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Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay

Authors :
Hope R. Lapointe
P. Richard Harrigan
Chanson J. Brumme
Don Kirkby
Anita Y. M. Howe
Art F. Y. Poon
Winnie Dong
Weiyan Dong
Conan K. Woods
Source :
Viruses, Vol 13, Iss 1721, p 1721 (2021), Viruses, Volume 13, Issue 9
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Despite the effectiveness of direct-acting antiviral agents in treating hepatitis C virus (HCV), cases of treatment failure have been associated with the emergence of resistance-associated substitutions. To better guide clinical decision-making, we developed and validated a near-whole-genome HCV genotype-independent next-generation sequencing strategy. HCV genotype 1–6 samples from direct-acting antiviral agent treatment-naïve and -treated HCV-infected individuals were included. Viral RNA was extracted using a NucliSens easyMAG and amplified using nested reverse transcription-polymerase chain reaction. Libraries were prepared using Nextera XT and sequenced on the Illumina MiSeq sequencing platform. Data were processed by an in-house pipeline (MiCall). Nucleotide consensus sequences were aligned to reference strain sequences for resistance-associated substitution identification and compared to NS3, NS5a, and NS5b sequence data obtained from a validated in-house assay optimized for HCV genotype 1. Sequencing success rates (defined as achieving &gt<br />100-fold read coverage) approaching 90% were observed for most genotypes in samples with a viral load &gt<br />5 log10 IU/mL. This genotype-independent sequencing method resulted in &gt<br />99.8% nucleotide concordance with the genotype 1-optimized method, and 100% agreement in genotype assignment with paired line probe assay-based genotypes. The assay demonstrated high intra-run repeatability and inter-run reproducibility at detecting substitutions above 2% prevalence. This study highlights the performance of a freely available laboratory and bioinformatic approach for reliable HCV genotyping and resistance-associated substitution detection regardless of genotype.

Details

Language :
English
ISSN :
19994915
Volume :
13
Issue :
1721
Database :
OpenAIRE
Journal :
Viruses
Accession number :
edsair.doi.dedup.....4587a193f0fb60ac2a5ed3f5df165b18