Pulit, Sara L, Stoneman, Charli, Morris, Andrew P, Wood, AndrewR, Glastonbury, Craig A, Tyrrell, Jessica, Yengo, Loic, Ferreira, Teresa, Marouli, Eirini, Ji, Yingjie et al (show 12 more authors)
(2019)
Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.
HUMAN MOLECULAR GENETICS, 28 (1).
pp. 166-174.
ISSN 0964-6906, 1460-2083
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | GIANT Consortium, Adipose Tissue, Humans, Obesity, Genetic Predisposition to Disease, Body Mass Index, Waist-Hip Ratio, Gene Frequency, Polymorphism, Single Nucleotide, Alleles, Adult, Female, Male, Adiposity, Body Fat Distribution, Genome-Wide Association Study, White People |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 08 Oct 2018 09:27 |
| Last Modified: | 07 Dec 2024 05:21 |
| DOI: | 10.1093/hmg/ddy327 |
| Open Access URL: | https://academic.oup.com/hmg/advance-article/doi/1... |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3027179 |
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