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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.<\/jats:p>","DOI":"10.1093\/hmg\/ddy327","type":"journal-article","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T07:42:26Z","timestamp":1536738146000},"page":"166-174","source":"Crossref","is-referenced-by-count":1222,"title":["Meta-analysis of genome-wide association studies\n for body fat distribution in 694\u00a0649 individuals of European ancestry"],"prefix":"10.1093","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2502-3669","authenticated-orcid":false,"given":"Sara L","family":"Pulit","sequence":"first","affiliation":[{"name":"Big Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, UK"},{"name":"Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands"},{"name":"Program in Medical and Population Genetics, Broad Institute, 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