Automated subtyping of HIV-1 genetic sequences for clinical and surveillance purposes : Performance evaluation of the new REGA version 3 and seven other tools

Background: To investigate differences in pathogenesis, diagnosis and resistance pathways between HIV-1 subtypes, an accurate subtyping tool for large datasets is needed. We aimed to evaluate the performance of automated subtyping tools to classify the different subtypes and circulating recombinant forms using pol, the most sequenced region in clinical practice. We also present the upgraded version 3 of the Rega HIV subtyping tool (REGAv3). Methodology: HIV-1 pol sequences (PR. +. RT) for 4674 patients retrieved from the Portuguese HIV Drug Resistance Database, and 1872 pol sequences trimmed from full-length genomes retrieved from the Los Alamos database were classified with statistical-based tools such as COMET, jpHMM and STAR; similarity-based tools such as NCBI and Stanford; and phylogenetic-based tools such as REGA version 2 (REGAv2), REGAv3, and SCUEAL. The performance of these tools, for pol, and for PR and RT separately, was compared in terms of reproducibility, sensitivity and specificity with respect to the gold standard which was manual phylogenetic analysis of the pol region. Results: The sensitivity and specificity for subtypes B and C was more than 96% for seven tools, but was variable for other subtypes such as A, D, F and G. With regard to the most common circulating recombinant forms (CRFs), the sensitivity and specificity for CRF01_AE was ~99% with statistical-based tools, with phylogenetic-based tools and with Stanford, one of the similarity based tools. CRF02_AG was correctly identified for more than 96% by COMET, REGAv3, Stanford and STAR. All the tools reached a specificity of more than 97% for most of the subtypes and the two main CRFs (CRF01_AE and CRF02_AG). Other CRFs were identified only by COMET, REGAv2, REGAv3, and SCUEAL and with variable sensitivity. When analyzing sequences for PR and RT separately, the performance for PR was generally lower and variable between the tools. Similarity and statistical-based tools were 100% reproducible, but this was lower for phylogenetic-based tools such as REGA (~99%) and SCUEAL (~96%). Conclusions: REGAv3 had an improved performance for subtype B and CRF02_AG compared to REGAv2 and is now able to also identify all epidemiologically relevant CRFs. In general the best performing tools, in alphabetical order, were COMET, jpHMM, REGAv3, and SCUEAL when analyzing pure subtypes in the pol region, and COMET and REGAv3 when analyzing most of the CRFs. Based on this study, we recommend to confirm subtyping with 2 well performing tools, and be cautious with the interpretation of short sequences. © 2013 The Authors.

• Fecha de publicación: 2013
• Institución: Universidad del Rosario
• Repositorio: Repositorio EdocUR - U. Rosario
• Idioma: eng
• OAI Identifier: oai:repository.urosario.edu.co:10336/18729
• Acceso en línea: http://repository.urosario.edu.co/handle/10336/18729
• Palabra clave: Crf; Hiv-1; Phylogenetic Analysis; Sensitivity; Subtypes; Subtyping; Human Immunodeficiency Virus Proteinase; Rna Directed Dna Polymerase; Article; Automation; Cladistics; Computer Program; Controlled Study; Gene Sequence; Human Immunodeficiency Virus 1; Intermethod Comparison; Nonhuman; Phylogeny; Priority Journal; Reproducibility; Sensitivity And Specificity; Statistical Analysis; Structural Gene; Virus Genome; Virus Recombinant; Virus Typing; Human Immunodeficiency Virus 1; Circulating Recombinant Forms; Crf; Crfs; Hiv-1; Lanl; Los Alamos Dataset; Manual Phylogenetic Analysis; Mphy; Nts; Nucleotides; Phylogenetic Analysis; Pr; Protease; Rega Hiv Subtyping Tool Version 2; Rega Hiv Subtyping Tool Version 3; Regav2; Regav3; Reverse Transcriptase; Rt; Sensitivity; Subtypes; Subtyping; Unique Recombinant Forms; Urfs; Cluster Analysis; Computational Biology; Databases, Genetic; Hiv Infections; Hiv-1; Humans; Molecular Typing; Phylogeny; Public Health Surveillance; Reproducibility Of Results; Sensitivity And Specificity; VIH; Patogenicidad; Filogenia
• License: Abierto (Texto Completo)