Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing

External quality assessment (EQA) is a keystone element in the validation and implementation of next generation sequencing (NGS)-based HIV drug resistance testing (DRT). Software validation and evaluation is a critical element in NGS EQA programs. While the development, sharing, and adoption of wet...

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Main Authors: Marc Noguera-Julian, Emma R. Lee, Robert W. Shafer, Rami Kantor, Hezhao Ji
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/12/6/666
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author Marc Noguera-Julian
Emma R. Lee
Robert W. Shafer
Rami Kantor
Hezhao Ji
author_facet Marc Noguera-Julian
Emma R. Lee
Robert W. Shafer
Rami Kantor
Hezhao Ji
author_sort Marc Noguera-Julian
collection DOAJ
description External quality assessment (EQA) is a keystone element in the validation and implementation of next generation sequencing (NGS)-based HIV drug resistance testing (DRT). Software validation and evaluation is a critical element in NGS EQA programs. While the development, sharing, and adoption of wet lab protocols is coupled with the increasing access to NGS technology worldwide, rendering it easy to produce NGS data for HIV-DRT, bioinformatic data analysis remains a bottleneck for most of the diagnostic laboratories. Several computational tools have been made available, via free or commercial sources, to automate the conversion of raw NGS data into an actionable clinical report. Although different software platforms yield equivalent results when identical raw NGS datasets are analyzed for variations at higher abundance, discrepancies arise when variations at lower frequencies are considered. This implies that validation and performance assessment of the bioinformatics tools applied in NGS HIV-DRT is critical, and the origins of the observed discrepancies should be determined. Well-characterized reference NGS datasets with ground truth on the genotype composition at all examined loci and the exact frequencies of HIV variations they may harbor, so-called dry panels, would be essential in such cases. The strategic design and construction of such panels are challenging but imperative tasks in support of EQA programs for NGS-based HIV-DRT and the validation of relevant bioinformatics tools. Here, we present criteria that can guide the design of such dry panels, which were discussed in the Second International Winnipeg Symposium themed for EQA strategies for NGS HIVDR assays.
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spelling doaj.art-e4792d5c500545478ab8c96bdc273a942023-11-20T04:27:01ZengMDPI AGViruses1999-49152020-06-0112666610.3390/v12060666Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance TestingMarc Noguera-Julian0Emma R. Lee1Robert W. Shafer2Rami Kantor3Hezhao Ji4IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, s/n, Catalonia, 08196 Badalona, SpainNational HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, CanadaStanford University Medical School, Stanford, CA 94305, USADivision of Infectious Diseases, Brown University Alpert Medical School, Providence, RI 02903, USANational HIV and Retrovirology Laboratories, National Microbiology Laboratory at JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB R3E 3R2, CanadaExternal quality assessment (EQA) is a keystone element in the validation and implementation of next generation sequencing (NGS)-based HIV drug resistance testing (DRT). Software validation and evaluation is a critical element in NGS EQA programs. While the development, sharing, and adoption of wet lab protocols is coupled with the increasing access to NGS technology worldwide, rendering it easy to produce NGS data for HIV-DRT, bioinformatic data analysis remains a bottleneck for most of the diagnostic laboratories. Several computational tools have been made available, via free or commercial sources, to automate the conversion of raw NGS data into an actionable clinical report. Although different software platforms yield equivalent results when identical raw NGS datasets are analyzed for variations at higher abundance, discrepancies arise when variations at lower frequencies are considered. This implies that validation and performance assessment of the bioinformatics tools applied in NGS HIV-DRT is critical, and the origins of the observed discrepancies should be determined. Well-characterized reference NGS datasets with ground truth on the genotype composition at all examined loci and the exact frequencies of HIV variations they may harbor, so-called dry panels, would be essential in such cases. The strategic design and construction of such panels are challenging but imperative tasks in support of EQA programs for NGS-based HIV-DRT and the validation of relevant bioinformatics tools. Here, we present criteria that can guide the design of such dry panels, which were discussed in the Second International Winnipeg Symposium themed for EQA strategies for NGS HIVDR assays.https://www.mdpi.com/1999-4915/12/6/666HIVdrug resistance testingnext generation sequencingexternal quality assessmentdry panel
spellingShingle Marc Noguera-Julian
Emma R. Lee
Robert W. Shafer
Rami Kantor
Hezhao Ji
Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing
Viruses
HIV
drug resistance testing
next generation sequencing
external quality assessment
dry panel
title Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing
title_full Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing
title_fullStr Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing
title_full_unstemmed Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing
title_short Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing
title_sort dry panels supporting external quality assessment programs for next generation sequencing based hiv drug resistance testing
topic HIV
drug resistance testing
next generation sequencing
external quality assessment
dry panel
url https://www.mdpi.com/1999-4915/12/6/666
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