ArticleNature communications2015
Genetic interactions contribute less than additive effects to quantitative trait variation in yeast.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.
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Who cites it
98 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Alzheimer disease is (sometimes) highly heritable: Drivers of variation in heritability estimates for binary traits, a systematic review.PLoS genetics · 2025Pooled it
- CYClones: a highly powered, fully genotyped, eight-parent yeast mapping population.G3 (Bethesda, Md.) · 2026Article
- Pervasive context-dependent effects in the genetic architecture of complex and quantitative traits revealed by a powerful multiparent mapping population in yeast.PLoS genetics · 2026Article
- Modular PheWAS reveals the therapeutic heterogeneity landscape of Danghong injection on stable angina pectoris.Molecular biomedicine · 2026Article
- High-resolution genotype-free mapping of genetic variation with CRI-SPA-Map.Genome research · 2026Article
- Laboratory yeast crosses reveal limited epistasis in the genetic basis of complex traits.bioRxiv : the preprint server for biology · 2026Article
- Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025Article
- Testing the Mother's Curse Hypothesis in Human Mitochondrial Genome Evolution.Genome biology and evolution · 2025Article
- Concordance between male- and female-specific GWAS results helps define underlying genetic architecture of complex traits.Nature communications · 2025Article
- High-resolution, genotype-free mapping of genetic variation with CRI-SPA-Map.bioRxiv : the preprint server for biology · 2025Article
- Interaction of genetic variants activates latent metabolic pathways in yeast.Nature communications · 2025Article
- Learning sequence-function relationships with scalable, interpretable Gaussian processes.bioRxiv : the preprint server for biology · 2025Article
- Translational fidelity and longevity are genetically linked.Nature communications · 2025Article
- Neanderthal introgressed ancestry reveals human genomic regions enriched with recessive deleterious mutations.bioRxiv : the preprint server for biology · 2025Article
- Epistasis and cryptic QTL identified using modified bulk segregant analysis of copper resistance in budding yeast.Genetics · 2025Article
- STICI: Split-Transformer with integrated convolutions for genotype imputation.Nature communications · 2025Article
- A new ensemble learning method stratified sampling blending optimizes conventional blending and improves prediction performance.Bioinformatics advances · 2025Article
- Epistasis and cryptic QTL identified using modified bulk segregant analysis of copper resistance in budding yeast.bioRxiv : the preprint server for biology · 2024Article
- A complete chromosome substitution mapping panel reveals genome-wide epistasis in Arabidopsis.Heredity · 2024Article
38 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
Abstract
Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate. Here we use a very large cross between two yeast strains to accurately estimate the fraction of phenotypic variance due to pairwise QTL-QTL interactions for 20 quantitative traits. We find that this fraction is 9% on average, substantially less than the contribution of additive QTL (43%). Statistically significant QTL-QTL pairs typically have small individual effect sizes, but collectively explain 40% of the pairwise interaction variance. We show that pairwise interaction variance is largely explained by pairs of loci at least one of which has a significant additive effect. These results refine our understanding of the genetic architecture of quantitative traits and help guide future mapping studies.
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