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Multi-Laboratory Comparison of Next-Generation to Sanger-Based Sequencing for HIV-1 Drug Resistance Genotyping.
Parkin, Neil T; Avila-Rios, Santiago; Bibby, David F; Brumme, Chanson J; Eshleman, Susan H; Harrigan, P Richard; Howison, Mark; Hunt, Gillian; Ji, Hezhao; Kantor, Rami; Ledwaba, Johanna; Lee, Emma R; Matías-Florentino, Margarita; Mbisa, Jean L; Noguera-Julian, Marc; Paredes, Roger; Rivera-Amill, Vanessa; Swanstrom, Ronald; Zaccaro, Daniel J; Zhang, Yinfeng; Zhou, Shuntai; Jennings, Cheryl.
Afiliação
  • Parkin NT; Data First Consulting, Inc., Sebastopol, CA 95472, USA.
  • Avila-Rios S; Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City 14080, Mexico.
  • Bibby DF; National Infection Service, Public Health England, London NW9 5EQ, UK.
  • Brumme CJ; British Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC V6Z 1Y6, Canada.
  • Eshleman SH; Division of Infectious Diseases, Faculty of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada.
  • Harrigan PR; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Howison M; Division of AIDS, Department of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada.
  • Hunt G; Research Improving People's Lives, Providence, RI 02909, USA.
  • Ji H; National Institute for Communicable Diseases, Johannesburg 2192, South Africa.
  • Kantor R; National HIV and Retrovirology Laboratories at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, Manitoba R3E 3R2, Canada.
  • Ledwaba J; Division of Infectious Diseases, Brown University Alpert Medical School, Providence, RI 02912, USA.
  • Lee ER; National Institute for Communicable Diseases, Johannesburg 2192, South Africa.
  • Matías-Florentino M; National HIV and Retrovirology Laboratories at JC Wilt Infectious Diseases Research Center, Public Health Agency of Canada, Winnipeg, Manitoba R3E 3R2, Canada.
  • Mbisa JL; Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City 14080, Mexico.
  • Noguera-Julian M; National Infection Service, Public Health England, London NW9 5EQ, UK.
  • Paredes R; IrsiCaixa AIDS Research Institute, Badalona, 08916 Catalonia, Spain.
  • Rivera-Amill V; IrsiCaixa AIDS Research Institute, Badalona, 08916 Catalonia, Spain.
  • Swanstrom R; Center for Research Resources-Immunology Reference Laboratory, Ponce Health Sciences University-Ponce Research Institute, Ponce, PR 00716, USA.
  • Zaccaro DJ; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA.
  • Zhang Y; RTI International, Research Triangle Park, NC 27709, USA.
  • Zhou S; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
  • Jennings C; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27514, USA.
Viruses ; 12(7)2020 06 27.
Article em En | MEDLINE | ID: mdl-32605062
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: HIV-1 / Farmacorresistência Viral / Sequenciamento de Nucleotídeos em Larga Escala / Técnicas de Genotipagem / Laboratórios Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: HIV-1 / Farmacorresistência Viral / Sequenciamento de Nucleotídeos em Larga Escala / Técnicas de Genotipagem / Laboratórios Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2020 Tipo de documento: Article