A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus

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A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus. / Pedersen, M. S.; Fahnøe, U.; Hansen, T. A.; Pedersen, A. G.; Jenssen, H.; Bukh, J.; Schønning, K.

I: Journal of Clinical Virology, Bind 105, 2018, s. 49-56.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Pedersen, MS, Fahnøe, U, Hansen, TA, Pedersen, AG, Jenssen, H, Bukh, J & Schønning, K 2018, 'A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus', Journal of Clinical Virology, bind 105, s. 49-56. https://doi.org/10.1016/j.jcv.2018.05.012

APA

Pedersen, M. S., Fahnøe, U., Hansen, T. A., Pedersen, A. G., Jenssen, H., Bukh, J., & Schønning, K. (2018). A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus. Journal of Clinical Virology, 105, 49-56. https://doi.org/10.1016/j.jcv.2018.05.012

Vancouver

Pedersen MS, Fahnøe U, Hansen TA, Pedersen AG, Jenssen H, Bukh J o.a. A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus. Journal of Clinical Virology. 2018;105:49-56. https://doi.org/10.1016/j.jcv.2018.05.012

Author

Pedersen, M. S. ; Fahnøe, U. ; Hansen, T. A. ; Pedersen, A. G. ; Jenssen, H. ; Bukh, J. ; Schønning, K. / A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus. I: Journal of Clinical Virology. 2018 ; Bind 105. s. 49-56.

Bibtex

@article{1ef16ea42a0748308daa42308ae74c7a,
title = "A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus",
abstract = "Background: The current treatment options for hepatitis C virus (HCV), based on direct acting antivirals (DAA), are dependent on virus genotype and previous treatment experience. Treatment failures have been associated with detection of resistance-associated substitutions (RASs) in the DAA targets of HCV, the NS3, NS5A and NS5 B proteins. Objective: To develop a next generation sequencing based method that provides genotype and detection of HCV NS3, NS5A, and NS5 B RASs without prior knowledge of sample genotype. Study design: In total, 101 residual plasma samples from patients with HCV covering 10 different viral subtypes across 4 genotypes with viral loads of 3.84-7.61 Log IU/mL were included. All samples were de-identified and consequently prior treatment status for patients was unknown. Almost full open reading frame amplicons (∼ 9 kb) were generated using RT-PCR with a single primer set. The resulting amplicons were sequenced with high throughput sequencing and analysed using an in-house developed script for detecting RASs. Results: The method successfully amplified and sequenced 94% (95/101) of samples with an average coverage of 14,035; four of six failed samples were genotype 4a. Samples analysed twice yielded reproducible nucleotide frequencies across all sites. RASs were detected in 21/95 (22%) samples at a 15% threshold. The method identified one patient infected with two genotype 2b variants, and the presence of subgenomic deletion variants in 8 (8.4%) of 95 successfully sequenced samples. Conclusions: The presented method may provide identification of HCV genotype, RASs detection, and detect multiple HCV infection without prior knowledge of sample genotype.",
keywords = "Genotyping, NGS, RAS, Replicon, RT-PCR, Subgenome",
author = "Pedersen, {M. S.} and U. Fahn{\o}e and Hansen, {T. A.} and Pedersen, {A. G.} and H. Jenssen and J. Bukh and K. Sch{\o}nning",
year = "2018",
doi = "10.1016/j.jcv.2018.05.012",
language = "English",
volume = "105",
pages = "49--56",
journal = "Journal of Clinical Virology",
issn = "1386-6532",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A near full-length open reading frame next generation sequencing assay for genotyping and identification of resistance-associated variants in hepatitis C virus

AU - Pedersen, M. S.

AU - Fahnøe, U.

AU - Hansen, T. A.

AU - Pedersen, A. G.

AU - Jenssen, H.

AU - Bukh, J.

AU - Schønning, K.

PY - 2018

Y1 - 2018

N2 - Background: The current treatment options for hepatitis C virus (HCV), based on direct acting antivirals (DAA), are dependent on virus genotype and previous treatment experience. Treatment failures have been associated with detection of resistance-associated substitutions (RASs) in the DAA targets of HCV, the NS3, NS5A and NS5 B proteins. Objective: To develop a next generation sequencing based method that provides genotype and detection of HCV NS3, NS5A, and NS5 B RASs without prior knowledge of sample genotype. Study design: In total, 101 residual plasma samples from patients with HCV covering 10 different viral subtypes across 4 genotypes with viral loads of 3.84-7.61 Log IU/mL were included. All samples were de-identified and consequently prior treatment status for patients was unknown. Almost full open reading frame amplicons (∼ 9 kb) were generated using RT-PCR with a single primer set. The resulting amplicons were sequenced with high throughput sequencing and analysed using an in-house developed script for detecting RASs. Results: The method successfully amplified and sequenced 94% (95/101) of samples with an average coverage of 14,035; four of six failed samples were genotype 4a. Samples analysed twice yielded reproducible nucleotide frequencies across all sites. RASs were detected in 21/95 (22%) samples at a 15% threshold. The method identified one patient infected with two genotype 2b variants, and the presence of subgenomic deletion variants in 8 (8.4%) of 95 successfully sequenced samples. Conclusions: The presented method may provide identification of HCV genotype, RASs detection, and detect multiple HCV infection without prior knowledge of sample genotype.

AB - Background: The current treatment options for hepatitis C virus (HCV), based on direct acting antivirals (DAA), are dependent on virus genotype and previous treatment experience. Treatment failures have been associated with detection of resistance-associated substitutions (RASs) in the DAA targets of HCV, the NS3, NS5A and NS5 B proteins. Objective: To develop a next generation sequencing based method that provides genotype and detection of HCV NS3, NS5A, and NS5 B RASs without prior knowledge of sample genotype. Study design: In total, 101 residual plasma samples from patients with HCV covering 10 different viral subtypes across 4 genotypes with viral loads of 3.84-7.61 Log IU/mL were included. All samples were de-identified and consequently prior treatment status for patients was unknown. Almost full open reading frame amplicons (∼ 9 kb) were generated using RT-PCR with a single primer set. The resulting amplicons were sequenced with high throughput sequencing and analysed using an in-house developed script for detecting RASs. Results: The method successfully amplified and sequenced 94% (95/101) of samples with an average coverage of 14,035; four of six failed samples were genotype 4a. Samples analysed twice yielded reproducible nucleotide frequencies across all sites. RASs were detected in 21/95 (22%) samples at a 15% threshold. The method identified one patient infected with two genotype 2b variants, and the presence of subgenomic deletion variants in 8 (8.4%) of 95 successfully sequenced samples. Conclusions: The presented method may provide identification of HCV genotype, RASs detection, and detect multiple HCV infection without prior knowledge of sample genotype.

KW - Genotyping

KW - NGS

KW - RAS

KW - Replicon

KW - RT-PCR

KW - Subgenome

U2 - 10.1016/j.jcv.2018.05.012

DO - 10.1016/j.jcv.2018.05.012

M3 - Journal article

C2 - 29886373

AN - SCOPUS:85048176830

VL - 105

SP - 49

EP - 56

JO - Journal of Clinical Virology

JF - Journal of Clinical Virology

SN - 1386-6532

ER -

ID: 208879160