ArticlePloS one2020
Novel methods for epistasis detection in genome-wide association studies.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Considerations in the search for epistasis.Genome biology · 2024Review
- Epistasis and pleiotropy-induced variation for plant breeding.Plant biotechnology journal · 2024Review
- Next-Gen GWAS: full 2D epistatic interaction maps retrieve part of missing heritability and improve phenotypic prediction.Genome biology · 2024Article
- Unlocking allelic variation in circadian clock genes to develop environmentally robust and productive crops.Planta · 2024Review
- A systematic analysis of gene-gene interaction in multiple sclerosis.BMC medical genomics · 2022Article
- GWAS for main effects and epistatic interactions for grain morphology traits in wheat.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022Article
- Review
- Genomics of Endometriosis: From Genome Wide Association Studies to Exome Sequencing.International journal of molecular sciences · 2021Review
- Roles of interacting stress-related genes in lifespan regulation: insights for translating experimental findings to humans.Journal of translational genetics and genomics · 2021Article
- How to increase our belief in discovered statistical interactions via large-scale association studies?Human genetics · 2019Review
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Authors and funding
4 authors.
Funding
Abstract
More and more genome-wide association studies are being designed to uncover the full genetic basis of common diseases. Nonetheless, the resulting loci are often insufficient to fully recover the observed heritability. Epistasis, or gene-gene interaction, is one of many hypotheses put forward to explain this missing heritability. In the present work, we propose epiGWAS, a new approach for epistasis detection that identifies interactions between a target SNP and the rest of the genome. This contrasts with the classical strategy of epistasis detection through exhaustive pairwise SNP testing. We draw inspiration from causal inference in randomized clinical trials, which allows us to take into account linkage disequilibrium. EpiGWAS encompasses several methods, which we compare to state-of-the-art techniques for epistasis detection on simulated and real data. The promising results demonstrate empirically the benefits of EpiGWAS to identify pairwise interactions.
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Registered trials
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