来自四个欧洲荷斯坦种群的常见参考群体提高了基因组预测的可靠性。
A common reference population from four European Holstein populations increases reliability of genomic predictions.
机构信息
Department of Molecular Biology and Genetics, Faculty of Science and Technology, Aarhus University, AU-Foulum, PO Box 50, DK-8830 Tjele, Denmark.
出版信息
Genet Sel Evol. 2011 Dec 12;43(1):43. doi: 10.1186/1297-9686-43-43.
BACKGROUND
Size of the reference population and reliability of phenotypes are crucial factors influencing the reliability of genomic predictions. It is therefore useful to combine closely related populations. Increased accuracies of genomic predictions depend on the number of individuals added to the reference population, the reliability of their phenotypes, and the relatedness of the populations that are combined.
METHODS
This paper assesses the increase in reliability achieved when combining four Holstein reference populations of 4000 bulls each, from European breeding organizations, i.e. UNCEIA (France), VikingGenetics (Denmark, Sweden, Finland), DHV-VIT (Germany) and CRV (The Netherlands, Flanders). Each partner validated its own bulls using their national reference data and the combined data, respectively.
RESULTS
Combining the data significantly increased the reliability of genomic predictions for bulls in all four populations. Reliabilities increased by 10%, compared to reliabilities obtained with national reference populations alone, when they were averaged over countries and the traits evaluated. For different traits and countries, the increase in reliability ranged from 2% to 19%.
CONCLUSIONS
Genomic selection programs benefit greatly from combining data from several closely related populations into a single large reference population.
背景
参考群体的规模和表型的可靠性是影响基因组预测可靠性的关键因素。因此，将密切相关的群体结合起来是很有用的。基因组预测准确性的提高取决于添加到参考群体中的个体数量、其表型的可靠性以及组合的群体之间的亲缘关系。
方法
本文评估了将来自欧洲育种组织的四个荷斯坦参考群体（每个群体 4000 头公牛）合并时所获得的可靠性的提高，这四个参考群体分别是 UNCEIA（法国）、VikingGenetics（丹麦、瑞典、芬兰）、DHV-VIT（德国）和 CRV（荷兰、佛兰德斯）。每个合作伙伴分别使用其国家参考数据和组合数据来验证自己的公牛。
结果
在所有四个群体中，合并数据显著提高了公牛的基因组预测可靠性。与仅使用国家参考群体获得的可靠性相比，当在国家和评估的性状之间进行平均时，可靠性提高了 10%。对于不同的性状和国家，可靠性的提高范围从 2%到 19%。
结论
基因组选择计划从将来自几个密切相关群体的数据合并到单个大型参考群体中受益匪浅。
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