1. Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank
- Author
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Futao Zhang, Jian Zeng, Allan F. McRae, Yang Wu, Michael E. Goddard, Peter M. Visscher, Joseph E. Powell, Naomi R. Wray, Kathryn E. Kemper, Jian Yang, Huanwei Wang, Min Zhang, and Angli Xue
- Subjects
Linkage disequilibrium ,Genotype ,Quantitative Trait Loci ,Genome-wide association study ,Environment ,Quantitative trait locus ,Biology ,complex mixtures ,White People ,03 medical and health sciences ,Quantitative Trait, Heritable ,0302 clinical medicine ,Genetic variation ,Humans ,Computer Simulation ,Genetic Predisposition to Disease ,Obesity ,Gene–environment interaction ,Research Articles ,Biological Specimen Banks ,030304 developmental biology ,0303 health sciences ,Multidisciplinary ,fungi ,Genetic variants ,food and beverages ,SciAdv r-articles ,Genetic Variation ,Human Genetics ,equipment and supplies ,Phenotype ,Biobank ,Large sample ,Evolutionary biology ,Trait ,bacteria ,Gene-Environment Interaction ,030217 neurology & neurosurgery ,Research Article ,Genome-Wide Association Study - Abstract
We show that genotype-by-environment interaction can be inferred from an analysis without environmental data in a large sample., Genotype-by-environment interaction (GEI) is a fundamental component in understanding complex trait variation. However, it remains challenging to identify genetic variants with GEI effects in humans largely because of the small effect sizes and the difficulty of monitoring environmental fluctuations. Here, we demonstrate that GEI can be inferred from genetic variants associated with phenotypic variability in a large sample without the need of measuring environmental factors. We performed a genome-wide variance quantitative trait locus (vQTL) analysis of ~5.6 million variants on 348,501 unrelated individuals of European ancestry for 13 quantitative traits in the UK Biobank and identified 75 significant vQTLs with P < 2.0 × 10−9 for 9 traits, especially for those related to obesity. Direct GEI analysis with five environmental factors showed that the vQTLs were strongly enriched with GEI effects. Our results indicate pervasive GEI effects for obesity-related traits and demonstrate the detection of GEI without environmental data.
- Published
- 2019