Searching for new loci and candidate genes for economically important traits through gene-based association analysis of Simmental cattle.

ABSTRACT: Single-marker genome-wide association study (GWAS) is a convenient strategy of genetic analysis that has been successful in detecting the association of a number of single-nucleotide polymorphisms (SNPs) with quantitative traits. However, analysis of individual SNPs can only account for a small proportion of genetic variation and offers only limited knowledge of complex traits. This inadequacy may be overcome by employing a gene-based GWAS analytic approach, which can be considered complementary to the single-SNP association analysis. Here we performed an initial single-SNP GWAS for bone weight (BW) and meat pH value with a total of 770,000 SNPs in 1141 Simmental cattle. Additionally, 21836 cattle genes collected from the Ensembl Genes 83 database were analyzed to find supplementary eviden

SUBMITTER: Xia J 

PROVIDER: S-EPMC5294460 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature