Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 64,772 bioRxiv papers from 287,133 authors.
Meta-analysis of genome-wide association studies for body fat distribution in 694,649 individuals of European ancestry
Sara L Pulit,
Andrew P Morris,
Andrew R Wood,
Craig A Glastonbury,
Damien C Croteau-Chonka,
Thomas W Winkler,
Andrew T Hattersley,
Ruth J F Loos,
Joel N Hirschhorn,
Peter M. Visscher,
Timothy M Frayling,
Cecilia M Lindgren
Posted 18 Apr 2018
bioRxiv DOI: 10.1101/304030 (published DOI: 10.1093/hmg/ddy327)
Posted 18 Apr 2018
One in four adults worldwide are either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, is most informative for predicting risk of obesity sequellae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio adjusted for BMI (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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