关键词: 最优风险与预防模型, SNP位点, 乙型肝炎病毒

Abstract: Objective In this paper, a computer based method that could select the genetic loci with single nucleotide polymorphism (SNP) from amount of gene data with relative low costs and simple operations is proposed. Methods The algorithm with optimal risk and preventive pattern is applied to analyse the mutation of gene based on SNP loci after the extraction of feature property. The evolution of HBV (Hepatitis B Virus) is studied as an example to discover the phenomena of mutation during the transition from Acute to Chronic carrier, then to Cirrhosis. Results The computing experiment releases 18 potential SNPs locus that demonstrate the transition from Acute to Chronic, five of them have been reported by previous research, the remaining 13 are potential locus. In addition, 3 potential SNPs locus that demonstrate the transition to Cirrhosis are uncovered. Conclusion The proposed method can be used to select SNP locus from large number of gene data effectively and inexpensively, which may possibly be applied to the clinic diagnosis and basic research of HBV or other virus caused disease.

Key words: optimal risk and preventive pattern, genetic loci with SNP, HBV