Identifying novel genes for carcass traits by testing G x E interaction through genome-wide meta-analysis in Chinese Simmental beef cattle

文献类型： 外文期刊

第一作者： Wang, Xiaoqiao

作者： Wang, Xiaoqiao;Miao, Jian;Xia, Jiangwei;Chang, Tianpeng;Xu, Lingyang;Zhang, Lupei;Zhu, Bo;Gao, Xue;Chen, Yan;Li, Junya;Gao, Huijiang;Miao, Jian;Guangxin, E.;Bao, Jinshan;Jin, Shengyun

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关键词： Genome-wide gene x environment interaction (GWEI) studies; Meta-analysis; Chinese Simmental beef cattle; Candidate genes; Carcass traits

期刊名称：LIVESTOCK SCIENCE （ 影响因子：1.943； 五年影响因子：2.252 ）

ISSN： 1871-1413

年卷期： 2018 年 212 卷

页码：

收录情况： SCI

摘要： Over the past decade, genome-wide association studies (GWASs) have successfully identified hundreds of genetic variants associated with economically important production traits in beef cattle. Environmental factors, such as farm, year, and season, have been included in GWASs to represent systematic effects that can mask environmentally specific genetic effects. Genome-wide gene x environment interaction (GWEI) studies have emerged in recent years, although few have been conducted for livestock because of the considerable associated challenges. Because of the popularity of meta-analyses in GWASs, these analyses have also been applied to detect genotype by environment (G x E) interactions. In this study, we use a meta-analytic approach based on a mixed model to combine five years, which were defined as multiple environments, to identify novel genes involved in G x E interactions for carcass weight (CW) and bone weight (BW) in Chinese Simmental beef cattle. We found two and five novel candidate genes for CW trait and BW trait, respectively. These genes were RIMS2, PRKAR2B, GPR133, AKAP1, PCDH10, and AADAT, with PRKAR2B overlapping for the two carcass traits.

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