TY - JOUR
T1 - Genotype-covariate interaction effects and the heritability of adult body mass index
AU - Robinson, Matthew R.
AU - English, Geoffrey
AU - Moser, Gerhard
AU - Lloyd-Jones, Luke R.
AU - Triplett, Marcus A.
AU - Zhu, Zhihong
AU - Nolte, Ilja M.
AU - Van Vliet-Ostaptchouk, Jana V.
AU - Snieder, Harold
AU - Esko, Tonu
AU - Milani, Lili
AU - Mägi, Reedik
AU - Metspalu, Andres
AU - Magnusson, Patrik K.E.
AU - Pedersen, Nancy L.
AU - Ingelsson, Erik
AU - Johannesson, Magnus
AU - Yang, Jian
AU - Cesarini, David
AU - Visscher, Peter M.
N1 - Publisher Copyright:
© 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Obesity is a worldwide epidemic, with major health and economic costs. Here we estimate heritability for body mass index (BMI) in 172,000 sibling pairs and 150,832 unrelated individuals and explore the contribution of genotype-covariate interaction effects at common SNP loci. We find evidence for genotype-age interaction (likelihood ratio test (LRT) = 73.58, degrees of freedom (df) = 1, P = 4.83 × 10 -18), which contributed 8.1% (1.4% s.e.) to BMI variation. Across eight self-reported lifestyle factors, including diet and exercise, we find genotype-environment interaction only for smoking behavior (LRT = 19.70, P = 5.03 × 10 -5 and LRT = 30.80, P = 1.42 × 10 -8), which contributed 4.0% (0.8% s.e.) to BMI variation. Bayesian association analysis suggests that BMI is highly polygenic, with 75% of the SNP heritability attributable to loci that each explain <0.01% of the phenotypic variance. Our findings imply that substantially larger sample sizes across ages and lifestyles are required to understand the full genetic architecture of BMI.
AB - Obesity is a worldwide epidemic, with major health and economic costs. Here we estimate heritability for body mass index (BMI) in 172,000 sibling pairs and 150,832 unrelated individuals and explore the contribution of genotype-covariate interaction effects at common SNP loci. We find evidence for genotype-age interaction (likelihood ratio test (LRT) = 73.58, degrees of freedom (df) = 1, P = 4.83 × 10 -18), which contributed 8.1% (1.4% s.e.) to BMI variation. Across eight self-reported lifestyle factors, including diet and exercise, we find genotype-environment interaction only for smoking behavior (LRT = 19.70, P = 5.03 × 10 -5 and LRT = 30.80, P = 1.42 × 10 -8), which contributed 4.0% (0.8% s.e.) to BMI variation. Bayesian association analysis suggests that BMI is highly polygenic, with 75% of the SNP heritability attributable to loci that each explain <0.01% of the phenotypic variance. Our findings imply that substantially larger sample sizes across ages and lifestyles are required to understand the full genetic architecture of BMI.
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U2 - 10.1038/ng.3912
DO - 10.1038/ng.3912
M3 - Article
C2 - 28692066
AN - SCOPUS:85026347306
SN - 1061-4036
VL - 49
SP - 1174
EP - 1181
JO - Nature Genetics
JF - Nature Genetics
IS - 8
ER -