NWIPB OpenIR
Integrating Genome-Wide CNVs Into QTLs and High Confidence GWAScore Regions Identified Positional Candidates for Sheep Economic Traits
Cheng, Jie; Cao, Xiukai; Hanif, Quratulain; Pi, Li; Hu, Linyong; Huang, Yongzhen; Lan, Xianyong; Lei, Chuzhao; Chen, Hong
2020
发表期刊FRONTIERS IN GENETICS
卷号11
摘要Copy number variations (CNVs) are important source of genetic variation, which can affect diverse economic traits through a variety of mechanisms. In addition, genome scan can identify many quantitative trait loci (QTLs) for the economic traits, while genome-wide association studies (GWAS) can localize genetic variants associated with the phenotypic variations. Here, we developed a method called GWAScore which collected GWAS summary data to identify potential candidates, and integrated CNVs into QTLs and high confidence GWAScore regions to detect crucial CNV markers for sheep growth traits. We got 197 candidate genes which were overlapping with the candidate CNVs. Some crucial genes (MYLK3,TTC29,HERC6,ABCG2,RUNX1, etc.) showed significantly elevated GWAScore peaks than other candidate genes. In this study, we developed the GWAScore method to excavate the potential value of candidate genes as markers for the sheep molecular breeding.
关键词copy number variations QTL GWAS GWAScore sheep economic traits
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/60310
专题中国科学院西北高原生物研究所
推荐引用方式
GB/T 7714
Cheng, Jie,Cao, Xiukai,Hanif, Quratulain,et al. Integrating Genome-Wide CNVs Into QTLs and High Confidence GWAScore Regions Identified Positional Candidates for Sheep Economic Traits[J]. FRONTIERS IN GENETICS,2020,11.
APA Cheng, Jie.,Cao, Xiukai.,Hanif, Quratulain.,Pi, Li.,Hu, Linyong.,...&Chen, Hong.(2020).Integrating Genome-Wide CNVs Into QTLs and High Confidence GWAScore Regions Identified Positional Candidates for Sheep Economic Traits.FRONTIERS IN GENETICS,11.
MLA Cheng, Jie,et al."Integrating Genome-Wide CNVs Into QTLs and High Confidence GWAScore Regions Identified Positional Candidates for Sheep Economic Traits".FRONTIERS IN GENETICS 11(2020).
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