Literature DB >> 24698843

Comparison of ultra-deep versus Sanger sequencing detection of minority mutations on the HIV-1 drug resistance interpretations after virological failure.

Sofiane Mohamed1, Guillaume Penaranda, Dimitri Gonzalez, Claire Camus, Hacène Khiri, Ronan Boulmé, Chalom Sayada, Patrick Philibert, Daniel Olive, Philippe Halfon.   

Abstract

OBJECTIVE: Drug-resistance mutations are routinely detected using standard Sanger sequencing, which does not detect minor variants with a frequency below 20%. The impact of detecting minor variants generated by ultra-deep sequencing (UDS) on HIV drug-resistance interpretations has not yet been studied.
DESIGN: Fifty HIV-1 patients who experienced virological failure were included in this retrospective study.
METHODS: The HIV-1 UDS protocol allowed the detection and quantification of HIV-1 protease and reverse transcriptase variants related to genotypes A, B, C, F and G. DeepChek-HIV simplified drug-resistance interpretation software was used to compare Sanger sequencing and UDS.
RESULTS: The total time required for the UDS protocol was found to be approximately three times longer than Sanger sequencing with equivalent reagent costs. UDS detected all of the mutations found by population sequencing and identified additional resistance variants in all patients. An analysis of drug resistance revealed a total of 643 and 224 clinically relevant mutations by UDS and Sanger sequencing, respectively. Three resistance mutations with more than 20% prevalence were detected solely by UDS: A98S (23%), E138A (21%) and V179I (25%). A significant difference in the drug-resistance interpretations for 19 antiretroviral drugs was observed between the UDS and Sanger sequencing methods. Y181C and T215Y were the most frequent mutations associated with interpretation differences.
CONCLUSION: A combination of UDS and DeepChek software for the interpretation of drug resistance results would help clinicians provide suitable treatments. A cut-off of 1% allowed a better characterization of the viral population by identifying additional resistance mutations and improving the drug-resistance interpretation.

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Year:  2014        PMID: 24698843     DOI: 10.1097/QAD.0000000000000267

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  24 in total

1.  Multiplex Solid-Phase Melt Curve Analysis for the Point-of-Care Detection of HIV-1 Drug Resistance.

Authors:  Dana S Clutter; Gelareh Mazarei; Ruma Sinha; Justen Manasa; Janin Nouhin; Ellen LaPrade; Sara Bolouki; Philip L Tzou; Jessica Hannita-Hui; Malaya K Sahoo; Peter Kuimelis; Robert G Kuimelis; Benjamin A Pinsky; Gary K Schoolnik; Arjang Hassibi; Robert W Shafer
Journal:  J Mol Diagn       Date:  2019-04-23       Impact factor: 5.568

Review 2.  The Role of HIV-1 Drug-Resistant Minority Variants in Treatment Failure.

Authors:  Natalia Stella-Ascariz; José Ramón Arribas; Roger Paredes; Jonathan Z Li
Journal:  J Infect Dis       Date:  2017-12-01       Impact factor: 5.226

3.  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

4.  Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing.

Authors:  Dario A Dilernia; Jung-Ting Chien; Daniela C Monaco; Michael P S Brown; Zachary Ende; Martin J Deymier; Ling Yue; Ellen E Paxinos; Susan Allen; Alfredo Tirado-Ramos; Eric Hunter
Journal:  Nucleic Acids Res       Date:  2015-06-22       Impact factor: 16.971

5.  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

6.  Ultra-Deep Sequencing Analysis on HIV Drug-Resistance-Associated Mutations Among HIV-Infected Individuals: First Report from the Philippines.

Authors:  Ivo N SahBandar; Genesis Samonte; Elizabeth Telan; Nalyn Siripong; Mahdi Belcaid; David Schanzenbach; Susan Leano; Haorile Chagan-Yasutan; Toshio Hattori; Cecilia M Shikuma; Lishomwa C Ndhlovu
Journal:  AIDS Res Hum Retroviruses       Date:  2017-07-05       Impact factor: 2.205

7.  Impact of Human Immunodeficiency Virus Type 1 Minority Variants on the Virus Response to a Rilpivirine-Based First-line Regimen.

Authors:  Stéphanie Raymond; Florence Nicot; Coralie Pallier; Pantxika Bellecave; Anne Maillard; Mary Anne Trabaud; Laurence Morand-Joubert; Audrey Rodallec; Corinne Amiel; Thomas Mourez; Laurence Bocket; Agnès Beby-Defaux; Magali Bouvier-Alias; Sidonie Lambert-Niclot; Charlotte Charpentier; Brice Malve; Audrey Mirand; Julia Dina; Hélène Le Guillou-Guillemette; Stéphanie Marque-Juillet; Anne Signori-Schmuck; Francis Barin; Ali Si-Mohamed; Véronique Avettand Fenoel; Catherine Roussel; Vincent Calvez; Karine Saune; Anne Geneviève Marcelin; Christophe Rodriguez; Diane Descamps; Jacques Izopet
Journal:  Clin Infect Dis       Date:  2018-05-02       Impact factor: 9.079

8.  Prospective Evaluation of the Vela Diagnostics Next-Generation Sequencing Platform for HIV-1 Genotypic Resistance Testing.

Authors:  Jenna Weber; Ilona Volkova; Malaya K Sahoo; Philip L Tzou; Robert W Shafer; Benjamin A Pinsky
Journal:  J Mol Diagn       Date:  2019-08-02       Impact factor: 5.568

9.  Quantifying Next Generation Sequencing Sample Pre-Processing Bias in HIV-1 Complete Genome Sequencing.

Authors:  Bram Vrancken; Nídia Sequeira Trovão; Guy Baele; Eric van Wijngaerden; Anne-Mieke Vandamme; Kristel van Laethem; Philippe Lemey
Journal:  Viruses       Date:  2016-01-07       Impact factor: 5.048

10.  Longitudinal Detection and Persistence of Minority Drug-Resistant Populations and Their Effect on Salvage Therapy.

Authors:  Masako Nishizawa; Masakazu Matsuda; Junko Hattori; Teiichiro Shiino; Tetsuro Matano; Walid Heneine; Jeffrey A Johnson; Wataru Sugiura
Journal:  PLoS One       Date:  2015-09-11       Impact factor: 3.240

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