Literature DB >> 28590068

Comparison of HIV-1 drug-resistance genotyping by ultra-deep sequencing and sanger sequencing using clinical samples.

Mary-Anne Trabaud1, Vinca Icard1, Christophe Ramière1,2,3,4, Jean-Claude Tardy1, Caroline Scholtes1,2,3,4, Patrice André1,2,3,4.   

Abstract

Sanger population sequencing (SPS) is the reference technique to monitor HIV-1-infected patients' therapy. Ultra-deep sequencing (UDS), which allows quantitative detection of drug resistance mutations, may be an alternative method. The study aimed to compare reproducibility and predictions of UDS versus SPS in a routine setting. A control containing low-abundance variants was repeatedly tested and clinical plasma samples from 100 patients were prospectively assayed by SPS and UDS using the Roche 454 system. Complete analysis by UDS was available for 88% of samples with various viral loads and subtypes. Comparison of detection thresholds found that SPS sensitivity was variable. Variations found by UDS between 5% to >20% were detected by SPS in 25% to more than 80% of samples. At the 5% cut-off, disagreements were rare and in most cases UDS detected an additional protease secondary mutation, suggesting a possible resistance to a protease inhibitor according to the 2015 ANRS algorithm. Mutations found on reverse transcriptase by only UDS were often explained by previous therapy. UDS with a variant detection threshold at 5% might allow therapy management with minimal differences compared to population sequencing while providing additional information for further determination of pertinent cutoff values for specific resistance mutations.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  HIV-1; data management; data visualization; mutations; software tools

Mesh:

Substances:

Year:  2017        PMID: 28590068     DOI: 10.1002/jmv.24872

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  6 in total

1.  Comparison of an In Vitro Diagnostic Next-Generation Sequencing Assay with Sanger Sequencing for HIV-1 Genotypic Resistance Testing.

Authors:  Philip L Tzou; Pramila Ariyaratne; Vici Varghese; Charlie Lee; Elian Rakhmanaliev; Carolin Villy; Meiqi Yee; Kevin Tan; Gerd Michel; Benjamin A Pinsky; Robert W Shafer
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

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

Authors:  Michael T Pyne; Keith E Simmon; Melanie A Mallory; Weston C Hymas; Jeffery Stevenson; Adam P Barker; David R Hillyard
Journal:  J Clin Microbiol       Date:  2022-06-14       Impact factor: 11.677

3.  Increased predominance of HIV-1 CRF01_AE and its recombinants in the Philippines.

Authors:  Yue Chen; Bhavna Hora; Todd DeMarco; Regina Berba; Heidi Register; Sylvia Hood; Meredith Carter; Mars Stone; Andrea Pappas; Ana M Sanchez; Michael Busch; Thomas N Denny; Feng Gao
Journal:  J Gen Virol       Date:  2019-01-24       Impact factor: 3.891

4.  PANDAA intentionally violates conventional qPCR design to enable durable, mismatch-agnostic detection of highly polymorphic pathogens.

Authors:  Iain J MacLeod; Christopher F Rowley; M Essex
Journal:  Commun Biol       Date:  2021-02-18

5.  HIV Drug Resistance Mutations Detection by Next-Generation Sequencing during Antiretroviral Therapy Interruption in China.

Authors:  Miaomiao Li; Shujia Liang; Chao Zhou; Min Chen; Shu Liang; Chunhua Liu; Zhongbao Zuo; Lei Liu; Yi Feng; Chang Song; Hui Xing; Yuhua Ruan; Yiming Shao; Lingjie Liao
Journal:  Pathogens       Date:  2021-02-25

6.  First evaluation of the Next-Generation Sequencing platform for the detection of HIV-1 drug resistance mutations in Belgium.

Authors:  Géraldine Dessilly; Léonie Goeminne; Anne-Thérèse Vandenbroucke; François E Dufrasne; Anandi Martin; Benoît Kabamba-Mukadi
Journal:  PLoS One       Date:  2018-12-31       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.