the importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes信息的重要性的亲戚基因组育种值的预测和对参考数据集的组成在家畜育种方案.pdf

Clark et al. Genetics Selection Evolution 2012, 44:4 Ge n e t i c s /content/44/1/4 Se l e c t i o n Evolution RESEARCH Open Access The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes 1,2* 1 2,3 1,2 Samuel A Clark , John M Hickey , Hans D Daetwyler and Julius HJ van der Werf Abstract Background: The theory of genomic selection is based on the prediction of the effects of genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic selection also relies on relationships between individuals to accurately predict genetic value. This study aimed to examine the importance of information on relatives versus that of unrelated or more distantly related individuals on the estimation of genomic breeding values. Methods: Simulated and real data were used to examine the effects of various degrees of relationship on the accuracy of genomic selection. Genomic Best Linear Unbiased Prediction (gBLUP) was compared to two pedigree based BLUP methods, one with a shallow one generation pedigree and the other with a deep ten generation pedigree. The accuracy of estimated breeding values for different groups of selection candidates that had varying degrees of relationships to a reference data set of 1750 animals was investigated. Results: The gBLUP method predicted breeding values more accurately th