Deregressing estimated breeding values and weighting information for genomic regression analyses.
Deregressing estimated breeding values and weighting information for genomic regression analyses.
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DOI：
10.1186/1297-9686-41-55
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发表时间：
2009-12-31
期刊：
影响因子：
--
通讯作者：
Fernando RL
中科院分区：
文献类型：
--
作者：
Garrick DJ;Taylor JF;Fernando RL
育种价值的基因组预测包括所谓的训练分析，该分析通过回归给定个体群体的标记基因类型的观察信息来预测小基因组区域的影响。可用观察的形式可以是个体表型、重复观察、关于近亲家庭成员的记录，如后代、估计的育种值(EBV)或其与遗传评估无关的对应物。文献表明，研究人员在使用EBV或去偏倚数据的方法以及使用适当的方法对某些数据源进行加权以解释异质性差异方面存在不一致。介绍了一种将信息用于基因组预测的逻辑方法，该方法证明了用于分析具有异质性方差的观测的适当权重，并解释了EBV去除亲本平均效应、去偏移和加权的必要性和方式。基因组回归分析的一个适当的去回归是EBV/R2，其中EBV排除亲本信息，R2是该EBV的可靠性。去偏移育种值的合适权重既不是可靠性，也不是预测误差方差，这是已发表的研究中使用的两种替代方法，而是比率(1-h2)/[(c+(1-r2)/r2)h2]，其中c>；0是未被标记解释的遗传方差的分数。一些个体的表型信息和另一些个体的去偏向数据可以使用适当的权重在基因组分析中结合起来。
Genomic prediction of breeding values involves a so-called training analysis that predicts the influence of small genomic regions by regression of observed information on marker genotypes for a given population of individuals. Available observations may take the form of individual phenotypes, repeated observations, records on close family members such as progeny, estimated breeding values (EBV) or their deregressed counterparts from genetic evaluations. The literature indicates that researchers are inconsistent in their approach to using EBV or deregressed data, and as to using the appropriate methods for weighting some data sources to account for heterogeneous variance. A logical approach to using information for genomic prediction is introduced, which demonstrates the appropriate weights for analyzing observations with heterogeneous variance and explains the need for and the manner in which EBV should have parent average effects removed, be deregressed and weighted. An appropriate deregression for genomic regression analyses is EBV/r2 where EBV excludes parent information and r2 is the reliability of that EBV. The appropriate weights for deregressed breeding values are neither the reliability nor the prediction error variance, two alternatives that have been used in published studies, but the ratio (1 - h2)/[(c + (1 - r2)/r2)h2] where c > 0 is the fraction of genetic variance not explained by markers. Phenotypic information on some individuals and deregressed data on others can be combined in genomic analyses using appropriate weighting.
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影响因子：
3.3
作者：
Gianola, Daniel;de los Campos, Gustavo;Fernando, Rohan
通讯作者：
Fernando, Rohan
影响因子：
3.5
作者：
Stranden, I.;Garrick, D. J.
通讯作者：
Garrick, D. J.
影响因子：
3.3
作者：
Calus, M P L;Meuwissen, T H E;Veerkamp, R F
通讯作者：
Veerkamp, R F
影响因子：
3.5
作者：
Rodriguez-Zas, SL;Southey, BR;Lewin, HA
通讯作者：
Lewin, HA
影响因子：
1.9
作者：
HENDERSON, CR
通讯作者：
HENDERSON, CR