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Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry
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 perf...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298238/ https://www.ncbi.nlm.nih.gov/pubmed/30239722 http://dx.doi.org/10.1093/hmg/ddy327 |
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author | 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 Hattersley, Andrew T Loos, Ruth J F Hirschhorn, Joel N Visscher, Peter M Frayling, Timothy M Yaghootkar, Hanieh Lindgren, Cecilia M |
author_facet | 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 Hattersley, Andrew T Loos, Ruth J F Hirschhorn, Joel N Visscher, Peter M Frayling, Timothy M Yaghootkar, Hanieh Lindgren, Cecilia M |
author_sort | Pulit, Sara L |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6298238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62982382018-12-21 Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry 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 Hattersley, Andrew T Loos, Ruth J F Hirschhorn, Joel N Visscher, Peter M Frayling, Timothy M Yaghootkar, Hanieh Lindgren, Cecilia M Hum Mol Genet Association Studies Article 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. Oxford University Press 2019-01-01 2018-09-14 /pmc/articles/PMC6298238/ /pubmed/30239722 http://dx.doi.org/10.1093/hmg/ddy327 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Association Studies Article 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 Hattersley, Andrew T Loos, Ruth J F Hirschhorn, Joel N Visscher, Peter M Frayling, Timothy M Yaghootkar, Hanieh Lindgren, Cecilia M Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry |
title | Meta-analysis of genome-wide association studies
for body fat distribution in 694 649 individuals of European ancestry |
title_full | Meta-analysis of genome-wide association studies
for body fat distribution in 694 649 individuals of European ancestry |
title_fullStr | Meta-analysis of genome-wide association studies
for body fat distribution in 694 649 individuals of European ancestry |
title_full_unstemmed | Meta-analysis of genome-wide association studies
for body fat distribution in 694 649 individuals of European ancestry |
title_short | Meta-analysis of genome-wide association studies
for body fat distribution in 694 649 individuals of European ancestry |
title_sort | meta-analysis of genome-wide association studies
for body fat distribution in 694 649 individuals of european ancestry |
topic | Association Studies Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298238/ https://www.ncbi.nlm.nih.gov/pubmed/30239722 http://dx.doi.org/10.1093/hmg/ddy327 |
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