Human molecular genetics · 2019
Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.
СтатьяМетаанализПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
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, GIANT Consortium, Hattersley Andrew T, Loos Ruth J F, Hirschhorn Joel N, Visscher Peter M, Frayling Timothy M, Yaghootkar Hanieh, Lindgren Cecilia M
Аннотация
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.