Evidence map›Paper›PMID 35627313›Full record

ArticleGenes2022

Major Histocompatibility Complex (MHC) Diversity of the Reintroduction Populations of Endangered Przewalski's Horse.

Yongqing Tang, Gang Liu, Shasha Zhao, Kai Li, Dong Zhang, Shuqiang Liu, Defu Hu

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

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. The genome of Przewalski's horse (bioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. A Satellite-Free Centromere inInternational journal of molecular sciences · 2023
    Article
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

7 authors at 2 institutions in 1 country.

Yongqing TangCollege of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100085, China.ORCID 0000-0002-0912-5075
Gang LiuInstitute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing 100091, China.ORCID 0000-0002-3614-0561
Shasha ZhaoCollege of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100085, China.
Kai LiCollege of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100085, China.
Dong ZhangCollege of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100085, China.ORCID 0000-0001-6427-7867
Shuqiang LiuCollege of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100085, China.
Defu HuCollege of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100085, China.
Beijing Forestry University · CNInstitute of Wetland Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major histocompatibility complex (MHC) genes are the most polymorphic in vertebrates and the high variability in many MHC genes is thought to play a crucial role in pathogen recognition. The MHC class II locus DQA polymorphism was analyzed in the endangered Przewalski's horse,

Indexed as

Histocompatibility Antigens Class IIMajor Histocompatibility ComplexAllelesAnimalsHorsesMammalsPolymorphism, Single-Stranded ConformationalHistocompatibility Antigens Class IIDQA genesgenetic diversitymajor histocompatibility complex (MHC)Przewalski’s horsereintroductionsingle strand conformation polymorphism (SSCP)

Identifiers

PMID35627313
PMCPMC9140943
OpenAlexW4281293172

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.