Return to content in this issue


Association of a four-locus gene model including IL13, IL4, FCER1B, and ADRB2 with the Asthma Predictive Index and atopy in Chinese Han children

Bai S1,* , Hua L1,*, Wang X2, Liu Q1, Bao Y1

1Department of Pediatric Pulmonology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
2Department of Pediatrics, Shanghai EverBetter Pubin Children’s Hospital, Shanghai, China.
*Shasha Bai and Li Hua contributed equally to this work.

J Investig Allergol Clin Immunol 2018; Vol. 28(6)
doi: 10.18176/jiaci.0272

Background: Asthma is a complex and heterogeneous disease. We found that gene-gene interactions among IL13 rs20541, IL4 rs2243250, ADRB2 rs1042713, and FCER1B rs569108 in asthmatic children of Chinese Han nationality. This four-locus set constituted an optimal statistical interaction model.
Objective: This study examined associations of the four-gene model consisting of IL13, IL4, FCER1B, and ADRB2 with the Asthma Predictive Index (API) and atopy in Chinese Han children.
Methods: Four single-nucleotide polymorphisms (SNPs) in the four genes were genotyped in 385 preschool children with wheezing symptoms using matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Student’s t test and x2 tests were used for this analysis.
Results: Significant correlations were found between the four-locus gene model and the stringent and loose API (both P<0.0001). Additionally, a high-risk asthma genotype was a risk factor for the positive API (stringent API: OR= 4.08, loose API: OR=2.36). We also found a statistically significant association of the four-locus gene model with atopy (P<0.01, OR= 2.09).
Conclusions: Our results indicated that the four-locus gene model consisting of L13 rs20541, IL4 rs2243250, ADRB2 rs1042713 and FCER1B rs569108 was associated with the API and atopy. These findings provide an evidence of the gene model for determining a high risk of developing asthma and atopy in Chinese Han children.

Key words: Asthma Predictive Index, atopy, gene model, single-nucleotide polymorphism