ArticleJournal of human genetics2008
Genetic interactions model among Eotaxin gene polymorphisms in asthma.
Article in Journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Gene set based association analyses for the WSSV resistance of Pacific white shrimp Litopenaeus vannamei.Scientific reports · 2017Article
- Gene - Gene Interactions Among MCP Genes Polymorphisms in Asthma.Allergy, asthma & immunology research · 2014Article
- Clinical Significance of the Dynamic Changes in Serum Eotaxin, Interleukin 13 and Total IgE in Children with Bronchial Asthma.Iranian journal of pediatrics · 2013Article
- Genetic polymorphisms and associated susceptibility to asthma.International journal of general medicine · 2013Article
- The search for genetic variants and epigenetics related to asthma.Allergy, asthma & immunology research · 2011Article
- Expression analysis of asthma candidate genes during human and murine lung development.Respiratory research · 2011Article
- Unraveling the genetic basis of asthma and allergic diseases.Allergy, asthma & immunology research · 2010Article
- Past, present, and future of allergy in Korea.Allergy, asthma & immunology research · 2010Article
- Association of three-gene interaction among MTHFR, ALOX5AP and NOTCH3 with thrombotic stroke: a multicenter case-control study.Human genetics · 2009Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Eotaxin family (Eotaxin 1,2 and 3) recruits and activates CCR3-bearing cells such as eosinophil, mast cells, and Th2 lymphocytes that play a major role in allergic disorders. We examined the polygenetic effects of the Eotaxin gene family in a Korean population. Gene-gene interactions were tested using a multistep approach with multifactor dimensionality reduction (MDR) method between asthmatics and normal controls. The overall best MDR model of the main effect single nucleotide polymorphisms (SNPs) included EOT2 + 1272A > G and EOT3 + 77C > T (model 1) [testing accuracy 0.597, cross-validation consistency (CVC) 10/10, P < 0.001]. The overall best MDR model of the SNPs with no main effects included EOT2 + 304C > A, EOT3 + 716A > G, and EOT3 + 1579G > A (model 2) (testing accuracy 0.616, CVC 10/10, P < 0.001). Model 3 was obtained by including the MDR variables for models 1 and 2. This new composite model predicted asthma with better accuracy than either model 1 or model 2 (testing accuracy 0.643, CVC 10/10, P < 0.001). The detection of statistical interaction models is one evidence of gene-gene interactions among Eotaxin genes, and this interaction is thought to influence the development of asthma. Although the models are limited to determining statistical interactions within a population, they may be useful for identifying groups at high risk of developing asthma.
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