Perttu Salo, D.I. Boomsma, Ilja M. Nolte, Andrea Ganna, Timothy M. Frayling, Pau Navarro, N J Timpson, Kardia Slr., Jeanette M. Stafford, Tõnu Esko, Ulrika Krus, Richa Saxena, Per Eriksson, Peter P. Pramstaller, Anne U. Jackson, V Lagou, Anders Franco-Cereceda, David S. Siscovick, Josephine M. Egan, Loos Rjf., C Gieger, Amanda J. Bennett, Anna Ulrich, Satu Männistö, Mika Kivimäki, Loic Yengo, Caroline Hayward, George Nicholson, C M van Duijn, Anke Tönjes, Nigel W. Rayner, Jose C. Florez, Leif Groop, Valeri Lyssenko, Lyle J. Palmer, Vilmantas Giedraitis, Maria G. Stathopoulou, B. Balkau, Anneli Pouta, Anuj Goel, Pierre Meneton, Serena Sanna, Jesper R. Gådin, Claudia Langenberg, Alessia Faggian, H Grallert, Karen Kapur, Marcus E. Kleber, Philippe Froguel, Boehnke M, Harry Campbell, Anders Hamsten, T. Saaristo, Antigone S. Dimas, Jarvelin M-R., F Karpe, A. Körner, Leena Kinnunen, Markus Perola, Joanne M. Meyer, May E. Montasser, Erik Ingelsson, Naveed Sattar, Yvonne Boettcher, Sirkka Keinänen-Kiukaanniemi, Aaron Isaacs, Gerjan Navis, Ian Ford, Amélie Bonnefond, Reedik Mägi, Tove Fall, Dmitry Shungin, Jenna Price, Igor Rudan, Richard M. Watanabe, Luigi Ferrucci, Jian'an Luan, Harst Pvd., Marika Kaakinen, Tatijana Zemunik, Christian Herder, Shin S-Y., Veronique Vitart, Ross M. Fraser, Alan R. Shuldiner, Panagiotis Deloukas, C. Lecoeur, Letizia Marullo, Kari Stefansson, Lars Lind, Winfried März, L Zudina, Aroon D. Hingorani, Gonneke Willemsen, de Geus Ejcn., Albert V. Smith, Jeffery R. O'Connell, Yongmei Liu, James S. Pankow, Sarah H. Wild, Patricia B. Munroe, Patricia A. Peyser, Nicholas J. Wareham, Tiinamaija Tuomi, Nicholas D. Hastie, Markku Laakso, Albert Hofman, J. Tuomilehto, Emmanouil T. Dermitzakis, Thomas Illig, Tomohiro Tanaka, Cecilia M. Lindgren, Sarin A-P., Alex S. F. Doney, Najaf Amin, Hugh Watkins, Johanna Kuusisto, Andrew P. Morris, Richard N. Bergman, Mark I. McCarthy, Nabila Bouatia-Naji, Günther Silbernagel, João Fadista, Harold Snieder, Ins Barroso, Michael Stumvoll, B.W.J.H. Penninx, M Blüher, Stefan R Bornstein, Laura J. Rasmussen-Torvik, Alan F. Wright, Peter Vollenweider, G K Hovingh, Heikki A. Koistinen, Sophie Visvikis-Siest, Vilmundur Gudnason, Eric Boerwinkle, Hottenga J-J., Guo Li, Paul W. Franks, Université de Lille, Centre de recherche en épidémiologie et santé des populations (CESP), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay

Subjects
Genetics, Multidisciplinary, Science, Insulin, medicine.medical_treatment, General Physics and Astronomy, Diagnostic marker, Genome-wide association study, General Chemistry, Type 2 diabetes, Quantitative trait locus, Biology, medicine.disease, GeneralLiterature_MISCELLANEOUS, General Biochemistry, Genetics and Molecular Biology, Fasting glucose, Sexual dimorphism, Pre diabetes, [SDU]Sciences of the Universe [physics], ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, medicine
Abstract

The original version of this Article contained an error in Fig. 2, in which panels a and b were inadvertently swapped. This has now been corrected in the PDF and HTML versions of the Article.

Published
2021
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83. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

Author

Lukas Habegger, Charumathi Sabanayagam, Michael Preuss, Laura M. Raffield, Mary F. Feitosa, Bamidele O. Tayo, Kevin Ho, Leo-Pekka Lyytikäinen, Florian Kronenberg, Valencia Hui Xian Foo, Adrienne Tin, Michael Cantor, Nisha Bansal, Tarunveer S. Ahluwalia, Melanie Waldenberger, Sarah A. Pendergrass, Behrooz Z. Alizadeh, Wolfgang Koenig, Qiong Yang, Xiaodong Bai, Christoph Wanner, Ben Schöttker, Giovanni Coppola, A. R. Shuldiner, Leslie A. Lange, Piyush Gampawar, Markus Scholz, Tien Yin Wong, Mary L. Biggs, Morris Swertz, Alicia Hawes, Girish N. Nadkarni, Christina-Alexandra Schulz, Chiea Chuen Khor, Ricardo H. Ulloa, Jeffrey C. Staples, Miao-Li Chee, Laura M. Yerges-Armstrong, Andrew Blumenfeld, Karlhans Endlich, Bernhard Banas, Bruce H.R. Wolffenbuttel, Kai-Uwe Eckardt, Pavel Hamet, Carsten A. Böger, Harold Snieder, Marcus B. Jones, Judy Wang, Shih-Jen Hwang, Mathias Gorski, Anselm Hoppmann, Josyf C. Mychaleckyj, Bernd Holleczek, Pamela R. Matias-Garcia, Rainer Rettig, Karsten B. Sieber, Manasi Pradhan, Pashupati P. Mishra, Peter Rossing, Matthias Wuttke, Miao-Ling Chee, H. Marike Boezen, Yong Li, M. Arfan Ikram, Jeffrey G. Reid, Teresa Nutile, Maria Sotiropoulos Padilla, Lude Franke, Robert J. Carroll, Luca A. Lotta, Bernhard K. Krämer, Kjell Nikus, Jerome I. Rotter, Thomas Meitinger, Lars Wallentin, Cisca Wijmenga, Kent D. Taylor, Holly Kramer, Louis Widom, Olli T. Raitakari, Marcus E. Kleber, Man Li, Nina Hutri-Kähönen, Massimiliano Cocca, Reinhold Schmidt, John D. Overton, Cristian Pattaro, Michael Lattari, Sarah E. Wolf, Jin-Fang Chai, Karina Toledo, Brigitte Kühnel, Zhenhua Gu, Peter Almgren, Caitlin Forsythe, Yuri Milaneschi, Stephan J. L. Bakker, Layal Chaker, Dawn M. Waterworth, Silke Szymczak, James G. Wilson, Peter J. van der Most, Michelle L. O'Donoghue, William Salerno, Masayuki Yasuda, Sahar Ghasemi, Eric Boerwinkle, Josef Coresh, Ilja M. Nolte, Kia Manoochehri, Konstantin Strauch, Thomas D. Schleicher, Myriam Rheinberger, Audrey Y. Chu, Sanaz Sedaghat, Sandra Freitag-Wolf, Boting Ning, Matthias Nauck, Christina Beechert, Helena Schmidt, Harvey D. White, Nina Mononen, Johanne Tremblay, Navya Shilpa Josyula, Mika Kähönen, Katrin Horn, Andre Franke, Marianne Rots, Bettina Jung, Alexander R. Rosenkranz, Christian M. Shaffer, Mary Ann Lukas, Gerjan Navis, Christian Gieger, John Chalmers, Shareef Khalid, Uwe Völker, Marju Orho-Melander, Iris M. Heid, Brenda W.J.H. Penninx, A. Baras, Alexander Lopez, Evan Maxwell, Ruth J. F. Loos, Erin D. Fuller, Christa Meisinger, Gonçalo R. Abecasis, Suganthi Balasubramanian, Chris H. L. Thio, Martin H. de Borst, Stefan Coassin, Ching-Yu Cheng, Wolfgang Lieb, Kenneth Rice, Alexander Teumer, Mark Woodward, Gisu Eom, Hermann Brenner, Thomas W. Winkler, Anna Köttgen, Edith Hofer, Aris Economides, Ron T. Gansevoort, Pim van der Harst, Lyndon J. Mitnaul, Bruce M. Psaty, Erwin P. Bottinger, Olle Melander, Niek Verweij, Frauke Degenhardt, Yan Zhang, Mohsen Ghanbari, Veronika Wanner, Terho Lehtimäki, Leland Barnard, Tampere University, Primary Health Care, Department of Paediatrics, Clinical Medicine, Department of Clinical Physiology and Nuclear Medicine, Department of Clinical Chemistry, TAYS Heart Centre, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Department of Marketing Management, Epidemiology, Internal Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, and APH - Digital Health

