Systemic lupus erythematosus: genetic variants in Xq28 region

系统性红斑狼疮:Xq28区域的遗传变异

阅读:1

Abstract

OBJECTIVES: Methyl-CpG-binding protein 2 (MECP2) and interleukin-1 receptor-associated kinase (IRAK1) are encoded by adjacent X-linked genes and recognized for their role in regulation of inflammation. The present case control study was conducted to detect the genetic association between MECP2 (rs1734791) and IRAK1 (rs1059703) single nucleotide polymorphisms (SNPs) and susceptibility to systemic lupus erythematosus (SLE), and the possible association of these SNPs and severity of SLE. MATERIAL AND METHODS: Fifty patients with SLE and 100 healthy controls were included in this study. Systemic Lupus International Collaborating Clinics (SLICC) criteria were used to classify SLE patients and the activity of the disease was assessed by SLEDAI score. Disease severity was assessed by the SLICC damage index (SLICC DI). Genetic association of both SNPs with SLE was assessed by Taq Man allelic discrimination technique. RESULTS: Analyses of MECP2 (rs1734791) SNP genotypes revealed that homozygous TT genotype was significantly higher in the control group than SLE patients (p < 0.001, odds ratio [OR] = 0.120). Frequency of allele (A) was significantly higher in SLE patients, (p < 0.001, OR = 0.334). SLE patients had significantly higher frequency of the homozygous AA and heterozygous AG genotype of IRAK1 (rs1059703) SNP in comparison to healthy controls (p = 0.0029, OR = 4.17 and 6.30 respectively). T+G and T+A of rs1734791 and rs1059703 SNPs are protective haplotypes (OR = 0.47 and 0.3, p = 0.0046 and < 0.012 respectively). No significant association between either SNP and disease activity or severity was found. CONCLUSIONS: There is a possible genetic association between both rs1734791 and rs1059703 SNPs and susceptibility to SLE, while no significant association between either SNP and disease activity or severity was detected.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。