Comparison of hepatitis C virus NS5b and 5' noncoding gene sequencing methods in a multicenter study

Abstract

A national evaluation study was performed in 11 specialized laboratories with the objective of assessing their capacities to genotype hepatitis C virus (HCV) and define the applicability of a given genotyping method. The panel consisted of 14 samples positive for HCV RNA of different genotypes (including 3 samples with two different artificially mixed genotypes) and 1 HCV-negative sample. Seventeen sets of data were gathered from the 11 participating laboratories. The sensitivities ranged from 64.3 to 100% and from 42.7 to 85.7% for the methods that used sequencing of the NS5b region and the 5' noncoding (5' NC) region, respectively. When the data for the artificially mixed samples were excluded, NS5b genotyping gave correct results for 80% of the samples, 1.7% of the samples were misclassified, and 18.3% of the samples had false-negative results. By 5' NC-region genotyping methods, 58.3% of the results were correct, 29.7% were incomplete, 8.3% were misclassifications, 1.2% were false positive, and 2.4% were false negative. Only two procedures based on NS5b sequencing correctly identified one of the three samples with mixtures of genotypes; the other methods identified the genotype corresponding to the strain with the highest viral load in the sample. Our results suggest that HCV 5' NC-region genotyping methods give sufficient information for clinical purposes, in which the determination of the subtype is not essential, and that NS5b genotyping methods are more reliable for subtype determination, which is required in epidemiological studies.

FIG.1.

Phylogenetic analysis of the NS5b sequences of the samples containing HCV strains included in the panel (excluding those artificially coinfected) compared with NS5b reference sequences from GenBank and in-house NS5b sequences. HCV genotypes are designated by the numbers 1 to 5. Genomes from this study are indicated with black squares and with the sample number. The phylogenetic tree was constructed by using the neighbor-joining method in the PHYLIP package (15). Bootstrap values are shown at each main branch.