Integrative analysis of GWAS, Bayesian fine-mapping, Mendelian randomization and colocalization reveals genetic determinants underlying milk-related traits in dairy cattle.

doi:10.1186/s12711-025-01028-3

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Integrative analysis of GWAS, Bayesian fine-mapping, Mendelian randomization and colocalization reveals genetic determinants underlying milk-related traits in dairy cattle.

Genetics, selection, evolution : GSE - 3 Jan 2026

Teng Jun, Zhao Xiuxin, Yan Qingxia, Yang Jian, Pei Fen, Zhang Xinyi, Duan Chongwei, Chen Zhujun, Xu Qianwen, Liu Yan, Xue Guanghui, Xia Shuwen, Wang Huili, Gu Yao, Fang Lingzhao, Liu Huiming, Gao Hongding, An Jing, Jiang Li, Ning Chao, Li Rongling, Gao Yundong, Wang Xiao, Li Jianbin, Zhang Qin

Abstract excerpt

BACKGROUND: Genome-wide association studies (GWAS) has identified many genetic variants associated with milk-related traits in dairy cattle. However, the causal variants or genes remain largely unknown. In this study, using a large population (> 10,000 individuals) of Chinese Holstein cattle, we performed GWAS for six milk-related traits (milk yield, fat percentage, protein percentage, fat yield, protein yield,...

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PMID: 41484547
DOI: 10.1186/s12711-025-01028-3
PMCID: PMC12784616

Genes

AHNAK
ARHGEF2
CS
DGAT1
FDPS
GHR
SCGB2A2
SOX13

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