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.
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DOI:
10.1186/1297-9686-43-19
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发表时间:
2011-05-17
期刊:
影响因子:
--
通讯作者:
Reents R
中科院分区:
文献类型:
--
作者:
Liu Z;Seefried FR;Reinhardt F;Rensing S;Thaller G;Reents R
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.
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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
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.
影响因子:
3.5
作者:
Aguilar, I.;Misztal, I.;Lawlor, T. J.
通讯作者:
Lawlor, T. J.
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.