Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations.

ABSTRACT: Genomic prediction methods based on multiple markers have potential to include nonadditive effects in prediction and analysis of complex traits. However, most developments assume a Hardy-Weinberg equilibrium (HWE). Statistical approaches for genomic selection that account for dominance and epistasis in a general context, without assuming HWE (e.g., crosses or homozygous lines), are therefore needed. Our method expands the natural and orthogonal interactions (NOIA) approach, which builds incidence matrices based on genotypic (not allelic) frequencies, to include genome-wide epistasis for an arbitrary number of interacting loci in a genomic evaluation context. This results in an orthogonal partition of the variances, which is not warranted otherwise. We also present the partition of v

SUBMITTER: Vitezica ZG 

PROVIDER: S-EPMC5500131 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature