Evidence map›Paper›PMID 35996157›Full record

ArticleGenome biology2022

Comparative transcriptome in large-scale human and cattle populations.

Yuelin Yao, Shuli Liu, Charley Xia, Yahui Gao, Zhangyuan Pan, Oriol Canela-Xandri, Ava Khamseh, Konrad Rawlik, Sheng Wang, Bingjie Li and 16 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. A Cross-Species and Sex-Specific Meta-Analysis of Transcriptomic Studies of Pulmonary Hypertension.American journal of respiratory cell and molecular biology · 2025
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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

26 authors at 10 institutions in 4 countries.

Yuelin Yao *MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK.
Shuli Liu *Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland, 20705, USA.
Charley Xia *The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, EH25 9RG, UK.
Yahui Gao *Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland, 20705, USA.
Zhangyuan Pan *Department of Animal Science, University of California, Davis, CA, 95616, USA.
Oriol Canela-XandriMRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK.
Ava KhamsehMRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK.
Konrad RawlikThe Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, EH25 9RG, UK.
Sheng WangState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.
Bingjie LiScotland's Rural College (SRUC), Roslin Institute Building, Midlothian, EH25 9RG, UK.
Yi ZhangCollege of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Erola Pairo-CastineiraMRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK.
Kenton D'MellowMRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK.
Xiujin LiGuangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, Guangdong, China.
Ze YanCollege of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Cong-Jun LiAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland, 20705, USA.
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.
Li MaDepartment of Animal and Avian Sciences, University of Maryland, College Park, MA, 20742, USA.
John B ColeAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland, 20705, USA.
Pablo J RossDepartment of Animal Science, University of California, Davis, CA, 95616, USA.
Huaijun ZhouDepartment of Animal Science, University of California, Davis, CA, 95616, USA.
Chris HaleyMRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK.
George E LiuAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, Maryland, 20705, USA. George.Liu@usda.gov.
Lingzhao FangMRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK. lingzhao.fang@qgg.au.dk.ORCID 0000-0003-1103-3679
Albert TenesaMRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, EH4 2XU, Edinburgh, UK. Albert.Tenesa@ed.ac.uk.
Roslin Institute · GBAgricultural Research Service · USChina Agricultural University · CNInstitute of Genetics and Cancer · GBUniversity of California, Davis · USAarhus University · DKChinese Academy of Agricultural Sciences · CNKunming Institute of Zoology · CNUniversity of Maryland, College Park · USZhongkai University of Agriculture and Engineering · CN

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/10002070Biotechnology and Biological Sciences Research Council BBS/E/D/30002275Medical Research Council MC_UU_00007/10Medical Research Council MC_UU_00009/2Medical Research Council MR/P015514/1Medical Research Council MR/R025851/1
6 · The paper itself

Abstract

backgroundCross-species comparison of transcriptomes is important for elucidating evolutionary molecular mechanisms underpinning phenotypic variation between and within species, yet to date it has been essentially limited to model organisms with relatively small sample sizes.

resultsHere, we systematically analyze and compare 10,830 and 4866 publicly available RNA-seq samples in humans and cattle, respectively, representing 20 common tissues. Focusing on 17,315 orthologous genes, we demonstrate that mean/median gene expression, inter-individual variation of expression, expression quantitative trait loci, and gene co-expression networks are generally conserved between humans and cattle. By examining large-scale genome-wide association studies for 46 human traits (average n = 327,973) and 45 cattle traits (average n = 24,635), we reveal that the heritability of complex traits in both species is significantly more enriched in transcriptionally conserved than diverged genes across tissues.

conclusionsIn summary, our study provides a comprehensive comparison of transcriptomes between humans and cattle, which might help decipher the genetic and evolutionary basis of complex traits in both species.

Indexed as

Genome-Wide Association StudyTranscriptomeAnimalsCattleHumansMultifactorial InheritancePhenotypeQuantitative Trait LociComparative transcriptomeGene co-expressionHeritability enrichmentInter-individual variabilityRNA-seq

Identifiers

PMID35996157
PMCPMC9394047
OpenAlexW4292590455

What OpenQuestion holds

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LicenceCC BY
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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.