Across-breed genomic prediction for body weight in Siberian cattle populations

Abstract

Body weight (BW) is an important heritable phenotype and related to other functional and production traits in cattle. The pastdecade has seen an increase in emphasis on genome wide association studies (GWAS) for detecting single nucleotide polymorphisms(SNPs) that are associated with quantitative phenotypes. Prediction of phenotypes using across-breed GWAS information [genomicprediction (GP)] is an also important research area but received less attention from the community. Understanding the link betweenmajor genes and common ancestors within and between breeds will contribute to a deeper understanding of GP across breeds. Theaims of the present study were two-fold: 1) to examine genetic structure and to detect associated SNPs for BW using various single andmultiple locus genomic models and 2) genomic prediction of BW using Siberian cattle populations based on across-breed genomicinformation. The most obvious finding to emerge from this study was the increase in the across-GP accuracy when gene segregation inboth related populations was found. These findings have significant implications for the understanding of the way in which commonancestors and/or the presence of quantitative trait loci might affect the accuracy of the GP results.