Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations.

ABSTRACT: BACKGROUND:Whole-genome sequence (WGS) data could contain information on genetic variants at or in high linkage disequilibrium with causative mutations that underlie the genetic variation of polygenic traits. Thus far, genomic prediction accuracy has shown limited increase when using such information in dairy cattle studies, in which one or few breeds with limited diversity predominate. The objective of our study was to evaluate the accuracy of genomic prediction in a multi-breed Australian sheep population of relatively less related target individuals, when using information on imputed WGS genotypes. METHODS:Between 9626 and 26,657 animals with phenotypes were available for nine economically important sheep production traits and all had WGS imputed genotypes. About 30% of the data were us

SUBMITTER: Moghaddar N 

PROVIDER: S-EPMC6896509 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature