Clark Samuel A, van der Werf Julius
School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.
Methods Mol Biol. 2013;1019:321-30. doi: 10.1007/978-1-62703-447-0_13.
Genomic best linear unbiased prediction (gBLUP) is a method that utilizes genomic relationships to estimate the genetic merit of an individual. For this purpose, a genomic relationship matrix is used, estimated from DNA marker information. The matrix defines the covariance between individuals based on observed similarity at the genomic level, rather than on expected similarity based on pedigree, so that more accurate predictions of merit can be made. gBLUP has been used for the prediction of merit in livestock breeding, may also have some applications to the prediction of disease risk, and is also useful in the estimation of variance components and genomic heritabilities.
基因组最佳线性无偏预测（gBLUP）是一种利用基因组关系来估计个体遗传价值的方法。为此，使用从DNA标记信息估计得到的基因组关系矩阵。该矩阵基于基因组水平上观察到的相似性来定义个体间的协方差，而非基于系谱的预期相似性，从而能够对遗传价值进行更准确的预测。gBLUP已用于家畜育种中的遗传价值预测，在疾病风险预测中也可能有一些应用，并且在方差成分和基因组遗传力的估计中也很有用。