Subjects
0301 basic medicine, medicine.medical_specialty, Genome-wide association study, 030232 urology & nephrology, Protein Disulfide-Isomerases, Hasso-Plattner-Institut für Digital Engineering GmbH, Renal function, Locus (genetics), Biology, AMP-Activated Protein Kinases, Kidney, 3121 Internal medicine, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, end-stage kidney disease, rapid eGFRcrea decline, Urologi och njurmedicin, medicine, Humans, Urology and Nephrology, ddc:610, Allele, Genetic association, Genetics, Creatinine, genome-wide association study, Acute kidney injury, acute kidney injury, medicine.disease, United Kingdom, ddc, 030104 developmental biology, chemistry, Nephrology, Medical genetics, 3111 Biomedicine, 610 Medizin und Gesundheit, Glomerular Filtration Rate
Abstract

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m(2)/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m(2) at follow-up among those with eGFRcrea 60 mL/min/1.73m(2) or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or (LARP4B). Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function., Zweitveröffentlichungen der Universität Potsdam : Reihe der Digital Engineering Fakultät; 19

Published
2021
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84. Genetic architectures of proximal and distal colorectal cancer are partly distinct

Author

Stephanie J. Weinstein, Rami Nassir, Fredrick R. Schumacher, Neil Murphy, M. Henar Alonso, Satu Männistö, Hedy S. Rennert, Manish Gala, Phyllis J. Goodman, Albert de la Chapelle, Tilman Kühn, Fränzel J.B. Van Duijnhoven, Paul D.P. Pharoah, Anshul Kundaje, Juergen Boehm, W. James Gauderman, Mark A. Jenkins, Vittorio Perduca, Polly A. Newcomb, Amanda I. Phipps, Christopher I. Li, Douglas F. Easton, Antonia Trichopoulou, Kristin E. Anderson, Daniel D. Buchanan, Peter C. Scacheri, William M. Grady, Liher Imaz, Veronika Vymetalkova, Wan-Ling Hsu, Prudence R. Carr, Martha L. Slattery, Keith R. Curtis, Elizabeth A. Platz, Sai Chen, Graham G. Giles, D. Timothy Bishop, David M. Levine, Michael Hoffmeister, Duncan C. Thomas, Roger L. Milne, Michael O. Woods, Michael C. Bassik, Andrea Gsur, Dallas R. English, David V. Conti, Sébastien Küry, Wolfgang Lieb, Jochen Hampe, Coral Arnau-Collell, Steven Gallinger, Emily White, John S. Grove, Antoni Castells, Hermann Brenner, Amanda E. Toland, Noralane M. Lindor, Aurora Perez-Cornago, David Duggan, Temitope O. Keku, Edith J. M. Feskens, Heather Hampel, Korbinian Weigl, Li Li, Li Hsu, Conghui Qu, Peter T. Campbell, John L. Hopper, Volker Arndt, Jenny Chang-Claude, Lorena Moreno, John A. Baron, Stephen N. Thibodeau, Robert E. Schoen, Jeroen R. Huyghe, Rachel Pearlman, Sanford D. Markowitz, Amanda J. Cross, Stephan Buch, Barbara L. Banbury, Thomas J. Hudson, Yu Ru Su, Marc J. Gunter, Stephen B. Gruber, Heiner Boeing, Demetrius Albanes, Wen Yi Huang, Sergi Castellví-Bel, Jane C. Figueiredo, Catherine M. Tangen, Andrew T. Chan, Annika Lindblom, Deborah A. Nickerson, Richard B. Hayes, Lori C. Sakoda, Flavio Lejbkowicz, Salvatore Panico, Alicja Wolk, Kenneth Offit, John D. Potter, Leon Raskin, Bette J. Caan, Clemens Schafmayer, Mingyang Song, Lihong Qi, Elio Riboli, Hyun Min Kang, Sophia Harlid, Pavel Vodicka, Ludmila Vodickova, Cornelia M. Ulrich, Stephanie L. Schmit, Victor Moreno, Anna H. Wu, Brenda Diergaarde, Bethany Van Guelpen, Kala Visvanathan, Loic Le Marchand, Mazda Jenab, Amit Joshi, Stefanie Brezina, Stephanie A. Bien, Charles Kooperberg, Shuji Ogino, Daniela Seminara, Graham Casey, Andrea N. Burnett-Hartman, Robert W. Haile, Ulrike Peters, Gad Rennert, Tabitha A. Harrison, Ross L. Prentice, Yi Lin, Antonio Agudo, Gonçalo R. Abecasis, Sonja I. Berndt, Stephen J. Chanock, Stéphane Bézieau, Patrick S. Parfrey, Richard Barfield, Marie-Christine Boutron-Ruault, Huyghe, Jeroen R [0000-0001-6027-9806], Brenner, Hermann [0000-0002-6129-1572], Buchanan, Daniel D [0000-0003-2225-6675], Chan, Andrew T [0000-0001-7284-6767], Gsur, Andrea [0000-0002-9795-1528], Hampe, Jochen [0000-0002-2421-6127], Hoffmeister, Michael [0000-0002-8307-3197], Huang, Wen-Yi [0000-0002-4440-3368], Jenab, Mazda [0000-0002-0573-1852], Murphy, Neil [0000-0003-3347-8249], Peters, Ulrike [0000-0001-5666-9318], and Apollo - University of Cambridge Repository

Subjects
Male, 0301 basic medicine, Oncology, Candidate gene, Nutrition and Disease, Colorectal cancer, Genome-wide association study, Bioinformatics, medicine.disease_cause, Germline, colon carcinogenesis, Transcriptome, 0302 clinical medicine, Risk Factors, Voeding en Ziekte, Genotype, Age of Onset, Cecum, Aged, 80 and over, Gastroenterology, Middle Aged, cancer susceptibility, Primary tumor, Colon, Descending, 030220 oncology & carcinogenesis, Colonic Neoplasms, Female, Medical Genetics, Colon, Transverse, Adult, medicine.medical_specialty, Colon, cancer genetics, colorectal cancer, Biology, Polymorphism, Single Nucleotide, White People, Colon, Ascending, Genetic Heterogeneity, Young Adult, 03 medical and health sciences, Age Distribution, Medicina preventiva, genetic polymorphisms, Colon, Sigmoid, Càncer colorectal, Internal medicine, medicine, Genetics, Humans, Alleles, VLAG, Genetic association, Medicinsk genetik, Aged, Global Nutrition, Preventive medicine, Wereldvoeding, Cancer och onkologi, Gastroenterology & Hepatology, Rectal Neoplasms, Cancer, 1103 Clinical Sciences, medicine.disease, digestive system diseases, 030104 developmental biology, Cancer and Oncology, Case-Control Studies, 1114 Paediatrics and Reproductive Medicine, Human genome, Carcinogenesis, Genètica, Genome-Wide Association Study
Abstract

ObjectiveAn understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for sporadic CRC differs by anatomical subsite of the primary tumor has not been examined.DesignTo identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48,214 CRC cases and 64,159 controls of European ancestry. We characterized effect heterogeneity at CRC risk loci using multinomial modeling.ResultsWe identified 13 loci that reached genome-wide significance (P−8) and that were not reported by previous GWAS for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer.ConclusionGenetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumor.Significance of this studyWhat is already known about this subject?Heterogeneity among colorectal cancer (CRC) tumors originating at different locations of the colorectum has been revealed in somatic genomes, epigenomes, and transcriptomes, and in some established environmental risk factors for CRC.Genome-wide association studies (GWAS) have identified over 100 genetic variants for overall CRC risk; however, a comprehensive analysis of the extent to which genetic risk factors differ by the anatomical sublocation of the primary tumor is lacking.What are the new findings?In this large consortium-based study, we analyzed clinical and genome-wide genotype data of 112,373 CRC cases and controls of European ancestry to comprehensively examine whether CRC case subgroups defined by anatomical sublocation have distinct germline genetic etiologies.We discovered 13 new loci at genome-wide significance (P−8) that were specific to certain anatomical sublocations and that were not reported by previous GWAS for overall CRC risk; multiple lines of evidence support strong candidate target genes at several of these loci, including PTGER3, LCT, MLH1, CDX1, KLF14, PYGL, BCL11B, and BMP7.Systematic heterogeneity analysis of genetic risk variants for CRC identified thus far, revealed that the genetic architectures of proximal and distal CRC are partly distinct.Taken together, our results further support the idea that tumors arising in different anatomical sublocations of the colorectum may have distinct etiologies.How might it impact on clinical practice in the foreseeable future?Our results provide an informative resource for understanding the differential role that genes and pathways may play in the mechanisms of proximal and distal CRC carcinogenesis.The new insights into the etiologies of proximal and distal CRC may inform the development of new precision prevention strategies, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention.Our findings suggest that future studies of etiological risk factors for CRC and molecular mechanisms of carcinogenesis should take into consideration the anatomical sublocation of the colorectal tumor.

