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1. The Y Chromosome: A Complex Locus for Genetic Analyses of Complex Human Traits

Author

Katherine Parker, Santiago Rodriguez, A. Mesut Erzurumluoglu, Erzurumluoglu, A Mesut [0000-0003-1322-8138], Rodriguez, Santiago [0000-0001-6551-932X], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Male, Multifactorial Inheritance, genetic epidemiology, Y haplogroups, Genetic genealogy, Quantitative Trait Loci, Population genetics, Locus (genetics), Review, genetic association analyses, Biology, Y chromosome, Haplogroup, 03 medical and health sciences, complex locus, 0302 clinical medicine, Genetic variation, Genetics, Humans, Genetics (clinical), Genetic Association Studies, Genetic association, Recombination, Genetic, Molecular Epidemiology, Chromosomes, Human, Y, Models, Genetic, Genetic Variation, Sex Determination Processes, 030104 developmental biology, Genetics, Population, Genetic epidemiology, Haplotypes, Evolutionary biology, complex human traits, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

The Human Y chromosome (ChrY) has been demonstrated to be a powerful tool for phylogenetics, population genetics, genetic genealogy and forensics. However, the importance of ChrY genetic variation in relation to human complex traits is less clear. In this review, we summarise existing evidence about the inherent complexities of ChrY variation and their use in association studies of human complex traits. We present and discuss the specific particularities of ChrY genetic variation, including Y chromosomal haplogroups, that need to be considered in the design and interpretation of genetic epidemiological studies involving ChrY.

Published
2020
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2. Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use

Author

Michael Boehnke, Anke R. Hammerschlag, Stavroula Kanoni, Nilesh J. Samani, Stefan Blankenberg, Arpana Agrawal, Ersin Yavas, Chris Hsu, Dominique Arveiler, Giovanni Veronesi, Sarah E. Harris, Guillaume Lettre, Leah Wetherill, Helen R. Warren, M Samuel, Manav Kapoor, Praveen Surendran, Mengzhen Liu, Massimo Mangino, Abdulla Al Shafi Majumder, Chiara Batini, Jeff Haessler, Anton J. M. De Craen, Matt McGue, Laura J. Bierut, Yi Ling Chou, Markku Laakso, Ian J. Deary, Rebecca Rohde, Nhung Le, David Schlessinger, J. Dylan Weissenkampen, Claudia Langenberg, Tim D. Spector, Paul W. Franks, John P. Rice, Philippe M. Frossard, Hanieh Yaghootkar, Janie Corley, Frank Kee, J. Wouter Jukema, Pim van der Harst, Dermot F. Reily, Jenny Chang-Claude, Nicholas G. Martin, Tatiana Foroud, Sune F. Nielsen, Charles Kooperberg, Rudolf A. de Boer, Francesco Cucca, Paul D.P. Pharoah, Alex P. Reiner, Daniel R. Barnes, Anders Mälarstig, Jonathan Marten, Henry Völzke, Yu Jiang, Jukka Kontto, J Danesh, Antonis C. Antoniou, Andrew C. Heath, Nicholas J. Wareham, Joanna M. M. Howson, Alison Goate, Olov Rolandsson, Frida Renström, Chu Chen, Vinicius Tragante, Matt J. Neville, Kathleen Stirrups, Clemens Baumbach, Colin N. A. Palmer, Adam S. Butterworth, William G. Iacono, Naveed Sattar, Ian P. Hall, Daniel O. Stram, Giorgio Pistis, Jan-Håkan Jansson, Jaakko Kaprio, David R. Weir, David P. Strachan, Martin D. Tobin, Folkert W. Asselbergs, John M. Starr, Stefan Weiss, Thomas F. Vogt, Riccardo E. Marioni, Maarten Hoek, Jessica Tyrrell, Hilary A. Tindle, Alison M. Dunning, Anu Loukola, Joe Dennis, Victoria E. Jackson, Louise V. Wain, Eleftheria Zeggini, Weihua Zhang, Yaming Shao, Kari Kuulasmaa, Elisabeth Altmaier, Jean-Claude Tardif, Jian Gong, A. Mesut Erzurumluoglu, Andries R. van der Leij, Kari E. North, Anna F. Dominiczak, Martina Müller-Nurasyid, Scott I. Vrieze, Sarah Bertelsen, Markus Perola, Evangelos Evangelou, Chris J. Packard, Gonçalo R. Abecasis, Robert A. Scott, S. Trompet, Jennifer A. Smith, H. Steven Scholte, Timothy M. Frayling, Danielle Posthuma, Ian Ford, Douglas F. Easton, Børge Grønne Nordestgaard, Michiel L. Bots, Charles B. Eaton, Sharon L.R. Kardia, Dewan S. Alam, Xiaowei Zhan, Sean P. David, Maria Uria-Nickelsen, Dongbing Lai, Ilonca Vaartjes, Mark J. Caulfield, Valérie Turcot, Jean Ferrières, Emanuele Di Angelantonio, Robin Young, Pamela A. F. Madden, Tibor V. Varga, Asif Rasheed, Peter van der Meer, Dajiang J. Liu, Ioanna Tachmazidou, Panos Deloukas, Danish Saleheen, Evelin Mihailov, Caroline Hayward, Patricia B. Munroe, Beenish Qaiser, Jessica D. Faul, John C. Chambers, Matthias Nauck, Niek Verweij, Jordan M. Hughey, Christopher A. Haiman, Hans J. Grabe, Muriel Caslake, Saima Afaq, Jaspal S. Kooner, Tinca J. C. Polderman, Philippe Amouyel, Wei Zhao, Göran Hallmans, Andres Metspalu, Jarmo Virtamo, Carl A. Melbourne, Kaixin Zhou, Christiaan de Leeuw, Peter S. Sever, Eirini Marouli, Neil Poulter, Rajiv Chowdhury, Jian'an Luan, Deborah J. Thompson, F Karpe, Kyriaki Michailidou, David M. Brazel, Heather M. Stringham, Brein en Cognitie (Psychologie, FMG), Psychology Other Research (FMG), Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Graduate School, Experimental Vascular Medicine, ACS - Diabetes & metabolism, Amsterdam Cardiovascular Sciences, ACS - Atherosclerosis & ischemic syndromes, AGEM - Digestive immunity, AGEM - Endocrinology, metabolism and nutrition, Laboratory Genetic Metabolic Diseases, Gastroenterology and Hepatology, Experimental Immunology, Radiotherapy, Cardiology, HUSLAB, Institute for Molecular Medicine Finland, Department of Public Health, Genetic Epidemiology, Barnes, Daniel [0000-0002-3781-7570], Erzurumluoglu, Mesut [0000-0003-1322-8138], Apollo - University of Cambridge Repository, Biological Psychology, and Complex Trait Genetics

