Skip to main content

Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese.

Publication ,  Journal Article
Yang, L; Qiu, F; Lu, X; Huang, D; Ma, G; Guo, Y; Hu, M; Zhou, Y; Pan, M; Tan, Y; Zhong, H; Ji, W; Wei, Q; Ran, P; Zhong, N; Zhou, Y; Lu, J
Published in: PLoS One
2012

Recently, several genome-wide association studies (GWAS) have identified many susceptible single nucleotide polymorphisms (SNPs) for chronic obstructive pulmonary disease (COPD) and lung cancer which are two closely related diseases. Among those SNPs, some of them are shared by both the diseases, reflecting there is possible genetic similarity between the diseases. Here we tested the hypothesis that whether those shared SNPs are common predictor for risks or prognosis of COPD and lung cancer. Two SNPs (rs6495309 and rs1051730) located in nicotinic acetylcholine receptor alpha 3 (CHRNA3) gene were genotyped in 1511 patients with COPD, 1559 lung cancer cases and 1677 controls in southern and eastern Chinese populations. We found that the rs6495309CC and rs6495309CT/CC variant genotypes were associated with increased risks of COPD (OR = 1.32, 95% C.I. = 1.14-1.54) and lung cancer (OR = 1.57; 95% CI = 1.31-1.87), respectively. The rs6495309CC genotype contributed to more rapid decline of annual Forced expiratory volume in one second (FEV1) in both COPD cases and controls (P<0.05), and it was associated with advanced stages of COPD (P = 0.033); the rs6495309CT/CC genotypes conferred a poor survival for lung cancer (HR = 1.41, 95%CI = 1.13-1.75). The luciferase assays further showed that nicotine and other tobacco chemicals had diverse effects on the luciferase activity of the rs6495309C or T alleles. However, none of these effects were found for another SNP, rs1051730G>A. The data show a statistical association and suggest biological plausibility that the rs6495309T>C polymorphism contributed to increased risks and poor prognosis of both COPD and lung cancer.

Duke Scholars

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2012

Volume

7

Issue

10

Start / End Page

e46071

Location

United States

Related Subject Headings

  • Risk Factors
  • Respiratory Function Tests
  • Receptors, Nicotinic
  • Pulmonary Disease, Chronic Obstructive
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Middle Aged
  • Male
  • Lung Neoplasms
  • Linear Models
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yang, L., Qiu, F., Lu, X., Huang, D., Ma, G., Guo, Y., … Lu, J. (2012). Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese. PLoS One, 7(10), e46071. https://doi.org/10.1371/journal.pone.0046071
Yang, Lei, Fuman Qiu, Xiaoxiao Lu, Dongsheng Huang, Guanpei Ma, Yuan Guo, Min Hu, et al. “Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese.PLoS One 7, no. 10 (2012): e46071. https://doi.org/10.1371/journal.pone.0046071.
Yang L, Qiu F, Lu X, Huang D, Ma G, Guo Y, et al. Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese. PLoS One. 2012;7(10):e46071.
Yang, Lei, et al. “Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese.PLoS One, vol. 7, no. 10, 2012, p. e46071. Pubmed, doi:10.1371/journal.pone.0046071.
Yang L, Qiu F, Lu X, Huang D, Ma G, Guo Y, Hu M, Zhou Y, Pan M, Tan Y, Zhong H, Ji W, Wei Q, Ran P, Zhong N, Lu J. Functional polymorphisms of CHRNA3 predict risks of chronic obstructive pulmonary disease and lung cancer in Chinese. PLoS One. 2012;7(10):e46071.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2012

Volume

7

Issue

10

Start / End Page

e46071

Location

United States

Related Subject Headings

  • Risk Factors
  • Respiratory Function Tests
  • Receptors, Nicotinic
  • Pulmonary Disease, Chronic Obstructive
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Middle Aged
  • Male
  • Lung Neoplasms
  • Linear Models