Published
2021

85. Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Author

Li Li, Mark A. Jenkins, Jeroen R. Huyghe, Sang-Hee Cho, Alicja Wolk, Kenneth Offit, Rachel Pearlman, D. Timothy Bishop, Jenny Chang-Claude, Jiandong Bao, Soo-Chin Lee, Fangqin Wang, Martha L. Slattery, Stephan Buch, Hyun Min Kang, Yuan Yuan, Fredrick R. Schumacher, Gonçalo R. Abecasis, John D. Potter, Fränzel J.B. Van Duijnhoven, Robert E. Schoen, Gad Rennert, Heather Hampel, Graham G. Giles, Neil Murphy, Tabitha A. Harrison, Ellen Kampman, Polly A. Newcomb, Wei Zheng, Weiqiang Lin, Zhishan Chen, Edith J. M. Feskens, Michael Hoffmeister, Hermann Brenner, Ulrike Peters, Paul D.P. Pharoah, Temitope O. Keku, Graham Casey, Pavel Vodicka, Annika Lindblom, Sonja I. Berndt, Ludmila Vodickova, Yu Ru Su, Phyllis J. Goodman, Albert de la Chapelle, Michael O. Woods, Sergi Castellví-Bel, Jirong Long, Andrea Gsur, Cornelia M. Ulrich, Stephanie L. Schmit, Stephen B. Gruber, Stephen J. Chanock, Qiuyin Cai, Victor Moreno, Xiaoliang Wang, Xingyi Guo, David V. Conti, Jochen Hampe, Mark A. Guinter, Andrea N. Burnett-Hartman, Demetrius Albanes, Hyeong Rok Kim, Veronika Vymetalkova, Bethany Van Guelpen, Kala Visvanathan, Loic Le Marchand, Stéphane Bézieau, Deborah A. Nickerson, Roger L. Milne, Wanqing Wen, Lori C. Sakoda, Stephanie A. Bien, Li Hsu, Emily White, Conghui Qu, Peter T. Campbell, Christopher I. Li, Elizabeth A. Platz, Clemens Schafmayer, Mengqiu Bai, Steven Gallinger, Noralane M. Lindor, Marc J. Gunter, Catherine M. Tangen, Andrew T. Chan, and Richard B. Hayes

Subjects
0301 basic medicine, Linkage disequilibrium, Nutrition and Disease, Colorectal cancer, Carcinogenesis, TWAS, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, Transcriptome, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Voeding en Ziekte, medicine, Biomarkers, Tumor, SNP, Humans, Genetic Predisposition to Disease, RNA-Seq, Promoter Regions, Genetic, Susceptibility Genes, Alleles, Medicinsk genetik, Genetic association, VLAG, CABLES2, Genetics, Global Nutrition, Colorectal Cancer, Wereldvoeding, Hepatology, Models, Genetic, Gastroenterology, medicine.disease, Xenograft Model Antitumor Assays, 3. Good health, 030104 developmental biology, Case-Control Studies, Gene Knockdown Techniques, Expression quantitative trait loci, 030211 gastroenterology & hepatology, Colorectal Neoplasms, Medical Genetics, Genome-Wide Association Study
Abstract

BACKGROUND AND AIMS: Susceptibility genes and the underlying mechanisms for the majority of risk loci identified by genome-wide association studies (GWAS) for colorectal cancer (CRC) risk remain largely unknown. We conducted a transcriptome-wide association study (TWAS) to identify putative susceptibility genes. METHODS: Gene-expression prediction models were built using transcriptome and genetic data from the 284 normal transverse colon tissues of European descendants from the Genotype-Tissue Expression (GTEx), and model performance was evaluated using data from The Cancer Genome Atlas (TCGA, n = 355). We applied the gene-expression prediction models and GWAS data to evaluate associations of genetically predicted gene-expression with CRC risk in 58,131 CRC cases and 67,347 controls of European ancestry. Dual-luciferase reporter assays and knockdown experiments in CRC cells and tumor xenografts were conducted. RESULTS: We identified 25 genes associated with CRC risk at a Bonferroni-corrected threshold of P < 9.1 × 10(−6), including genes in four novel loci, PYGL (14q22.1), RPL28 (19q13.42), CAPN12 (19q13.2), MYH7B (20q11.22), and MAP1L3CA (20q11.22). In nine known GWAS-identified loci, we uncovered nine genes that have not been previously reported, whereas four genes remained statistically significant after adjusting for the lead risk variant of the locus. Through colocalization analysis in GWAS loci, we additionally identified 12 putative susceptibility genes that were supported by TWAS analysis at P < 0.01. We showed that risk allele of the lead risk variant rs1741640 affected the promoter activity of CABLES2. Knockdown experiments confirmed that CABLES2 plays a vital role in colorectal carcinogenesis. CONCLUSION: Our study reveals new putative susceptibility genes and provides new insight into the biological mechanisms underlying CRC development.

Published
2021

86. Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

Author

Whitney E. Hornsby, Patricia A. Peyser, Albert V. Smith, Anita Pandit, Allison E. Ashley-Koch, Brooke N. Wolford, Morten S. Olesen, Michael Boehnke, Steven A. Lubitz, Lars G. Fritsche, Charles Kooperberg, Wayne Huey-Herng Sheu, Rasika A. Mathias, Sarah E. Graham, Ketian Yu, Yii Der Chen, Scott T. Weiss, Juan M. Peralta, David Schlessinger, Austen Grooms, Seyed Mehdi Nouraie, Xingnan Li, Ying Zhao, Russell P. Tracy, Chad M. Brummett, Sachin Kheterpal, Kent D. Taylor, Jill M. Johnsen, Jerome I. Rotter, Kristian Hveem, Pia R. Lundegaard, Vivek Rai, Victor R. Gordeuk, Anne Heidi Skogholt, Stella Aslibekyan, Alexander P. Reiner, Sebastian Schoenherr, Adolfo Correa, Matthew Zawistowski, Lewis C. Becker, Lukas Forer, Michelle Daya, Jonathon LeFaive, Mari Løset, Ben Michael Brumpton, Bertha Hidalgo, Marguerite R. Irvin, Seunggeun Lee, Ren-Hua Chung, Maiken Elvestad Gabrielsen, Francesco Cucca, William Overton, Gregory J.M. Zajac, Luis Villacorta, Stephen S. Rich, Sayantan Das, Karen Schwander, Yingze Zhang, Thomas W. Blackwell, Ida Surakka, Pradeep Natarajan, Solomon K. Musani, Tanmoy Roychowdhury, Kathleen C. Barnes, Donna K. Arnett, Jonas B. Nielsen, Vivien A. Sheehan, Akua Acheampong, Oddgeir L. Holmen, He Zhang, Carlo Sidore, Lisa R. Yanek, Oren Rom, Jessica Lasky-Su, Nicholette D. Palmer, Seung Hoan Choi, Amanda Schaefer, Yuhao Liu, Sarah A Gagliano Taliun, John Blangero, Daniel Taliun, Y. Eugene Chen, Deborah A. Meyers, L. Adrienne Cupples, Courtney G. Montgomery, Sekar Kathiresan, James G. Wilson, Marilyn J. Telen, Ramachandran S. Vasan, Jin Chen, Nicholas Rafaels, Bjørn Olav Åsvold, Lawrence F. Bielak, Hyun Min Kang, Christian Fuchsberger, Barbara A. Konkle, Sebastian Zöllner, Wei Zhou, Rebecca D. Jackson, Patrick T. Ellinor, Gonçalo R. Abecasis, Jifeng Zhang, Eugene R. Bleecker, Xiuqing Guo, Jennifer A. Smith, Cristen J. Willer, and Joanne E. Curran

Subjects
0301 basic medicine, LOCI, EXOME, General Physics and Astronomy, Genome-wide association study, Disease, 030204 cardiovascular system & hematology, Bioinformatics, Genome-wide association studies, chemistry.chemical_compound, THALASSEMIA, 0302 clinical medicine, Loss of Function Mutation, WIDE ASSOCIATION, Medicine, Molecular Targeted Therapy, Phenomics, Biological Specimen Banks, Multidisciplinary, Fatty liver, Lipids, Cardiovascular diseases, Liver, Gene Targeting, Science, METABOLISM, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Humans, Gene Silencing, Adverse effect, Genome, Human, business.industry, Cholesterol, PATHWAYS, General Chemistry, medicine.disease, United Kingdom, Computational biology and bioinformatics, MODEL, 030104 developmental biology, Receptors, LDL, chemistry, LDL receptor, Liver function, business, Dyslipidemia, GENERATION, Genome-Wide Association Study
Abstract

Pharmaceutical drugs targeting dyslipidemia and cardiovascular disease (CVD) may increase the risk of fatty liver disease and other metabolic disorders. To identify potential novel CVD drug targets without these adverse effects, we perform genome-wide analyses of participants in the HUNT Study in Norway (n = 69,479) to search for protein-altering variants with beneficial impact on quantitative blood traits related to cardiovascular disease, but without detrimental impact on liver function. We identify 76 (11 previously unreported) presumed causal protein-altering variants associated with one or more CVD- or liver-related blood traits. Nine of the variants are predicted to result in loss-of-function of the protein. This includes ZNF529:p.K405X, which is associated with decreased low-density-lipoprotein (LDL) cholesterol (P = 1.3 × 10−8) without being associated with liver enzymes or non-fasting blood glucose. Silencing of ZNF529 in human hepatoma cells results in upregulation of LDL receptor and increased LDL uptake in the cells. This suggests that inhibition of ZNF529 or its gene product should be prioritized as a novel candidate drug target for treating dyslipidemia and associated CVD., Drugs targeting cardiovascular disease (CVD) can have negative consequences for liver function. Here, the authors combine genome wide analyses on 69,479 individuals to identify loss-of-function variants with beneficial effects on CVD-related traits without negative impacts on liver function.