Subjects
0301 basic medicine, Nonsynonymous substitution, Genome-wide association study, 3124 Neurology and psychiatry, 0302 clinical medicine, DEPENDENCE, Genotype, Databases, Genetic, SEQUENCE VARIANTS, GWAS, Exome, Non-U.S. Gov't, Oligonucleotide Array Sequence Analysis, Genetics, RISK, HERITABILITY, Research Support, Non-U.S. Gov't, Smoking, ASSOCIATION, 3. Good health, ADH1B, Phenotype, Behavioral genetics, LOW-FREQUENCY, Alcohol, Heritability, Nicotine, Tobacco, Alcohol Drinking, Non-P.H.S, Single-nucleotide polymorphism, Biology, Research Support, Polymorphism, Single Nucleotide, N.I.H, 03 medical and health sciences, Research Support, N.I.H., Extramural, SDG 3 - Good Health and Well-being, Genetic variation, Journal Article, Humans, Genetic Predisposition to Disease, COMMON, Biological Psychiatry, 3112 Neurosciences, Genetic Variation, Extramural, MISSENSE VARIANTS, R1, Genetic architecture, 030104 developmental biology, U.S. Gov't, 030217 neurology & neurosurgery, Research Support, U.S. Gov't, Non-P.H.S, Genome-Wide Association Study
Abstract

BackgroundSmoking and alcohol use have been associated with common genetic variants in multiple loci. Rare variants within these loci hold promise in the identification of biological mechanisms in substance use. Exome arrays and genotype imputation can now efficiently genotype rare nonsynonymous and loss of function variants. Such variants are expected to have deleterious functional consequences and to contribute to disease risk.MethodsWe analyzed ∼250,000 rare variants from 16 independent studies genotyped with exome arrays and augmented this dataset with imputed data from the UK Biobank. Associations were tested for five phenotypes: cigarettes per day, pack-years, smoking initiation, age of smoking initiation, and alcoholic drinks per week. We conducted stratified heritability analyses, single-variant tests, and gene-based burden tests of nonsynonymous/loss-of-function coding variants. We performed a novel fine-mapping analysis to winnow the number of putative causal variants within associated loci.ResultsMeta-analytic sample sizes ranged from 152,348 to 433,216, depending on the phenotype. Rare coding variation explained 1.1% to 2.2% of phenotypic variance, reflecting 11% to 18% of the total single nucleotide polymorphism heritability of these phenotypes. We identified 171 genome-wide associated loci across all phenotypes. Fine mapping identified putative causal variants with double base-pair resolution at 24 of these loci, and between three and 10 variants for 65 loci. Twenty loci contained rare coding variants in the 95% credible intervals.ConclusionsRare coding variation significantly contributes to the heritability of smoking and alcohol use. Fine-mapping genome-wide association study loci identifies specific variants contributing to the biological etiology of substance use behavior.

Published
2019
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3. Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets

Author

Stefan Enroth, Robert J. Hall, James D. Crapo, Frederick E. Dewey, Victoria E. Jackson, Eleftheria Zeggini, Gudmar Thorleifsson, Terho Lehtimäki, David J. Porteous, Nicole Probst-Hensch, Ian J. Deary, A. Mesut Erzurumluoglu, Bram P. Prins, Maarten van den Berge, Craig E. Pennell, Catherine John, Terri H. Beaty, Claudia Schurmann, Michael H. Cho, Veronique Vitart, Erwin P. Bottinger, Carol A. Wang, H. Lester Kirchner, Medea Imboden, David J. Carey, Archie Campbell, Kari Stefansson, Matthias Wielscher, Ida Surakka, Igor Rudan, Shona M. Kerr, Holger Schulz, Michael A. Portelli, Thorarinn Gislason, Peter D. Paré, James F. Wilson, Boris Noyvert, Beate Stubbe, Zhengming Chen, Ruth J. F. Loos, Ma'en Obeidat, María Soler Artigas, Philippe Joubert, Kathleen C. Barnes, Christian Gieger, Andrew P. Morris, Rajesh Rawal, Yohan Bossé, Peter K. Joshi, Nadia N. Hansel, Emily S. Wan, David M. Evans, David C. Nickle, Caroline Hayward, Stefan Karrasch, Ke Hao, Tracy L. Rimington, Don D. Sin, Alan James, Stefan Jonsson, Shannon Bruse, Amanda P. Henry, Iona Y Millwood, Lara Bossini-Castillo, Ian P. Hall, David Sparrow, Ulf Gyllensten, Ian Sayers, Edwin K. Silverman, Robert Busch, David P. Strachan, Martin D. Tobin, Nick Shrine, Louise V. Wain, Robin G. Walters, Ingileif Jonsdottir, Peter D. Sly, Liming Li, Charlotte K. Billington, Anna Hansell, Omri Gottesman, Om P Kurmi, Ingo Ruczinski, Nicholas J. Wareham, Amund Gulsvik, Per Bakke, Jennie Hui, Corry-Anke Brandsma, Gosia Trynka, Anthony G. Fenech, Brian D. Hobbs, A. John Henderson, Jonathan Marten, Olli T. Raitakari, Richard J. Allen, Augusto A. Litonjua, Sarah E. Harris, Ozren Polasek, Mika Kähönen, Tineka Blake, Marjo-Riitta Järvelin, Rasika A. Mathias, Jing Hua Zhao, Julien Vaucher, Girish N. Nadkarni, Christopher E. Brightling, Groningen Research Institute for Asthma and COPD (GRIAC), Wareham, Nicholas [0000-0003-1422-2993], Zhao, Jing Hua [0000-0003-4930-3582], Marten, Jonathan [0000-0001-6916-2014], and Apollo - University of Cambridge Repository

Subjects
Male, 0301 basic medicine, Oncology, Genome-wide association study, heart disease, VARIANTS, SUSCEPTIBILITY, Epigenesis, Genetic, AIR-FLOW OBSTRUCTION, Pulmonary Disease, Chronic Obstructive, Risk Factors, HISTORY, GWAS, EPIDEMIOLOGY, Lung, POPULATION, Cause of death, Genetics & Heredity, Aged, 80 and over, education.field_of_study, COPD, Framingham Risk Score, Chronic obstructive pulmonary disease, Heart, 11 Medical And Health Sciences, Middle Aged, 3. Good health, Female, HEALTH, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, Population, genome-wide, lungs, target, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Internal medicine, Genetics, medicine, Humans, Genetic Predisposition to Disease, Allele, education, Alleles, Aged, Asthma, Science & Technology, ta1184, Odds ratio, 06 Biological Sciences, ta3121, medicine.disease, Lung function, respiratory tract diseases, 030104 developmental biology, Genetic Loci, FAM13A, Immunology, Lungs, Pulmonary disease, Developmental Biology, Genome-Wide Association Study
Abstract

Chronic obstructive pulmonary disease (COPD) is characterized by reduced lung function and is the third leading cause of death globally. Through genome-wide association discovery in 48,943 individuals, selected from extremes of the lung function distribution in UK Biobank, and follow-up in 95,375 individuals, we increased the yield of independent signals for lung function from 54 to 97. A genetic risk score was associated with COPD susceptibility (odds ratio per 1 s.d. of the risk score (similar to 6 alleles) (95% confidence interval) = 1.24 (1.20-1.27), P = 5.05 x 10(-49)), and we observed a 3.7-fold difference in COPD risk between individuals in the highest and lowest genetic risk score deciles in UK Biobank. The 97 signals show enrichment in genes for development, elastic fibers and epigenetic regulation pathways. We highlight targets for drugs and compounds in development for COPD and asthma (genes in the inositol phosphate metabolism pathway and CHRM3) and describe targets for potential drug repositioning from other clinical indications.

