期刊
NATURE GENETICS
卷 49, 期 4, 页码 497-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/ng.3800
关键词
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资金
- Howard Hughes Medical Institute
- NIH [R01 GM102308, F32 GM116318]
- Swedish Research Council [621-2012-4632]
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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