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中国汉族儿童中包含 IL13、IL4、FCER1B 和 ADRB2 的 4 个基因座基因模型与哮喘预测指数和特应性的关联。

Association of a 4-Locus Gene Model Including IL13, IL4, FCER1B, and ADRB2 With the Asthma Predictive Index and Atopy in Chinese Han Children.

机构信息

Department of Pediatric Pulmonology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Department of Pediatrics, Shanghai EverBetter Pubin Children's Hospital, Shanghai, China.

出版信息

J Investig Allergol Clin Immunol. 2018 Dec;28(6):407-134. doi: 10.18176/jiaci.0272. Epub 2018 Jun 13.

Abstract

BACKGROUND AND OBJECTIVE

Asthma is a complex and heterogeneous disease. We found gene-gene interactions between IL13 rs20541, IL4 rs2243250, ADRB2 rs1042713, and FCER1B rs569108 in asthmatic Chinese Han children. This 4-locus set constituted an optimal statistical interaction model. We examined associations between the 4-gene model (IL13, IL4, FCER1B, and ADRB2) and the Asthma Predictive Index (API) and atopy in Chinese Han children.

METHODS

Four single-nucleotide polymorphisms in the 4 genes were genotyped in 385 preschool children with wheezing symptoms using matrix-assisted laser desorption ionization time-of-flight mass spectrometry. The t test and x2 tests were used for the analysis.

RESULTS

Significant correlations were found between the 4-locus gene model and a stringent and loose API (both P<.0001). Additionally, a high-risk asthma genotype was a risk factor for a positive API (stringent API, OR=4.08; loose API, OR=2.36). We also found a statistically significant association between the 4-locus gene model and atopy (P<.01, OR=2.09).

CONCLUSIONS

Our results indicated that the 4-locus gene model consisting of L13 rs20541, IL4 rs2243250, ADRB2 rs1042713, and FCER1B rs569108 was associated with the API and atopy. These findings provide evidence that this gene model can be used to determine a high risk of developing asthma and atopy in Chinese Han children.

摘要

背景与目的

哮喘是一种复杂且异质性的疾病。我们发现中国汉族哮喘儿童中 IL13 rs20541、IL4 rs2243250、ADRB2 rs1042713 和 FCER1B rs569108 之间存在基因-基因相互作用。该四基因座集构成了最优的统计学相互作用模型。我们研究了四基因模型(IL13、IL4、FCER1B 和 ADRB2)与哮喘预测指数(API)和特应性之间的关系。

方法

采用基质辅助激光解吸电离飞行时间质谱法对 385 名有喘息症状的学龄前儿童的这 4 个基因中的 4 个单核苷酸多态性进行基因分型。采用 t 检验和卡方检验进行分析。

结果

四基因座基因模型与严格和宽松的 API 均存在显著相关性(均 P<.0001)。此外,高风险哮喘基因型是 API 阳性的危险因素(严格 API,OR=4.08;宽松 API,OR=2.36)。我们还发现四基因座基因模型与特应性之间存在统计学显著关联(P<.01,OR=2.09)。

结论

我们的结果表明,由 L13 rs20541、IL4 rs2243250、ADRB2 rs1042713 和 FCER1B rs569108 组成的四基因座基因模型与 API 和特应性相关。这些发现提供了证据表明,该基因模型可用于确定中国汉族儿童发生哮喘和特应性的高风险。

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