Published
2017
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4. HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics

Author

Lea Trela-Larsen, Yi Zheng, Jie Zheng, Meena Kumari, Aroon D. Hingorani, Richard W Morris, Claudia Giambartolomei, A. Mesut Erzurumluoglu, Delilah Zabaneh, Denis Baird, Jon White, Charles Laurin, David M. Evans, Ian N. M. Day, Tom R. Gaunt, Santiago Rodriguez, and Juan P. Casas

Subjects
0301 basic medicine, Statistics and Probability, medicine.medical_specialty, Genotype, Computer science, Iterative method, Genome-wide association study, 030105 genetics & heredity, computer.software_genre, Biochemistry, Polymorphism, Single Nucleotide, Article, Linkage Disequilibrium, Unit (housing), 03 medical and health sciences, Quantitative Trait, Heritable, Gene Frequency, Epidemiology, medicine, Humans, Molecular Biology, Haplotype, Chromosome Mapping, Data science, Summary statistics, Computer Science Applications, Computational Mathematics, 030104 developmental biology, Computational Theory and Mathematics, Haplotypes, Sample Size, Data mining, computer, Software, Genome-Wide Association Study
Abstract

Motivation Fine mapping is a widely used approach for identifying the causal variant(s) at disease-associated loci. Standard methods (e.g. multiple regression) require individual level genotypes. Recent fine mapping methods using summary-level data require the pairwise correlation coefficients (r2) of the variants. However, haplotypes rather than pairwise r2, are the true biological representation of linkage disequilibrium (LD) among multiple loci. In this article, we present an empirical iterative method, HAPlotype Regional Association analysis Program (HAPRAP), that enables fine mapping using summary statistics and haplotype information from an individual-level reference panel. Results Simulations with individual-level genotypes show that the results of HAPRAP and multiple regression are highly consistent. In simulation with summary-level data, we demonstrate that HAPRAP is less sensitive to poor LD estimates. In a parametric simulation using Genetic Investigation of ANthropometric Traits height data, HAPRAP performs well with a small training sample size (N Availability and Implementation The HAPRAP package and documentation are available at http://apps.biocompute.org.uk/haprap/ Supplementary information Supplementary data are available at Bioinformatics online.

Published
2016
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5. Importance of Genetic Studies in Consanguineous Populations for the Characterization of Novel Human Gene Functions

Author

Ian N. M. Day, A. Mesut Erzurumluoglu, Santiago Rodriguez, Hashem A. Shihab, and Tom R. Gaunt

Subjects
0301 basic medicine, Genetics, education.field_of_study, Population, Heterozygote advantage, Consanguinity, Biology, Phenotype, Genome, 03 medical and health sciences, 030104 developmental biology, Human genome, education, Gene, Genetics (clinical), Loss function
Abstract

Consanguineous offspring have elevated levels of homozygosity. Autozygous stretches within their genome are likely to harbour loss of function (LoF) mutations which will lead to complete inactivation or dysfunction of genes. Studying consanguineous offspring with clinical phenotypes has been very useful for identifying disease causal mutations. However, at present, most of the genes in the human genome have no disorder associated with them or have unknown function. This is presumably mostly due to the fact that homozygous LoF variants are not observed in outbred populations which are the main focus of large sequencing projects. However, another reason may be that many genes in the genome—even when completely “knocked out,” do not cause a distinct or defined phenotype. Here, we discuss the benefits and implications of studying consanguineous populations, as opposed to the traditional approach of analysing a subset of consanguineous families or individuals with disease. We suggest that studying consanguineous populations “as a whole” can speed up the characterisation of novel gene functions as well as indicating nonessential genes and/or regions in the human genome. We also suggest designing a single nucleotide variant (SNV) array to make the process more efficient.

Published
2016
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6. Mitochondrial DNA Haplogroups and Breast Cancer Risk Factors in the Avon Longitudinal Study of Parents and Children (ALSPAC)

Author

Santiago Rodriguez, Vivienne Riley, A. Mesut Erzurumluoglu, and Carolina Bonilla

Subjects
0301 basic medicine, Longitudinal study, lcsh:QH426-470, Population, mitochondrial DNA, Logistic regression, Population stratification, Article, Haplogroup, 03 medical and health sciences, Breast cancer, breast cancer, Genetics, medicine, risk factors, Risk factor, education, Genetics (clinical), education.field_of_study, Europeans, business.industry, ALSPAC, medicine.disease, Mitochondrial DNA, 3. Good health, lcsh:Genetics, 030104 developmental biology, Risk factors, haplogroups, Haplogroups, ICEP, business, Demography, Human mitochondrial DNA haplogroup
Abstract

The relationship between mitochondrial DNA (mtDNA) and breast cancer has been frequently examined, particularly in European populations. However, studies reporting associations between mtDNA haplogroups and breast cancer risk have had a few shortcomings including small sample sizes, failure to account for population stratification and performing inadequate statistical tests. In this study we investigated the association of mtDNA haplogroups of European origin with several breast cancer risk factors in mothers and children of the Avon Longitudinal Study of Parents and Children (ALSPAC), a birth cohort that enrolled over 14,000 pregnant women in the Southwest region of the UK. Risk factor data were obtained from questionnaires, clinic visits and blood measurements. Information on over 40 independent breast cancer risk factor-related variables was available for up to 7781 mothers and children with mtDNA haplogroup data in ALSPAC. Linear and logistic regression models adjusted for age, sex and population stratification principal components were evaluated. After correction for multiple testing we found no evidence of association of European mtDNA haplogroups with any of the breast cancer risk factors analysed. Mitochondrial DNA haplogroups are unlikely to underlie susceptibility to breast cancer that occurs via the risk factors examined in this study of a population of European ancestry.

Published
2018
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7. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

