Interleukin-33 gene variants (rs928413, rs16924159 and rs7037276) and susceptibility to asthma among Iraqi adult patients

IF 0.8 Q4 GENETICS & HEREDITY
Semaa A. Shaban , Suad A. Brakhas , Ali H. Ad'hiah
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引用次数: 2

Abstract

Interleukin-33 is proposed to influence asthma susceptibility. Three IL33 gene variants (rs928413, rs16924159 and rs7037276) were included in a case-control study conducted on 104 Iraqi asthmatics and 111 controls. Tetra-primer-amplification-refractory-mutation-system-polymerase-chain-reaction method was used to determine these variants. Logistic regression analysis showed that A allele and AA genotype of rs928413 were significantly associated with an increased asthma risk under allele and recessive models, respectively. Regarding rs16924159, allele, recessive, dominant and codominant models demonstrated a significant association with asthma susceptibility, but the highest risk was found for AA genotype under recessive model. For SNP rs7037276, neither alleles nor genotypes were associated with asthma risk. Tri-locus haplotype analysis (in the order rs928413, rs16924159 and rs7037276) revealed that A-G-T haplotype frequency was significantly elevated in asthmatics compared to controls, while frequency of G-G-T haplotype was significantly decreased. In conclusions, two IL33 gene SNPs (rs928413 and rs16924159) were proposed to be associated with asthma susceptibility.

伊拉克成年患者白介素-33基因变异(rs928413、rs16924159和rs7037276)与哮喘易感性的关系
白细胞介素-33被认为影响哮喘易感性。3种IL33基因变异(rs928413、rs16924159和rs7037276)纳入了一项对104名伊拉克哮喘患者和111名对照者进行的病例对照研究。采用4 -引物-扩增-难解-突变-聚合酶链反应法测定这些变异。Logistic回归分析显示,rs928413的A等位基因和AA基因型在等位基因和隐性模型下分别与哮喘风险增加显著相关。rs16924159等位基因、隐性基因、显性基因和共显性基因模型与哮喘易感性均有显著相关性,但AA基因型在隐性模型下风险最高。对于SNP rs7037276,等位基因和基因型都与哮喘风险无关。三位点单倍型分析(顺序为rs928413、rs16924159和rs7037276)发现哮喘患者A-G-T单倍型频率显著高于对照组,G-G-T单倍型频率显著低于对照组。综上所述,两个IL33基因snp (rs928413和rs16924159)可能与哮喘易感性相关。
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来源期刊
Meta Gene
Meta Gene Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍: Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.
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