| Literature DB >> 30239722 |
Sara L Pulit1,2,3, Charli Stoneman4, Andrew P Morris5,6, Andrew R Wood4, Craig A Glastonbury1, Jessica Tyrrell4, Loïc Yengo7, Teresa Ferreira1, Eirini Marouli8, Yingjie Ji4, Jian Yang7,9, Samuel Jones4, Robin Beaumont4, Damien C Croteau-Chonka10, Thomas W Winkler11, Andrew T Hattersley4, Ruth J F Loos12, Joel N Hirschhorn13,14,15,16, Peter M Visscher7,9, Timothy M Frayling4, Hanieh Yaghootkar4, Cecilia M Lindgren1,3,6.
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.Entities:
Mesh：
Year: 2019 PMID： 30239722 PMCID： PMC6298238 DOI： 10.1093/hmg/ddy327
Source DB: PubMed Journal: Hum Mol Genet ISSN： 0964-6906 Impact factor: 6.150