Author

Olle Melander, Niek Verweij, Uwe Völker, Morris A. Swertz, Seppo Koskinen, David Conen, Lars Lind, Rossella Sorice, Philippe Amouyel, Andres Metspalu, David J. Stott, Marty Larson, Francis S. Collins, Ozren Polasek, Paul F. O'Reilly, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Michela Traglia, Tineka Blake, John Attia, Bruce M. Psaty, Massimo Mangino, Alison Pattie, Marco Brumat, Dorret I. Boomsma, Harry Campbell, Daniel I. Chasman, Tõnu Esko, Wei-Yu Lin, Rodney J. Scott, Marjo-Riitta Järvelin, Guillaume Paré, Adriana M. Hung, Marina Evangelou, Quang Tri Nguyen, Markus Perola, Kenneth Rice, Yong Qian, Antonietta Robino, Anne U. Jackson, Ian J. Deary, Mika Kähönen, Cristina Menni, Veronique Vitart, Igor Rudan, Ganesh Chauhan, Aravinda Chakravarti, Jennifer E. Huffman, John M. Starr, Anubha Mahajan, Christopher Newton-Cheh, Peter Almgren, Yuri Milaneschi, Jacklyn N. Hellwege, Roby Joehanes, Christopher P. Nelson, Eleftheria Zeggini, Elizabeth G. Holliday, Peter J. van der Most, Annette Peters, Paul M. Ridker, Michael Boehnke, Joris Deelen, Brenda W.J.H. Penninx, Neil Poulter, Renée de Mutsert, Rick Jansen, Fu Liang Ng, Anne-Claire Vergnaud, Ilja M. Nolte, Meixia Ren, Gail Davies, John M. C. Connell, Jian'an Luan, Todd L. Edwards, Benjamin Lehne, K. Witkowska, Lili Milani, Stéphanie Debette, Georgios Ntritsos, Claudia P. Cabrera, Paolo Gasparini, Jouke-Jan Hottenga, Antti-Pekka Sarin, Kelly Cho, Robert A. Scott, Veikko Salomaa, Niki Dimou, David C. Liewald, Pim van der Harst, Teemu J. Niiranen, Denis C. Shields, Leo-Pekka Lyytikäinen, Andrew P. Morris, Murielle Bochud, Helena Schmidt, Bernard Keavney, Christopher Oldmeadow, Ioanna Tzoulaki, Jaakko Tuomilehto, Louise V. Wain, Reedik Mägi, Christian Gieger, Caterina Barbieri, Aki S. Havulinna, Fabiola Del Greco M, Dragana Vuckovic, Alan F. Wright, J. Wouter Jukema, Reinhold Schmidt, Marcus Dörr, Franco Giulianini, Evan Tzanis, Erwin P. Bottinger, David Mosen-Ansorena, Ruth J. F. Loos, A. Mesut Erzurumluoglu, Teresa Nutile, Alice Stanton, Jun Ding, Yingchang Lu, Roberto Elosua, Walter Palmas, James F. Wilson, Edith Hofer, Giorgia Girotto, Bram P. Prins, Anna Morgan, Anuj Goel, Edward G. Lakatta, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Siim Sõber, Nicholas J. Wareham, Adam S. Butterworth, Ilaria Gandin, Xiuqing Guo, Kent D. Taylor, Andrew D. Morris, Paul Knekt, Cinzia Sala, Peter P. Pramstaller, Joshua C. Bis, Archie Campbell, Raha Pazoki, Hugh Watkins, Csaba P. Kovesdy, Yan V. Sun, Lynda M. Rose, Jaspal S. Kooner, Maciej Tomaszewski, Massimiliano Cocca, Claudia Langenberg, Gonneke Willemsen, Eco J. C. de Geus, Peter W.F. Wilson, Ahmad Vaez, Albert Hofman, Kristin L. Ayers, Sara M. Willems, Germaine C. Verwoert, Christophe Tzourio, Martin Farrall, Albert V. Smith, Joanna M. M. Howson, Daniela Toniolo, Digna R. Velez Edwards, Antti Jula, Stefan Enroth, Ruifang Li-Gao, Nabi Shah, Weihua Zhang, Paul Elliott, Dennis O. Mook-Kanamori, Tatijana Zemunik, Shih-Jen Hwang, Helen R. Warren, Peter J. Munson, He Gao, Ivana Kolcic, Peter S. Braund, Tamara B. Harris, Raymond Noordam, Stella Trompet, Markku Laakso, Peter K. Joshi, Zoltán Kutalik, Sébastien Thériault, Åsa Johansson, Rainer Rettig, Sarah H. Wild, Patricia B. Munroe, John Danesh, Anders Hamsten, Mark J. Caulfield, Gonçalo R. Abecasis, Praveen Surendran, Peter S. Sever, David S. Siscovick, Terho Lehtimäki, Priyanka Nandakumar, Aarno Palotie, Muralidharan Sargurupremraj, Chiara Batini, Nick Shrine, Harold Snieder, Cumhur Y Demirkale, Teresa Ferreira, André G. Uitterlinden, Sekar Kathiresan, Mattias Frånberg, Lorna M. Lopez, J. Michael Gaziano, Cornelia M. van Duijn, Maris Laan, Samuli Ripatti, John C. Chambers, Martin H. de Borst, Johan Sundström, Alan J. Gow, Caroline Hayward, Oscar H. Franco, Yongmei Liu, Sandosh Padmanabhan, Ibrahim Karaman, Georg Ehret, Cecilia M. Lindgren, Mike A. Nalls, Chrysovalanto Mamasoula, Daniela Ruggiero, Erik Ingelsson, Colin N. A. Palmer, Alan James, Elin Org, Kati Kristiansson, Alexander Teumer, Ulf Gyllensten, Joanne Knight, Vilmantas Giedraitis, Jerome I. Rotter, Yasaman Saba, Daniel Levy, Li Lin, Janina S. Ried, Michael R. Barnes, Harriëtte Riese, Andrew D. Johnson, David P. Strachan, Martin D. Tobin, Lorenz Risch, Rona J. Strawbridge, Jing Hua Zhao, Vilmundur Gudnason, Borbala Mifsud, Eric Boerwinkle, Catharina A. Hartman, Ben A. Oostra, Dan E. Arking, Andrew A. Hicks, Peter Vollenweider, Thibaud Boutin, Philip S. Tsao, Jie Yao, Ayush Giri, Marina Ciullo, Morris J. Brown, Alanna C. Morrison, Kay-Tee Khaw, Francesco Cucca, Jonathan Marten, Olli T. Raitakari, Christopher J. O'Donnell, Jaume Marrugat, Tim D. Spector, Heather J. Cordell, Nilesh J. Samani, Simon Thom, Sarah E. Harris, UNIVERSITY OF OULU, Commission of the European Communities, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, National Institute for Health Research, British Heart Foundation, Medical Research Council (MRC), UK DRI Ltd, Epidemiology, Internal Medicine, Lee Kong Chian School of Medicine (LKCMedicine), Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Ehret, Georg Benedikt, Lin, Li, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Evangelou, Evangelo, Warren, Helen R, Mosen-Ansorena, David, Mifsud, Borbala, Pazoki, Raha, Gao, He, Ntritsos, Georgio, Dimou, Niki, Cabrera, Claudia P, Karaman, Ibrahim, Ng, Fu Liang, Evangelou, Marina, Witkowska, Katarzyna, Tzanis, Evan, Hellwege, Jacklyn N, Giri, Ayush, Velez Edwards, Digna R, Sun, Yan V, Cho, Kelly, Gaziano, J Michael, Wilson, Peter W F, Tsao, Philip S, Kovesdy, Csaba P, Esko, Tonu, Mägi, Reedik, Milani, Lili, Almgren, Peter, Boutin, Thibaud, Debette, Stéphanie, Ding, Jun, Giulianini, Franco, Holliday, Elizabeth G, Jackson, Anne U, Li-Gao, Ruifang, Lin, Wei-Yu, Luan, Jian'An, Mangino, Massimo, Oldmeadow, Christopher, Prins, Bram Peter, Qian, Yong, Sargurupremraj, Muralidharan, Shah, Nabi, Surendran, Praveen, Thériault, Sébastien, Verweij, Niek, Willems, Sara M, Zhao, Jing-Hua, Amouyel, Philippe, Connell, John, de Mutsert, Renée, Doney, Alex S F, Farrall, Martin, Menni, Cristina, Morris, Andrew D, Noordam, Raymond, Paré, Guillaume, Poulter, Neil R, Shields, Denis C, Stanton, Alice, Thom, Simon, Abecasis, Gonçalo, Amin, Najaf, Arking, Dan E, Ayers, Kristin L, Barbieri, Caterina M, Batini, Chiara, Bis, Joshua C, Blake, Tineka, Bochud, Murielle, Boehnke, Michael, Boerwinkle, Eric, Boomsma, Dorret I, Bottinger, Erwin P, Braund, Peter S, Brumat, Marco, Campbell, Archie, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chauhan, Ganesh, Ciullo, Marina, Cocca, Massimiliano, Collins, Franci, Cordell, Heather J, Davies, Gail, Borst, Martin H de, Geus, Eco J de, Deary, Ian J, Deelen, Jori, Del Greco M, Fabiola, Demirkale, Cumhur Yusuf, Dörr, Marcu, Ehret, Georg B, Elosua, Roberto, Enroth, Stefan, Erzurumluoglu, A Mesut, Ferreira, Teresa, Frånberg, Mattia, Franco, Oscar H, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmanta, Gieger, Christian, Girotto, Giorgia, Goel, Anuj, Gow, Alan J, Gudnason, Vilmundur, Guo, Xiuqing, Gyllensten, Ulf, Hamsten, Ander, Harris, Tamara B, Harris, Sarah E, Hartman, Catharina A, Havulinna, Aki S, Hicks, Andrew A, Hofer, Edith, Hofman, Albert, Hottenga, Jouke-Jan, Huffman, Jennifer E, Hwang, Shih-Jen, Ingelsson, Erik, James, Alan, Jansen, Rick, Jarvelin, Marjo-Riitta, Joehanes, Roby, Johansson, Åsa, Johnson, Andrew D, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D, Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S, Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Mari, Larson, Marty, Launer, Lenore J, Lehne, Benjamin, Lehtimäki, Terho, Liewald, David C M, Lind, Lar, Lindgren, Cecilia M, Liu, Yongmei, Loos, Ruth J F, Lopez, Lorna M, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P, Morrison, Alanna C, Munson, Peter J, Nalls, Mike A, Nandakumar, Priyanka, Nelson, Christopher P, Niiranen, Teemu, Nolte, Ilja M, Nutile, Teresa, Oldehinkel, Albertine J, Oostra, Ben A, O'Reilly, Paul F, Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, Penninx, Brenda W J H, Perola, Marku, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P, Nguyen, Quang Tri, Raitakari, Olli T, Ren, Meixia, Rettig, Rainer, Rice, Kenneth, Ridker, Paul M, Ried, Janina S, Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M, Rotter, Jerome I, Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F, Salomaa, Veikko, Samani, Nilesh J, Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V, Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M, Stott, David J, Strachan, David P, Strawbridge, Rona J, Sundström, Johan, Swertz, Morris A, Taylor, Kent D, Teumer, Alexander, Tobin, Martin D, Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G, Vaez, Ahmad, van der Most, Peter J, van Duijn, Cornelia M, Vergnaud, Anne-Claire, Verwoert, Germaine C, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Wilson, James F, Wright, Alan F, Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R, Butterworth, Adam S, Chasman, Daniel I, Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna M M, Laakso, Markku, Lakatta, Edward G, Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O, Palmer, Colin N A, Risch, Lorenz, Scott, Robert A, Scott, Rodney J, Sever, Peter, Spector, Tim D, van der Harst, Pim, Wareham, Nicholas J, Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B, Newton-Cheh, Christopher, Brown, Morris J, Metspalu, Andre, Hung, Adriana M, O'Donnell, Christopher J, Edwards, Todd L, Psaty, Bruce M, Tzoulaki, Ioanna, Barnes, Michael R, Wain, Louise V, Elliott, Paul, Caulfield, Mark J, Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), VU University medical center, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Digital Health, Institute for Molecular Medicine Finland, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, University of Helsinki, Clinicum, Samuli Olli Ripatti / Principal Investigator, Biostatistics Helsinki, Department of Public Health, Complex Disease Genetics, and Genomics of Neurological and Neuropsychiatric Disorders

