Randomized trial demonstrates genetic loci linked to body measurement traits in Yili horses, suggesting implications for breeding.
Key Points
This study aims to identify genetic loci associated with body measurement traits in Yili horses using both conventional and machine learning-based GWAS methods.
Used a population of 255 adult Yili mares, including speed-type and meat-type individuals.
Conducted genome-wide association study using a mixed linear model and machine learning techniques, including Lasso regression and Random Forest.
Identified 238 mutation loci and annotated 277 candidate genes associated with body measurement traits.
Identified 238 mutation loci significantly associated with body measurement traits.
Annotated 277 candidate genes involved in biological processes such as muscle formation and energy metabolism.
Showed improved detection of genetic signals by integrating machine learning with conventional GWAS methods.