Application of simulation-based CYP26 SNP-environment barcodes for evaluating the occurrence of oral malignant disorders by odds ratio-based binary particle swarm optimization: A case-control study in the Taiwanese population

应用基于模拟的CYP26 SNP-环境条形码,通过基于比值比的二进制粒子群优化算法评估口腔恶性疾病的发生率:一项台湾人群病例对照研究

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Abstract

INTRODUCTION: Genetic polymorphisms and social factors (alcohol consumption, betel quid (BQ) usage, and cigarette consumption), both separately or jointly, play a crucial role in the occurrence of oral malignant disorders such as oral and pharyngeal cancers and oral potentially malignant disorders (OPMD). MATERIAL AND METHODS: Simultaneous analyses of multiple single nucleotide polymorphisms (SNPs) and environmental effects on oral malignant disorders are essential to examine, albeit challenging. Thus, we conducted a case-control study (N = 576) to analyze the risk of occurrence of oral malignant disorders by using binary particle swarm optimization (BPSO) with an odds ratio (OR)-based method. RESULTS: We demonstrated that a combination of SNPs (CYP26B1 rs887844 and CYP26C1 rs12256889) and socio-demographic factors (age, ethnicity, and BQ chewing), referred to as the combined effects of SNP-environment, correlated with maximal risk diversity of occurrence observed between the oral malignant disorder group and the control group. The risks were more prominent in the oral and pharyngeal cancers group (OR = 10.30; 95% confidence interval (CI) = 4.58-23.15) than in the OPMD group (OR = 5.42; 95% CI = 1.94-15.12). CONCLUSIONS: Simulation-based "SNP-environment barcodes" may be used to predict the risk of occurrence of oral malignant disorders. Applying simulation-based "SNP-environment barcodes" may provide insight into the importance of screening tests in preventing oral and pharyngeal cancers and OPMD.

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