期刊
SCIENCE ADVANCES
卷 5, 期 8, 页码 -出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/sciadv.aaw3538
关键词
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资金
- Australian Research Council [DP160101343, DP160101056, FT180100186]
- Australian National Health and Medical Research Council [1078037, 1078901, 1113400, 1107258, 1083656]
- Sylvia & Charles Viertel Charitable Foundation
- National Health and Medical Research Council of Australia [1107258] Funding Source: NHMRC
- Australian Research Council [FT180100186] Funding Source: Australian Research Council
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 similar to 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 < 2.0x10(-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.
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