Impacts of both reference population size and inclusion of a residual polygenic effect on the accuracy of genomic prediction.

Impacts of both reference population size and inclusion of a residual polygenic effect on the accuracy of genomic prediction.
复制标题

DOI:
10.1186/1297-9686-43-19
复制
发表时间:
2011-05-17
期刊:
Genetics, selection, evolution : GSE
影响因子:
--
通讯作者:
Reents R
Reents R
中科院分区:
其他
文献类型:
--
作者:
Liu Z;Seefried FR;Reinhardt F;Rensing S;Thaller G;Reents R

文献摘要

参考文献

被引文献

相似文献

这项工作的目的是研究基因组参考群体的大小和包含残余多基因效应对基因组信息增强的奶牛遗传评价的影响。用包含残余多基因效应的基因组BLUP模型估计德国荷斯坦牛的直接基因组价值。利用44个性状的表型对17429头荷斯坦公牛进行了基因分型评价。实施了Interbull基因组验证试验,以研究包含残余多基因效应如何影响基因组估计育种值。随着参考公牛数量的增加,单核苷酸多态性效应估计值的方差和选择候选者直接基因组值的可靠性都增加。在模型中拟合残余多基因效应导致基因组增强育种值偏差较小,并且降低了参考群体中种群的直接基因组值与估计育种值之间的相关性。利用基因组信息增强的奶牛遗传评估在提高可靠性方面非常有效,并且使用了大量的基因组参考群体。我们发现,拟合残余多基因效应减少了基因组增强育种值的偏差,降低了直接基因组值与父系估计育种值之间的相关性,并使基因组增强育种值在均值和方差上更加一致,就像基于家系的估计育种值一样。
The purpose of this work was to study the impact of both the size of genomic reference populations and the inclusion of a residual polygenic effect on dairy cattle genetic evaluations enhanced with genomic information. Direct genomic values were estimated for German Holstein cattle with a genomic BLUP model including a residual polygenic effect. A total of 17,429 genotyped Holstein bulls were evaluated using the phenotypes of 44 traits. The Interbull genomic validation test was implemented to investigate how the inclusion of a residual polygenic effect impacted genomic estimated breeding values. As the number of reference bulls increased, both the variance of the estimates of single nucleotide polymorphism effects and the reliability of the direct genomic values of selection candidates increased. Fitting a residual polygenic effect in the model resulted in less biased genome-enhanced breeding values and decreased the correlation between direct genomic values and estimated breeding values of sires in the reference population. Genetic evaluation of dairy cattle enhanced with genomic information is highly effective in increasing reliability, as well as using large genomic reference populations. We found that fitting a residual polygenic effect reduced the bias in genome-enhanced breeding values, decreased the correlation between direct genomic values and sire's estimated breeding values and made genome-enhanced breeding values more consistent in mean and variance as is the case for pedigree-based estimated breeding values.
DOI: 10.1186/1297-9686-42-5
发表时间: 2010-02-19
期刊: Genetics, selection, evolution : GSE
影响因子: --
作者:
Habier D;Tetens J;Seefried FR;Lichtner P;Thaller G
通讯作者: Thaller G
DOI: 10.1186/1297-9686-41-53
发表时间: 2009-12-29
期刊: Genetics, selection, evolution : GSE
影响因子: --
作者:
Solberg TR;Sonesson AK;Woolliams JA;Odegard J;Meuwissen TH
通讯作者: Meuwissen TH
DOI: 10.1534/genetics.107.081190
发表时间: 2007-12-01
期刊: GENETICS
影响因子: 3.3
作者:
Habier, D.;Fernando, R. L.;Dekkers, J. C. M.
通讯作者: Dekkers, J. C. M.
DOI: 10.3168/jds.2009-2730
发表时间: 2010-02-01
影响因子: 3.5
作者:
Aguilar, I.;Misztal, I.;Lawlor, T. J.
通讯作者: Lawlor, T. J.
DOI: 10.1534/genetics.107.084285
发表时间: 2008-04-01
期刊: GENETICS
影响因子: 3.3
作者:
Gianola, Daniel;van Kaam, Johannes B. C. H. M.
通讯作者: van Kaam, Johannes B. C. H. M.