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Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.
Pulit, Sara L; Stoneman, Charli; Morris, Andrew P; Wood, Andrew R; Glastonbury, Craig A; Tyrrell, Jessica; Yengo, Loïc; Ferreira, Teresa; Marouli, Eirini; Ji, Yingjie; Yang, Jian; Jones, Samuel; Beaumont, Robin; Croteau-Chonka, Damien C; Winkler, Thomas W; Hattersley, Andrew T; Loos, Ruth J F; Hirschhorn, Joel N; Visscher, Peter M; Frayling, Timothy M; Yaghootkar, Hanieh; Lindgren, Cecilia M.
Afiliação
  • Pulit SL; Big Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, UK.
  • Stoneman C; Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Morris AP; Program in Medical and Population Genetics, Broad Institute, Boston, MA, USA.
  • Wood AR; University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter, UK.
  • Glastonbury CA; Biostatistics Department, University of Liverpool, Liverpool, UK.
  • Tyrrell J; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
  • Yengo L; University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter, UK.
  • Ferreira T; Big Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, UK.
  • Marouli E; University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter, UK.
  • Ji Y; Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
  • Yang J; Big Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, UK.
  • Jones S; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Beaumont R; University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter, UK.
  • Croteau-Chonka DC; Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
  • Winkler TW; Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia.
  • Hattersley AT; University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter, UK.
  • Loos RJF; Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Hirschhorn JN; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Frayling TM; University of Exeter Medical School, University of Exeter, Royal Devon and Exeter NHS Trust, Exeter, UK.
  • Yaghootkar H; The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, the Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Lindgren CM; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Hum Mol Genet ; 28(1): 166-174, 2019 01 01.
Article em En | MEDLINE | ID: mdl-30239722
ABSTRACT
More than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting risk of obesity sequelae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (WHRadjBMI), and identified 463 signals in 346 loci. Heritability and variant effects were generally stronger in women than men, and we found approximately one-third of all signals to be sexually dimorphic. The 5% of individuals carrying the most WHRadjBMI-increasing alleles were 1.62 times more likely than the bottom 5% to have a WHR above the thresholds used for metabolic syndrome. These data, made publicly available, will inform the biology of body fat distribution and its relationship with disease.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Distribuição da Gordura Corporal / Adiposidade / Obesidade Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Distribuição da Gordura Corporal / Adiposidade / Obesidade Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article