Literature DB >> 35953587

A multi-tissue atlas of regulatory variants in cattle.

Shuli Liu1,2,3, Yahui Gao1,4, Oriol Canela-Xandri5, Sheng Wang6, Ying Yu2, Wentao Cai7, Bingjie Li8, Ruidong Xiang9,10, Amanda J Chamberlain10, Erola Pairo-Castineira5,11, Kenton D'Mellow5, Konrad Rawlik11, Charley Xia11, Yuelin Yao5, Pau Navarro5, Dominique Rocha12, Xiujin Li13, Ze Yan2, Congjun Li1, Benjamin D Rosen1, Curtis P Van Tassell1, Paul M Vanraden1, Shengli Zhang2, Li Ma4, John B Cole1, George E Liu14, Albert Tenesa15,16, Lingzhao Fang17,18,19.   

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.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2022        PMID: 35953587     DOI: 10.1038/s41588-022-01153-5

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   41.307


  53 in total

1.  1000 Bull Genomes Project to Map Simple and Complex Genetic Traits in Cattle: Applications and Outcomes.

Authors:  Ben J Hayes; Hans D Daetwyler
Journal:  Annu Rev Anim Biosci       Date:  2019-12-03       Impact factor: 8.923

2.  Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels.

Authors:  Patrick Deelen; Daria V Zhernakova; Mark de Haan; Marijke van der Sijde; Marc Jan Bonder; Juha Karjalainen; K Joeri van der Velde; Kristin M Abbott; Jingyuan Fu; Cisca Wijmenga; Richard J Sinke; Morris A Swertz; Lude Franke
Journal:  Genome Med       Date:  2015-03-27       Impact factor: 11.117

3.  Comprehensive analyses of 723 transcriptomes enhance genetic and biological interpretations for complex traits in cattle.

Authors:  Lingzhao Fang; Wentao Cai; Shuli Liu; Oriol Canela-Xandri; Yahui Gao; Jicai Jiang; Konrad Rawlik; Bingjie Li; Steven G Schroeder; Benjamin D Rosen; Cong-Jun Li; Tad S Sonstegard; Leeson J Alexander; Curtis P Van Tassell; Paul M VanRaden; John B Cole; Ying Yu; Shengli Zhang; Albert Tenesa; Li Ma; George E Liu
Journal:  Genome Res       Date:  2020-05-18       Impact factor: 9.043

4.  Genome variants associated with RNA splicing variations in bovine are extensively shared between tissues.

Authors:  Ruidong Xiang; Ben J Hayes; Christy J Vander Jagt; Iona M MacLeod; Majid Khansefid; Phil J Bowman; Zehu Yuan; Claire P Prowse-Wilkins; Coralie M Reich; Brett A Mason; Josie B Garner; Leah C Marett; Yizhou Chen; Sunduimijid Bolormaa; Hans D Daetwyler; Amanda J Chamberlain; Michael E Goddard
Journal:  BMC Genomics       Date:  2018-07-04       Impact factor: 3.969

5.  Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits.

Authors:  Aline S M Cesar; Luciana C A Regitano; James M Reecy; Mirele D Poleti; Priscila S N Oliveira; Gabriella B de Oliveira; Gabriel C M Moreira; Maurício A Mudadu; Polyana C Tizioto; James E Koltes; Elyn Fritz-Waters; Luke Kramer; Dorian Garrick; Hamid Beiki; Ludwig Geistlinger; Gerson B Mourão; Adhemar Zerlotini; Luiz L Coutinho
Journal:  BMC Genomics       Date:  2018-06-27       Impact factor: 3.969

6.  Building a livestock genetic and genomic information knowledgebase through integrative developments of Animal QTLdb and CorrDB.

Authors:  Zhi-Liang Hu; Carissa A Park; James M Reecy
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

7.  The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019.

Authors:  Annalisa Buniello; Jacqueline A L MacArthur; Maria Cerezo; Laura W Harris; James Hayhurst; Cinzia Malangone; Aoife McMahon; Joannella Morales; Edward Mountjoy; Elliot Sollis; Daniel Suveges; Olga Vrousgou; Patricia L Whetzel; Ridwan Amode; Jose A Guillen; Harpreet S Riat; Stephen J Trevanion; Peggy Hall; Heather Junkins; Paul Flicek; Tony Burdett; Lucia A Hindorff; Fiona Cunningham; Helen Parkinson
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  Sequence-based Association Analysis Reveals an MGST1 eQTL with Pleiotropic Effects on Bovine Milk Composition.

Authors:  Mathew D Littlejohn; Kathryn Tiplady; Tania A Fink; Klaus Lehnert; Thomas Lopdell; Thomas Johnson; Christine Couldrey; Mike Keehan; Richard G Sherlock; Chad Harland; Andrew Scott; Russell G Snell; Stephen R Davis; Richard J Spelman
Journal:  Sci Rep       Date:  2016-05-05       Impact factor: 4.379

9.  Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits.

Authors:  Ruidong Xiang; Irene van den Berg; Iona M MacLeod; Benjamin J Hayes; Claire P Prowse-Wilkins; Min Wang; Sunduimijid Bolormaa; Zhiqian Liu; Simone J Rochfort; Coralie M Reich; Brett A Mason; Christy J Vander Jagt; Hans D Daetwyler; Mogens S Lund; Amanda J Chamberlain; Michael E Goddard
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-09       Impact factor: 11.205

10.  Putative Causal Variants Are Enriched in Annotated Functional Regions From Six Bovine Tissues.

Authors:  Claire P Prowse-Wilkins; Jianghui Wang; Ruidong Xiang; Josie B Garner; Michael E Goddard; Amanda J Chamberlain
Journal:  Front Genet       Date:  2021-06-23       Impact factor: 4.599

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  1 in total

1.  Comparative transcriptome in large-scale human and cattle populations.

Authors:  Yuelin Yao; Shuli Liu; Charley Xia; Yahui Gao; Zhangyuan Pan; Oriol Canela-Xandri; Ava Khamseh; Konrad Rawlik; Sheng Wang; Bingjie Li; Yi Zhang; Erola Pairo-Castineira; Kenton D'Mellow; Xiujin Li; Ze Yan; Cong-Jun Li; Ying Yu; Shengli Zhang; Li Ma; John B Cole; Pablo J Ross; Huaijun Zhou; Chris Haley; George E Liu; Lingzhao Fang; Albert Tenesa
Journal:  Genome Biol       Date:  2022-08-22       Impact factor: 17.906

  1 in total

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