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

Authors :
Samuel E. Jones
Charli Stoneman
Robin N Beaumont
Ruth J. F. Loos
Sara L. Pulit
Andrew R. Wood
Andrew P. Morris
Craig A. Glastonbury
Jessica Tyrrell
Yingjie Ji
Joel N. Hirschhorn
Timothy M. Frayling
Eirini Marouli
Cecilia M. Lindgren
Peter M. Visscher
Damien C. Croteau-Chonka
Teresa Ferreira
Andrew T. Hattersley
Loic Yengo
Hanieh Yaghootkar
Thomas W. Winkler
Jian Yang
Source :
Human Molecular Genetics
Publication Year :
2018
Publisher :
Oxford University Press, 2018.

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.

Details

Language :
English
ISSN :
14602083 and 09646906
Volume :
28
Issue :
1
Database :
OpenAIRE
Journal :
Human Molecular Genetics
Accession number :
edsair.doi.dedup.....5d53eb756a315eacb7f040295a80539b