Incorporating Genetic Heterogeneity in Whole-Genome Regressions Using Interactions.

ABSTRACT: Naturally and artificially selected populations usually exhibit some degree of stratification. In Genome-Wide Association Studies and in Whole-Genome Regressions (WGR) analyses, population stratification has been either ignored or dealt with as a potential confounder. However, systematic differences in allele frequency and in patterns of linkage disequilibrium can induce sub-population-specific effects. From this perspective, structure acts as an effect modifier rather than as a confounder. In this article, we extend WGR models commonly used in plant and animal breeding to allow for sub-population-specific effects. This is achieved by decomposing marker effects into main effects and interaction components that describe group-specific deviations. The model can be used both with variable sel

SUBMITTER: de Los Campos G 

PROVIDER: S-EPMC4666286 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature