Evaluation of genomic selection models using whole genome sequence data and functional annotation in Belgian Blue cattle.

ABSTRACT:

Background

The availability of large cohorts of whole-genome sequenced individuals, combined with functional annotation, is expected to provide opportunities to improve the accuracy of genomic selection (GS). However, such benefits have not often been observed in initial applications. The reference population for GS in Belgian Blue Cattle (BBC) continues to grow. Combined with the availability of reference panels of sequenced individuals, it provides an opportunity to evaluate GS models using whole genome sequence (WGS) data and functional annotation.

Results

Here, we used data from 16,508 cows, with phenotypes for five muscular development traits and imputed at the WGS level, in combination with in silico functional annotation and catalogs of putative regulatory variants ob

SUBMITTER: Yuan C 

PROVIDER: S-EPMC11881496 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature