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Genetic studies of body mass index yield new insights for obesity biology.
Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati.
Afiliación
  • Locke AE; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Kahali B; Department of Internal Medicine, Division of Gastroenterology, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Berndt SI; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
  • Justice AE; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
  • Pers TH; Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA.
  • Day FR; Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.
  • Powell C; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.
  • Vedantam S; Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby 2800, Denmark.
  • Buchkovich ML; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
  • Yang J; Department of Internal Medicine, Division of Gastroenterology, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Croteau-Chonka DC; Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA.
  • Esko T; Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.
  • Fall T; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
  • Ferreira T; Queensland Brain Institute, The University of Queensland, Brisbane 4072, Australia.
  • Gustafsson S; The University of Queensland Diamantina Institute, The Translation Research Institute, Brisbane 4012, Australia.
  • Kutalik Z; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
  • Luan J; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.
  • Mägi R; Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA.
  • Randall JC; Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.
  • Winkler TW; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.
  • Wood AR; Estonian Genome Center, University of Tartu, Tartu 51010, Estonia.
  • Workalemahu T; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden.
  • Faul JD; Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden.
  • Smith JA; Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75185, Sweden.
  • Zhao JH; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Zhao W; Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden.
  • Chen J; Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75185, Sweden.
  • Fehrmann R; Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne 1010, Switzerland.
  • Hedman ÅK; Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland.
  • Karjalainen J; Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland.
  • Schmidt EM; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
  • Absher D; Estonian Genome Center, University of Tartu, Tartu 51010, Estonia.
  • Amin N; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Anderson D; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Beekman M; Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.
  • Bolton JL; Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany.
  • Bragg-Gresham JL; Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK.
  • Buyske S; Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
  • Demirkan A; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48104, USA.
  • Deng G; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Ehret GB; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
  • Feenstra B; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Feitosa MF; Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Fischer K; Department of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.
  • Goel A; Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden.
  • Gong J; Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75185, Sweden.
  • Jackson AU; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Kanoni S; Department of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands.
  • Kleber ME; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Kristiansson K; HudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA.
Nature ; 518(7538): 197-206, 2015 Feb 12.
Article en En | MEDLINE | ID: mdl-25673413
ABSTRACT
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Estudio de Asociación del Genoma Completo / Obesidad Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Nature Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Índice de Masa Corporal / Estudio de Asociación del Genoma Completo / Obesidad Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Nature Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos