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Comparison of Different HIV-1 Resistance Interpretation Tools for Next-Generation Sequencing in Italy.

Authors :
Armenia, Daniele
Carioti, Luca
Micheli, Valeria
Bon, Isabella
Allice, Tiziano
Bonura, Celestino
Bruzzone, Bianca
Bracchitta, Fiorenza
Cerutti, Francesco
Giammanco, Giovanni Maurizio
Stefanelli, Federica
Bonifacio, Maria Addolorata
Bertoli, Ada
Vatteroni, Marialinda
Ibba, Gabriele
Novazzi, Federica
Lipsi, Maria Rosaria
Cuomo, Nunzia
Vicenti, Ilaria
Ceccherini-Silberstein, Francesca
Source :
Viruses (1999-4915); Sep2024, Vol. 16 Issue 9, p1422, 14p
Publication Year :
2024

Abstract

Background: Next-generation sequencing (NGS) is gradually replacing Sanger sequencing for HIV genotypic drug resistance testing (GRT). This work evaluated the concordance among different NGS-GRT interpretation tools in a real-life setting. Methods: Routine NGS-GRT data were generated from viral RNA at 11 Italian laboratories with the AD4SEQ HIV-1 Solution v2 commercial kit. NGS results were interpreted by the SmartVir system provided by the kit and by two online tools (HyDRA Web and Stanford HIVdb). NGS-GRT was considered valid when the coverage was >100 reads (100×) at each PR/RT/IN resistance-associated position listed in the HIVdb 9.5.1 algorithm. Results: Among 629 NGS-GRT, 75.2%, 74.2%, and 70.9% were valid according to SmartVir, HyDRA Web, and HIVdb. Considering at least two interpretation tools, 463 (73.6%) NGS-GRT had a valid coverage for resistance analyses. The proportion of valid samples was affected by viremia <10,000–1000 copies/mL and non-B subtypes. Mutations at an NGS frequency >10% showed fair concordance among different interpretation tools. Conclusion: This Italian survey on NGS resistance testing suggests that viremia levels and HIV subtype affect NGS-GRT coverage. Within the current routine method for NGS-GRT, only mutations with frequency >10% seem reliably detected across different interpretation tools. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19994915
Volume :
16
Issue :
9
Database :
Complementary Index
Journal :
Viruses (1999-4915)
Publication Type :
Academic Journal
Accession number :
179964909
Full Text :
https://doi.org/10.3390/v16091422