Published
2020
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87. Genome-wide analysis in 756,646 individuals provides first genetic evidence that ACE2 expression influences COVID-19 risk and yields genetic risk scores predictive of severe disease

Author

Marie V. Coignet, Dylan Sun, Lukas Habegger, Evan Maxwell, Daniel J. Rader, David J. Carey, Katherine A. Siminovitch, Giorgio Sirugo, Anne E. Justice, Joelle Mbatchou, Eli A. Stahl, Gonçalo R. Abecasis, Alexander H. Li, David A. Turissini, Adam E. Locke, Kristin A. Rand, Aris Baras, Joseph B. Leader, Genevieve H.L. Roberts, Ahna R. Girshick, Deepika Sharma, Nilanjana Banerjee, Fabricio S. P. Kury, John D. Overton, Shane McCarthy, Jonathan Marchini, Xiaodong Bai, Eurie L. Hong, Rouel Lanche, Amy Damask, Ashish Yadav, Raghavendran Partha, Shannon R. McCurdy, Miao Zhang, Suganthi Balasubramanian, Hyun Min Kang, Anurag Verma, Marcus B. Jones, Marylyn D. Ritchie, Colm O'Dushlaine, Manuel A. R. Ferreira, Adam J. Mansfield, Anthony Marcketta, Joshua D. Backman, Alan R. Shuldiner, Michael N. Cantor, Tooraj Mirshahi, Lee Dobbyn, Spencer C. Knight, William J Salerno, Harenda Guturu, Jeffrey G. Reid, Julie E. Horowitz, Lauren Gurski, Danny S. Park, Kyoko Watanabe, Catherine A. Ball, Asher K. Haug Baltzell, and Jack A. Kosmicki

Subjects
2019-20 coronavirus outbreak, Increased risk, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Genetic variants, MEDLINE, Severe disease, Medicine, Bioinformatics, business
Abstract

SARS-CoV-2 enters host cells by binding angiotensin-converting enzyme 2 (ACE2). Through a genome-wide association study, we show that a rare variant (MAF = 0.3%, odds ratio 0.60, P=4.5x10-13) that down-regulates ACE2 expression reduces risk of COVID-19 disease, providing human genetics support for the hypothesis that ACE2 levels influence COVID-19 risk. Further, we show that common genetic variants define a risk score that predicts severe disease among COVID-19 cases.

Published
2020
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88. Presence and transmission of mitochondrial heteroplasmic mutations in human populations of European and African ancestry

Author

Jun Ding, Xianbang Sun, Brian E. Cade, Gonçalo R. Abecasis, Leslie A. Lange, Achilleas N. Pitsillides, Jessica L. Fetterman, Susan Redline, Laura M. Raffield, L. Adrienne Cupples, Heming Wang, Daniel Levy, Chunyu Liu, Thomas W. Blackwell, James G. Wilson, Ramachandran S. Vasan, Adolfo Correa, Yong Qian, and Pramod Anugu

Subjects
Nonsynonymous substitution, Genetics, Mitochondrial DNA, Whole Genome Sequencing, Concordance, Black People, Cell Biology, Biology, Heteroplasmy, DNA, Mitochondrial, White People, Article, Mitochondria, Germline mutation, Mutation, Molecular Medicine, Coding region, Humans, Allele, Molecular Biology, Genome-Wide Association Study
Abstract

We investigated the concordance of mitochondrial DNA heteroplasmic mutations (heteroplasmies) in 6,745 maternal pairs of European (EA, n=4,718 pairs) and African (AA, n=2,027 pairs) Americans in whole blood. Mother-offspring pairs displayed the highest concordance rate, followed by sibling-sibling and more distantly-related maternal pairs. The allele fractions of concordant heteroplasmies exhibited high correlation (R(2)=0.8) between paired individuals. Discordant heteroplasmies were more likely to be in coding regions, be nonsynonymous or nonsynonymous-deleterious (p

Published
2020

89. Whole genome sequencing association analysis of quantitative red blood cell phenotypes: the NHLBI TOPMed program

Author

Paul L. Auer, Laura Almasy, Jerome I. Rotter, Nancy Min, Lisa R. Yanek, Shuquan Rao, Hua Tang, Zhe Wang, Stacey Gabriel, Jee-Young Moon, Nancy L. Heard-Costa, Adam S. Butterworth, Ravindranath Duggirala, Cathy C. Laurie, Hélène Choquet, Ruth J. F. Loos, Alanna C. Morrison, Eric Jorgenson, Charles Kooperberg, Rasika A. Mathias, Laura M. Raffield, Nicholas L. Smith, Andrew D. Johnson, Matthew P. Conomos, Lynette Ekunwe, Donald M. Lloyd-Jones, Gonçalo R. Abecasis, Robert C. Kaplan, Myriam Fornage, Daniel E. Bauer, Nathalie Chami, Lewis C. Becker, Leslie A. Lange, Ming-Huei Chen, Brian D. Hobbs, Paul S. de Vries, Terri H. Beaty, Cecelia A. Laurie, Eric Boerwinkle, Michael Preuss, Adrienne M. Stilp, Jeffrey R. O'Connell, Kousik Kundu, Joanne E. Curran, Mary Cushman, Kari E. North, Xiuwen Zheng, John Blangero, Sébastian Méric de Bellefon, Ramachandran S. Vasan, Nathan Pankratz, Praveen Surendran, Joshua P. Lewis, Kathleen A. Ryan, Jennifer A. Brody, Deepti Jain, Braxton D. Mitchell, Marsha M. Wheeler, Lifang Hou, Deborah A. Nickerson, Guillaume Lettre, Alexander P. Reiner, Albert V. Smith, Stephen S. Rich, Nicole Soranzo, Adolfo Correa, Jai G. Broome, Nauder Faraday, Thomas W. Blackwell, Bruce M. Psaty, Quan Sun, Yun Li, Caitlin P. McHugh, Yao Hu, and John Lane

Subjects
Genetics, Whole genome sequencing, education.field_of_study, Population, Genome-wide association study, Quantitative trait locus, Biology, Genetic architecture, symbols.namesake, Mendelian inheritance, symbols, Indel, education, Genetic association
Abstract

Whole genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these newly discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3bp indel p.Lys2169del (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis [OMIM 194380], associated with higher MCHC. In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically-diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.

Published
2020
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90. A catalog of associations between rare coding variants and COVID-19 outcomes

Author

Anurag Verma, Anne E. Justice, Guillaume Butler-Laporte, E. N. Smith, Lukas Habegger, Joelle Mbatchou, Susan P. Walker, Albert Tenesa, Joseph D. Szustakowski, Konrad Rawlik, Dylan Sun, Loukas Moutsianas, Shane McCarthy, Richard H Scott, Aris Baras, Evan Maxwell, Aldo Cordova-Palomera, Tooraj Mirshahi, Dorota Pasko, David J. Carey, Sahar Esmaeli, Adam J. Mansfield, Quanli Wang, Jeffrey S. Reid, Nilanjana Banerjee, Joshua D. Backman, Athanasios Kousathanas, Ashish Yadav, Mark J. Caulfield, Alison M. Meynert, Rouel Lanche, Jack A. Kosmicki, James F. Wilson, J. Brent Richards, Heiko Runz, Gonçalo R. Abecasis, Adam E. Locke, Justin W. Davis, Mark Lathrop, Alan R. Shuldiner, Lauren Gurski, J Kenneth Baillie, Michael N. Cantor, David Goldstein, John D. Overton, Kyoko Watanabe, Amanda O'Neill, Yunfeng Huang, Jonathan Marchini, Xiaodong Bai, Krzysztof Kiryluk, Slavé Petrovski, Sean O'Keeffe, Erika Kvikstad, Anthony Marcketta, Margaret M. Parker, Giorgio Sirugo, Julie E. Horowitz, Emily Wong, Olympe Chazara, Paul Nioi, Manuel A. R. Ferreira, Sándor Szalma, Joseph B. Leader, Shareef Khalid, William J Salerno, Deepika Sharma, Tomoko Nakanishi, Marcus B. Jones, Gundula Povysil, Marylyn D. Ritchie, Colm O'Dushlaine, Xiuwen Zheng, Daniel J. Rader, Suganthi Balasubramanian, Hyun Min Kang, Yi-Pin Lai, Alexander H. Li, Xing Chen, and Erola Pairo-Castineira

Subjects
Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Genome-wide association study, medicine.disease_cause, Biobank, Article, Genetic association analysis, Immunology, Multiple comparisons problem, Medicine, business, Gene, Coronavirus
Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease-19 (COVID-19), a respiratory illness that can result in hospitalization or death. We investigated associations between rare genetic variants and seven COVID-19 outcomes in 543,213 individuals, including 8,248 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome-wide or when specifically focusing on (i) 14 interferon pathway genes in which rare deleterious variants have been reported in severe COVID-19 patients; (ii) 167 genes located in COVID-19 GWAS risk loci; or (iii) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, with results publicly browsable athttps://rgc-covid19.regeneron.com.

