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Genome-wide analysis identifies 12 loci influencing human reproductive behavior.
Barban, Nicola; Jansen, Rick; de Vlaming, Ronald; Vaez, Ahmad; Mandemakers, Jornt J; Tropf, Felix C; Shen, Xia; Wilson, James F; Chasman, Daniel I; Nolte, Ilja M; Tragante, Vinicius; van der Laan, Sander W; Perry, John R B; Kong, Augustine; Ahluwalia, Tarunveer S; Albrecht, Eva; Yerges-Armstrong, Laura; Atzmon, Gil; Auro, Kirsi; Ayers, Kristin; Bakshi, Andrew; Ben-Avraham, Danny; Berger, Klaus; Bergman, Aviv; Bertram, Lars; Bielak, Lawrence F; Bjornsdottir, Gyda; Bonder, Marc Jan; Broer, Linda; Bui, Minh; Barbieri, Caterina; Cavadino, Alana; Chavarro, Jorge E; Turman, Constance; Concas, Maria Pina; Cordell, Heather J; Davies, Gail; Eibich, Peter; Eriksson, Nicholas; Esko, Tõnu; Eriksson, Joel; Falahi, Fahimeh; Felix, Janine F; Fontana, Mark Alan; Franke, Lude; Gandin, Ilaria; Gaskins, Audrey J; Gieger, Christian; Gunderson, Erica P; Guo, Xiuqing.
Affiliation
  • Barban N; Department of Sociology and Nuffield College, University of Oxford, Oxford, UK.
  • Jansen R; Department of Psychiatry, VU University Medical Center, Amsterdam, the Netherlands.
  • de Vlaming R; Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands.
  • Vaez A; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Mandemakers JJ; Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands.
  • Tropf FC; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Shen X; Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Wilson JF; Sociology of Consumption and Households, Wageningen University Research, Wageningen, the Netherlands.
  • Chasman DI; Department of Sociology and Nuffield College, University of Oxford, Oxford, UK.
  • Nolte IM; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Tragante V; MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • van der Laan SW; Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
  • Perry JR; MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
  • Kong A; Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
  • Ahluwalia TS; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Albrecht E; Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Yerges-Armstrong L; Laboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Atzmon G; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
  • Auro K; School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland.
  • Ayers K; deCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
  • Ben-Avraham D; Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Berger K; Steno Diabetes Center, Gentofte, Denmark.
  • Bergman A; COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
  • Bertram L; Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Bielak LF; Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Bjornsdottir G; Department of Medicine, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, USA.
  • Bonder MJ; Department of Genetics, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, USA.
  • Broer L; Department of Natural Science, University of Haifa, Haifa, Israel.
  • Bui M; Department of Health, National Institute for Health and Welfare, Helsinki, Finland.
  • Barbieri C; Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland.
  • Cavadino A; Institute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK.
  • Chavarro JE; Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.
  • Turman C; Department of Genetics, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, USA.
  • Concas MP; Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
  • Cordell HJ; Departments of Systems and Computational Biology, of Pathology and of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, USA.
  • Davies G; Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and of Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany.
  • Eibich P; School of Public Health, Faculty of Medicine, Imperial College, London, UK.
  • Eriksson N; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA.
  • Esko T; deCODE Genetics/Amgen, Inc., Reykjavik, Iceland.
  • Eriksson J; Department of Genetics, Genomics Coordination Center, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Falahi F; Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.
  • Felix JF; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
  • Fontana MA; Division of Genetics and Cell Biology, San Raffaele Research Institute, Milan, Italy.
  • Franke L; Population, Policy and Practice, UCL Institute of Child Health, London, UK.
  • Gandin I; Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventative Medicine, Queen Mary University of London, London, UK.
  • Gaskins AJ; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Gieger C; Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
  • Gunderson EP; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Guo X; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Nat Genet ; 48(12): 1462-1472, 2016 12.
Article in En | MEDLINE | ID: mdl-27798627
The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Parity / Reproduction / Birth Order / Quantitative Trait Loci / Reproductive Behavior / Genome-Wide Association Study Type of study: Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2016 Type: Article

Full text: 1 Database: MEDLINE Main subject: Parity / Reproduction / Birth Order / Quantitative Trait Loci / Reproductive Behavior / Genome-Wide Association Study Type of study: Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Nat Genet Journal subject: GENETICA MEDICA Year: 2016 Type: Article