Genomic prediction based on runs of homozygosity

摘要

BackgroundGenomic prediction is based on the accurate estimation of the genomic relationships among and between training animals and selection candidates in order to obtain accurate estimates of the genomic estimated breeding values (GEBV). Various methods have been used to predict GEBV based on population-wide linkage disequilibrium relationships (>G>IBS) or sometimes on linkage analysis relationships (>G>LA). Here, we propose a novel method to predict GEBV based on a genomic relationship matrix using runs of homozygosity (>G>ROH). Runs of homozygosity were used to derive probabilities of multi-locus identity by descent chromosome segments. The accuracy and bias of the prediction of GEBV using >G>ROH were compared to those using >G>IBS and >G>LA. Comparisons were performed using simulated datasets derived from a random pedigree and a real pedigree of Italian Brown Swiss bulls. The comparison of accuracies of GEBV was also performed on data from 1086 Italian Brown Swiss dairy cattle.