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Genetic Polymorphisms Along with Dietary and Environmental Factors Enhance the Susceptibility to Nasopharyngeal Carcinoma in Nagaland of Northeast India.
Biochemical Genetics ( IF 2.1 ) Pub Date : 2020-06-18 , DOI: 10.1007/s10528-020-09954-1
Chenole Keppen 1, 2 , Prajjalendra Barooah 1 , Parikhit Borthakur 1 , Snigdha Saikia 1 , Manab Deka 1 , Sahana Bhattacharjee 3 , Joshua Keppen 2 , Vinotsole Khamo 2 , Subhash Medhi 1
Affiliation  

This study investigated the association of seven widely known DNA repair gene polymorphisms (hOGG1 Ser326Cys, XRCC1 Arg194Trp, XRCC1 Arg280His, XRCC1 Arg399Gln, XPC Val499Ala, XPD Lys751Gln and ERCC1 Cys8092Ala) with dietary and environmental factors for Nasopharyngeal Carcinoma (NPC) susceptibility in Nagaland of Northeast India. The genotypes were determined in 128 NPC patients and 180 healthy controls by PCR–RFLP. XRCC1 Arg280His, XPC Val499Ala and ERCC1 Cys8092Ala were found to be associated with NPC risk. Tobacco smoking and burning of firewood for cooking were also found to be a risk factor for NPC. The haplotype analysis of five single-nucleotide polymorphisms (SNPs) XRCC1 Arg194Trp, XRCC1 Arg280His, XRCC1 Arg399Gln, XPD Lys751Gln and ERCC1 Cys8092Ala identified haplotype TGAAC to be significantly associated with NPC. Multifactor dimensionality reduction (MDR) analysis suggested ERCC1 Cys8092Ala to be the best one-factor model that could predict NPC risk. From this study, we conclude that examining the synergistic interactions of various gene–environmental factors together is a better approach to understand NPC susceptibility, instead of their individual effects.

中文翻译:

遗传多态性以及饮食和环境因素增强了印度东北那加兰邦对鼻咽癌的易感性。

这项研究调查了7种众所周知的DNA修复基因多态性(hOGG1 Ser326Cys,XRCC1 Arg194Trp,XRCC1 Arg280His,XRCC1 Arg399Gln,XPC Val499Ala,XPD Lys751Gln和ERCC1 Cys8092Ala)与鼻咽鼻咽癌的饮食和环境因素之间的关系。印度东北。通过PCR-RFLP确定了128例NPC患者和180例健康对照的基因型。发现XRCC1 Arg280His,XPC Val499Ala和ERCC1 Cys8092Ala与NPC风险有关。吸烟和燃烧柴火做饭也是NPC的危险因素。五个单核苷酸多态性(SNP)XRCC1 Arg194Trp,XRCC1 Arg280His,XRCC1 Arg399Gln,XPD Lys751Gln和ERCC1 Cys8092Ala的单倍型分析确定单倍型TGAAC与NPC显着相关。多因素降维(MDR)分析表明ERCC1 Cys8092Ala是可预测NPC风险的最佳单因素模型。从这项研究中,我们得出结论,一起检查各种基因-环境因素的协同相互作用是了解NPC敏感性而不是其个体效应的更好方法。
更新日期:2020-06-18
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