Genetic variation of six specific SNPs of chronic obstructive pulmonary disease among Chinese population

J. Jing, D. Xu,Z. Li, J. Wang, J. Dai,F. S. Li

PULMONOLOGY(2024)

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摘要
Background: Chronic obstructive pulmonary disease (COPD) is a chronic bronchitis (or) emphysema with a high disability and fatality rate. This study aimed to explore the correlation between the six selected single nucleotide polymorphisms (SNPs) and the risk of COPD in the Chinese population. Methods: The Agena MassARRAY platform was used to select six SNPs from 629 subjects for genotyping. The correlation between SNPs and COPD risk was evaluated using calculated odds ratios (ORs) and 95% confidence intervals (CIs). Multi -factor dimensionality reduction (MDR) was performed to analyze the impact of SNP interactions on COPD risk. Multiple comparisons were performed using Bonferroni- correction. Results: Our results indicated that rs4719841 and rs7934083 variants were associated with a reduced risk of COPD. The analysis results of age, gender and non-smokers showed that rs4719841 and rs7934083 were associated with reducing the risk of COPD. In addition, the results showed that the genetic models of rs4719841, rs7934083 and rs7780562 were related to the forced vital capacity, respiratory rate per second, and respiratory rate / forced vital capacity of COPD patients, respectively. The results of the MDR analysis showed that the three -locus model (rs4719841, rs7934083, and rs78750958) is the best for COPD risk assessment. Conclusion: This study shows that rs4719841 and rs7934083 are associated with the risk of COPD in the Chinese population, which provides some insights for early screening, prevention, and diagnosis of COPD in high -risk populations. (c) 2022 Sociedade Portuguesa de Pneumologia. Published by Elsevier Espa & ntilde;a, S.L.U. This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
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关键词
Genetic variation,SNP,Chronic obstructive pulmonary disease,Chinese population,Case-control study,MDR analysis,Single nucleotide polymorphisms
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