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

IF 10.4 2区 医学 Q1 RESPIRATORY SYSTEM Pulmonology Pub Date : 2024-03-01 DOI:10.1016/j.pulmoe.2022.02.004
J. Jing , D. Xu , Z. Li , J. Wang , J. Dai , F.S. Li
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Abstract

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.

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中国人群中慢性阻塞性肺病六个特定 SNPs 的遗传变异。
背景:慢性阻塞性肺疾病(COPD)是一种致残率和致死率极高的慢性支气管炎(或)肺气肿。本研究旨在探讨所选的六个单核苷酸多态性(SNPs)与中国人群罹患慢性阻塞性肺疾病风险之间的相关性:方法:利用Agena MassARRAY平台从629名受试者中筛选出6个SNPs进行基因分型。方法:利用Agena MassARRAY平台从629名受试者中筛选出6个SNPs进行基因分型,并通过计算几率比(ORs)和95%置信区间(CIs)评估SNPs与慢性阻塞性肺病风险之间的相关性。为了分析 SNP 相互作用对慢性阻塞性肺病风险的影响,进行了多因素降维 (MDR)。使用Bonferroni校正进行多重比较:结果表明,rs4719841 和 rs7934083 变体与慢性阻塞性肺病风险的降低有关。对年龄、性别和非吸烟者的分析结果显示,rs4719841 和 rs7934083 与 COPD 风险的降低有关。此外,结果显示,rs4719841、rs7934083 和 rs7780562 的遗传模型分别与 COPD 患者的强迫生命容量、每秒呼吸频率和呼吸频率/强迫生命容量有关。MDR分析结果表明,三病灶模型(rs4719841、rs7934083和rs78750958)是COPD风险评估的最佳模型:本研究表明,rs4719841 和 rs7934083 与中国人群的慢性阻塞性肺疾病风险相关,这为慢性阻塞性肺疾病在高危人群中的早期筛查、预防和诊断提供了一些启示。
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来源期刊
Pulmonology
Pulmonology Medicine-Pulmonary and Respiratory Medicine
CiteScore
14.30
自引率
5.10%
发文量
159
审稿时长
19 days
期刊介绍: Pulmonology (previously Revista Portuguesa de Pneumologia) is the official journal of the Portuguese Society of Pulmonology (Sociedade Portuguesa de Pneumologia/SPP). The journal publishes 6 issues per year and focuses on respiratory system diseases in adults and clinical research. It accepts various types of articles including peer-reviewed original articles, review articles, editorials, and opinion articles. The journal is published in English and is freely accessible through its website, as well as Medline and other databases. It is indexed in Science Citation Index Expanded, Journal of Citation Reports, Index Medicus/MEDLINE, Scopus, and EMBASE/Excerpta Medica.
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