Genomic Selection for Weaning Weight in Alpine Merino Sheep Based on GWAS Prior Marker Information

文献类型： 外文期刊

第一作者： Wang, Haifeng

作者： Wang, Haifeng;Li, Chenglan;Li, Jianye;Zhang, Rui;An, Xuejiao;Yuan, Chao;Guo, Tingting;Yue, Yaojing;Wang, Haifeng;Li, Chenglan;Li, Jianye;Zhang, Rui;An, Xuejiao;Yuan, Chao;Guo, Tingting;Yue, Yaojing

作者机构：

关键词： genomic selection; GWAS; prior marker information; prediction accuracy

期刊名称：ANIMALS （ 影响因子：2.7； 五年影响因子：3.0 ）

ISSN： 2076-2615

年卷期： 2024 年 14 卷 13 期

页码：

收录情况： SCI

摘要： Simple Summary This study compared the accuracy of estimating the breeding value of weaning weight traits in Alpine Merino sheep using a combination of genome-wide association analysis and genome selection with the best linear unbiased prediction method. The test population was randomly divided into two groups. One group was used for discovering marker information through GWAS analysis and screening the most significant loci, and the other group used different prior marker information to estimate genetic parameters and compare the prediction accuracy of genomic breeding values. The study demonstrates that integrating the genome selection method with prior marker information from GWAS can enhance the prediction accuracy of genome breeding value. This research offers technical support for future breeding efforts of Alpine Merino sheep and the enhancement of genomic breeding value accuracy.Abstract This study aims to compare the accuracy of genomic estimated breeding values (GEBV) estimated using a genomic best linear unbiased prediction (GBLUP) method and GEBV estimates incorporating prior marker information from a genome-wide association study (GWAS) for the weaning weight trait in highland Merino sheep. The objective is to provide theoretical and technical support for improving the accuracy of genomic selection. The study used a population of 1007 highland Merino ewes, with the weaning weight at 3 months as the target trait. The population was randomly divided into two groups. The first group was used for GWAS analysis to identify significant markers, and the top 5%, top 10%, top 15%, and top 20% markers were selected as prior marker information. The second group was used to estimate genetic parameters and compare the accuracy of GEBV predictions using different prior marker information. The accuracy was obtained using a five-fold cross-validation. Finally, both groups were subjected to cross-validation. The study's findings revealed that the heritability of the weaning weight trait, as calculated using the GBLUP model, ranged from 0.122 to 0.394, with corresponding prediction accuracies falling between 0.075 and 0.228. By incorporating prior marker information from GWAS, the heritability was enhanced to a range of 0.125 to 0.407. The inclusion of the top 5% to top 20% significant SNPs from GWAS results as prior information into GS showed potential for improving the accuracy of predicting genomic breeding value.

分类号：

  • 相关文献

[1]Genomic Selection for Live Weight in the 14th Month in Alpine Merino Sheep Combining GWAS Information. Li, Chenglan,Li, Jianye,Wang, Haifeng,Zhang, Rui,An, Xuejiao,Yuan, Chao,Guo, Tingting,Yue, Yaojing,Li, Chenglan,Li, Jianye,Wang, Haifeng,Zhang, Rui,An, Xuejiao,Yuan, Chao,Guo, Tingting,Yue, Yaojing. 2023

作者其他论文 更多>>

微信小程序