Multi-laboratory comparison of next-generation to sanger-based sequencing for HIV-1 drug resistance genotyping

Neil T. Parkin, Santiago Avila-Rios, David F. Bibby, Chanson J. Brumme, Susan H. Eshleman, P. Richard Harrigan, Mark Howison, Gillian Hunt, Hezhao Ji, Rami Kantor, Johanna Ledwaba, Emma R. Lee, Margarita Mat as-Florentino, Jean L. Mbisa, Marc Noguera-Julian, Roger Paredes, Vanessa Rivera-Amill, Ronald Swanstrom, Daniel J. Zaccaro, Yinfeng ZhangShuntai Zhou, Cheryl Jennings

Research output: Contribution to journalArticlepeer-review

Abstract

Next-generation sequencing (NGS) is increasingly used for HIV-1 drug resistance genotyping. NGS methods have the potential for a more sensitive detection of low-abundance variants (LAV) compared to standard Sanger sequencing (SS) methods. A standardized threshold for reporting LAV that generates data comparable to those derived from SS is needed to allow for the comparability of data from laboratories using NGS and SS. Ten HIV-1 specimens were tested in ten laboratories using Illumina MiSeq-based methods. The consensus sequences for each specimen using LAV thresholds of 5%, 10%, 15%, and 20% were compared to each other and to the consensus of the SS sequences (protease 4 99; reverse transcriptase 38 247). The concordance among laboratories sequences at different thresholds was evaluated by pairwise sequence comparisons. NGS sequences generated using the 20% threshold were the most similar to the SS consensus (average 99.6% identity, range 96.1 100%), compared to 15% (99.4%, 88.5 100%), 10% (99.2%, 87.4 100%) or 5% (98.5%, 86.4 100%). The average sequence identity between laboratories using thresholds of 20%, 15%, 10%, and 5% was 99.1%, 98.7%, 98.3%, and 97.3%, respectively. Using the 20% threshold we observed an excellent agreement between NGS and SS, but significant differences at lower thresholds. Understanding how variation in NGS methods influences sequence quality is essential for NGS-based HIV-1 drug resistance genotyping.

Original languageEnglish (US)
Article number694
JournalViruses
Volume12
Issue number7
DOIs
StatePublished - Jul 2020

Keywords

  • Drug Resistance
  • Genotyping
  • HIV-1
  • NGS

ASJC Scopus subject areas

  • Infectious Diseases
  • Virology

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