
Association of GWAS‐supported noncoding area loci rs404860, rs3117098, and rs7775228 with asthma in Chinese Zhuang population
Author(s) -
Liang SiQiao,
Deng JingMin,
Wei Xuan,
Chen ZhangRong,
Yang MeiLing,
Qin Huajiao,
Zhang Jianquan,
He Zhiyi
Publication year - 2020
Publication title -
journal of clinical laboratory analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 50
eISSN - 1098-2825
pISSN - 0887-8013
DOI - 10.1002/jcla.23066
Subject(s) - asthma , genome wide association study , genotype , allele , genetics , genetic association , single nucleotide polymorphism , genetic model , population , logistic regression , biology , case control study , medicine , gene , environmental health
Background Asthma is a complicated and polygenic inheritance disease, and its prevalence increases worldwide. Recent genome‐wide association studies (GWASs) identified a significant association of single nucleotide polymorphism with asthma in the Japanese population. This study aimed to examine the association of GWAS‐supported noncoding area loci, namely rs404860, rs3117098, and rs7775228, with asthma in Chinese Zhuang population. Methods A case‐control study involving 223 individuals, comprising 123 patients with asthma and 100 healthy controls, was conducted. Genotypes were determined by polymerase chain reaction (PCR)/ligase detection reaction assay. The association between gene polymorphisms and asthma risk was calculated by logistic regression analysis using different genetic models through comparisons of alleles (A vs a), homozygote genotypes (AA vs aa), heterozygote genotypes (Aa vs aa), dominant models (AA+Aa vs aa), and recessive models (AA vs. Aa+aa). Results The distribution of the genotype frequency of rs3117098 was statistically different between the case and control groups. For rs3117098, significant associations were observed through comparisons of alleles (OR: 1.832, 95% CI: 1.048‐3.204, P = .034) and dominant models (OR: 2.065, 95% CI: 1.001‐4.260, P = .050). The statistical analysis showed no significant difference for loci rs404860 and rs7775228 between patients with asthma and controls. Conclusion rs3117098 may be the risk factor for asthma in Chinese Zhuang population.