ArticleeLife2014
Genetic interactions affecting human gene expression identified by variance association mapping.
Article in eLife, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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Who cites it
76 citing papers in PubMed.
- Genetic impacts on within-pair DNA methylation variance in monozygotic twins capture gene-environment interactions and cell-type effects.Genome biology · 2026Article
- Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026Article
- Mean and variance heterogeneity loci impact kernel compositional traits in maize.The plant genome · 2025Article
- Biophysical constraints on mRNA decay rates shape macroevolutionary divergence in steady-state abundances.bioRxiv : the preprint server for biology · 2025Article
- The integration of quantile regression with 3VmrMLM identifies more QTNs and QTN-by-environment interactions using SNP- and haplotype-based markers.Plant communications · 2025Article
- Pleiotropy, epistasis and the genetic architecture of quantitative traits.Nature reviews. Genetics · 2024Review
- Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank.Nature communications · 2024Article
- Genome-wide discovery for biomarkers using quantile regression at biobank scale.Nature communications · 2024Article
- A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data.Nature communications · 2024Article
- A new test for trait mean and variance detects unreported loci for blood-pressure variation.American journal of human genetics · 2024Article
- Detecting genetic effects on phenotype variability to capture gene-by-environment interactions: a systematic method comparison.G3 (Bethesda, Md.) · 2024Review
- Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits.American journal of human genetics · 2023Article
- A fast non-parametric test of association for multiple traits.Genome biology · 2023Article
- Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies.G3 (Bethesda, Md.) · 2023Article
- A role for heritable transcriptomic variation in maize adaptation to temperate environments.Genome biology · 2023Article
- A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data.bioRxiv : the preprint server for biology · 2023Article
- Article
- Genome-wide association analyses identify genotype-by-environment interactions of growth traits in Simmental cattle.Scientific reports · 2021Article
- Genetic impacts on DNA methylation: research findings and future perspectives.Genome biology · 2021Review
- Multi-tissue transcriptome-wide association studies.Genetic epidemiology · 2021Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Non-additive interaction between genetic variants, or epistasis, is a possible explanation for the gap between heritability of complex traits and the variation explained by identified genetic loci. Interactions give rise to genotype dependent variance, and therefore the identification of variance quantitative trait loci can be an intermediate step to discover both epistasis and gene by environment effects (GxE). Using RNA-sequence data from lymphoblastoid cell lines (LCLs) from the TwinsUK cohort, we identify a candidate set of 508 variance associated SNPs. Exploiting the twin design we show that GxE plays a role in ∼70% of these associations. Further investigation of these loci reveals 57 epistatic interactions that replicated in a smaller dataset, explaining on average 4.3% of phenotypic variance. In 24 cases, more variance is explained by the interaction than their additive contributions. Using molecular phenotypes in this way may provide a route to uncovering genetic interactions underlying more complex traits.DOI: http://dx.doi.org/10.7554/eLife.01381.001.
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