Published
2020
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91. Presence and Transmission of Mitochondrial Heteroplasmic Mutations in Human Populations of European and African Ancestry

Author

Brian E. Cade, Adolfo Correa, Leslie A. Lange, Thomas W. Blackwell, Chunyu Liu, Jessica L. Fetterman, James F. Wilson, Yong Qian, Kaiyu Yan, Pramod Anugu, Achilleas N. Pitsillides, Gonçalo R. Abecasis, Daniel Levy, Xianbang Sun, Jun Ding, Laura M. Raffield, Heming Wang, Ramachandran S. Vasan, Susan Redline, and L. Adrienne Cupples

Subjects
Genetics, Nonsynonymous substitution, Mitochondrial DNA, Nuclear gene, Coding region, Single-nucleotide polymorphism, Allele, Biology, Genome, Heteroplasmy
Abstract

We investigated the concordance of mitochondrial DNA heteroplasmic mutations (heteroplasmies) in different types of maternal pairs (n=6,745 pairs) of European (EA, n=4,718 pairs) and African (AA, n=2,027 pairs) Americans with whole genome sequences (WGSs). The average concordance rate of heteroplasmies was highest between mother-offspring pairs, followed by sibling-sibling pairs and more distantly related maternal pairs in both EA and AA participants. The allele fractions of concordant heteroplasmies exhibited high correlation (R2=0.8) between paired individuals. Compared to concordant heteroplasmies, discordant ones were more likely to locate in coding regions, be nonsynonymous or nonsynonymous-deleterious (p0.05) at 11p11.12. Many of the top SNPs act as strong long-range cis regulators of protein tyrosine phosphatase receptor type J. This study provides further evidence that mtDNA heteroplasmies may be inherited or somatic. Somatic heteroplasmic variants increase with advancing age and are more likely to have an adverse impact on mitochondrial function. Further studies are warranted for functional characterization of the deleterious heteroplasmies occurring with advancing age and the association of the 11p11.12 region of the nuclear genome with mtDNA heteroplasmy.

Published
2020
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92. Mapping the 17q12-21.1 Locus for Variants Associated with Early-Onset Asthma in African Americans

Author

Patrick M. A. Sleiman, Whitney Cabral, Esteban G. Burchard, Samantha Simons, Donglei Hu, Ellen Zhang, Kyle Whitehouse, W. James Gauderman, Angel C.Y. Mak, David J. Erle, Celeste Eng, Frank D. Gilliland, Albert M. Levin, L. Keoki Williams, Fernando D. Martinez, Hyun Min Kang, Samantha Hochstadt, Thomas W. Blackwell, Andrea J. Barczak, Hongsheng Gui, Shujie Xiao, Rajesh Kumar, Sami Takriti, Mao Yang, Soren Germer, David E. Lanfear, Hakon Hakonarson, Scott Huntsman, Deborah A. Nickerson, and Gonçalo R. Abecasis

Subjects
Male, GASDERMIN B, Respiratory System, Critical Care and Intensive Care Medicine, Medical and Health Sciences, Linkage Disequilibrium, 0302 clinical medicine, Medicine, 2.1 Biological and endogenous factors, 030212 general & internal medicine, Aetiology, Age of Onset, Child, Lung, Early onset, Genetics, African Americans, ORMDL3, Chromosome Mapping, Single Nucleotide, chromosome 17, Middle Aged, Chromosome 17 (human), Child, Preschool, Respiratory, Female, Human, Pulmonary and Respiratory Medicine, Adult, Adolescent, African descent, Quantitative Trait Loci, Locus (genetics), Polymorphism, Single Nucleotide, Chromosomes, White People, 03 medical and health sciences, Young Adult, Humans, Genetic Predisposition to Disease, Polymorphism, Preschool, Genetic Association Studies, Asthma, business.industry, Pair 17, Infant, Newborn, Editorials, Genetic Variation, Infant, asthma, medicine.disease, Newborn, United States, Black or African American, ORMDL sphingolipid biosynthesis regulator 3, 030228 respiratory system, GSDMB, business, Chromosomes, Human, Pair 17
Abstract

Rationale: The 17q12-21.1 locus is one of the most highly replicated genetic associations with asthma. Individuals of African descent have lower linkage disequilibrium in this region, which could facilitate identifying causal variants.Objectives: To identify functional variants at 17q12-21.1 associated with early-onset asthma among African American individuals.Methods: We evaluated African American participants from SAPPHIRE (Study of Asthma Phenotypes and Pharmacogenomic Interactions by Race-Ethnicity) (n = 1,940), SAGE II (Study of African Americans, Asthma, Genes and Environment) (n = 885), and GCPD-A (Study of the Genetic Causes of Complex Pediatric Disorders-Asthma) (n = 2,805). Associations with asthma onset at ages under 5 years were meta-analyzed across cohorts. The lead signal was reevaluated considering haplotypes informed by genetic ancestry (i.e., African vs. European). Both an expression-quantitative trait locus analysis and a phenome-wide association study were performed on the lead variant.Measurements and Main Results: The meta-analyzed results from SAPPHIRE, SAGE II, and the GCPD-A identified rs11078928 as the top association for early-onset asthma. A haplotype analysis suggested that the asthma association partitioned most closely with the rs11078928 genotype. Genetic ancestry did not appear to influence the effect of this variant. In the expression-quantitative trait locus analysis, rs11078928 was related to alternative splicing of GSDMB (gasdermin-B) transcripts. The phenome-wide association study of rs11078928 suggested that this variant was predominantly associated with asthma and asthma-associated symptoms.Conclusions: A splice-acceptor polymorphism appears to be a causal variant for asthma at the 17q12-21.1 locus. This variant appears to have the same magnitude of effect in individuals of African and European descent.