Subjects
Male, 0301 basic medicine, Netherlands Twin Register (NTR), Population/methods, Genome Informatics, Blood Pressure, Genome-wide association study, GENOME-WIDE ASSOCIATION, CARDIOVASCULAR-DISEASE RISK, UK BIOBANK, HYPERTENSION, VARIANTS, METAANALYSIS, COMMON, HEALTH, RARE, HYPERALDOSTERONISM, Disease, Bioinformatics, Cardiovascular Diseases/epidemiology/genetics, Risk Factors, 80 and over, GWAS, Cells, Cultured, 11 Medical and Health Sciences, ddc:616, Genetics & Heredity, Aged, 80 and over, Cultured, medicine.diagnostic_test, CARDIOVASCULAR RISK, Genetic analysis, Million Veteran Program, Genetics, Population/methods, Single Nucleotide, Middle Aged, PREVALENCE, 3. Good health, Pulse pressure, VINTAGE, Cardiovascular Diseases, Blood pressure, Medical genetics, Female, Medical Genetics, Life Sciences & Biomedicine, Genetic Testing/methods, Adult, medicine.medical_specialty, Blood Pressure/genetics, Cells, Quantitative Trait Loci, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Human Umbilical Vein Endothelial Cells, Genetics, medicine, Humans, Medicine [Science], Genetic Predisposition to Disease, Genetic Testing, Polymorphism, HEALTHY, Life Style, Medicinsk genetik, Aged, Genetic testing, Genetic association, Science & Technology, Cardiovascular Diseases/epidemiology, 06 Biological Sciences, Genetic architecture, Genetics, Population, 030104 developmental biology, Genetic Loci, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, Hypertension/genetics, Genome-Wide Association Study, Developmental Biology
Abstract

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore)

Published
2018
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8. Y Chromosome, Mitochondrial DNA and Childhood Behavioural Traits

Author

A. Mesut Erzurumluoglu, Laurence J. Howe, George Davey Smith, Santiago Rodriguez, and Evie Stergiakouli

Subjects
0301 basic medicine, Male, Longitudinal study, Mitochondrial DNA, lcsh:Medicine, Child Behavior, Quantitative trait locus, Biology, Y chromosome, DNA, Mitochondrial, Polymorphism, Single Nucleotide, Haplogroup, Article, 03 medical and health sciences, 0302 clinical medicine, Cognition, Quantitative Trait, Heritable, Odds Ratio, Humans, lcsh:Science, Child, Genetic Association Studies, Genetics, Multidisciplinary, Chromosomes, Human, Y, Haplotype, lcsh:R, 030104 developmental biology, Phenotype, Haplotypes, lcsh:Q, Female, Age of onset, 030217 neurology & neurosurgery, Human mitochondrial DNA haplogroup
Abstract

Many psychiatric traits are sexually dimorphic in terms of prevalence, age of onset, progression and prognosis; sex chromosomes could play a role in these differences. In this study we evaluated the association between Y chromosome and mitochondrial DNA haplogroups with sexually-dimorphic behavioural and psychiatric traits. The study sample included 4,211 males and 4,009 females with mitochondrial DNA haplogroups and 4,788 males with Y chromosome haplogroups who are part of the Avon Longitudinal Study of Parents and Children (ALSPAC) based in the United Kingdom. Different subsets of these populations were assessed using measures of behavioural and psychiatric traits with logistic regression being used to measure the association between haplogroups and the traits. The majority of behavioural traits in our cohort differed between males and females; however Y chromosome and mitochondrial DNA haplogroups were not associated with any of the variables. These findings suggest that if there is common variation on the Y chromosome and mitochondrial DNA associated with behavioural and psychiatric trait variation, it has a small effect.

