RT Journal Article
SR Electronic
T1 Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 059485
DO 10.1101/059485
A1 Simon K. G. Forsberg
A1 Joshua S. Bloom
A1 Meru J. Sadhu
A1 Leonid Kruglyak
A1 Örjan Carlborg
YR 2016
UL http://biorxiv.org/content/early/2016/10/31/059485.abstract
AB 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.