The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study
Permanent link
https://hdl.handle.net/10037/8654Date
2015-10-01Type
Journal articleTidsskriftartikkel
Peer reviewed
Author
Winkler, Thomas W; Justice, Anne E; Graff, Mariaelisa; Barata, Llilda; Feitosa, Mary F.; Chu, Su; Czajkowski, Jacek; Esko, Tõnu; Fall, Tove; Kilpeläinen, Tuomas O.; Lu, Yingchang; Mägi, Reedik; Mihailov, Evelin; Pers, Tune H.; Rüeger, Sina; Teumer, Alexander; Ehret, Georg B.; Ferreira, Teresa; Heard-Costa, Nancy L.; Karjalainen, Juha; Lagou, Vasiliki; Mahajan, Anubha; Neinast, Michael D.; Prokopenko, Inga; Simino, Jeannette; Teslovich, Tanya M.; Jansen, Rick; Westra, Harm-Jan; White, Charles C.; Absher, Devin; Ahluwalia, Tarunveer S.; Ahmad, Shafqat; Albrecht, Eva; Alves, Alexessander Couto; Bragg-Gresham, Jennifer L.; de Craen, Anton J. M.; Bis, Joshua C.; Bonnefond, Amélie; Cadby, Gemma; Cheng, Yu-Ching; Chiang, Charleston W. K.; Delgado, Graciela; Demirkan, Ayse; Dueker, Nicole; Eklund, Niina; Eiriksdottir, Gudny; Holmen, Oddgeir; Hveem, Kristian; Njølstad, IngerAbstract
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. Adult body size and body shape differ substantially between men and women and change
over time. More than 100 genetic variants that influence body mass index (measure of
body size) or waist-to-hip ratio (measure of body shape) have been identified. While
there is evidence that some genetic loci affect body shape differently in men than in
women, little is known about whether genetic effects differ in older compared to younger
adults, and whether such changes differ between men and women. Therefore, we conducted
a systematic genome-wide search, including 114 studies (>320,000 individuals), to
specifically identify genetic loci with age- and or sex-dependent effects on body size and
shape. We identified 15 loci of which the effect on BMI was different in older compared to
younger adults, whereas we found no evidence for loci with different effects in men compared
to women. The opposite was seen for body shape as we identified 44 loci of which
the effect on waist-to-hip ratio differed between men and women, but no difference
between younger and older adults were observed. Our observations may provide new
insights into the biology that underlies weight change with age or the sexual dimorphism
of body shape.