A multi-tissue atlas of regulatory variants in cattle

Shuli Liu(Agricultural Research Service), Yahui Gao(Agricultural Research Service), Oriol Canela‐Xandri(Institute of Genetics and Cancer), Sheng Wang(Kunming Institute of Zoology), Ying Yu(China Agricultural University), Wentao Cai(Chinese Academy of Agricultural Sciences), Bingjie Li(Roslin Institute), Ruidong Xiang(The University of Melbourne), Amanda J. Chamberlain(Agriculture Victoria), Erola Pairo‐Castineira(Roslin Institute), Kenton D’Mellow(Institute of Genetics and Cancer), Konrad Rawlik(Roslin Institute), Charley Xia(Roslin Institute), Yuelin Yao(Institute of Genetics and Cancer), Pau Navarro(Institute of Genetics and Cancer), Dominique Rocha(AgroParisTech), Xiujin Li(Zhongkai University of Agriculture and Engineering), Ze Yan(China Agricultural University), Congjun Li(Agricultural Research Service), Benjamin D. Rosen(Agricultural Research Service), Curtis P. Van Tassell(Agricultural Research Service), P.M. VanRaden(Agricultural Research Service), Shengli Zhang(China Agricultural University), Li Ma(University of Maryland, College Park), John B. Cole(Agricultural Research Service), George E. Liu(Agricultural Research Service), Albert Tenesa(Roslin Institute), Lingzhao Fang(Aarhus University)
Nature Genetics
August 11, 2022
Cited by 329Open Access
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Abstract

Characterization of genetic regulatory variants acting on livestock gene expression 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 (CattleGTEx) as part of the pilot phase of the Farm animal GTEx (FarmGTEx) project for the research community based on 7,180 publicly available RNA-sequencing (RNA-seq) samples. We describe the transcriptomic landscape of more than 100 tissues/cell types and report hundreds of thousands of genetic associations with gene expression and alternative splicing for 23 distinct tissues. We evaluate the tissue-sharing patterns of these genetic regulatory effects, and functionally annotate them using multiomics data. Finally, we link gene expression in different tissues to 43 economically important traits using both transcriptome-wide association and colocalization analyses to decipher the molecular regulatory mechanisms underpinning such agronomic traits in cattle. The cattle Genotype–Tissue Expression atlas of expression and splicing QTLs is generated from 7,180 uniformly re-processed RNA-seq samples. Integration with GWAS identifies candidate genes and variants associated with economically important traits.


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