Evidence map›Paper›PMID 36458261›Full record

ArticleiScience2022

Comparative immune-relevant transcriptome reveals the evolutionary basis of complex traits.

Wenjing Yang, Jian Yu, Yuelin Yao, Siqian Chen, Bingru Zhao, Shuli Liu, Lei Zhou, Lingzhao Fang, Jianfeng Liu

Open access · goldAbstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 4 institutions in 3 countries.

Wenjing YangCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Jian YuCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Yuelin YaoMRC Human Genetics Unit at the Institute of Genetics and Cancer, Edinburgh EH4 2XU, UK.
Siqian ChenCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Bingru ZhaoCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Shuli LiuSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China.
Lei ZhouCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Lingzhao FangMRC Human Genetics Unit at the Institute of Genetics and Cancer, Edinburgh EH4 2XU, UK.
Jianfeng LiuCollege of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
China Agricultural University · CNUniversity of Edinburgh · GBAarhus University · DKWestlake University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparing transcriptome can help us reveal the genetic and evolutionary architecture underlying complex phenotypes within and between species. Here, by analyzing 386 publicly available RNA sequencing samples using a uniform bioinformatics pipeline, we systematically compared expression profiles of 10 immune-relevant tissues across humans, mice, pigs, cattle, sheep, and chickens. In general, we demonstrated that gene expression of orthologous genes was conserved within tissues across species. By integrating our findings with results of genome-wide association studies (GWAS) from 17 health-relevant traits in humans and 16,539 health-relevant quantitative trait loci (QTLs) in animals, we found that transcriptionally conserved genes were significantly enriched for more heritability of complex traits, compared to species-specific genes. In conclusion, our results advanced the knowledge of the transcriptome evolution of immune tissues and demonstrated that multi-species transcriptome comparison is highly informative for understanding the genetics of complex traits/disease.

Indexed as

bioinformaticsBiological sciencesphylogeneticstranscriptomics

Identifiers

PMID36458261
PMCPMC9706707
OpenAlexW4309014741

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.