Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle.
Sara de Las Heras-SaldanaBryan Irvine LopezNasir MoghaddarWoncheoul ParkJong-Eun ParkKi Y ChungDajeong LimSeung H LeeDonghyun ShinJulius H J van der WerfPublished in: Genetics, selection, evolution : GSE (2020)
Our results show that, in Hanwoo beef cattle, when SNPs are pre-selected from GWAS on imputed sequence data, the accuracy of prediction improves only slightly whereas the contribution of SNPs that are selected based on gene expression is not significant. The benefit of statistical models to prioritize selected SNPs for estimating genomic breeding values is trait-specific and depends on the genetic architecture of each trait.