Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank
Huanwei Wang, Futao Zhang, Jian Zeng, Yang Wu, Kathryn E Kemper, Angli Xue, Min Zhang, Joseph E Powell, Michael E Goddard, Naomi R Wray, Peter M Visscher, Allan F McRae, Jian Yang
SCIENCE ADVANCES | AMER ASSOC ADVANCEMENT SCIENCE | Published : 2019
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 s..View full abstract
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Awarded by Australian Research Council
Awarded by Australian National Health and Medical Research Council
This research was supported by the Australian Research Council (DP160101343 and DP160101056, FT180100186), the Australian National Health and Medical Research Council (1078037, 1078901, 1113400, 1107258, and 1083656), and the Sylvia & Charles Viertel Charitable Foundation.