Evidence map›Paper›PMID 32424068›Full record

ArticleGenome research2020

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

Lingzhao Fang, Wentao Cai, Shuli Liu, Oriol Canela-Xandri, Yahui Gao, Jicai Jiang, Konrad Rawlik, Bingjie Li, Steven G Schroeder, Benjamin D Rosen and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 1 synthesis or guideline pooled it, 228 citations in OpenAlex.

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  6. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 5 institutions in 3 countries.

Lingzhao Fang *Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.
Wentao Cai *Department of Animal and Avian Sciences, University of Maryland, College Park, Maryland 20742, USA.
Shuli Liu *Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.
Oriol Canela-Xandri *The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian EH25 9RG, United Kingdom.
Yahui GaoAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.
Jicai JiangDepartment of Animal and Avian Sciences, University of Maryland, College Park, Maryland 20742, USA.
Konrad RawlikThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian EH25 9RG, United Kingdom.
Bingjie LiAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.
Steven G SchroederAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.
Benjamin D RosenAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.
Cong-Jun LiAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.
Tad S SonstegardAcceligen, Eagan, Minnesota 55121, USA.ORCID 0000-0002-6446-9276
Leeson J AlexanderFort Keogh Livestock and Range Research Laboratory, Agricultural Research Service, USDA, Miles City, Montana 59301, USA.
Curtis P Van TassellAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.ORCID 0000-0002-8416-2087
Paul M VanRadenAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.ORCID 0000-0002-9123-7278
John B ColeAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.ORCID 0000-0003-1242-4401
Ying YuCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Shengli ZhangCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Albert TenesaThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian EH25 9RG, United Kingdom.
Li MaDepartment of Animal and Avian Sciences, University of Maryland, College Park, Maryland 20742, USA.ORCID 0000-0003-1038-1081
George E LiuAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland 20705, USA.ORCID 0000-0003-0192-6705
Agricultural Research Service · USChina Agricultural University · CNRoslin Institute · GBUniversity of Maryland, College Park · USAACC International · US

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/10002070Biotechnology and Biological Sciences Research Council BBS/E/D/30002275Medical Research Council MR/P015514/1Medical Research Council MR/R025851/1
6 · The paper itself

Abstract

By uniformly analyzing 723 RNA-seq data from 91 tissues and cell types, we built a comprehensive gene atlas and studied tissue specificity of genes in cattle. We demonstrated that tissue-specific genes significantly reflected the tissue-relevant biology, showing distinct promoter methylation and evolution patterns (e.g., brain-specific genes evolve slowest, whereas testis-specific genes evolve fastest). Through integrative analyses of those tissue-specific genes with large-scale genome-wide association studies, we detected relevant tissues/cell types and candidate genes for 45 economically important traits in cattle, including blood/immune system (e.g.,

Indexed as

TranscriptomeAnimalsCattleDNA MethylationFemaleGenesMilkOrgan SpecificityReproductionRNA-Seq

Identifiers

PMID32424068
PMCPMC7263193
OpenAlexW3027341723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.