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候选基因多态性之间的基因-基因相互作用与韩国哮喘儿童的总IgE水平相关。

Gene-gene interactions between candidate gene polymorphisms are associated with total IgE levels in Korean children with asthma.

作者信息

Choi Won-Ah, Kang Mi-Jin, Kim Young-Joon, Seo Ju-Hee, Kim Hyung-Young, Kwon Ji-Won, Yu Jinho, Park Seoung-Ju, Lee Yong-Chul, Hong Soo-Jong

机构信息

Asan Institute for Life Sciences, Seoul, Korea.

出版信息

J Asthma. 2012 Apr;49(3):243-52. doi: 10.3109/02770903.2012.660294. Epub 2012 Feb 29.

Abstract

OBJECTIVE

To investigate associations between total serum immunoglobulin E (IgE) levels and single nucleotide polymorphisms (SNPs) from eight candidate genes (IL-4 rs2243250, IL-4Rα rs1805010, IL-13 rs20541, IL-13Rα1 rs2495636, CD14 rs2569190, tumor necrosis factor-alpha (TNF-α) rs1800629, cytotoxic T lymphocyte-associated antigen (CTLA4) rs231775, FCER1B rs1441585) in children with asthma and to evaluate gene-gene interactions.

METHODS

A total of 669 Korean children with asthma (n = 544 atopic n = 125 non-atopic) were included. Asthma phenotypes, total serum IgE levels, and methacholine challenge test results were evaluated. SNPs were genotyped using the polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) method. Multi-factor dimensionality reduction (MDR) was used to analyze gene-gene interactions.

RESULTS

The combination of the IL-13, IL-13Rα1, and CTLA4 polymorphisms was selected through MDR analysis of the data pertaining to children with atopic and non-atopic asthma (accuracy = 0.5459, cross validation consistency (CVC) = 10/10). The IL-4Rα, IL-13, IL-13Rα1, CD14, and CTLA4 polymorphisms were selected as the best model of increased total serum IgE levels in non-atopic and atopic asthma (asthma: accuracy = 0.4726, CVC = 10/10; atopic asthma: accuracy = 0.4573, CVC = 10/10). Both the IL-4Rα and the IL-13 polymorphisms were correlated with the IgE level. ANOVA analysis revealed that the combinations of the CTLA4 and IL-13, IL-13 and IL-13Rα1, IL-4Rα and IL-13, and CD14 and IL-13 polymorphisms were all significantly associated with increased total serum IgE levels.

CONCLUSIONS

The best model of increased IgE level included the IL-4Rα, IL-13, IL-13Rα1, CD14, and CTLA4 polymorphisms. Of the various interactions between these polymorphisms, the combinations of the CTLA4 and IL-13 polymorphisms and the IL-13 and IL-13Rα1 polymorphisms showed synergistic effects in terms of increased total serum IgE levels in the present cohort.

摘要

目的

研究哮喘患儿血清总免疫球蛋白E(IgE)水平与8个候选基因(白细胞介素4(IL-4)rs2243250、白细胞介素4受体α(IL-4Rα)rs1805010、白细胞介素13(IL-13)rs20541、白细胞介素13受体α1(IL-13Rα1)rs2495636、CD14 rs2569190、肿瘤坏死因子-α(TNF-α)rs1800629、细胞毒性T淋巴细胞相关抗原(CTLA4)rs231775、高亲和力IgE受体β链(FCER1B)rs1441585)单核苷酸多态性(SNP)之间的关联,并评估基因-基因相互作用。

方法

纳入669例韩国哮喘患儿(特应性哮喘544例,非特应性哮喘125例)。评估哮喘表型、血清总IgE水平及乙酰甲胆碱激发试验结果。采用聚合酶链反应-限制性片段长度多态性(PCR-RFLP)方法对SNP进行基因分型。运用多因素降维法(MDR)分析基因-基因相互作用。

结果

通过对特应性和非特应性哮喘患儿数据的MDR分析,选择了IL-13、IL-13Rα1和CTLA4多态性的组合(准确率=0.5459,交叉验证一致性(CVC)=10/10)。IL-4Rα、IL-13、IL-13Rα1、CD14和CTLA4多态性被选为非特应性和特应性哮喘中血清总IgE水平升高的最佳模型(哮喘:准确率=0.4726,CVC=10/10;特应性哮喘:准确率=0.4573,CVC=10/10)。IL-4Rα和IL-13多态性均与IgE水平相关。方差分析显示,CTLA4与IL-13、IL-13与IL-1所13Rα、IL-4Rα与IL-13以及CD14与IL-13多态性的组合均与血清总IgE水平升高显著相关。

结论

IgE水平升高的最佳模型包括IL-4Rα、IL-13、IL-13Rα1、CD14和CTLA4多态性。在这些多态性之间的各种相互作用中,CTLA4与IL-13多态性的组合以及IL-13与IL-13Rα1多态性的组合在本队列中对血清总IgE水平升高显示出协同作用。

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