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

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 gen...

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Autores principales: Lapointe, Hope R., Dong, Weiyan, Dong, Winnie W. Y., Kirkby, Don, Woods, Conan, Poon, Art F. Y., Howe, Anita Y. M., Harrigan, P. Richard, Brumme, Chanson J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473162/
https://www.ncbi.nlm.nih.gov/pubmed/34578305
http://dx.doi.org/10.3390/v13091721
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author Lapointe, Hope R.
Dong, Weiyan
Dong, Winnie W. Y.
Kirkby, Don
Woods, Conan
Poon, Art F. Y.
Howe, Anita Y. M.
Harrigan, P. Richard
Brumme, Chanson J.
author_facet Lapointe, Hope R.
Dong, Weiyan
Dong, Winnie W. Y.
Kirkby, Don
Woods, Conan
Poon, Art F. Y.
Howe, Anita Y. M.
Harrigan, P. Richard
Brumme, Chanson J.
author_sort Lapointe, Hope R.
collection PubMed
description 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 >100-fold read coverage) approaching 90% were observed for most genotypes in samples with a viral load >5 log(10) IU/mL. This genotype-independent sequencing method resulted in >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.
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spelling pubmed-84731622021-09-28 Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay Lapointe, Hope R. Dong, Weiyan Dong, Winnie W. Y. Kirkby, Don Woods, Conan Poon, Art F. Y. Howe, Anita Y. M. Harrigan, P. Richard Brumme, Chanson J. Viruses Article 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 >100-fold read coverage) approaching 90% were observed for most genotypes in samples with a viral load >5 log(10) IU/mL. This genotype-independent sequencing method resulted in >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. MDPI 2021-08-30 /pmc/articles/PMC8473162/ /pubmed/34578305 http://dx.doi.org/10.3390/v13091721 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lapointe, Hope R.
Dong, Weiyan
Dong, Winnie W. Y.
Kirkby, Don
Woods, Conan
Poon, Art F. Y.
Howe, Anita Y. M.
Harrigan, P. Richard
Brumme, Chanson J.
Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay
title Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay
title_full Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay
title_fullStr Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay
title_full_unstemmed Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay
title_short Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay
title_sort validation of a genotype-independent hepatitis c virus near-whole genome sequencing assay
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8473162/
https://www.ncbi.nlm.nih.gov/pubmed/34578305
http://dx.doi.org/10.3390/v13091721
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