Published
2017
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9. Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets from Blood and the Kidney

Author

Peter Vollenweider, Christophe Tzourio, Stefan Enroth, Cinzia Sala, Mark J. Caulfield, Murielle Bochud, Peter P. Pramstaller, Ozren Polasek, Paul Elliott, Dennis O. Mook-Kanamori, Daniel I. Chasman, Christian Gieger, Harriëtte Riese, Rodney J. Scott, Cristina Menni, Anubha Mahajan, Elizabeth G. Holliday, Ilja M. Nolte, Priyanka Nandakumar, Tatijana Zemunik, Dragana Vuckovic, Tõnu Esko, Franco Giulianini, Michael Boehnke, Antonietta Robino, Anne U. Jackson, Roby Joehanes, Alanna C. Morrison, Kay-Tee Khaw, Alison Pattie, Peter J. van der Most, Mika Kähönen, Rick Jansen, Andrew D. Johnson, John M. Starr, Marcus Dörr, Anders Hamsten, Kenneth Rice, Alice Stanton, James F. Wilson, Nabi Shah, Weihua Zhang, Andrew A. Hicks, Jeffrey Damman, Jing Hua Zhao, Aarno Palotie, Veronique Vitart, Alan J. Gow, Caroline Hayward, Alan James, Ben A. Oostra, Janina S. Ried, John Beilby, David P. Strachan, Martin D. Tobin, Eco J. C. de Geus, Vilmundur Gudnason, Bruce M. Psaty, Zoltán Kutalik, Neil Poulter, Paul M. Ridker, Johan Sundström, Cornelia M. van Duijn, Eleftheria Zeggini, Christopher Oldmeadow, Borbala Mifsud, Giorgia Girotto, Aravinda Chakravarti, Jonathan Marten, Alexander Teumer, Joanne Knight, Robert A. Scott, Vilmantas Giedraitis, Paul F. O'Reilly, Marco Brumat, Brenda W.J.H. Penninx, Peter J. Munson, Olli T. Raitakari, Leo-Pekka Lyytikäinen, He Gao, Massimo Mangino, Benjamin Lehne, J. Wouter Jukema, Paul Knekt, Catharina A. Hartman, Rona J. Strawbridge, Jouke-Jan Hottenga, Jaspal S. Kooner, Nilesh J. Samani, Kristin L. Ayers, A. Mesut Erzurumluoglu, Joshua C. Bis, Archie Campbell, Dan E. Arking, Germaine C. Verwoert, John Attia, Samuli Ripatti, Yuri Milaneschi, Caterina Barbieri, Fabiola M. Del Greco, C M Lindgren, Peter K. Joshi, Helen R. Warren, Nicholas J. Wareham, Simon Thom, Seppo Koskinen, Tamara B. Harris, Ilaria Gandin, Kent D. Taylor, Andrew D. Morris, Anna Morgan, Chiara Batini, Terho Lehtimäki, Walter Palmas, David Conen, Harold Snieder, Martin H. de Borst, Sarah E. Harris, Igor Rudan, Ruth J. F. Loos, Claudia Langenberg, Anuj Goel, Christopher P. Nelson, Peter S. Braund, Rossella Sorice, Yasaman Saba, Oscar H. Franco, Yongmei Liu, Mattias Frånberg, David S. Siscovick, Patricia B. Munroe, Rainer Rettig, Michela Traglia, Daniel Levy, Li Lin, Michael R. Barnes, Elin Org, Anne-Claire Vergnaud, Andres Metspalu, Stéphanie Debette, Yusuf Demirkale, John M. C. Connell, Jian'an Luan, Paolo Gasparini, Tim D. Spector, Marina Ciullo, Antti-Pekka Sarin, Ian J. Deary, Teemu J. Niiranen, Marty Larson, Heather J. Cordell, Jerome I. Rotter, Sekar Kathiresan, Teresa Nutile, Andrew P. Morris, Denis C. Shields, Alan F. Wright, Lorna M. Lopez, Aki S. Havulinna, Gonçalo R. Abecasis, Edith Hofer, Siim Sõber, Sébastien Thériault, Ahmad Vaez, Albert Hofman, Gonneke Willemsen, Lynda M. Rose, John C. Chambers, Peter S. Sever, Maryam Abedi, André G. Uitterlinden, François Mach, Massimiliano Cocca, Sarah H Wild, Reinhold Schmidt, Jaume Marrugat, Marc A. Seelen, Maris Laan, Aude Saint Pierre, David C. Liewald, Pim van der Harst, Sandosh Padmanabhan, Martin Farrall, Georg Ehret, Albert V. Smith, Quang Tri Nguyen, Ulf Gyllensten, Helena Schmidt, Ganesh Chauhan, Jennifer E. Huffman, Morris A. Swertz, Jaakko Tuomilehto, Louise V. Wain, Meixia Ren, Erwin P. Bottinger, Roberto Elosua, Ivana Kolcic, Veikko Salomaa, Stella Trompet, Bernard Keavney, Claudia P. Cabrera, Bram P. Prins, Jennie Hui, Uwe Völker, Albertine J. Oldehinkel, Evangelos Evangelou, Pekka Jousilahti, Dorret I. Boomsma, Harry Campbell, Shih-Jen Hwang, Jie Yao, Francis S. Collins, Chrysovalanto Mamasoula, Kati Kristiansson, Markus Perola, Renée de Mutsert, Xiuqing Guo, Antti Jula, Daniela Toniolo, Ruifang Li-Gao, Åsa Johansson, Nick Shrine, Teresa Ferreira, Lars Lind, David J. Stott, Tineka Blake, Daniela Ruggiero, Mike A. Nalls, Erik Ingelsson, Colin N. A. Palmer, Christopher Newton-Cheh, Marjo-Riitta Järvelin, Guillaume Paré, Joris Deelen, Morris Brown, Gail Davies, Annette Peters, Ioanna Tzoulaki, Alex S. F. Doney, Najaf Amin, Lenore J. Launer, Hugh Watkins, Yingchang Lu, Wain, Lv, Vaez, A, Jansen, R, Joehanes, R, van der Most, Pj, Erzurumluoglu, Am, O'Reilly, Pf, Cabrera, Cp, Warren, Hr, Rose, Lm, Verwoert, Gc, Hottenga, Jj, Strawbridge, Rj, Esko, T, Arking, De, Hwang, Sj, Guo, X, Kutalik, Z, Trompet, S, Shrine, N, Teumer, A, Ried, J, Bis, Jc, Smith, Av, Amin, N, Nolte, Im, Lyytikäinen, Lp, Mahajan, A, Wareham, Nj, Hofer, E, Joshi, Pk, Kristiansson, K, Traglia, M, Havulinna, A, Goel, A, Nalls, Ma, Sõber, S, Vuckovic, Dragana, Luan, J, Del Greco, M. F, Ayers, Kl, Marrugat, J, Ruggiero, D, Lopez, Lm, Niiranen, T, Enroth, S, Jackson, Au, Nelson, Cp, Huffman, Je, Zhang, W, Marten, J, Gandin, I, Harris, Se, Zemunik, T, Lu, Y, Evangelou, E, Shah, N, de Borst, Mh, Mangino, M, Prins, Bp, Campbell, A, Li Gao, R, Chauhan, G, Oldmeadow, C, Abecasis, G, Abedi, M, Barbieri, Cm, Barnes, Mr, Batini, C, Beilby, J, Blake, T, Boehnke, M, Bottinger, Ep, Braund, P, Brown, M, Brumat, M, Campbell, H, Chambers, Jc, Cocca, M, Collins, F, Connell, J, Cordell, Hj, Damman, Jj, Davies, G, de Geus, Ej, de Mutsert, R, Deelen, J, Demirkale, Y, Doney, Asf, Dörr, M, Farrall, M, Ferreira, T, Frånberg, M, Gao, H, Giedraitis, V, Gieger, C, Giulianini, F, Gow, Aj, Hamsten, A, Harris, Tb, Hofman, A, Holliday, Eg, Hui, J, Jarvelin, Mr, Johansson, Å, Johnson, Ad, Jousilahti, P, Jula, A, Kähönen, M, Kathiresan, S, Khaw, Kt, Kolcic, I, Koskinen, S, Langenberg, C, Larson, M, Launer, Lj, Lehne, B, Liewald, Dcm, Lin, L, Lind, L, Mach, F, Mamasoula, C, Menni, C, Mifsud, B, Milaneschi, Y, Morgan, Anna, Morris, Ad, Morrison, Ac, Munson, Pj, Nandakumar, P, Nguyen, Qt, Nutile, T, Oldehinkel, Aj, Oostra, Ba, Org, E, Padmanabhan, S, Palotie, A, Paré, G, Pattie, A, Penninx, Bwjh, Poulter, N, Pramstaller, Pp, Raitakari, Ot, Ren, M, Rice, K, Ridker, Pm, Riese, H, Ripatti, S, Robino, A, Rotter, Ji, Rudan, I, Saba, Y, Saint Pierre, A, Sala, Cf, Sarin, Ap, Schmidt, R, Scott, R, Seelen, Ma, Shields, Dc, Siscovick, D, Sorice, R, Stanton, A, Stott, Dj, Sundström, J, Swertz, M, Taylor, Kd, Thom, S, Tzoulaki, I, Tzourio, C, Uitterlinden, Ag, Völker, U, Vollenweider, P, Wild, S, Willemsen, G, Wright, Af, Yao, J, Thériault, S, Conen, D, Attia, J, Sever, P, Debette, S, Mook Kanamori, Do, Zeggini, E, Spector, Td, van der Harst, P, Palmer, Cna, Vergnaud, Ac, Loos, Rjf, Polasek, O, Starr, Jm, Girotto, Giorgia, Hayward, C, Kooner, J, Lindgren, Cm, Vitart, V, Samani, Nj, Tuomilehto, J, Gyllensten, U, Knekt, P, Deary, Ij, Ciullo, M, Elosua, R, Keavney, Bd, Hicks, Aa, Scott, Ra, Gasparini, Paolo, Laan, M, Liu, Y, Watkins, H, Hartman, Ca, Salomaa, V, Toniolo, D, Perola, M, Wilson, Jf, Schmidt, H, Zhao, Jh, Lehtimäki, T, van Duijn, Cm, Gudnason, V, Psaty, Bm, Peters, A, Rettig, R, James, A, Jukema, Jw, Strachan, Dp, Palmas, W, Metspalu, A, Ingelsson, E, Boomsma, Di, Franco, Oh, Bochud, M, Newton Cheh, C, Munroe, Pb, Elliott, P, Chasman, Di, Chakravarti, A, Knight, J, Morris, Ap, Levy, D, Tobin, Md, Snieder, H, Caulfield, Mj, Ehret, G. b., Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, British Heart Foundation, Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), Vascular Ageing Programme (VAP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Groningen Institute for Organ Transplantation (GIOT), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Epidemiology, Gastroenterology & Hepatology, Clinical Genetics, Internal Medicine, Erasmus MC other, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, Division 6, APH - Mental Health, APH - Digital Health, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Methodology

