首页> 外文期刊>Journal of immunology research. >Interaction between IL-33 Gene Polymorphisms and Current Smoking with Susceptibility to Systemic Lupus Erythematosus
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Interaction between IL-33 Gene Polymorphisms and Current Smoking with Susceptibility to Systemic Lupus Erythematosus

机译:IL-33基因多态性与系统血管红斑狼疮敏感性的相互作用

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Aims. This study is aimed at exploring the relation between IL-33 single-nucleotide polymorphisms (SNPs) and the risk of systemic lupus erythematosus (SLE). Methods. SNPStats (online software) was used to test the Hardy-Weinberg equilibrium in controls. Generalized multifactor dimensionality reduction (GMDR) was adopted to screen the preferable interaction between IL-33 SNPs and current smoking. Results. Logistic regression analysis based on the fundamental data of age, gender, BMI, current smoking, and alcohol drinking showed that both rs1929992-G and rs1891385-C alleles were correlated with an increasing risk of SLE, the ORs (95% CI) of which were 1.62 (1.21-2.05) and 1.64 (1.22-2.10), respectively. One two-locus model (rs1929992×current smoking) had a testing accuracy of 60.11% (P=0.0010). Through an overall multidimensional model, optimum cross-validation consistency was obtained. The analysis indicated that current smoking status influenced the SLE risk depending on the genotypes at rs1929992. Pairwise LD analysis indicated that haplotype rs1929992G-rs7044343T was statistically related to the elevating risk of SLE (P0.05). Those subjects with the G-T haplotype had a higher SLE risk than those with other haplotypes, after correction with factors, including gender, alcohol drinking, age, BMI, and current smoking. Conclusions. The rs1929992-G and rs1891385-C allele, interaction between the rs1929992 gene and current smoking, and haplotype rs1929992G-rs7044343T were all risk factors of SLE.
机译:目标。本研究旨在探讨IL-33单核苷酸多态性(SNP)与系统性狼疮红斑(SLE)的风险。方法。 SNPSTATS(在线软件)用于测试控制中的Hardy-Weinberg均衡。采用广泛的多因素减少(GMDR)筛选IL-33 SNP和电流吸烟之间的优选相互作用。结果。基于年龄,性别,BMI,目前吸烟和酒精饮酒的基础数据的逻辑回归分析表明,RS1929992-G和RS1891385-C等位基因均与SLE,ORS(95%CI)的风险增加相关分别为1.62(1.21-2.05)和1.64(1.22-2.10)。一个双轨模型(RS1929992×电流吸烟)的测试精度为60.11%(P = 0.0010)。通过整体多维模型,获得了最佳的交叉验证一致性。分析表明,当前吸烟状态根据RS1929992的基因型影响了SLE风险。成对LD分析表明,单倍型RS1929992G-RS7044343T与SLE的升高风险有统计学相关(P <0.05)。那些具有G-T单倍型的受试者的风险高于其他单倍型,在纠正因素之后,包括性别,酒精饮用,年龄,BMI和当前吸烟。结论。 RS1929992-G和RS1891385-C等位基因,RS1929992基因和当前吸烟之间的相互作用,以及单倍型RS1929992G-RS7044343T都是SLE的危险因素。

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