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对 694649 名欧洲血统个体的体脂分布进行全基因组关联研究的荟萃分析。

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

机构信息

Big Data Institute, Li Ka Shing Center for Health Information and Discovery, Oxford University, Oxford, UK.

Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.

出版信息

Hum Mol Genet. 2019 Jan 1;28(1):166-174. doi: 10.1093/hmg/ddy327.

DOI:10.1093/hmg/ddy327
PMID:30239722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6298238/
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.

摘要

全球超过三分之一的成年人超重或肥胖。流行病学研究表明,多余脂肪的位置和分布比总体肥胖更能提供有关肥胖后果(包括心血管代谢疾病和癌症)风险的信息。我们对通过体重指数(WHRadjBMI)调整的腰围与臀围比(WHR)测量的体脂分布进行了全基因组关联研究荟萃分析,在 346 个基因座中鉴定出 463 个信号。遗传力和变异效应在女性中通常比男性更强,我们发现大约三分之一的信号存在性别二态性。携带 WHRadjBMI 增加等位基因最多的 5%的个体比携带最少 WHRadjBMI 等位基因的个体发生代谢综合征相关的 WHR 高于阈值的可能性高 1.62 倍。这些公开的数据将为体脂分布的生物学及其与疾病的关系提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0784/6298238/e104275fd043/ddy327f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0784/6298238/17cc25d9cc56/ddy327f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0784/6298238/e104275fd043/ddy327f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0784/6298238/17cc25d9cc56/ddy327f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0784/6298238/e104275fd043/ddy327f2.jpg

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