| Title: | Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers |
| Journal: | Nature Communications |
| Published: | 9 Jul 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35810165/ |
| DOI: | https://doi.org/10.1038/s41467-022-31625-5 |
| URL: | https://www.nature.com/articles/s41467-022-31625-5.pdf |
| Citations: | 27 (26 in last 2 years) as of 8 Aug 2024 |
Publication 10354
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Abstract
Gene-environment interactions represent the modification of genetic effects by environmental exposures and are critical for understanding disease and informing personalized medicine. These often induce differential phenotypic variance across genotypes; these variance-quantitative trait loci can be prioritized in a two-stage interaction detection strategy to greatly reduce the computational and statistical burden and enable testing of a broader range of exposures. We perform genome-wide variance-quantitative trait locus analysis for 20 serum cardiometabolic biomarkers by multi-ancestry meta-analysis of 350,016 unrelated participants in the UK Biobank, identifying 182 independent locus-biomarker pairs (p < 4.5×10−9). Most are concentrated in a small subset (4%) of loci with genome-wide significant main effects, and 44% replicate (p < 0.05) in the Women's Genome Health Study (N = 23,294). Next, we test each locus-biomarker pair for interaction across 2380 exposures, identifying 847 significant interactions (p < 2.4×10−7), of which 132 are independent (p < 0.05) after accounting for correlation between exposures. Specific examples demonstrate interaction of triglyceride-associated variants with distinct body mass- versus body fat-related exposures as well as genotype-specific associations between alcohol consumption and liver stress at the ADH1B gene. Our catalog of variance-quantitative trait loci and gene-environment interactions is publicly available in an online portal.</p>
11 Authors
- Kenneth E. Westerman
- Timothy D. Majarian
- Franco Giulianini
- Dong-Keun Jang
- Jenkai Miao
- Jose C. Florez
- Han Chen
- Daniel I. Chasman
- Miriam S. Udler
- Alisa K. Manning
- Joanne B. Cole
1 Application
| Application ID | Title |
|---|---|
| 27892 | Genetic studies of type 2 diabetes, related metabolic traits, and their complications |
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