Investigating the role of eight SNPs in <i>CHRNA3</i> for COPD susceptibility in the Chinese elderly population

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality among the elderly in China. Genetic predisposition is a recognized risk factor for COPD, with <i>CHRNA3</i> emerging as a promising candidate gene due to its involvement in smoking behavior and lung function. This study aimed to investigate the association between eight <i>CHRNA3</i> SNPs and COPD susceptibility in the Chinese elderly population. A total of 270 COPD patients and 271 healthy controls were included in the study. SNP genotyping was carried out using the Agena MassARRAY platform. Logistic regression analysis was employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between the SNPs and COPD risk. Forest plots were generated using Sangerbox software to visually represent the association results. Additionally, haplotype blocks were constructed using Haploview 4.2 software to explore the potential impact of haplotypes on COPD risk. Our findings indicated that rs615470, rs660652, and rs472054 are associated with a reduced risk of COPD, while rs8040868 is associated with an increased risk. Linkage disequilibrium (LD) analysis identified a haplotype block encompassing rs76071148, rs615470, rs660652, rs472054 and rs578776. Notably, the haplotype TTAAG was associated with a reduced risk of COPD. This study provides valuable insights into the genetic susceptibility of COPD among the elderly, particularly regarding the role of SNPs in <i>CHRNA3</i>. These findings contribute to a deeper understanding of the pathogenesis of COPD and may facilitate the discovery of novel therapeutic targets for COPD.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28582614
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
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article

Investigating the role of eight SNPs in CHRNA3 for COPD susceptibility in the Chinese elderly population

Figshare
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Investigating the role of eight SNPs in CHRNA3 for COPD susceptibility in the Chinese elderly population

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Abstract

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality among the elderly in China. Genetic predisposition is a recognized risk factor for COPD, with <i>CHRNA3</i> emerging as a promising candidate gene due to its involvement in smoking behavior and lung function. This study aimed to investigate the association between eight <i>CHRNA3</i> SNPs and COPD susceptibility in the Chinese elderly population. A total of 270 COPD patients and 271 healthy controls were included in the study. SNP genotyping was carried out using the Agena MassARRAY platform. Logistic regression analysis was employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between the SNPs and COPD risk. Forest plots were generated using Sangerbox software to visually represent the association results. Additionally, haplotype blocks were constructed using Haploview 4.2 software to explore the potential impact of haplotypes on COPD risk. Our findings indicated that rs615470, rs660652, and rs472054 are associated with a reduced risk of COPD, while rs8040868 is associated with an increased risk. Linkage disequilibrium (LD) analysis identified a haplotype block encompassing rs76071148, rs615470, rs660652, rs472054 and rs578776. Notably, the haplotype TTAAG was associated with a reduced risk of COPD. This study provides valuable insights into the genetic susceptibility of COPD among the elderly, particularly regarding the role of SNPs in <i>CHRNA3</i>. These findings contribute to a deeper understanding of the pathogenesis of COPD and may facilitate the discovery of novel therapeutic targets for COPD.

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Chronic Obstructive Pulmonary Disease (COPD) Research
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Investigating the role of eight SNPs in <i>CHRNA3</i> for COPD susceptibility in the Chinese elderly population · Figshare (2025) | TGRS Research Map | TGRS