Gene - Gene Interactions Among MCP Genes Polymorphisms in Asthma.
10.4168/aair.2014.6.4.333
- Author:
June Hyuk LEE
1
;
Choon Sik PARK
Author Information
1. Respiratory and Allergy Medicine, Interanl Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea. mdcspark@unitel.co.kr
- Publication Type:Original Article
- Keywords:
Asthma;
epistasis;
polymorphism;
monocyte chemoattractant proteins
- MeSH:
Asthma*;
Basophils;
Cytokines;
Eosinophils;
Genetic Markers;
Haplotypes;
Humans;
Inflammation;
Methacholine Chloride;
Monocyte Chemoattractant Proteins;
Polymorphism, Single Nucleotide
- From:Allergy, Asthma & Immunology Research
2014;6(4):333-340
- CountryRepublic of Korea
- Language:English
-
Abstract:
PURPOSE: Monocyte chemoattractant proteins (MCPs) are important cytokines that involved in cellular activation and releasing of inflammatoy mediators by basophils and eosinophils in allergic disease. Some MCP gene variants implicate in asthma and monoclonal antibody for MCP-3 blocks allergic inflammations in the patients with asthma. Detection of interactions between gene and environment or between genes for complex disease such as asthma is important. We searched for an evidence of genetic effect of single nucleotide polymorphisms (SNPs) of MCP genes as well as gene - gene interactions involved in asthma. METHODS: Four hundreds asthmatics and four hundreds normal controls were enrolled. Asthma was defined as a positive bronchodilator response or positive methacholine provocation test with compatible clinical symptoms. Seven MCP gene SNPs (2 SNPs in MCP-1, 1 in MCP-2, and 4 in MCP-3) were included. Association analyses between SNP and asthma, and the tests for gene - gene interaction were performed. RESULTS: Strong linkage disequilibria were found among 7 MCP gene polymorphisms. There was no SNP that showed a significant association with asthma among 7 SNPs of 3 MCP genes. No haplotype was associated with asthma, either. The combination of MCP1-2518G>A, MCP2+46A>C, and MCP3+563C>T was the best predictive model for asthma as compared to the control in tests for gene - gene interaction. The MCP1-2518G>A and MCP2+46A>C was the second best predictive combination and this had the highest synergistic interaction effect on the subject's status than any other combination of polymorphisms. Complete linkages were not associated with the gene - gene interactions models. CONCLUSIONS: MCP gene polymorphisms probably interact with each other; thus, these findings may help in developing a possible genetic marker to predict asthma.
