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The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.
Winkler, Thomas W; Justice, Anne E; Graff, Mariaelisa; Barata, Llilda; Feitosa, Mary F; Chu, Su; Czajkowski, Jacek; Esko, Tõnu; Fall, Tove; Kilpeläinen, Tuomas O; Lu, Yingchang; Mägi, Reedik; Mihailov, Evelin; Pers, Tune H; Rüeger, Sina; Teumer, Alexander; Ehret, Georg B; Ferreira, Teresa; Heard-Costa, Nancy L; Karjalainen, Juha; Lagou, Vasiliki; Mahajan, Anubha; Neinast, Michael D; Prokopenko, Inga; Simino, Jeannette; Teslovich, Tanya M; Jansen, Rick; Westra, Harm-Jan; White, Charles C; Absher, Devin; Ahluwalia, Tarunveer S; Ahmad, Shafqat; Albrecht, Eva; Alves, Alexessander Couto; Bragg-Gresham, Jennifer L; de Craen, Anton J M; Bis, Joshua C; Bonnefond, Amélie; Boucher, Gabrielle; Cadby, Gemma; Cheng, Yu-Ching; Chiang, Charleston W K; Delgado, Graciela; Demirkan, Ayse; Dueker, Nicole; Eklund, Niina; Eiriksdottir, Gudny; Eriksson, Joel; Feenstra, Bjarke; Fischer, Krista.
  • Winkler TW; Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University Regensburg, Regensburg, Germany.
  • Justice AE; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Graff M; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
  • Barata L; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Feitosa MF; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Chu S; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Czajkowski J; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Esko T; Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, United States of America; Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, United States o
  • Fall T; Science for Life Laboratory, Uppsala University, Uppsala, Sweden; Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden.
  • Kilpeläinen TO; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom.
  • Lu Y; The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America; The Department of Preventive Medicine, The Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
  • Mägi R; Estonian Genome Center, Univeristy of Tartu, Tartu, Estonia; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
  • Mihailov E; Estonian Genome Center, Univeristy of Tartu, Tartu, Estonia.
  • Pers TH; Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts, United States of America; Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America; Medical and Population Geneti
  • Rüeger S; Swiss Institute of Bioinformatics, Lausanne, Switzerland; Institute of Social and Preventive Medicine, University Hospital Lausanne (CHUV), Lausanne, Switzerland.
  • Teumer A; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
  • Ehret GB; Department of Specialties of Internal Medicine, Geneva University Hospital, Geneva, Switzerland; Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
  • Ferreira T; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
  • Heard-Costa NL; Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America; National Heart, Lung, and Blood Institute, the Framingham Heart Study, Framingham, Massachusetts, United States of America.
  • Karjalainen J; University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands.
  • Lagou V; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, United Kingdom.
  • Mahajan A; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
  • Neinast MD; Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
  • Prokopenko I; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, United Kingdom; Hammersmith Hospital, London, United Kingdom; Department of Genomics of Common Diseases,
  • Simino J; Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Teslovich TM; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Jansen R; Department of Psychiatry and EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands.
  • Westra HJ; Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America; Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massa
  • White CC; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
  • Absher D; HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, United States of America.
  • Ahluwalia TS; Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Steno Diabetes Center A/S, Gentofte, Denmark; COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and G
  • Ahmad S; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital Malmö, Malmö, Sweden.
  • Albrecht E; Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Alves AC; Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPA) Centre for Environment and Health, School of Public Health, Imperial College, London, United Kingdom.
  • Bragg-Gresham JL; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.
  • de Craen AJ; Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
  • Bis JC; Cardiovascular Health Research Unit, University of Washington, Seattle, Washington, United States of America; Department of Medicine, University of Washington, Seattle, Washington, United States of America.
  • Bonnefond A; CNRS UMR 8199, Lille, France; European Genomic Institute for Diabetes, Lille, France; Université de Lille 2, Lille, France.
  • Boucher G; Montreal Heart Institute, Montréal, Québec, Canada.
  • Cadby G; Centre for Genetic Origins of Health and Disease, University of Western Australia, Crawley, Western Australia, Australia.
  • Cheng YC; VA Maryland Health Care System, Baltimore, Maryland, United States of America; University of Maryland School of Medicine, Department of Medicine, Baltimore, Maryland, United States of America.
  • Chiang CW; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, California, United States of America.
  • Delgado G; Vth Department of Medicine, Mannheim Medical Faculty, University of Heidelberg, Mannheim, Germany.
  • Demirkan A; Genetic Epidemiology Unit, Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Dueker N; Universiy of Maryland School of Medicine, Department of Epidemiology & Public Health, Baltimore, Maryland, United States of America.
  • Eklund N; National Institute for Health and Welfare, Department of Chronic Disease Prevention, Helsinki, Finland; National Institute for Health and Welfare, Public Health Genomics Unit, Helsinki, Finland; Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
  • Eiriksdottir G; Icelandic Heart Association, Kopavogur, Iceland.
  • Eriksson J; Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Feenstra B; Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
  • Fischer K; Estonian Genome Center, Univeristy of Tartu, Tartu, Estonia.
PLoS Genet ; 11(10): e1005378, 2015 Oct.
Article en En | MEDLINE | ID: mdl-26426971
ABSTRACT
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Predisposición Genética a la Enfermedad / Tamaño Corporal / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Predisposición Genética a la Enfermedad / Tamaño Corporal / Estudio de Asociación del Genoma Completo Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2015 Tipo del documento: Article