ArticleJournal of acquired immune deficiency syndromes (1999)2003
HIV-1 protease and reverse transcriptase mutation patterns responsible for discordances between genotypic drug resistance interpretation algorithms.
Article in Journal of acquired immune deficiency syndromes (1999), 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment.Journal of medical systems · 2022Article
- HIV Resistance Prediction to Reverse Transcriptase Inhibitors: Focus on Open Data.Molecules (Basel, Switzerland) · 2018Review
- Improving fold resistance prediction of HIV-1 against protease and reverse transcriptase inhibitors using artificial neural networks.BMC bioinformatics · 2017Article
- A cell-free enzymatic activity assay for the evaluation of HIV-1 drug resistance to protease inhibitors.Frontiers in microbiology · 2015Article
- Scoring methods for building genotypic scores: an application to didanosine resistance in a large derivation set.PloS one · 2013Article
- HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation.JMIR research protocols · 2012Article
- Investigation of Super Learner Methodology on HIV-1 Small Sample: Application on Jaguar Trial Data.AIDS research and treatment · 2012Article
- Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time.PloS one · 2010Article
- Predicting tipranavir and darunavir resistance using genotypic, phenotypic, and virtual phenotypic resistance patterns: an independent cohort analysis of clinical isolates highly resistant to all other protease inhibitors.Antimicrobial agents and chemotherapy · 2010Article
- Detecting and understanding combinatorial mutation patterns responsible for HIV drug resistance.Proceedings of the National Academy of Sciences of the United States of America · 2010Article
- Transmitted drug resistance in nonsubtype B HIV-1 infection.HIV therapy · 2009Article
- TREAT Asia Quality Assessment Scheme (TAQAS) to standardize the outcome of HIV genotypic resistance testing in a group of Asian laboratories.Journal of virological methods · 2009Article
- HIV-1 protease function and structure studies with the simplicial neighborhood analysis of protein packing method.Proteins · 2008Article
- Web resources for HIV type 1 genotypic-resistance test interpretation.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2006Article
- Discordances between interpretation algorithms for genotypic resistance to protease and reverse transcriptase inhibitors of human immunodeficiency virus are subtype dependent.Antimicrobial agents and chemotherapy · 2006Article
- Genotypic and phenotypic resistance testing of HIV-1 in routine clinical care.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2005Article
- The HIV-1 Non-subtype B Workgroup: An International Collaboration for the Collection and Analysis of HIV-1 Non-subtype B Data.Journal of the International AIDS Society · 2005Article
- The HIV-1 Non-subtype B Workgroup: an international collaboration for the collection and analysis of HIV-1 non-subtype B data.MedGenMed : Medscape general medicine · 2005Article
- Use of the l1 norm for selection of sparse parameter sets that accurately predict drug response phenotype from viral genetic sequences.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2005Article
- Algorithm specification interface for human immunodeficiency virus type 1 genotypic interpretation.Journal of clinical microbiology · 2003Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Several rules-based algorithms have been developed to interpret results of HIV-1 genotypic resistance tests. To assess the concordance of these algorithms and to identify sequences causing interalgorithm discordances, we applied four publicly available algorithms to the sequences of isolates from 2,045 individuals in northern California. Drug resistance interpretations were classified as S for susceptible, I for intermediate, and R for resistant. Of 30,675 interpretations (2,045 sequences x 15 drugs), 4.4% were completely discordant, with at least one algorithm assigning an S and another an R; 29.2% were partially discordant, with at least one algorithm assigning an S and another an I, or at least one algorithm assigning an I and another an R; and 66.4% displayed complete concordance, with all four algorithms assigning the same interpretation. Discordances between nucleoside reverse transcriptase inhibitor interpretations usually resulted from several simple, frequently occurring mutational patterns. Discordances between protease inhibitor interpretations resulted from a larger number of more complex mutation patterns. Discordances between nonnucleoside reverse transcriptase inhibitor interpretations were uncommon and resulted from a small number of individual drug resistance mutations. Determining the clinical significance of these mutation patterns responsible for interalgorithm discordances will improve interalgorithm concordance and the accuracy of genotypic resistance interpretation.
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