ArticlePLoS genetics2016
Weak Epistasis Generally Stabilizes Phenotypes in a Mouse Intercross.
Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Mapping of genotype-by-environment interaction loci for Metabolic Syndrome-like traits using the multi-parentbioRxiv : the preprint server for biology · 2025Article
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- Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice.G3 (Bethesda, Md.) · 2022Article
- Article
- Multi-scale inference of genetic trait architecture using biologically annotated neural networks.PLoS genetics · 2021Article
- Effects of kinship correction on inflation of genetic interaction statistics in commonly used mouse populations.G3 (Bethesda, Md.) · 2021Article
- Toward an Information Theory of Quantitative Genetics.Journal of computational biology : a journal of computational molecular cell biology · 2021Article
- Modeling epistasis in mice and yeast using the proportion of two or more distinct genetic backgrounds: Evidence for "polygenic epistasis".PLoS genetics · 2020Article
- Genetic Interactions Affect Lung Function in Patients with Systemic Sclerosis.G3 (Bethesda, Md.) · 2020Article
- Tightly linked antagonistic-effect loci underlie polygenic phenotypic variation inEvolution letters · 2019Article
- Testing PleiotropyG3 (Bethesda, Md.) · 2019Article
- Differential expression of human tRNA genes drives the abundance of tRNA-derived fragments.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Viral outbreaks involve destabilized evolutionary networks: evidence from Ebola, Influenza and Zika.Scientific reports · 2017Article
- Widespread epistasis regulates glucose homeostasis and gene expression.PLoS genetics · 2017Article
- Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice.Genetics · 2017Article
- Genetic interactions improve models of quantitative traits.Nature genetics · 2017Article
- Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits.American journal of human genetics · 2017Article
- Are Interactions between cis-Regulatory Variants Evidence for Biological Epistasis or Statistical Artifacts?American journal of human genetics · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The extent and strength of epistasis is commonly unresolved in genetic studies, and observed epistasis is often difficult to interpret in terms of biological consequences or overall genetic architecture. We investigated the prevalence and consequences of epistasis by analyzing four body composition phenotypes--body weight, body fat percentage, femoral density, and femoral circumference--in a large F2 intercross of B6-lit/lit and C3.B6-lit/lit mice. We used Combined Analysis of Pleiotropy and Epistasis (CAPE) to examine interactions for the four phenotypes simultaneously, which revealed an extensive directed network of genetic loci interacting with each other, circulating IGF1, and sex to influence these phenotypes. The majority of epistatic interactions had small effects relative to additive effects of individual loci, and tended to stabilize phenotypes towards the mean of the population rather than extremes. Interactive effects of two alleles inherited from one parental strain commonly resulted in phenotypes closer to the population mean than the additive effects from the two loci, and often much closer to the mean than either single-locus model. Alternatively, combinations of alleles inherited from different parent strains contribute to more extreme phenotypes not observed in either parental strain. This class of phenotype-stabilizing interactions has effects that are close to additive and are thus difficult to detect except in very large intercrosses. Nevertheless, we found these interactions to be useful in generating hypotheses for functional relationships between genetic loci. Our findings suggest that while epistasis is often weak and unlikely to account for a large proportion of heritable variance, even small-effect genetic interactions can facilitate hypotheses of underlying biology in well-powered studies.
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