Literature DB >> 35699434

HIV-1 Drug Resistance Assay Using Ion Torrent Next Generation Sequencing and On-Instrument End-to-End Analysis Software.

Michael T Pyne1, Keith E Simmon1, Melanie A Mallory1, Weston C Hymas1, Jeffery Stevenson1, Adam P Barker1,2, David R Hillyard1,2.   

Abstract

HIV-1 antiretroviral therapy management requires sequencing the protease, reverse transcriptase, and integrase portions of the HIV-1 pol gene. Most resistance testing is performed with Sanger sequencing, which has limited ability to detect minor variants. Next generation sequencing (NGS) platforms enable variant detection at frequencies as low as 1% allowing for earlier detection of resistance and modification of therapy. Implementation of NGS assays in the clinical laboratory is hindered by complicated assay design, cumbersome wet bench procedures, and the complexity of data analysis and bioinformatics. We developed a complete NGS protocol and companion analysis and reporting pipeline using AmpliSeq multiplex PCR, Ion Torrent S5 XL sequencing, and Stanford's HIVdb resistance algorithm. Implemented as a Torrent Suite software plugin, the pipeline runs automatically after sequencing. An optimum variant frequency threshold of 10% was determined by comparing Sanger sequences of archived samples from ViroSeq testing, resulting in a sensitivity of 98.2% and specificity of 99.0%. The majority (91%) of drug resistance mutations were detected by both Sanger and NGS, with 1.7% only by Sanger and 7.3% only by NGS. Variant calls were highly reproducible and there was no cross-reactivity to VZV, HBV, CMV, EBV, and HCV. The limit of detection was 500 copies/mL. The NGS assay performance was comparable to ViroSeq Sanger sequencing and has several advantages, including a publicly available end-to-end analysis and reporting plugin. The assay provides a straightforward path for implementation of NGS for HIV drug resistance testing in the laboratory setting without additional investment in bioinformatics infrastructure and resources.

Entities:  

Keywords:  DNA sequencing; antiretroviral resistance; human immunodeficiency virus; susceptibility testing

Mesh:

Year:  2022        PMID: 35699434      PMCID: PMC9297824          DOI: 10.1128/jcm.00253-22

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   11.677


  73 in total

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Authors:  Barry Merriman; Jonathan M Rothberg
Journal:  Electrophoresis       Date:  2012-12       Impact factor: 3.535

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Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

5.  Sensitivity and specificity of the ViroSeq human immunodeficiency virus type 1 (HIV-1) genotyping system for detection of HIV-1 drug resistance mutations by use of an ABI PRISM 3100 genetic analyzer.

Authors:  Susan H Eshleman; Gillian Crutcher; Olga Petrauskene; Kevin Kunstman; Shawn P Cunningham; Christina Trevino; Cheryl Davis; John Kennedy; Jeff Fairman; Brian Foley; Joann Kop
Journal:  J Clin Microbiol       Date:  2005-02       Impact factor: 5.948

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Authors:  Max W Chang; Glenn Oliveira; Jinyun Yuan; Jason F Okulicz; Samuel Levy; Bruce E Torbett
Journal:  J Virol Methods       Date:  2013-02-04       Impact factor: 2.014

7.  Use of the Ion AmpliSeq Cancer Hotspot Panel in clinical molecular pathology laboratories for analysis of solid tumours: With emphasis on validation with relevant single molecular pathology tests and the Oncomine Focus Assay.

Authors:  Ahwon Lee; Sung-Hak Lee; Chan Kwon Jung; Gyungsin Park; Kyo Young Lee; Hyun Joo Choi; Ki Ouk Min; Tae Jung Kim; Eun Jung Lee; Youn Soo Lee
Journal:  Pathol Res Pract       Date:  2018-03-29       Impact factor: 3.250

8.  Evaluation of the Performance of AmpliSeq and SureSelect Exome Sequencing Libraries for Ion Proton.

Authors:  Piyush Gampawar; Yasaman Saba; Ulrike Werner; Reinhold Schmidt; Bertram Müller-Myhsok; Helena Schmidt
Journal:  Front Genet       Date:  2019-09-25       Impact factor: 4.599

9.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

10.  Fact and Fiction about 1%: Next Generation Sequencing and the Detection of Minor Drug Resistant Variants in HIV-1 Populations with and without Unique Molecular Identifiers.

Authors:  Shuntai Zhou; Ronald Swanstrom
Journal:  Viruses       Date:  2020-08-04       Impact factor: 5.048

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