ArticleRheumatology international2012
Lack of association between promoter polymorphisms of HLA-G gene and rheumatoid arthritis in Korean population.
Article in Rheumatology international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 16 citations in OpenAlex.
- The balance of the immune system between HLA-G and NK cells in unexplained recurrent spontaneous abortion and polymorphisms analysis.Immunologic research · 2016Article
- Evaluation of HLA-G 14 bp Ins/Del and +3142G>C Polymorphism with Susceptibility and Early Disease Activity in Rheumatoid Arthritis.Advances in medicine · 2016Article
- HLA-G Molecules in Autoimmune Diseases and Infections.Frontiers in immunology · 2014Review
- Balancing immunity and tolerance: genetic footprint of natural selection in the transcriptional regulatory region of HLA-G.Genes and immunityArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to determine whether the HLA-G gene was associated with susceptibility to rheumatoid arthritis (RA). Major histocompatibility complex, class I, G (HLA-G) is involved in immunoregulatory processes and particularly in pathogenesis of inflammatory disorders. To investigate possible association between HLA-G and RA, 296 RA patients and 468 healthy controls were enrolled in this study. Two-promoter single-nucleotide polymorphisms (SNPs) (rs1736936, -1202T/C and rs2735022, -586C/T) in HLA-G gene were analyzed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). For analysis of data, Helixtree software, SNPAnalyzer, SNPStats, and Haploview version 4.2 were used. Multiple logistic regression models (codominant, dominant, and recessive) were performed for odds ratio (OR), 95% confidence interval (CI), and P value. There were no significant differences in distributions of genotypes and haplotypes between RA patients and control subjects. In clinical features of RA, we found differences between C-reactive protein levels (≥0.5 or <0.5 mg/dL) and two-promoter SNPs. Rs1736936 was significant in codominant (P = 0.028, OR = 0.66, 95% CI = 0.45-0.96) and dominant (P = 0.046, OR = 0.58, 95% CI = 0.34-0.99) models. Also, rs2735022 was significant in codominant (P = 0.038, OR = 0.67, 95% CI = 0.46-0.98) and dominant (P = 0.03, OR = 0.55, 95% CI = 0.33-0.94) models. However, these significant associations disappear after Bonferroni correction. Our results suggest that HLA-G promoter polymorphisms may be not associated with the development of RA in Korean population.
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