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Updated: Jun 13, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Association and gene-gene interactions of eight common single-nucleotide polymorphisms with pediatric asthma in
Xiaohui Wu1, Yirong Li, Qingguo Chen
1Department of Clinical Laboratory, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Background:
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.
Objective:
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.
Methods:
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.
Results:
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).
Conclusions:
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.
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