Wu Xiaohui, Li Yirong, Chen Qingguo, Chen Fenghua, Cai Pengcheng, Wang Lin, Hu Lihua
Department of Clinical Laboratory, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
J Asthma. 2010 Apr;47(3):238-44. doi: 10.3109/02770900903509099.
Asthma is a common polygenic disease, caused by complex interactions between multiple genes and environmental factors. Study of the gene-gene interactions would contribute to a new insight into the pathogenesis and therapeutics of asthma.
To evaluate the single and combined associations of eight single-nucleotide polymorphisms loci in five candidate genes with the development of asthma in Chinese children.
We examined eight single-nucleotide polymorphisms (SNPs) in five key asthma susceptibility genes and performed single SNP association study, haplotype analysis, and gene-gene interactions analysis in 479 Chinese children, including 252 asthmatic subjects and 227 healthy controls. Genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis. Haplotype analysis was detected by SHEsis software. Gene-gene interactions were tested using the multifactor dimensionality reduction (MDR) method.
There were significant differences of interleukin (IL)-13 R130Q and IL-13 C1923T in genotype and allele frequency distributions between the asthmatic group and control group. Furthermore, the A allele of IL-13 R130Q and the T allele of IL-13 C1923T were significantly associated with increased risk of asthma (odds ratio [OR] = 1.59, 95% confidence interval [CI] 1.20-2.09, p = .0010; OR = 1.57, 95% CI 1.19-2.08, p = .0014, respectively). By haplotype analysis, the C-G and T-A haplotypes consisting of IL-13 C1923T and IL-13 R130Q and the G-A and A-A haplotypes consisting of IL-4Ralpha I75V and IL-4Ralpha Q576R were significantly associated with asthma (p < .05). Using MDR, the authors detected significant gene-gene interactions with a best six-locus model among IL-4 -C33T, IL-13 R130Q, IL-4Ralpha I75V, IL-4Ralpha Q576R, STAT6 C2892T, and CD14 -C159T on the risk of asthma (OR = 4.43, 95% CI 1.30-15.04, p < .001, by 1000-fold permutation test).
These data suggest that genetic variants in the IL-13 gene may play an important role in the development of pediatric asthma in Middle China. In addition, the significant gene-gene interactions among IL-4 -C33T, IL-13 R130Q, IL-4Ralpha I75V, IL-4Ralpha Q576R, STAT6 C2892T, and CD14 -C159T may increase an individual's susceptibility to asthma and contribute to the pathogenesis of asthma.
哮喘是一种常见的多基因疾病,由多个基因与环境因素之间的复杂相互作用引起。基因-基因相互作用的研究将有助于对哮喘的发病机制和治疗方法有新的认识。
评估五个候选基因中的八个单核苷酸多态性位点与中国儿童哮喘发生的单一及联合关联。
我们检测了五个关键哮喘易感基因中的八个单核苷酸多态性(SNP),并对479名中国儿童进行了单SNP关联研究、单倍型分析和基因-基因相互作用分析,其中包括252名哮喘患儿和227名健康对照。通过聚合酶链反应-限制性片段长度多态性(PCR-RFLP)分析进行基因分型。使用SHEsis软件进行单倍型分析。采用多因素降维法(MDR)检测基因-基因相互作用。
哮喘组与对照组之间白细胞介素(IL)-13 R130Q和IL-13 C1923T在基因型和等位基因频率分布上存在显著差异。此外,IL-13 R130Q的A等位基因和IL-13 C1923T的T等位基因与哮喘风险增加显著相关(优势比[OR]=1.59,95%置信区间[CI]1.20-2.09,p = 0.0010;OR = 1.57,95%CI 1.19-2.08,p = 0.0014)。通过单倍型分析,由IL-13 C1923T和IL-13 R130Q组成的C-G和T-A单倍型以及由IL-4Rα I75V和IL-4Rα Q576R组成的G-A和A-A单倍型与哮喘显著相关(p < 0.05)。使用MDR,作者在IL-4 -C33T、IL-13 R130Q、IL-4Rα I75V、IL-4Rα Q576R、STAT6 C2892T和CD14 -C159T之间检测到一个最佳的六位点模型与哮喘风险存在显著的基因-基因相互作用(通过1000次置换检验,OR = 4.43,95%CI 1.30-15.04,p < 0.001)。
这些数据表明,IL-13基因中的遗传变异可能在华中地区儿童哮喘的发生中起重要作用。此外,IL-4 -C33T、IL-13 R130Q、IL-4Rα I75V、IL-4Rα Q576R、STAT6 C2892T和CD14 -C159T之间显著的基因-基因相互作用可能会增加个体对哮喘的易感性,并有助于哮喘的发病机制。