A genome-wide association study of the racing performance traits in Yili horses based on Blink and FarmCPU models.

ABSTRACT: Racing performance traits are the main indicators for evaluating the performance and value of sport horses. The aim of this study was to identify the key genes for racing performance traits in Yili horses by performing a genome-wide association study (GWAS). Breeding values for racing performance traits were calculated for Yili horses (n = 827) using an animal model. Genome-wide association analysis of racing performance traits in horses (n = 236) was carried out using the Blink, and FarmCPU models in GAPIT software, and genes within the significant regions were functionally annotated. The results of GWAS showed that a total of 24 significant SNP markers (P < 6.05 × 10^- 9) and 22 suggestive SNP markers (P < 1.21 × 10^- 7) were identified. Among them, the Blink associat

SUBMITTER: Wang C 

PROVIDER: S-EPMC11557848 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature