Identification of candidate gene networks affecting the number of somatic cells count and milk production in Iranian Holstein cows using Genome-wide association study.

ABSTRACT: One of the most powerful tools for identifying genomic regions associated with various phenotypes is GWAS. Identifying genes influencing milk production traits in Iranian Holstein dairy cows is crucial to understanding the genetic mechanisms underlying these traits and improving future milk production. Therefore, using a single-step GWAS, this study aimed to identify genomic regions, genes, and pathways associated with milk yield (MY), milk fat percentage (FP), milk protein percentage (PP), and somatic cell count (SCC) traits in the Iranian Holstein cattle population. In this study, 210 animals were genotyped using 30K (150 animals from Herd 1) and 50K (60 animals from Herd 2) SNP arrays. Genotypes were then imputed to whole-genome sequence level using the 1000 Bull Genomes Project referen

SUBMITTER: Maddahi N 

PROVIDER: S-EPMC12402163 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature