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Interactions Among Genetic Variants in Tobacco Metabolizing Genes and Smoking Are Associated with Head and Neck Cancer Susceptibility in North Indians

机译:烟草代谢基因和吸烟中遗传变异之间的相互作用与北印度人头颈癌易感性相关

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It is becoming clearly evident that single gene or single environmental factor cannot explain susceptibility to diseases with complex etiology such as head and neck cancer. In this study, we applied the multifactor dimensionality reduction method to explore potential gene-environment and gene-gene interactions that may contribute to predisposition to head and neck cancer in the North Indian population. We genotyped 203 patients with head and neck cancer and 201 healthy controls for 13 functional polymorphisms in genes coding for tobacco metabolizing enzymes; CYP1A1, CYP2A13, GSTM1, and UGT1A7 using polymerase chain reaction-restriction fragment length polymorphism method, real-time polymerase chain reaction quantitative assay, and denaturing high-performance liquid chromatography followed by direct sequencing. We found that GSTM1 copy number variations were the most influential factor for head and neck cancer. We also observed significant gene-gene interactions among GSTM1 copy number variants, CYP1A1 T3801C and UGT1A7 T622C variants among smokers. Multifactor dimensionality reduction approach showed that the three-factor model, including smoking status, CYP1A1 T3801C, and GSTM1 copy number variants, conferred more than fourfold increased risk of head and neck cancer (odds ratio 4.89; 95% confidence interval: 3.15-7.32, p<0.01). These results support the hypothesis that genetic variants in tobacco metabolizing genes may contribute to head and neck cancer risk through gene-gene and gene-environmental interactions.
机译:越来越明显的是,单一基因或单一环境因素无法解释对病因复杂的疾病(如头颈癌)的易感性。在这项研究中,我们应用了多维度降维方法来探索潜在的基因环境和基因-基因相互作用,这些相互作用可能有助于北印度人口中头颈癌的易感性。我们对203例头颈癌患者和201例健康对照的基因型进行了基因分型,以分析烟草代谢酶编码基因中的13个功能多态性。 CYP1A1,CYP2A13,GSTM1和UGT1A7使用聚合酶链反应-限制性片段长度多态性方法,实时聚合酶链反应定量分析和变性高效液相色谱法,然后直接测序。我们发现,GSTM1拷贝数变异是影响头颈癌的最重要因素。我们还观察到吸烟者之间GSTM1拷贝数变异,CYP1A1 T3801C和UGT1A7 T622C变异之间存在显着的基因-基因相互作用。多因素降维方法显示,三因素模型(包括吸烟状况,CYP1A1 T3801C和GSTM1拷贝数变异)使头颈癌风险增加了四倍以上(赔率比4.89; 95%置信区间:3.15-7.32, p <0.01)。这些结果支持以下假设:烟草代谢基因中的遗传变异可能通过基因-基因和基因-环境的相互作用而导致头颈癌风险。

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