SNP in PTPN22 , PADI4, and STAT4 but Not TRAF1 and CD40 Increase the Risk of Rheumatoid Arthritis in Polish Population.
Tomasz BudlewskiJoanna SarnikGrzegorz GalitaGrzegorz DraganOlga BrzezińskaMarta PopławskaTomasz PoplawskiJoanna MakowskaPublished in: International journal of molecular sciences (2023)
Single nucleotide polymorphisms in non- HLA genes are involved in the development of rheumatoid arthritis (RA). SNPS in genes: PADI4 ( rs2240340 ), STAT4 ( rs7574865 ), CD40 ( rs4810485 ), PTPN22 ( rs2476601 ), and TRAF1 ( rs3761847 ) have been described as risk factors for the development of autoimmune diseases, including RA. This study aimed to assess the prevalence of polymorphisms of these genes in the Polish population of patients with rheumatoid arthritis as compared to healthy controls. 324 subjects were included in the study: 153 healthy subjects and 181 patients from the Department of Rheumatology, Medical University of Lodz who fulfilled the criteria of rheumatoid arthritis diagnosis. Genotypes were determined by Taqman SNP Genotyping Assay. rs2476601 (G/A, OR = 2.16, CI = 1.27-3.66; A/A, OR = 10.35, CI = 1.27-84.21), rs2240340 (C/T, OR = 4.35, CI = 2.55-7.42; T/T, OR = 2.80, CI = 1.43-4.10) and rs7574865 (G/T, OR = 1.97, CI = 1.21-3.21; T/T, OR = 3.33, CI = 1.01-11.02) were associated with RA in the Polish population. Rs4810485 was also associated with RA, however after Bonferroni's correction was statistically insignificant. We also found an association between minor alleles of rs2476601 , rs2240340, and rs7574865 and RA (OR = 2.32, CI = 1.47-3.66; OR = 2.335, CI = 1.64-3.31; OR = 1.88, CI = 1.27-2.79, respectively). Multilocus analysis revealed an association between CGGGT and rare (below 0.02 frequency) haplotypes (OR = 12.28, CI = 2.65-56.91; OR = 3.23, CI = 1.63-6.39). In the Polish population, polymorphisms of the PADI4 , PTPN22, and STAT4 genes have been detected, which are also known risk factors for RA in various other populations.
Keyphrases
- rheumatoid arthritis
- genome wide
- disease activity
- ankylosing spondylitis
- interstitial lung disease
- healthcare
- cell proliferation
- gene expression
- systemic lupus erythematosus
- chronic kidney disease
- end stage renal disease
- idiopathic pulmonary fibrosis
- systemic sclerosis
- genome wide analysis
- newly diagnosed
- high density