Published
2020

93. The Trans-Ancestral Genomic Architecture of Glycaemic Traits

Author

Hugoline G. de Haan, Andrew A. Hicks, Achilleas Pitsilides, Fernando Pires Hartwig, Richard A. Jensen, Matti Uusitupa, Anders Hamsten, Dennis O. Mook-Kanamori, Zorayr Arzumanyan, Betina H. Thuesen, Karin Leander, Fernando Rivideneira, Lynne E. Wagenknecht, Andrew R. Wood, Annique Claringbould, Ele Ferranni, Sölve Elmståhl, Eleanor Wheeler, Sharon L.R. Kardia, Richa Saxena, Tatijana Zemunik, Cassandra N. Spracklen, Ken K. Ong, Xiao-Ou Shu, Johannes Waage, Blair H. Smith, Rozenn N. Lemaitre, Torben Hansen, Peter K. Joshi, Lisa R. Yanek, Neil R. Robertson, Sven Bergmann, Mila Desi Anasanti, Inger Njølstad, Ananda R. Wickremasinghe, Xu Lin, Harold Snieder, Wanqing Wen, Veronique Vitart, Paul R. H. J. Timmers, Timo Saaristo, James F. Wilson, Tian Xie, Tao Huang, Rainer Rauramaa, Kei Hang, Rebecca Rohde, Li-Ching Chang, Jing Hua Zhao, Kazuya Setoh, Yasuharu Tabara, Michael Stumvoll, Mark O. Goodarzi, Igor Rudan, James B. Meigs, Jaakko Tuomilehto, Richard M. Watanabe, Ruth J. F. Loos, Reedik Mägi, Jouke-Jan Hottenga, Ozren Polasek, Michael Y. Tsai, Donald W. Bowden, Diana Kuh, Erik B. van den Akker, Yii-Der Ida Chen, Daniel I. Chasman, Weihua Zhang, Nicholette D. Palmer, Marcus E. Kleber, Anny H. Xiang, Chang-Hsun Hsieh, Alan B. Zonderman, Stefan Gustafsson, Timo A. Lakka, Brian H. Chen, Dermot F. Reilly, Francis S. Collins, Oluf Pedersen, Corri Black, Yang Hai, Zoltán Kutalik, Yoriko Heianza, Willa A. Hsueh, Vilmundur Gudnason, Robert C. Kaplan, Jun Liu, Michael A. Province, Aliki-Eleni Farmaki, Stephen S. Rich, Jian'an Luan, Erik Ingelsson, Marie Loh, Michael Preuss, Lars Lind, Stefan R. Bornstein, Mandy Vogel, Colin N. A. Palmer, Fumihiko Matsuda, Takahisa Kawaguchi, Sohee Han, Ching-Ti Liu, Young-Jin Kim, L. Southam, Sara M. Willems, Mickaël Canouil, Robert A. Scott, Marika Kaakinen, Stephan J. L. Bakker, Momoko Horikoshi, Tarunveer S. Ahluwalia, Annette Schürmann, Graciela E. Delgado, Thibaud S. Boutin, Thomas Sparsø, Sandosh Padmanabhan, Fouad Kandeel, Eco J. C. de Geus, Anubha Mahajan, Claudia Schurmann, Klaus Bønnelykke, Leslie A. Lange, Qing Duan, Rona J. Strawbridge, Dennis Raven, Gonçalo R. Abecasis, Mitsuhiro Yokota, Jani Heikkinen, Elizabeth Selvin, Audrey Y. Chu, Anke Tönjes, Marta E. Alarcón-Riquelme, Hans Bisgaard, P. Eline Slagboom, Eric Boerwinkle, Massimo Mangino, Catharina A. Hartman, Geltrude Mingrone, Lenore J. Launer, Michael Boehnke, Emil V. R. Appel, Niels Grarup, Arushi Varshney, Archie Campbell, Kari E. North, W. Craig Johnson, Inês Barroso, Ya X. Wang, Carola Marzi, Anuj Goel, Eleftheria Zeggini, Lu Qi, Yasumasa Ohyagi, Tien Yin Wong, Tanja G. M. Vrijkotte, Gudny Eiriksdottir, Harald Grallert, Ishminder K. Kooner, Trevor A. Mori, Jagadish Vangipurapu, Laura J Corbin, Tomohiro Katsuya, Wen B. Wei, Segun Fatumo, Debashree Ray, Annette Peters, Lori L. Bonnycastle, Ilja M. Nolte, M. Arfan Ikram, Manjinder S. Sandhu, Marit E. Jørgensen, Christian Herder, Damia Noce, Sarah C. Nelson, Chien-Hsiun Chen, Heather M. Stringham, Yong-Bing Xiang, Bruce M. Psaty, Alain G. Bertoni, Gaëlle Marenne, Timothy M. Frayling, Jose C. Florez, Penny Gordon-Larsen, Yu-Tang Gao, Abhishek Nag, Damiano Baldassarre, J. Wouter Jukema, Wei Huang, Yi-Cheng Chang, Albertine J. Oldehinkel, Xiaoshuai Zhang, Yujie Wang, Shaofeng Huo, Xueling Sim, Norihiro Kato, Bernhard O. Böhm, Lorraine Southam, Mari Nelis, Gonneke Willemsen, Laura J. Rasmussen-Torvik, Philippe Froguel, Charumathi Sabanayagam, Leif Groop, Loic Yengo, Shi Jinxiu, Adolfo Correa, Serena Sanna, Arne Astrup, Teemu Kuulasmaa, Symen Ligthart, Shih-Yi Lin, David J. Porteous, Harry Campbell, Peter Vollenweider, Mark J. Caulfield, Kristi Läll, Anne Ndungu, Carl D. Langefeld, Tanya M. Teslovich, Heikki A. Koistinen, Ying Wu, Mattias Frånberg, D.I. Boomsma, Lawrence F. Bielak, Diana van Heemst, Peter Kovacs, Markku Laakso, Leslie J. Raffel, Katharina E. Schraut, Noël P. Burtt, Michiya Igase, Craig E. Pennell, Claudia Langenberg, Huaixing Li, Teresa Tusie, Laura M. Raffield, Jorgen Engmann, Stephen C. J. Parker, Michele K. Evans, Chaolong Wang, Rico Rueedi, Jianjun Liu, Pankow S. James, Hortensia Moreno-Macías, Fumihiko Takeuchi, Cornelia M. van Duijn, Sanghoon Moon, Susan R. Heckbert, Thomas A. Buchanan, Ko Willems van Dijk, Toru Nabika, May E. Montasser, Caroline Hayward, Jie Yao, Aaron Leong, Antje Körner, Jouko Saramies, Jost B. Jonas, Pim van der Harst, Naveed Sattar, Helen R. Warren, Alice Stanton, Yen-Feng Chiu, Kumaraswamy Naidu Chitrala, Mi Yeong Hwang, Jin Fang Chai, Alicia Huerta-Chagoya, Anette P. Gjesing, Ching-Yu Cheng, Debbie A Lawlor, Simin Liu, Man Li, Ivana Kolcic, Erwin P. Bottinger, Andrew Wong, Stella Trompet, Heming Wang, Jirong Long, Xiuqing Guo, Jeffrey R. O'Connell, Meena Kumari, Sirkka Keinänen-Kiukaanniemi, Rita R. Kalyani, Bengt Sennblad, Mohammad Hadi Zafarmand, Kent D. Taylor, Katherine A. Kentistou, Carol A. Wang, Shuiqing Lai, Patricia B. Munroe, Patricia A. Peyser, Lawrence J. Beilin, Niek Verweij, Inga Prokopenko, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Ping An, Matthias Blüher, Isobel D. Stewart, Alexander P. Reiner, Anna L. Gloyn, Simon P. Mooijaart, Tim D. Spector, Paul W. Franks, Wei Zhao, Andres Metspalu, Wieland Kiess, Kathleen A. Ryan, Astrid van Hylckama Vlieg, Jaana Lindström, Wei Zheng, E. Shyong Tai, Josée Dupuis, Nanette R. Lee, Laura J. Scott, Nicholas J. Timpson, George Dedoussis, Mark I. McCarthy, Tatsuaki Matsubara, Carlos Lorenzo, Denis Rybin, Luigi Ferruci, Chelsea K. Raulerson, Mika Kivimäki, Paul M. Ridker, Jer-Yuarn Wu, Shufa Du, Jaeyoung Hong, Linda S. Adair, Tin Louie, Valeriya Lyssenko, Susan Redline, Kelvin Lam, Qibin Qi, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Sahoko Ichihara, Nicholas J. Wareham, Ayse Demirkan, Francesco Cucca, Allan Linneberg, Rob M. van Dam, Claire J. Steves, Liang Sun, Albert V. Smith, Raymond Noordam, Tom Wilsgaard, Winfried März, Jung Ho Gong, Matt J. Neville, Jerry L. Nadler, Giorgio Pistis, Karen L. Mohlke, Bruna Gigante, Jennifer A. Brody, Andrew P. Morris, Marie Lauzon, Peter E. H. Schwarz, Bernardo L. Horta, Xiaoran Chai, Ji Chen, Peter S. Sever, Thorkild I. A. Sørensen, André G. Uitterlinden, Javier Gayán, Elena Tremoli, Girish N. Nadkarni, Najaf Amin, Hugh Watkins, Johanna Kuusisto, Jingyi Tan, Sameline Grimsgaard, Bong-Jo Kim, Kerrin S. Small, Jill M. Norris, Cecilia M. Lindgren, Richard N. Bergman, Mark Walker, Henrik Vestergaard, Larissa Aviles-Santa, Jing He, Masahiro Nakatochi, Peter P. Pramstaller, Chiea Chuen Khor, Ruifang Li-Gao, Qiuyin Cai, Neil Schneiderman, Kevin Sandow, Jaspal S. Kooner, Carlos A. Aguilar-Salinas, Peitao Wu, Jerome I. Rotter, Kathryn Roll, Frits R. Rosendaal, Diane M. Becker, Marian Beekman, Claudia P. Cabrera, Nan Wang, Franco Giulianini, Tao Wang, Honglan Li, Abbas Dehghan, Christian Fuchsberger, and Pontiano Kaleebu

Subjects
0303 health sciences, medicine.medical_specialty, business.industry, Type 2 diabetes, medicine.disease, Fasting insulin, Fasting glucose, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Internal medicine, Diabetes mellitus, medicine, Genomic architecture, business, Glycated haemoglobin, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract

Glycaemic traits are used to diagnose and monitor type 2 diabetes, and cardiometabolic health. To date, most genetic studies of glycaemic traits have focused on individuals of European ancestry. Here, we aggregated genome-wide association studies in up to 281,416 individuals without diabetes (30% non-European ancestry) with fasting glucose, 2h-glucose post-challenge, glycated haemoglobin, and fasting insulin data. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P-8), 80% with no significant evidence of between-ancestry heterogeneity. Analyses restricted to European ancestry individuals with equivalent sample size would have led to 24 fewer new loci. Compared to single-ancestry, equivalent sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.

Published
2020
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94. A Sardinian founder mutation in GP1BB that impacts thrombocytopenia

Author

Gabriella Sole, Marco Masala, Sandra Lai, Valeria Orrù, Francesca Deidda, Mauro Pala, Magdalena Zoledziewska, Antonella Mulas, Matteo Floris, Andrea Maschio, Edoardo Fiorillo, Serena Sanna, Gonçalo R. Abecasis, Michele Marongiu, Isadora Asunis, Carlo Sidore, Maristella Steri, Cristian Antonio Caria, Francesco Cucca, Paola Forabosco, Fabio Busonero, Susanna Barella, Maristella Pitzalis, David Schlessinger, and Stefania Olla

Subjects
Genetics, education.field_of_study, Population, Mutation (genetic algorithm), Missense mutation, Platelet, Biology, Compound heterozygosity, education, Founder mutation, Genetic association, Enlarged platelets
Abstract

To investigate the genetic regulation of platelet (PLT) levels we carried out a whole-genome association analysis in 6,528 Sardinians from the general population of the Lanusei valley. We found 6 variants significantly influencing PLT levels, including a novel rare missense mutation (p.Pro27Ser) in the GP1BB protein that is associated with PLT reduction (P=1.17×10−16). This mutation is rare in the SardiNIA population cohort (frequency of 0.45%), even rarer in the rest of the Sardinian island (frequency of 0.16%), and not reported elsewhere. Notably, GP1BB is involved in Bernard-Soulier syndrome (BSS), a rare autosomal recessive bleeding disorder caused by a defect in the platelet GPIb-IX-V protein complex. Consistently, the 57 identified individuals heterozygous for the p.P27S mutation showed mild thrombocytopenia, morphologically enlarged platelets (P=2.13×10−10), and reduced expression of two GPIb-IX-V-complex components: GPIbα (−26.51%, P=3.66×10−8) and GPIX (−24.69%, P=2.66×10−6). Molecular modeling infers a corresponding reduction in the stability of GP1BB. These observations predict that in homozygosity as well as in individuals carrying specific compound heterozygous configurations, this variant likely causes BSS.

