Myers Richard, Clark Caroline, Khan Arshad, Kellam Paul, Tedder Richard
Division of Infection and Immunity, Royal Free and University College Medical School, The Windeyer Building, 46 Cleveland Street, London W1T 4JF, UK.
Department of Virology, UCLH NHS Foundation Trust, The Windeyer Building, 46 Cleveland Street, London W1T 4JF, UK.
J Gen Virol. 2006 Jun;87(Pt 6):1459-1464. doi: 10.1099/vir.0.81734-0.
Hepatitis B virus (HBV) genomes have been classified into eight genotypes based on phylogenetic analysis of sequence variation. Identifying and tracking the movement of HBV genotypes is important in terms of both monitoring infection rates and predicting disease and treatment. An HBV genotyping tool has been developed that compares query sequences with position-specific scoring matrices representing the eight HBV genotypes. This tool (hbv star) is rapid, robust and accurate and assigns genotype based on a statistically defined scoring model. hbv star confidently assigned 90% of 590 full-length HBV genomes to an HBV genotype (Z score >2.0). Thirty-two of the residual 48 sequences were identified as non-human primate viruses and 16 sequences were identified as recombinant or putative recombinants. Receiver-Operated Characteristic (ROC) analysis was used to compare the accuracy of genotype prediction using basal core promoter sequences and surface and core genes with the accuracy achieved by using full-length sequences. A web interface to hbv star is available at http://www.vgb.ucl.ac.uk/starn.shtml.
基于序列变异的系统发育分析,乙型肝炎病毒(HBV)基因组已被分为八种基因型。识别和追踪HBV基因型的传播,对于监测感染率以及预测疾病和治疗都具有重要意义。现已开发出一种HBV基因分型工具,该工具可将查询序列与代表八种HBV基因型的位置特异性评分矩阵进行比较。此工具(hbv star)快速、可靠且准确,并基于统计学定义的评分模型来确定基因型。hbv star能够自信地将590个全长HBV基因组中的90%归为某一HBV基因型(Z值>2.0)。其余48个序列中的32个被鉴定为非人灵长类病毒,16个序列被鉴定为重组体或推定重组体。采用受试者工作特征(ROC)分析,比较了使用核心启动子基础序列、表面基因和核心基因进行基因型预测的准确性与使用全长序列所达到的准确性。可通过http://www.vgb.ucl.ac.uk/starn.shtml访问hbv star的网络界面。