The influence of age and sex on genetic associations with adult body size and shape: a large-scale genome-wide interaction study
The influence of age and sex on genetic associations with adult body size and shape: a large-scale genome-wide interaction study
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
Winkler, T.W.
afbe6fad-045d-4aaf-aecd-7677a08e4a37
Justice, A.E.
e7c64de8-d8a3-471b-8b08-e6c019af112a
Graff, M.
ae073f16-5c1b-4827-85d6-4b242852c4d4
Barata, L.
73e29e07-cc75-4c2a-929f-a312d5fece91
Feitosa, M.F.
05a52ab1-8d3c-437e-b373-2fab38a46898
Alves, A.C.
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
al, et
92ccc94a-7496-4a9a-bc72-d148b181bac3
1 October 2015
Winkler, T.W.
afbe6fad-045d-4aaf-aecd-7677a08e4a37
Justice, A.E.
e7c64de8-d8a3-471b-8b08-e6c019af112a
Graff, M.
ae073f16-5c1b-4827-85d6-4b242852c4d4
Barata, L.
73e29e07-cc75-4c2a-929f-a312d5fece91
Feitosa, M.F.
05a52ab1-8d3c-437e-b373-2fab38a46898
Alves, A.C.
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
al, et
92ccc94a-7496-4a9a-bc72-d148b181bac3
Winkler, T.W., Justice, A.E., Graff, M., Barata, L., Feitosa, M.F., Alves, A.C. and al, et
(2015)
The influence of age and sex on genetic associations with adult body size and shape: a large-scale genome-wide interaction study.
PLoS Genetics.
(doi:10.1371/journal.pgen.1005378).
Abstract
Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR<5%) age-specific effects, of which 11 had larger effects in younger (<50y) than in older adults (≥50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may provide further insights into the biology that underlies weight change with age or the sexually dimorphism of body shape.
Text
file (2)
- Version of Record
More information
Accepted/In Press date: 22 June 2015
Published date: 1 October 2015
Identifiers
Local EPrints ID: 494735
URI: http://eprints.soton.ac.uk/id/eprint/494735
ISSN: 1553-7390
PURE UUID: 5d99e861-35bb-4e58-b01c-303f9e3b3093
Catalogue record
Date deposited: 14 Oct 2024 17:11
Last modified: 17 Oct 2024 02:08
Export record
Altmetrics
Contributors
Author:
T.W. Winkler
Author:
A.E. Justice
Author:
M. Graff
Author:
L. Barata
Author:
M.F. Feitosa
Author:
A.C. Alves
Author:
et al
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics