Evidence map›Paper›PMID 21492465›Full record

ArticleBMC medical genetics2011

Single nucleotide polymorphisms at the TRAF1/C5 locus are associated with rheumatoid arthritis in a Han Chinese population.

Jing Zhu, Dinging Zhang, Fengxia Wu, Fei He, Xiaoqi Liu, Lijun Wu, Bin Zhou, Jianping Liu, Fang Lu, Jian Liu and 11 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2011. 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
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Associations ofCentral-European journal of immunology · 2019
    Article
  2. Article
  3. RADB: a database of rheumatoid arthritis-related polymorphisms.Database : the journal of biological databases and curation · 2014
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

21 authors at 3 institutions in 1 country.

Jing ZhuDepartment of Rheumatology and Immunology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Dinging Zhang
Fengxia Wu
Fei He
Xiaoqi Liu
Lijun Wu
Bin Zhou
Jianping Liu
Fang Lu
Jian Liu
Ruijun Luo
Wubin Long
Minghui Yang
Shi Ma
Xiaodan Wu
Yi Shi
Tong Wu
Ying Lin
Jiyun Yang
Guohua Yuan
Zhenglin Yang
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CNAffiliated Hospital of North Sichuan Medical College · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic variants in TRAF1C5 and PTPN22 genes have been shown to be significantly associated with arthritis rheumatoid in Caucasian populations. This study investigated the association between single nucleotide polymorphisms (SNPs) in TRAF1/C5 and PTPN22 genes and rheumatoid arthritis (RA) in a Han Chinese population. We genotyped SNPs rs3761847 and rs7021206 at the TRAF1/C5 locus and rs2476601 SNP in the PTPN22 gene in a Han Chinese cohort composed of 576 patients with RA and 689 controls. The concentrations of anti-cyclic citrullinated peptide antibodies (CCP) and rheumatoid factor (RF) were determined for all affected patients. The difference between the cases and the controls was compared using χ2 analysis.

resultsSignificant differences in SNPs rs3761847 and rs7021206 at TRAF1/C5 were observed between the case and control groups in this cohort; the allelic p-value was 0.0018 with an odds ratio of 1.28 for rs3761847 and 0.005 with an odds ratio of 1.27 for rs7021206. This significant association between rs3761847 and RA was independent of the concentrations of anti-CCP and RF. No polymorphism of rs2476601 was observed in this cohort.

conclusionsWe first demonstrated that genetic variants at the TRAF1/C5 locus are significantly associated with RA in Han Chinese, suggesting that TRAF1/C5 may play a role in the development of RA in this population, which expands the pathogenesis role of TRAF1/C5 in a different ethnicity.

Indexed as

Polymorphism, Single NucleotideAgedAllelesAntibodiesArthritis, RheumatoidAsian PeopleChinaCohort StudiesComplement C5FemaleGenetic LociGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedAntibodiesComplement C5cyclic citrullinated peptidePeptides, CyclicProtein Tyrosine Phosphatase, Non-Receptor Type 22PTPN22 protein, humanRheumatoid FactorTNF Receptor-Associated Factor 1

Identifiers

PMID21492465
PMCPMC3094270
OpenAlexW2117884749

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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.