Abstract

The relative contributions of additive versus non-additive interactions in the regulation of complex traits remains controversial. This may be in part because large-scale epistasis has traditionally been difficult to detect in complex, multi-cellular organisms. We hypothesized that it would be easier to detect interactions using mouse chromosome substitution strains that simultaneously incorporate allelic variation in many genes on a controlled genetic background. Analyzing metabolic traits and gene expression levels in the offspring of a series of crosses between mouse chromosome substitution strains demonstrated that inter-chromosomal epistasis was a dominant feature of these complex traits. Epistasis typically accounted for a larger proportion of the heritable effects than those due solely to additive effects. These epistatic interactions typically resulted in trait values returning to the levels of the parental CSS host strain. Due to the large epistatic effects, analyses that did not account for interactions consistently underestimated the true effect sizes due to allelic variation or failed to detect the loci controlling trait variation. These studies demonstrate that epistatic interactions are a common feature of complex traits and thus identifying these interactions is key to understanding their genetic regulation.

Highlights

  • The genetic basis of complex traits and diseases results from the combined action of many genetic variants [1]

  • Most complex traits and diseases are regulated by the combined influence of multiple genetic variants

  • It remains controversial whether these genetic variants independently influence complex traits, and the impact of each variant could be added together, or whether the variants work together to influence trait variation, in which case the combined impact of multiple variants would differ from the summed impact of each individual variant

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Summary

Introduction

The genetic basis of complex traits and diseases results from the combined action of many genetic variants [1]. It remains unclear whether these variants act individually in an additive manner or via non-additive epistatic interactions. A number of genome-wide interaction-based association studies in humans have provided evidence for epistasis in a variety of complex traits and diseases [9,10,11,12,13,14,15]. Concerns remain over whether observed epistatic interactions are due to statistical or experimental artifacts [16,17]

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