4.5 Article

Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

Journal

HUMAN MOLECULAR GENETICS
Volume 28, Issue 1, Pages 166-174

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddy327

Keywords

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Funding

  1. Li Ka Shing Foundation
  2. WT-SSI/John Fell funds
  3. National Institute for Health Research Biomedical Research Centre, Oxford, by Widenlife
  4. National Institutes of Health [CRR00070 CR00.01]
  5. Dutch Organization for Scientific Research [Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)] [016.186.071]
  6. Diabetes UK RD Lawrence fellowship [17/0005594]
  7. European Research Council [323195]
  8. Wellcome Trust
  9. Royal Society [104150/Z/14/Z]
  10. European Regional Development Fund
  11. Diabetes Research and Wellness Foundation Fellowship
  12. Medical Research Council [MR/M005070/1]
  13. Australian National Health and Medical Research Council [1078037, 1113400]
  14. Sylvia & Charles Viertel Charitable Foundation
  15. U.S. National Institutes of Health [K01 HL127265]
  16. MRC [1930042] Funding Source: UKRI
  17. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [K01HL127265] Funding Source: NIH RePORTER
  18. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [R01DK075787] Funding Source: NIH RePORTER

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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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