Literature DB >> 16081937

Model for assessment of proficiency of human immunodeficiency virus type 1 sequencing-based genotypic antiretroviral assays.

Diana D Huang1, James W Bremer, Donald J Brambilla, Paul E Palumbo, Grace Aldrovandi, Susan Eshleman, Clark Brown, Susan Fiscus, Lisa Frenkel, Hasnah Hamdan, Stephen Hart, Andrea Kovacs, Paul Krogstad, Phillip LaRussa, John Sullivan, Adriana Weinberg, Yu Qi Zhao.   

Abstract

Use of sequencing-based genotyping as a diagnostic assay for human immunodeficiency virus (HIV) antiretroviral resistance is increasing. Periodic evaluation of the proficiency of laboratories performing this assay should be established. It is important to identify components of the assay that influence the generation of reliable sequencing data and that should and can be monitored. A model was developed to determine what parameters were reasonable and feasible for assessing the performance of genotyping assays. Ten laboratories using the genotyping platform, HIV-1 Genotyping System (HGS) v. 1 and software versions 1.1 or 2.0, participated in two rounds of testing. For each round, each group was sent a panel consisting of three clinical samples to sequence in real time. Six months later, seven laboratories using the TRUGENE HIV-1 Genotyping Kit participated in a separate round, working with both panels at the same time. Analysis of the data showed that one main indicator of genotyping proficiency was achievement of > or =98% sequence homology of a sample tested to a group consensus sequence for that sample. A second was concordant identification of codons at sites identified with resistance mutations in the sample, although scoring of these criteria is still undetermined from this study. These criteria are applicable to all sequence-based genotyping platforms and have been used as a baseline for assessing the performance of genotyping for the determination of antiretroviral resistance in our ongoing proficiency program.

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Year:  2005        PMID: 16081937      PMCID: PMC1233968          DOI: 10.1128/JCM.43.8.3963-3970.2005

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  8 in total

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8.  Evaluation of the editing process in human immunodeficiency virus type 1 genotyping.

Authors:  Diana D Huang; Susan H Eshleman; Donald J Brambilla; Paul E Palumbo; James W Bremer
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  8 in total
  8 in total

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Journal:  Viruses       Date:  2020-06-27       Impact factor: 5.048

Review 5.  Application of a Sanger-Based External Quality Assurance Strategy for the Transition of HIV-1 Drug Resistance Assays to Next Generation Sequencing.

Authors:  Cheryl Jennings; Neil T Parkin; Daniel J Zaccaro; Rupert Capina; Paul Sandstrom; Hezhao Ji; Donald J Brambilla; James W Bremer
Journal:  Viruses       Date:  2020-12-17       Impact factor: 5.048

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7.  Deciphering the complex distribution of human immunodeficiency virus type 1 subtypes among different cohorts in Northern Tanzania.

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8.  A comparison of two measures of HIV diversity in multi-assay algorithms for HIV incidence estimation.

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  8 in total

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