Leveraging genome-wide association analyses with chip and imputed data emerges potential pleiotropic region for four duck growth traits.

ABSTRACT: Average daily gain (ADG), body weight (BW), primary feather length (PRF) and breast depth (BD) are economically important traits in duck production, and understanding the genetic architecture of these traits remains limited. Genome-wide association studies (GWAS) can provide insight into the genetic mechanism underlying these traits. Increasing the power of GWAS by applying approaches such as genotype imputation can improve the ability to detect quantitative trait loci associations with polygenic traits. To increase the power of detecting marker-trait associations in this study, we also exploited imputed data and on a larger sample size. The objective of this study was to investigate marker-trait associations for ADG, BW, PRF and BD in ducks. First, we conducted univariate GWA analyses usi

SUBMITTER: Tarsani E 

PROVIDER: S-EPMC12223076 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature