J Investig Allergol Clin Immunol. 2013;23(7):487-94.
Asthma is one of the most common chronic inflammatory diseases in developed countries. Susceptibility to asthma is associated with interaction between multiple genes and environmental factors. Several cytokines play a major role in the pathophysiology of the disease.
We analyzed the distribution of cytokine gene polymorphisms in a group of patients with asthma and a control group in order to determine the effect of these variants, or their combinations, on the development of clinical phenotypes.
We genotyped 22 single-nucleotide polymorphisms (SNPs) corresponding to 13 cytokine genes (IFNG, IL1A, IL1B, IL1R1, IL1RN, IL2, IL4, IL4R, IL6, IL10, IL12B, TGFB1, and TNFA) in 376 individuals (219 asthmatic patients and 157 controls). Genetic association was evaluated using genotype and allele models for different asthma phenotypes. Gene-gene interactions were explored using multifactor dimensionality reduction.
Genotype AC of IL12B-1188 was associated with the presence of asthma. A significant association was detected between 2 SNPs analyzed in TNFA (-308 and -238) and atopic asthma and severe-persistent asthma. The IL1B TT haplotype (3962T and -511T) was also associated with atopy and moderate-persistent asthma.
Our data show that the presence of SNPs in IL12B, TNFA, and IL1B was significantly associated with asthma, atopy, and severity of asthma.We also highlight the importance of genetic context, haplotype, and gene-gene interaction analysis in genetic association studies.
哮喘是发达国家最常见的慢性炎症性疾病之一。哮喘易感性与多个基因和环境因素的相互作用有关。几种细胞因子在疾病的病理生理学中起主要作用。
我们分析了一组哮喘患者和对照组细胞因子基因多态性的分布,以确定这些变体或其组合对临床表型发展的影响。
我们对 376 个人(219 名哮喘患者和 157 名对照)的 13 个细胞因子基因(IFNG、IL1A、IL1B、IL1R1、IL1RN、IL2、IL4、IL4R、IL6、IL10、IL12B、TGFB1 和 TNFA)的 22 个单核苷酸多态性(SNP)进行了基因分型。使用基因型和等位基因模型评估不同哮喘表型的遗传关联。使用多因子降维法探讨基因-基因相互作用。
IL12B-1188 的基因型 AC 与哮喘的存在有关。在 TNFA(-308 和-238)和特应性哮喘和重度持续哮喘分析的 2 个 SNP 中检测到显著相关性。IL1B TT 单倍型(3962T 和-511T)也与特应性和中度持续哮喘有关。
我们的数据表明,IL12B、TNFA 和 IL1B 中的 SNP 存在与哮喘、特应性和哮喘严重程度显著相关。我们还强调了遗传关联研究中遗传背景、单倍型和基因-基因相互作用分析的重要性。