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

• Published in: Future oncology (London, England) Vol. 15; no. 33; pp. 3845 - 3859
• Main Authors: Singh, Amrita, Singh, Navneet, Behera, Digambar, Sharma, Siddharth
• Format: Journal Article
• Language: English
• Published: England Future Medicine Ltd 01.11.2019
• Subjects: Adult; Aged; base excision repair; Case-Control Studies; Cell cycle; classification and regression tree analysis; cross validation consistency; Deoxyribonucleic acid; DNA; DNA Breaks, Double-Stranded; DNA damage; DNA Glycosylases - genetics; DNA Glycosylases - metabolism; DNA repair; DNA Repair - genetics; Female; Gene Regulatory Networks; Gene-Environment Interaction; Genes; Genetic Predisposition to Disease; Humans; India; Lung cancer; Lung Neoplasms - genetics; Lung Neoplasms - pathology; Male; Middle Aged; Models, Genetic; multidimensionality reduction; odds ratio; Polymorphism, Single Nucleotide; Recombinational DNA Repair - genetics; Regression analysis; single nucleotide polymorphism; Smoking; Statistical analysis; susceptibility; X-ray Repair Cross Complementing Protein 1 - genetics; X-ray Repair Cross Complementing Protein 1 - metabolism; India; lung cancer; classification and regression tree analysis; multidimensionality reduction; susceptibility; single nucleotide polymorphism; DNA; cross validation consistency; base excision repair; odds ratio
• ISSN: 1479-6694; 1744-8301; 1744-8301
• DOI: 10.2217/fon-2019-0297

The DNA repair system safeguards integrity of DNA. Genetic alterations force the improper repair which in conjugation with other factors ultimately results in carcinogenesis. 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. Combination of and 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, and (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). There was a clear indication that high order interactions were major role players in the study.