Association of PTPN22 (rs2476601) and STAT4 (rs7574865) polymorphisms with Rheumatoid Arthritis in the Western Algerian population
Authors
Mostefa FODIL; Ahmed BENZAOUI; Faouzia ZEMANI-FODIL; Meriem ABERKANE; Wefa BOUGHRARA; Nadhira SAIDI-MEHTAR; Elisabeth PETIT-TEIXEIRA; Abdallah BOUDJEMA;
Aim: The aim of the present study was to replicate the association of five risk gene polymorphisms (PTPN22-rs2476601, STAT4-rs7574865, 6q23-rs6927172, IRF5-rs2004640 and TRAF1/C5-rs10818488) with RA in a specific population of the Western Algeria.
Material and methods: The study group comprised 110 patients with RA and 197 ethnically matched healthy control subjects. All polymorphisms were genotyped using predesigned TaqMan® assays. Allele and genotype frequencies in patients and control subjects were compared by chi-square test and odds ratios with 95% confidence intervals. Correction for multiple testing was carried out using the Bonferroni adjustment.
Results: Statistically significant associations with RA were detected. The strongest signal was obtained for PTPN22-rs2476601 with an allelic Pvalue 3.32 x 10-11 (OR = 9.83, 95% CI [4.28 – 22.56]). A second significant association was obtained with STAT4-rs7574865 (allelic Pvalue = 4 x 10-3; OR = 1.75, 95% CI [1.16 – 2.63]). The third SNP, 6q23-rs6927172, showed a significant result of association with RA, but missed our criteria for significance at allelic level after Bonferroni’s correction (allelic Pvalue = 0.027; OR = 0.64, 95% CI [0.42 – 0.97]). Finally, IRF5-rs2004640 and TRAF1/C5-rs10818488 showed a significant association only at genotypic level (Pvalues: 3 x 10-4 and 2.9 x 10-3 respectively) but did not reach statistical significance when comparing allele frequencies (Pvalues: 0.96 and 0.21 respectively).
Conclusions: From this initial study, we can conclude that PTPN22-rs2476601 and STAT4-rs7574865 polymorphisms are clearly associated with the risk of RA in the Western Algerian population.
Mostefa FODIL
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Ahmed BENZAOUI
CHUO (Oran), Algeria
Faouzia ZEMANI-FODIL
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Meriem ABERKANE
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Wefa BOUGHRARA
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Nadhira SAIDI-MEHTAR
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Elisabeth PETIT-TEIXEIRA
Evry-Val d’Essonne University, Evry-Genopole, France
Abdallah BOUDJEMA
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Ahmed BENZAOUI
CHUO (Oran), Algeria
Faouzia ZEMANI-FODIL
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Meriem ABERKANE
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Wefa BOUGHRARA
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Nadhira SAIDI-MEHTAR
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria
Elisabeth PETIT-TEIXEIRA
Evry-Val d’Essonne University, Evry-Genopole, France
Abdallah BOUDJEMA
Université des Sciences et de la Technologie d’Oran Mohamed Boudiaf (USTO-MB), Algeria