Bayesian fine-mapping and Mendelian randomization leveraging expression quantitative trait loci reveal novel candidate causal genes for body conformation traits in cattle

文献类型： 外文期刊

第一作者： Teng, Jun

作者： Teng, Jun;Duan, Chongwei;Zhang, Xinyi;Chen, Zhujun;Ning, Chao;Zhang, Qin;Li, Rongling;Gao, Yundong;Li, Jianbin;Wang, Xiao;Gao, Hongding;Liu, Huiming

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关键词： GWAS; Bayesian fine-mapping; Mendelian randomization; body conformation traits; cattle

期刊名称：JOURNAL OF DAIRY SCIENCE （ 影响因子：4.4； 五年影响因子：4.4 ）

ISSN： 0022-0302

年卷期： 2025 年 108 卷 8 期

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收录情况： SCI

摘要： Cattle body size measurements constitute the conformation traits that facilitate their production, fertility, and longevity status. Prioritizing functional variants and causal genes of conformation traits is essential for understanding their genetic basis. In this study, we conducted single-trait and multitrait GWAS for 20 body conformation traits using imputed sequence data in 7,674 Chinese Holstein individuals and identified 27 QTL regions. Leveraging these QTL regions, we performed multitrait Bayesian fine-mapping to identify 30 independent credible sets of putative causal variants. Incorporating GWAS and cis-acting expression QTL data, Mendelian randomization was used to infer 153 putative causal gene-trait relationships. The previously reported genes, such as CCND2, TMTC2, and NRG3, were confirmed in NETO2, TTYH3, TTC3, ANAPC4, and PSMD]3. Our results provide new insights into the regulatory mechanisms of body conformation traits in cattle.

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