Genetic interactions contribute less than additive effects to quantitative trait variation in yeast

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作者
Joshua S. Bloom
Iulia Kotenko
Meru J. Sadhu
Sebastian Treusch
Frank W. Albert
Leonid Kruglyak
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[1] University of California,Department of Human Genetics
[2] Los Angeles,Department of Molecular Biology
[3] Howard Hughes Medical Institute,Department of Biological Chemistry
[4] University of California,undefined
[5] Los Angeles,undefined
[6] Princeton University,undefined
[7] Twist Bioscience,undefined
[8] University of California,undefined
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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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