Published
2020
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95. Robust, flexible, and scalable tests for Hardy-Weinberg Equilibrium across diverse ancestries

Author

Daniel E. Weeks, Matthew P. Conomos, Tanika N. Kelly, John Barnard, Celeste Eng, Daniel I. Chasman, Gina M. Peloso, L. Adrienne Cupples, Hyun Min Kang, Dan M. Roden, Angel C.Y. Mak, Yan Gao, Xiuqing Guo, Nicholette D. Palmer, Dandi Qiao, Eric Boerwinkle, Nicholas L. Smith, Marguerite R. Irvin, May E. Montasser, Patrick T. Ellinor, Alan Kwong, Gonçalo R. Abecasis, Kathleen C. Barnes, Courtney G. Montgomery, Jennifer A. Smith, Solomon K. Musani, Brian E. Cade, Michael Boehnke, John Blangero, Jessica Lasky-Su, Thomas W. Blackwell, Laura J. Scott, Wonji Kim, Esteban G. Burchard, Jonathon LeFaive, Hemant K. Tiwari, Rasika A. Mathias, Alexander P. Reiner, Charles Kooperberg, M. Benjamin Shoemaker, Albert V. Smith, Ani Manichaikul, Steven A. Lubitz, Mariza de Andrade, Han Chen, and Scott T. Weiss

Subjects
Exact test, Computer science, Metric (mathematics), Scalability, Statistics, False positive paradox, Hardy–Weinberg principle, Genotyping, Statistical power
Abstract

Traditional Hardy-Weinberg equilibrium (HWE) tests (the χ2 test and the exact test) have long been used as a metric for evaluating genotype quality, as technical artifacts leading to incorrect genotype calls often can be identified as deviations from HWE. However, in datasets comprised of individuals from diverse ancestries, HWE can be violated even without genotyping error, complicating the use of HWE testing to assess genotype data quality. In this manuscript, we present the Robust Unified Test for HWE (RUTH) to test for HWE while accounting for population structure and genotype uncertainty, and evaluate the impact of population heterogeneity and genotype uncertainty on the standard HWE tests and alternative methods using simulated and real sequence datasets. Our results demonstrate that ignoring population structure or genotype uncertainty in HWE tests can inflate false positive rates by many orders of magnitude. Our evaluations demonstrate different tradeoffs between false positives and statistical power across the methods, with RUTH consistently amongst the best across all evaluations. RUTH is implemented as a practical and scalable software tool to rapidly perform HWE tests across millions of markers and hundreds of thousands of individuals while supporting standard VCF/BCF formats. RUTH is publicly available at https://www.github.com/statgen/ruth.

Published
2020
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96. GWAS of stool frequency reveals genes, pathways, and cell types relevant to human gastrointestinal motility and irritable bowel syndrome

Author

Lars Agréus, Andre Franke, Gonçalo R. Abecasis, Luis Bujanda, Nicholas J. Timpson, Xingrong Liu, Mauro D'Amato, Alexander Kurilshikov, Luke Jostins, Ferdinando Bonfiglio, Jeroen Raes, Chris Eijsbouts, Miles Parkes, David A. Hughes, Koldo Garcia-Etxebarria, Anita Pandit, Christopher Smillie, Michael Camilleri, Anna Andreasson, Rodrigo Bacigalupe, Nicholas A. Kennedy, Aviv Regev, Tenghao Zheng, Susanna Walter, Alexandra Zhernakova, Hieu T. Nim, and Magnus Simren

Subjects
education.field_of_study, biology, business.industry, Population, Genome-wide association study, Quantitative trait locus, Gut flora, medicine.disease, Bioinformatics, biology.organism_classification, Genetic architecture, Diarrhea, Genotype, medicine, medicine.symptom, education, business, Irritable bowel syndrome
Abstract

ObjectiveGut dysmotility is associated with constipation, diarrhea, and functional gastrointestinal disorders (FGID) like irritable bowel syndrome (IBS). Its molecular underpinnings, and their anomalies in FGID disorders are poorly characterized, hence we sought to gain mechanistic insight through a large-scale genetic investigation.DesignWe used stool frequency (STL-FRQ) as a (surrogate) quantitative trait to study the genetics of gut motility, exploiting questionnaire and genotype data from UK Biobank and four smaller population-based cohorts (LifeLines-Deep, Genes for Good, Flemish Gut Flora Project and PopCol), in a GWAS meta-analysis spanning 8,817,117 high-quality SNP markers and 167,875 individuals of European descent.ResultsWe identify 13 genome-wide significant loci (P≤5.0×10−8) harboring prioritized genes that are: i) involved in sensory perception and neurotransmitter/neuropeptide signaling; ii) enriched for their expression in enteric motor neurons associated with the control of peristalsis (P=7.0×10−8) iii) previously linked to other traits and conditions, including GI motility and dysmotility syndromes, and the response to their pharmacological treatment. The genetic architecture of STL-FRQ most strongly correlates with that of IBS (rg=0.42; P=1.1×10−3). In UK Biobank, the risk of IBS with diarrhea was 4x higher in individuals from the top 1% of the distribution of polygenic scores (PGS) computed based on STL-FRQ GWAS summary statistics (ORs=4.14; P=1.2×10−97).ConclusionWe identify loci harboring genes with a plausible role in GI motility, possibly acting via neurotransmission and similar pathways in specialized enteric neurons. The demonstrated relevance of these findings to IBS warrants further study for the identification of actionable pathomechanisms in the dysmotility syndromes.

Published
2020
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97. Retinal transcriptome and eQTL analyses identify genes associated with age-related macular degeneration

Author

Nilanjan Chatterjee, Lars G. Fritsche, Gonçalo R. Abecasis, Linn Gieser, Rinki Ratnapriya, Marios Arvanitis, Alexis Battle, Emily Y. Chew, Deborah A. Ferrington, Sandra R. Montezuma, Alexandra Pietraszkiewicz, Madeline Kwicklis, Margaret R. Starostik, Olukayode A. Sosina, Anand Swaroop, Ashley Walton, and Rebecca J. Kapphahn

Subjects
Genotype, genetic structures, Quantitative Trait Loci, Genome-wide association study, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, Retina, Transcriptome, Macular Degeneration, 03 medical and health sciences, 0302 clinical medicine, Genetics, Humans, Genetic Predisposition to Disease, Gene, 030304 developmental biology, Genetic association, 0303 health sciences, Gene Expression Profiling, Phenotype, eye diseases, Gene Expression Regulation, Case-Control Studies, Expression quantitative trait loci, sense organs, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Genome-wide association studies (GWAS) have identified genetic variants at 34 loci contributing to age-related macular degeneration (AMD)1–3. We generated transcriptional profiles of postmortem retina from 453 controls and cases at distinct stages of AMD and integrated retinal transcriptomes, covering 13,662 protein-coding and 1,462 non-coding genes, with genotypes at over 9 million common single nucleotide polymorphisms (SNPs) for expression quantitative trait loci (eQTL) analysis of a tissue not included in Genotype-Tissue Expression (GTEx) and other large datasets4, 5. Cis-eQTL analysis identified 10,474 genes under genetic regulation, including 4,541 eQTLs detected only in the retina. Integrated analysis of AMD-GWAS with eQTLs ascertained likely target genes at six reported loci. Using transcriptome-wide association analysis (TWAS), we identified three additional genes, RLBP1, HIC1 and PARP12, after Bonferroni correction. Our studies expand the genetic landscape of AMD and establish the Eye Genotype Expression (EyeGEx) database as a resource for post-GWAS interpretation of multifactorial ocular traits.

