Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance.

ABSTRACT:

Background

Mastitis is a disease that incurs significant costs in the dairy industry. A promising approach to mitigate its negative effects is to genetically improve the resistance of dairy cattle to mastitis. A meta-analysis of genome-wide association studies (GWAS) across multiple breeds for clinical mastitis (CM) and its indicator trait, somatic cell score (SCS), is a powerful method to identify functional genetic variants that impact mastitis resistance.

Results

We conducted meta-analyses of eight and fourteen GWAS on CM and SCS, respectively, using 30,689 and 119,438 animals from six dairy cattle breeds. Methods for the meta-analyses were selected to properly account for the multi-breed structure of the GWAS data. Our study revealed 58 lead markers that were associated

SUBMITTER: Cai Z 

PROVIDER: S-EPMC11247842 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature