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Information Technology Journal
Year: 2014  |  Volume: 13  |  Issue: 10  |  Page No.: 1749 - 1754

Study of HBV Evolution Based on Single Nucleotide Polymorphism Using Combined Pattern Method

Ma Lei, Zhang Qi, Jia Qi-Nan, Zhang Jun, Yi Qing-Qing and He Jian-Feng    

Abstract: Liver diseases such as Hepatitis B has seriously affected humans’ health. According to the previous reports, gene mutation occurs as an essential factor of sustained infection. Technically, the detection of single nucleotide polymorphism loci can help study risk of infection and degree of disease evaluation. However, regular single nucleotide polymorphism selection methods such as Single-strand conformation polymorphism and Denaturing gradient gel electrophoresis are restricted by time consuming, technical difficulty and high costing. In this study, a computing method based on optimal risk and preventive pattern algorithm is applied to analyze the genetic mutation from perspective of SNPs in Hepatitis B virus Deoxyribonucleic acid sequence which illustrates the characteristics of low costing and simplified operation process. Moreover the proposed method may uncover specific unknown single nucleotide polymorphism loci from Hepatitis B virus gene sequence data. The experiment releases 18 potential single nucleotide polymorphisms locus that demonstrate the transition from Acute to Chronic, where five of them have been reported in previous research, the remaining 13 are potential locus. In addition, 3 potential single nucleotide polymorphisms locus that demonstrated the transition to Cirrhosis are discovered. It may provide valuable reference for the clinic prevention and diagnostics.

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