Subjects
0301 basic medicine, cardiovascular risk, Netherlands Twin Register (NTR), hypertension, NETHERLANDS, Sistema cardiovascular -- Malalties, GWAS, blood pressure, complex traits, eSNP, Locus (genetics), Genome-wide association study, Disease, Biology, PERIPHERAL-BLOOD, 1102 Cardiovascular Medicine And Haematology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic variation, Internal Medicine, Journal Article, Cardiac and Cardiovascular Systems, 1000 Genomes Project, Gene, CENTRIC ARRAY, METAANALYSIS, Genetics, ddc:616, Kardiologi, PULSE PRESSURE, COMMON VARIANTS, 1103 Clinical Sciences, ta3121, 3. Good health, INDIVIDUALS, 030104 developmental biology, Blood pressure, TARGET, Cardiovascular System & Hematology, complex trait, GWAS, blood pressure, cardiovascular risk, complex traits, eSNP, hypertension, Hipertensió, Imputation (genetics), TRAITS
Abstract

Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project–based imputation in 150 134 European ancestry individuals and sought significant evidence for independent replication in a further 228 245 individuals. We report 6 new signals of association in or near HSPB7 , TNXB , LRP12 , LOC283335 , SEPT9 , and AKT2 , and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA . Combining large whole-blood gene expression resources totaling 12 607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in blood pressure regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.

