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.
Keywords: Asthma Predictive Index; Atopy; Gene model; Single-nucleotide polymorphism.