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Results of Genome Wide Association Studies Improve the Accuracy of Genomic Selection

Friday, August 22, 2014
Posters (The Westin Bayshore)
Zhe Zhang , South China Agricultural University, Guangzhou, China
Jinlong He , South China Agricultural University, Guangzhou, China
Hao Zhang , South China Agricultural University, Guangzhou, China
Ping Gao , South China Agricultural University, Guangzhou, China
Malena Erbe , Georg-August University, Göttingen, Germany
Henner Simianer , Georg-August University, Göttingen, Germany
Jiaqi Li , South China Agricultural University, Guangzhou, China
Abstract Text:

Genomic selection (GS) is widely implemented in livestock breeding due to its potential to accelerate genetic progress. Recently, results of genome wide association study (GWAS) are accumulated for most livestock species. Are these GWAS results useful for GS or not? We validated their usefulness with a dairy cattle population using a BLUP|GA model. Genotypes and phenotypes of 2,000 bulls and a cattle QTL list from animalQTLdb were used. We compared the accuracy of BLUP|GA and GBLUP with five-fold cross validation. Results showed that the public GWAS results can improve the accuracy of GS via BLUP|GA. BLUP|GA outperformed GBLUP for traits with large effect genes. Both the prior knowledge of QTL counts and p value were useful to improve GS accuracy. BLUP|GA deserved further investigations for species for which GWAS results are publically available.

Keywords:

genomic selection

genome wide association study

dairy cattle

genetic architecture

See more of: Posters: Statistical Methods - Linear and Nonlinear Models (Group 1)
See more of: Methods and Tools: Statistical methods - linear and nonlinear models
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