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Updated: Apr 27, 2026
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Interleukin-4 and interleukin-13 pathway genetics affect disease susceptibility, serum immunoglobulin E levels, and
Jia Li1, Li-hui Lin1, Juan Wang1
1Department of Laboratory Medicine, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai, China.
Background:
Asthma is a common immune disorder characterized by increased IgE levels. The interleukin (IL)-4 and IL-13 pathway is central for IgE regulation, and previous studies have reported many genetic variants of IL-4/IL-13 signaling in relation to asthma, but few have focused on the gene-to-gene interactions that are likely to contribute to disease complexity.
Objective:
To assess the combined effects of 7 functional single-nucleotide polymorphisms (SNPs) on asthma susceptibility, total serum IgE levels, and gene expression in children.
Methods:
Seven SNPs (rs2243250, rs1800925, rs1805010, rs324011, rs2251746, rs2494262, and rs2427837) were genotyped children with asthma (n = 500) and a control group (n = 523), and total serum IgE levels and gene expressions were measured in children with asthma.
Results:
Children with asthma had a likelier possibility of carrying more risk genotypes. Mean IgE levels increased from the minimum of 71.07 KU/L in children with no tested polymorphisms to a maximum of 901.7 KU/L in children carrying 7 risk genotypes. Gene expression analysis showed that patients with 4 SNPs (rs2243250, rs1800925, rs1805010, and rs3224011) had higher expression levels of IL-4, IL-13, and STAT6. Moreover, serum IgE level generally correlated well with IL-4 (r = 0.236, P = .011) and IL-13 (r = 0.211, P = .021) expressions; IL-4 expression correlated positively with IL-13 (r = 0.962, P = .000) and STAT6 (r = 0.190, P = .022) expressions, and STAT6 expression correlated with IL-4RA expression (r = 0.904, P = .000).
Conclusion:
These data suggest that combinations of multiple SNPs might magnify the impact on disease risk. Only a combined analysis of the variants in the IL-4/IL-13 pathway could show the functional interplay of multiple genes in asthma.
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