Evidence map›Paper›PMID 24826913›Full record

ArticleInflammation2014

Emerging role of SIGIRR rs7396562(T/G) polymorphism in systemic lupus erythematosus in a Chinese population.

Yan Zhu, De-Guang Wang, Xiao-Ke Yang, Sha-Sha Tao, Qing Huang, Hai-Feng Pan, Chen-Chen Feng, Dong-Qing Ye

Abstract read
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In one paragraph

Article in Inflammation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. SIGIRR: An Orphan Receptor Mediating Anti-inflammatory Actions.Expert reviews in molecular medicine · 2025
    Review
  3. Article
  4. Article
  5. Increased ratio of Th17 cells to SIGIRRBiomedical reports · 2018
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
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

8 authors.

Yan ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, People's Republic of China.
De-Guang Wang
Xiao-Ke Yang
Sha-Sha Tao
Qing Huang
Hai-Feng Pan
Chen-Chen Feng
Dong-Qing Ye

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a systemic autoimmune disease, with heterogeneous presentation. The aim of this study was to examine the association of a single-nucleotide polymorphism, rs7396562, of the interferon induced with single immunoglobulin IL-1-related receptor (SIGIRR) gene with SLE in a Chinese population. A total of 741 SLE patients and 731 healthy control subjects were enrolled in the present study. The genotyping of polymorphism (rs7396562) was determined by TaqMan allele discrimination assay on the 7,300 real-time polymerase chain reaction system. The frequency of T allele for rs7396562 in patients was significantly higher than in controls (T versus G, OR=1.318, 95 % confidence interval (CI)=1.139-1.525, P<0.001). Fortunately, some significant difference in genotype distribution was found between cases and controls (P<0.001). We also found some significant evidence for the association of the SIGIRR rs7396562 polymorphism with SLE between dominant and recessive model (TG+TT versus GG, P=0.002; TT versus TG+GG, P=0.002). We also analyzed the association of the SIGIRR rs7396562 T allele with clinical features; luckily, photosensitivity and malar rash had some significant signal with the SNP. In conclusion, our study represents the first report demonstrating an association of the SIGIRR rs7396562 polymorphism with SLE susceptibility in a Chinese population.

Indexed as

Population SurveillanceAdultAsian PeopleCase-Control StudiesFemaleHumansLupus Erythematosus, SystemicMaleMiddle AgedPolymorphism, Single NucleotideReceptors, Interleukin-1Receptors, Interleukin-1SIGIRR protein, human

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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.