家畜全基因组关联分析研究进展

doi:10.16431/j.cnki.1671-7236.2018.02.022

Abstract

Abstract:

Genome-wide association study (GWAS) is an analytical method, has been used to study candidate of economical traits in animals. In recent years, with the completion of the whole genome sequencing for livestock, a large number of single nucleotide polymorphisms (SNPs) have been identified. GWAS is also more and more applied in the field of important traits for livestock. Finding important SNPs that control the important economic traits of livestock by GWAS analysis to unearth candidate genes for important economic traits in animal genetics and breeding. This paper reviews the GWAS analysis methods and it's research progress in important livestock breeding. Statistical analysis methods include genommic control, stratification analysis, principal components analysis (PAC) and mixed-linear-model association (MLMA). The methods of pathway analysis include non-nuclear methods (gene enrichment analysis (GSEA) and hierarchical Bayes prioritization (HBP)) and algorithms. This review will provide reference for further research on genetic background of the important traits of livestock by GWAS.

Key words: livestock; genome-wide association study (GWAS); statistical methods; pathway analysis

CLC Number:

S813.3

ZHAO Desheng, ZHANG Chongzhi. Research Progress on Genome-wide Association in Livestock[J]. , 2018, 45(2): 463-470.

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Research Progress on Genome-wide Association in Livestock

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