Comparative genome-wide association study of single- and multi-locus models with ontology analysis for enhancing Hanwoo cow reproductive traits

Abstract

The reproductive characteristics of Hanwoo play a significant role in farm profitability by decreasing the generation interval. This study analyzed 1015 primiparous and 916 multiparous cows using a genome-wide association study with both single-locus (GEMMA, GCTA) and multi-locus models (FarmCPU, BLINK). A significant marker for age at first service was identified across all methods. For age at first conception, GEMMA identified two markers, while FarmCPU and BLINK identified 14 and two markers, respectively. Regarding age at first calving, GEMMA identified two markers, and FarmCPU and BLINK found 15 and two markers, respectively. In multiparous cows, except for days open, one marker for gestation length and two markers for calving interval were identified in the multi-locus models (FarmCPU and BLINK). Additionally, one marker for the number of services per conception was identified using GEMMA. Key candidate genes included PLCB1 (maintaining pregnancy), MUC1 (fetal development), and ADCY5 (associated with fetal birth), while TXNL1 regulates embryo implantation timing. Gene ontology functions associated with embryo implantation and placental regulation were also confirmed (GO:0046875). Although the multi-locus models identified a greater number of markers and candidate genes, there was no overlap with the results from the single-locus models. The multi-locus models showed enhanced detection power, but slight inflation in test statistics (lambda values) necessitates cautious interpretation to avoid false positives. Thus, a combination of both models is recommended to improve reproductive efficiency in cows, providing valuable insights into the genetic aspects of reproductive traits.