Published
2019
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98. The FANC/BRCA Pathway Releases Replication Blockades by Eliminating DNA Interstrand Cross-Links

Author

Gonçalo R. Abecasis, Michael Boehnke, Scott I. Vrieze, William G. Iacono, Xiaowei Zhan, Kenneth Krauter, John E. Hokanson, John K. Hewitt, Matt McGue, Mengzhen Liu, Gregory J.M. Zajac, Anita Pandit, Bibo Jiang, Yu Jiang, Markku Laakso, Sharon M. Lutz, Dajiang J. Liu, Sai Chen, Kevin Li, Xingyan Wang, Intégrité du génome et cancers (IGC), and Institut Gustave Roussy (IGR)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)

Subjects
0301 basic medicine, Association test, lcsh:QH426-470, Computer science, [SDV]Life Sciences [q-bio], DNA repair, Genome-wide association study, Antineoplastic Agents, Computational biology, Review, ENCODE, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Neoplasms, Genetics, Humans, Allele, Genetics (clinical), Sequence (medicine), BRCA2 Protein, Fanconi Anemia Complementation Group A Protein, BRCA1 Protein, genomic instability, Replication (computing), 3. Good health, FANC/BRCA pathway, lcsh:Genetics, 030104 developmental biology, Fanconi Anemia, chemistry, Drug Resistance, Neoplasm, 030220 oncology & carcinogenesis, Meta-analysis, interstrand cross-link (ICL), DNA, Signal Transduction
Abstract

International audience; DNA interstrand cross-links (ICLs) represent a major barrier blocking DNA replication fork progression. ICL accumulation results in growth arrest and cell death-particularly in cell populations undergoing high replicative activity, such as cancer and leukemic cells. For this reason, agents able to induce DNA ICLs are widely used as chemotherapeutic drugs. However, ICLs are also generated in cells as byproducts of normal metabolic activities. Therefore, every cell must be capable of rescuing lCL-stalled replication forks while maintaining the genetic stability of the daughter cells in order to survive, replicate DNA and segregate chromosomes at mitosis. Inactivation of the Fanconi anemia/breast cancer-associated (FANC/BRCA) pathway by inherited mutations leads to Fanconi anemia (FA), a rare developmental, cancer-predisposing and chromosome-fragility syndrome. FANC/BRCA is the key hub for a complex and wide network of proteins that-upon rescuing ICL-stalled DNA replication forks-allows cell survival. Understanding how cells cope with ICLs is mandatory to ameliorate ICL-based anticancer therapies and provide the molecular basis to prevent or bypass cancer drug resistance. Here, we review our state-of-the-art understanding of the mechanisms involved in ICL resolution during DNA synthesis, with a major focus on how the FANC/BRCA pathway ensures DNA strand opening and prevents genomic instability.

Published
2020
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99. Association of mitochondrial DNA copy number with cardiometabolic diseases in a large cross-sectional study of multiple ancestries

Author

Patricia A. Peyser, Tamar Sofer, Joshua C. Bis, Ryan J. Longchamps, Susan R. Heckbert, Daniel Levy, Bharat Thyagarajan, Gonçalo R. Abecasis, Xiuqing Guo, Xue Liu, Sudha Seshadri, Laura M. Raffield, Jennifer A. Smith, Kent D. Taylor, Myriam Fornage, Eric Boerwinkle, Stephen S. Rich, Achilleas N. Pitsillides, Lawrence F. Bielak, Adolfo Correa, Dan E. Arking, Thomas W. Blackwell, Bruce M. Psaty, James G. Wilson, Ramachandran S. Vasan, Nathan Pankratz, Claudia L. Satizabal, Wei Zhao, Jerome I. Rotter, Chunyu Liu, Jun Ding, Kerri L. Wiggins, L. Adrienne Cupples, Annette L. Fitzpatrick, Megan L. Grove, Nicholas B. Larson, and Nuzulul Kurniansyah

Subjects
0303 health sciences, Mitochondrial DNA, medicine.medical_specialty, Cross-sectional study, business.industry, 030204 cardiovascular system & hematology, medicine.disease, Obesity, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, White blood cell, Internal medicine, Cohort, Hyperlipidemia, medicine, business, 030304 developmental biology, Genetic association, Whole blood
Abstract

AimsWe tested the hypothesis that mitochondrial DNA copy number (CN) is associated with cardiometabolic disease (CMD) traits.Methods and resultsWe determined the cross-sectional association of mtDNA CN measured in whole blood with several CMD traits in 65,996 individuals (mean age 60, 54% women, and 79% European descent). Cohort- and ancestry/ethnicity-specific association analysis was performed adjusting for trait- and cohort-specific covariates. Age was slightly positively associated with age (0.03 s.d. / 10 years (95% CI=0.01, 0.05)) before 65 years, while every 10 years older age was associated with 0.14 s.d. lower level of mtDNA CN after 65 years (95% CI= -0.18, -0.10). In meta-analysis without adjustment for white blood cell (WBC) and differential count in participants of European descent (N=52,491), low mtDNA CN was associated with increased odds of obesity (OR with 95% CI=1.13 (1.11, 1.16), P=3.3e-30) and hypertension (OR=1.05 (1.03, 1.08), P=4.0e-07). Further adjusting for WBC and differential count in the same participants of European descent (N=44,035), associations became non-significant (P>0.05) for hypertension, attenuated for obesity (ORwithout cell count=1.15 (1.12, 1.18) versus ORcell count=1.06 (1.03, 1.08)) but strengthened for hyperlipidemia (ORwithout cell counts=1.03 (1.00, 1.06) versus ORcell counts=1.06 (1.03, 1.09)). The magnitude and directionality of most associations were consistent between participants of European descent and other ethnicity/ancestry origins.ConclusionLow levels of mtDNA CN in peripheral blood were associated with an increased risk of CMD diseases.

Published
2020
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100. LabWAS: novel findings and study design recommendations from a meta-analysis of clinical labs in two independent biobanks

Author

Gonçalo R. Abecasis, Joshua S. Weinstock, Lisa Bastarache, Lars G. Fritsche, Joshua C. Denny, Chad M. Brummett, Matthew Zawistowski, Ellen M. Schmidt, Daniel B. Larach, Jeffery A. Goldstein, and Sachin Kheterpal

Subjects
Michigan, Cancer Research, Future studies, Computer science, Physiology, Electronic Medical Records, Genome-wide association study, Health records, QH426-470, Health data, Cohort Studies, White Blood Cells, Mathematical and Statistical Techniques, 0302 clinical medicine, Animal Cells, Red Blood Cells, Medicine and Health Sciences, Electronic Health Records, Medical diagnosis, Genetics (clinical), Biological Specimen Banks, 0303 health sciences, Library Science, Statistics, Genomics, Metaanalysis, Biobank, Body Fluids, Blood, Phenotype, Meta-analysis, Physical Sciences, Cohort, Anatomy, Cellular Types, Information Technology, Research Article, Computer and Information Sciences, Immune Cells, Immunology, MEDLINE, Biology, Research and Analysis Methods, Polymorphism, Single Nucleotide, 03 medical and health sciences, Quantitative Trait, Heritable, Genome-Wide Association Studies, Genetics, Humans, Statistical Methods, Molecular Biology, Genetic Association Studies, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Blood Cells, Biology and Life Sciences, Computational Biology, Human Genetics, Health Information Technology, Cell Biology, Genome Analysis, Data science, Health Care, Blood Counts, Catalogs, Mathematics, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Phenotypes extracted from Electronic Health Records (EHRs) are increasingly prevalent in genetic studies. EHRs contain hundreds of distinct clinical laboratory test results, providing a trove of health data beyond diagnoses. Such lab data is complex and lacks a ubiquitous coding scheme, making it more challenging than diagnosis data. Here we describe the first large-scale cross-health system genome-wide association study (GWAS) of EHR-based quantitative laboratory-derived phenotypes. We meta-analyzed 70 lab traits matched between the BioVU cohort from the Vanderbilt University Health System and the Michigan Genomics Initiative (MGI) cohort from Michigan Medicine. We show high replication of known association for these traits, validating EHR-based measurements as high-quality phenotypes for genetic analysis. Notably, our analysis provides the first replication for 699 previous GWAS associations across 46 different traits. We discovered 31 novel associations at genome-wide significance for 22 distinct traits, including the first reported associations for two lab-based traits. We replicated 22 of these novel associations in an independent tranche of BioVU samples. The summary statistics for all association tests are freely available to benefit other researchers. Finally, we performed mirrored analyses in BioVU and MGI to assess competing analytic practices for EHR lab traits. We find that using the mean of all available lab measurements provides a robust summary value, but alternate summarizations can improve power in certain circumstances. This study provides a proof-of-principle for cross health system GWAS and is a framework for future studies of quantitative EHR lab traits., Author summary Electronic Health Records (EHRs) have emerged as an abundant data source for deriving phenotypes used in genetic association studies. EHRs provide a broad range of clinical data in large health system cohorts and are readily incorporated into large-scale meta-analyses. The abundance of available data in EHRs introduces unique technical challenges, particularly longitudinal clinical lab measurements which lack the structure of more commonly used disease diagnosis codes. Conflicting strategies exist in the literature and it is not clear how portable these strategies are across health systems. In this study we performed a proof-of-principle meta-analysis of 70 clinical lab traits in two large-scale health systems: BioVU from Vanderbilt University and the Michigan Genomics Initiative from Michigan Medicine. Despite the challenges of matching labs across the two health systems, we observed a high replication rate for known genetic variants. Further, we identified 31 novel associations, 22 of which replicated in an independent BioVU cohort, indicating the potential for future meta-analyses. Finally, we explored the impact of various analytic strategies, looking for consistent effects between our two cohorts, to determine optimal strategies for future genetic analysis of EHR-derived lab traits.

Published
2020
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