XRCC1 632 as a candidate for cancer predisposition via a complex interaction with genetic variants of base excision repair and double strand break repair genes

Amrita Singh, Navneet Singh, Digambar Behera, Siddharth Sharma*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Aim: The DNA repair system safeguards integrity of DNA. Genetic alterations force the improper repair which in conjugation with other factors ultimately results in carcinogenesis. Materials & methods: PCR-restriction fragment length polymorphism was used for genotyping, which was followed by statistical analysis using logistic regression analysis, multifactor dimensionality reduction and classification and regression analysis tree, elaborating the association with lung cancer subjects. Results: Combination of XRCC1 632 and OGG1326 showcased a high risk of eightfold (odds ratio: 7.92; 95% CI: 2.68-23.4; p = 0.0002; false discovery rate (FDR) p = 0.002). Similarly, XRCC1 632 and MUTYH 324 (odds ratio: 5.07; 95% CI: 2.6-9.67; p < 0.0001; FDRp = 0.002) had a high risk. Multifactor dimensionality reduction analysis revealed five factor model as the best model with prediction error of 0.37 (p = 0.02). Conclusion: There was a clear indication that high order interactions were major role players in the study.

Original languageEnglish
Pages (from-to)3845-3859
Number of pages15
JournalFuture Oncology
Volume15
Issue number33
DOIs
StatePublished - 2019
Externally publishedYes

Keywords

  • DNA
  • base excision repair
  • classification and regression tree analysis
  • cross validation consistency
  • lung cancer
  • multidimensionality reduction
  • odds ratio
  • single nucleotide polymorphism
  • susceptibility

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