ArticleNature genetics2017
Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast.
Article in Nature genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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Who cites it
74 citing papers in PubMed.
- BaGGLS: a Bayesian shrinkage framework for interpretable modeling of interactions in high-dimensional biological data.Bioinformatics (Oxford, England) · 2026Article
- MMGS: a novel genomic prediction framework to integrate genotype, environment and their interactions for multi-environment breeding trials.Horticulture research · 2026Article
- Interaction of genetic variants activates latent metabolic pathways in yeast.Nature communications · 2025Article
- Mapping of genotype-by-environment interaction loci for Metabolic Syndrome-like traits using the multi-parentbioRxiv : the preprint server for biology · 2025Article
- Longitudinal sequencing reveals polygenic and epistatic nature of genomic response to selection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Targeting the Inflammation-Metabolism Axis in MGUS: Causal Roles of CXCL10 Mediated by Blood Metabolites.Mediators of inflammation · 2025Article
- Understanding genetic variants in context.eLife · 2024Article
- A complete chromosome substitution mapping panel reveals genome-wide epistasis in Arabidopsis.Heredity · 2024Article
- Pleiotropy, epistasis and the genetic architecture of quantitative traits.Nature reviews. Genetics · 2024Review
- Genomic determinants, architecture, and constraints in drought-related traits in Corymbia calophylla.BMC genomics · 2024Article
- The genetics of gaits in Icelandic horses goes beyond DMRT3, with RELN and STAU2 identified as two new candidate genes.Genetics, selection, evolution : GSE · 2023Article
- Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits.American journal of human genetics · 2023Article
- The limitations of phenotype prediction in metabolism.PLoS computational biology · 2023Article
- Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies.G3 (Bethesda, Md.) · 2023Article
- Higher-order epistasis shapes natural variation in germ stem cell niche activity.Nature communications · 2023Article
- Incorporating kernelized multi-omics data improves the accuracy of genomic prediction.Journal of animal science and biotechnology · 2022Article
- Identification of risk genes for Alzheimer's disease by gene embedding.Cell genomics · 2022Article
- Prediction performance of linear models and gradient boosting machine on complex phenotypes in outbred mice.G3 (Bethesda, Md.) · 2022Article
- The interplay of additivity, dominance, and epistasis on fitness in a diploid yeast cross.Nature communications · 2022Article
- Genetic basis of a spontaneous mutation's expressivity.Genetics · 2022Article
14 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, the notion that most genetic variance in populations is additive. Here we describe networks of capacitating genetic interactions that contribute to quantitative trait variation in a large yeast intercross population. The additive variance explained by individual loci in a network is highly dependent on the allele frequencies of the interacting loci. Modeling of phenotypes for multilocus genotype classes in the epistatic networks is often improved by accounting for the interactions. We discuss the implications of these results for attempts to dissect genetic architectures and to predict individual phenotypes and long-term responses to selection.
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