Published
2017
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10. Genetic analysis reveals role of testosterone levels in human disease

Author

Claudia Langenberg, Benjamin Hollis, Jessica Tyrrell, Robin N Beaumont, Laura B. L. Wittemans, Douglas F. Easton, John R. B. Perry, Mark I. McCarthy, Felix R. Day, Tracy A. O'Mara, Anubha Mahajan, Stephen Burgess, A. Mesut Erzurumluoglu, Timothy M. Frayling, Nicholas J. Wareham, Alexander S Busch, Katherine S. Ruth, Anna Murray, Ken K. Ong, Andrew R. Wood, Deborah J. Thompson, and Susan Martin

Subjects
0301 basic medicine, Male, Endocrinology, Diabetes and Metabolism, Physiology, Type 2 diabetes, Disease, Bioinformatics, Genetic analysis, 0302 clinical medicine, Sex hormone-binding globulin, Endocrinology, Human disease, Odds Ratio, Cluster Analysis, Testosterone, Biological Specimen Banks, Estradiol, biology, medicine.diagnostic_test, General Medicine, Polycystic ovary, Phenotype, 030220 oncology & carcinogenesis, Body Composition, Female, Polycystic Ovary Syndrome, Genotype, MEDLINE, Breast Neoplasms, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, Sex Factors, medicine, Humans, Genetic Testing, Genetic testing, business.industry, Prostatic Neoplasms, Human Genetics, Testosterone (patch), Odds ratio, Mendelian Randomization Analysis, medicine.disease, United Kingdom, Human genetics, Endometrial Neoplasms, 030104 developmental biology, Diabetes Mellitus, Type 2, Haplotypes, biology.protein, Metabolic syndrome, Sexual function, business, Biomarkers, Software, Genome-Wide Association Study
Abstract

Testosterone supplementation is commonly used for its effects on sexual function, bone health and body composition, yet its effects on disease outcomes are unknown. To better understand this, we identified genetic determinants of testosterone levels and related sex hormone traits in 425,097 UK Biobank study participants. Using 2,571 genome-wide significant associations, we demonstrate that the genetic determinants of testosterone levels are substantially different between sexes and that genetically higher testosterone is harmful for metabolic diseases in women but beneficial in men. For example, a genetically determined 1 s.d. higher testosterone increases the risks of type 2 diabetes (odds ratio (OR) = 1.37 (95% confidence interval (95% CI): 1.22–1.53)) and polycystic ovary syndrome (OR = 1.51 (95% CI: 1.33–1.72)) in women, but reduces type 2 diabetes risk in men (OR = 0.86 (95% CI: 0.76–0.98)). We also show adverse effects of higher testosterone on breast and endometrial cancers in women and prostate cancer in men. Our findings provide insights into the disease impacts of testosterone and highlight the importance of sex-specific genetic analyses. Genetic analysis of data from over 400,000 participants in the UK Biobank Study shows that circulating testosterone levels have sex-specific implications for cardiometabolic diseases and cancer outcomes.

Published
2020
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11. LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

Author

Beate St Pourcain, Philip C Haycock, John P. Kemp, Nicole M. Warrington, Benjamin M. Neale, Verneri Anttila, A. Mesut Erzurumluoglu, Jie Zheng, Hilary K. Finucane, Early Genetics, Katherine E. Tansey, David M. Evans, Laurence J. Howe, Gibran Hemani, Brendan Bulik-Sullivan, Benjamin Elsworth, Charles Laurin, Tom R. Gaunt, Lavinia Paternoster, and Alkes L. Price

Subjects
0301 basic medicine, Statistics and Probability, Male, Genome-wide association study, Computational biology, Biology, computer.software_genre, Biochemistry, Genetic correlation, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Article, 03 medical and health sciences, SNP, Humans, Genetic Predisposition to Disease, Molecular Biology, Genetic Diseases, Inborn, Regression analysis, Heritability, Partition (database), Regression, Computer Science Applications, Computational Mathematics, Centralized database, 030104 developmental biology, Phenotype, Computational Theory and Mathematics, Sample Size, Female, Data mining, Databases, Nucleic Acid, computer, Software, Genome-Wide Association Study
Abstract

Motivation LD score regression is a reliable and efficient method of using genome-wide association study (GWAS) summary-level results data to estimate the SNP heritability of complex traits and diseases, partition this heritability into functional categories, and estimate the genetic correlation between different phenotypes. Because the method relies on summary level results data, LD score regression is computationally tractable even for very large sample sizes. However, publicly available GWAS summary-level data are typically stored in different databases and have different formats, making it difficult to apply LD score regression to estimate genetic correlations across many different traits simultaneously. Results In this manuscript, we describe LD Hub - a centralized database of summary-level GWAS results for 173 diseases/traits from different publicly available resources/consortia and a web interface that automates the LD score regression analysis pipeline. To demonstrate functionality and validate our software, we replicated previously reported LD score regression analyses of 49 traits/diseases using LD Hub; and estimated SNP heritability and the genetic correlation across the different phenotypes. We also present new results obtained by uploading a recent atopic dermatitis GWAS meta-analysis to examine the genetic correlation between the condition and other potentially related traits. In response to the growing availability of publicly accessible GWAS summary-level results data, our database and the accompanying web interface will ensure maximal uptake of the LD score regression methodology, provide a useful database for the public dissemination of GWAS results, and provide a method for easily screening hundreds of traits for overlapping genetic aetiologies. Availability and Implementation The web interface and instructions for using LD Hub are available at http://ldsc.broadinstitute.org/ Supplementary information Supplementary data are available at Bioinformatics online.

Published
2016

12. Using Y chromosomal haplogroups in genetic association studies and suggested implications

Author

A. Mesut Erzurumluoglu, Nicholas J. Timpson, Santiago Rodriguez, Denis Baird, and Tom G. Richardson

Subjects
0301 basic medicine, lcsh:QH426-470, Human Y-chromosome DNA haplogroup, Population, Population genetics, body mass index, Single-nucleotide polymorphism, 030204 cardiovascular system & hematology, Biology, Article, Haplogroup, 03 medical and health sciences, 0302 clinical medicine, Genetics, SNP, Avon longitudinal study of parents and children, education, Body mass index, Genetics (clinical), 030304 developmental biology, Genetic association, 2. Zero hunger, 0303 health sciences, education.field_of_study, Avon Longitudinal Study of Parents and Children, nutritional and metabolic diseases, Phenotype, lcsh:Genetics, 1958 Birth Cohort, 030104 developmental biology, Y-DNA, haplogroups, Genetic epidemiology, Haplogroups, 030217 neurology & neurosurgery
Abstract

Y-chromosomal (Y-DNA) haplogroups are more widely used in population genetics than in genetic epidemiology, although associations between Y-DNA haplogroups and several traits, including cardiometabolic traits, have been reported. In apparently homogeneous populations defined by principal component analyses, there is still Y-DNA haplogroup variation which will result from population history. Therefore, hidden stratification and/or differential phenotypic effects by Y-DNA haplogroups could exist. To test this, we hypothesised that stratifying individuals according to their Y-DNA haplogroups before testing for associations between autosomal single nucleotide polymorphisms (SNPs) and phenotypes will yield difference in association. For proof of concept, we derived Y-DNA haplogroups from 6537 males from two epidemiological cohorts, Avon Longitudinal Study of Parents and Children (ALSPAC) (n = 5080; 816 Y-DNA SNPs) and the 1958 Birth Cohort (n = 1457; 1849 Y-DNA SNPs), and studied the robust associations between 32 SNPs and body mass index (BMI), including SNPs in or near Fat Mass and Obesity-associated protein (FTO) which yield the strongest effects. Overall, no association was replicated in both cohorts when Y-DNA haplogroups were considered and this suggests that, for BMI at least, there is little evidence of differences in phenotype or SNP association by Y-DNA structure. Further studies using other traits, phenome-wide association studies (PheWAS), other haplogroups and/or autosomal SNPs are required to test the generalisability and utility of this approach.

Published
2016
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