Fc receptor-like 1, 3, and 6 variants are associated with rheumatoid arthritis risk in the Chinese Han population

Background: Rheumatoid arthritis (RA) is the most common autoimmune system diseases in our world. More studies in recent years have shown that FCRL gene polymorphisms is closely related to autoimmune diseases. It is suggested that genetic factors play a crucial role in the pathogenesis of this disea...

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Bibliographic Details
Main Authors: Bai, M. (Author), He, C. (Author), He, X. (Author), He, Y. (Author), Jin, T. (Author), Li, D. (Author), Peng, L. (Author), Rong, H. (Author), Wang, L. (Author), Xing, S. (Author), Yang, Y. (Author), Yuan, D. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
RA
Online Access:View Fulltext in Publisher
LEADER 03806nam a2200649Ia 4500
001 10.1186-s41021-021-00213-2
008 220427s2021 CNT 000 0 und d
020 |a 18807046 (ISSN) 
245 1 0 |a Fc receptor-like 1, 3, and 6 variants are associated with rheumatoid arthritis risk in the Chinese Han population 
260 0 |b BioMed Central Ltd  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s41021-021-00213-2 
520 3 |a Background: Rheumatoid arthritis (RA) is the most common autoimmune system diseases in our world. More studies in recent years have shown that FCRL gene polymorphisms is closely related to autoimmune diseases. It is suggested that genetic factors play a crucial role in the pathogenesis of this disease. In this study, we aimed to investigate the relationship between FCRL1 rs2050568, FCRL3 rs2317230 and FCRL6 rs58240276 polymorphisms and RA risk in the Chinese Han population. 506 with RA patients and 509 healthy controls were recruited in this study, and the single nucleotide polymorphisms (SNPs) was successfully genotyped using the Agena MassARRAY platform. Odds ratios (ORs) and 95% confidence intervals (95% CIs) after adjusting for age and gender were conducted to assess these SNPs polymorphisms and RA risk. The multifactor dimensionality reduction (MDR) method was conducted to analyze SNP-SNP interaction. Results: Our results revealed that there no significant association was observed between the allele and genotype frequencies among these SNPs and RA risk (all p > 0.05). Straified analysis by age and gender, the results confirmed that FCRL1 rs2050568 T/T genotype enhanced the risk of RA in females (p = 0.014). The G/T - T/T genotype of FCRL3 rs2317230 was correlated with a decreased RA risk in males (p = 0.021). We also observed that the C/T-T/T genotype of FCRL6 rs58240276 was increased the risk of RA in the group at age > 54 years (p = 0.016). In addition, FCRL1 rs2050568-TT, FCRL6 rs58240276-TT and FCRL1 rs2050568-TT, FCRL3 rs2317230-TT, FCRL6 rs58240276-TT are the best models for multi-site MDR analysis (p < 0.05), and the two best models mentioned above and classes RA have the most significant correlation. Conclusions: Our study demonstrated that FCRL1 rs2050568, FCRL3 rs2317230, and FCRL6 rs58240276 polymorphisms were correlated with RA susceptibility in the Chinese Han population. © 2021, The Author(s). 
650 0 4 |a adult 
650 0 4 |a Article 
650 0 4 |a C reactive protein 
650 0 4 |a case control study 
650 0 4 |a controlled study 
650 0 4 |a cross validation 
650 0 4 |a cyclic citrullinated peptide antibody 
650 0 4 |a DNA extraction 
650 0 4 |a erythrocyte sedimentation rate 
650 0 4 |a Fc receptor 
650 0 4 |a Fc receptor like 1 
650 0 4 |a Fc receptor like 3 
650 0 4 |a Fc receptor like 6 
650 0 4 |a FCRL1 
650 0 4 |a FCRL3 
650 0 4 |a FCRL6 
650 0 4 |a female 
650 0 4 |a gene frequency 
650 0 4 |a genotype 
650 0 4 |a Han Chinese 
650 0 4 |a human 
650 0 4 |a major clinical study 
650 0 4 |a male 
650 0 4 |a middle aged 
650 0 4 |a multifactor dimensionality reduction 
650 0 4 |a pathogenesis 
650 0 4 |a Polymorphisms 
650 0 4 |a RA 
650 0 4 |a rheumatoid arthritis 
650 0 4 |a rheumatoid factor 
650 0 4 |a single nucleotide polymorphism 
650 0 4 |a unclassified drug 
700 1 |a Bai, M.  |e author 
700 1 |a He, C.  |e author 
700 1 |a He, X.  |e author 
700 1 |a He, Y.  |e author 
700 1 |a Jin, T.  |e author 
700 1 |a Li, D.  |e author 
700 1 |a Peng, L.  |e author 
700 1 |a Rong, H.  |e author 
700 1 |a Wang, L.  |e author 
700 1 |a Xing, S.  |e author 
700 1 |a Yang, Y.  |e author 
700 1 |a Yuan, D.  |e author 
773 |t Genes and Environment