Jun 17, 2016

Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast

BioRxiv : the Preprint Server for Biology
Simon K G ForsbergOrjan Carlborg


Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, 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 multi-locus 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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Mentioned in this Paper

Drug Interactions
Genotype Determination
Genetic Loci
Population Group
EAF2 gene
Research Study

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