An integrative approach to prioritize candidate causal genes for complex traits in cattle.

ABSTRACT: Genome-wide association studies (GWAS) have identified many quantitative trait loci (QTL) associated with complex traits, predominantly in non-coding regions, posing challenges in pinpointing the causal variants and their target genes. Three types of evidence can help identify the gene through which QTL acts: (1) proximity to the most significant GWAS variant, (2) correlation of gene expression with the trait, and (3) the gene's physiological role in the trait. However, there is still uncertainty about the success of these methods in identifying the correct genes. Here, we test the ability of these methods in a comparatively simple series of traits associated with the concentration of polar lipids in milk. We conducted single-trait GWAS for ~14 million imputed variants and 56 individual mi

SUBMITTER: Ghoreishifar M 

PROVIDER: S-EPMC12158001 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature