作者
Shuli Liu,Yahui Gao,Oriol Canela‐Xandri,Sheng Wang,Ying Yu,Wentao Cai,Bingjie Li,Ruidong Xiang,Amanda J. Chamberlain,Erola Pairo‐Castineira,Kenton D’Mellow,Konrad Rawlik,Charley Xia,Yuelin Yao,Pau Navarro,Dominique Rocha,Xiujin Li,Ze Yan,Congjun Li,Benjamin D. Rosen,Curtis P. Van Tassell,P.M. VanRaden,Shengli Zhang,Li Ma,John B. Cole,George E. Liu,Albert Tenesa,Lingzhao Fang
摘要
Abstract Characterization of genetic regulatory variants acting on the transcriptome of livestock is essential for interpreting the molecular mechanisms underlying traits of economic value and for increasing the rate of genetic gain through artificial selection. Here, we build a cattle Genotype-Tissue Expression atlas (cattle GTEx, http://cgtex.roslin.ed.ac.uk/ ) as part of the pilot phase of Farm animal GTEx (FarmGTEx) project for the research community based on publicly available 11,642 RNA-Seq datasets. We describe the landscape of the transcriptome across over 100 tissues and report hundreds of thousands of genetic associations with gene expression and alternative splicing for 24 major tissues. We evaluate the tissue-sharing patterns of these genetic regulatory effects, and functionally annotate them using multi-omics data. Finally, we link gene expression in different tissues to 43 economically important traits using both transcriptome-wide association study (TWAS) and colocalization analyses to decipher the molecular regulatory mechanisms underpinning such agronomic traits in cattle.