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
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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
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