Gene-environment and gene-gene interactions between CHRNA3 rs1051730, XRCC1 rs25487, and ERCC1 rs735482 variants highly elevate the risk of lung cancer

Gene-environment and gene-gene interactions between CHRNA3 rs1051730, XRCC1 rs25487, and ERCC1 rs735482 variants highly elevate the risk of lung cancer

Ezzeldin, Nada;El-Lebedy, Dalia;Mohammed, Asmaa;
egyptian journal of medical human genetics 2019 Vol. 20 pp. 1-7
283
ezzeldin2019geneenvironmentegyptian

Abstract

Abstract Background Gene-gene and gene-environment interactions play an important role in cancer susceptibility. In this work, we studied the association of XRCC1 rs25487, ERCC1 rs735482, and CHRNA3 rs1051730 variants with lung cancer and assessed the modulatory effect of potential interaction between these variants on disease risk. Results In this study, 86 primary lung cancer patients and 64 control subjects were genotyped for CHRNA3 rs1051730, XRCC1 rs25487, and ERCC1 rs735482 by real-time PCR. The frequency of the three studied variants was higher among lung cancer patients than in control subjects, but with no statistical significance. ERCC1 rs735482 variant was associated with 6.9-fold increased risk to develop lung cancer among smokers (p = 0.03). Concomitant presence of CHRNA3 and ERCC1 wild alleles was associated with 2.7-fold elevated risk of lung cancer (p < 0.0001), while concomitant presence of CHRNA3 rs1051730 variant allele with ERCC1 wild allele was associated with 20-fold elevated risk (p < 0.000). Concomitant presence of both variants, ERCC1 rs735482 and CHRNA3 rs1051730, was associated with 9.9-fold elevated risk (p < 0.0001). Meanwhile, the concomitant presence of XRCC1 rs25487 with either ERCC1 rs735482 or CHRNA3 rs1051730 or both was not associated with increased risk of the disease. Conclusion Our results emphasize the role of gene-gene interaction in the pathogenesis of lung cancer. Large-scale further studies to clarify the underlying mechanisms are needed.

Citation

ID: 103238
Ref Key: ezzeldin2019geneenvironmentegyptian
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
103238
Unique Identifier:
6d01135d1460372e72bb0f8024930ff7
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet