Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time

BACKGROUND: Several decision support systems have been developed to interpret HIV-1 drug resistance genotyping results. This study compares the ability of the most commonly used systems (ANRS, Rega, and Stanford’s HIVdb) to predict virological outcome at 12, 24, and 48 weeks. METHODOLOGY/PRINCIPAL FINDINGS: Included were 3763 treatment-change episodes (TCEs) for which a HIV-1 genotype was […]
Ler mais

RegaDB: Community-driven data management and analysis for infectious diseases

Autores: Alcantara LC, Assel M, Ayouba A, Beheydt G, Boucher C, Camacho RJ, Carvalho AP, Cavaco-Silva J, De Bel A, De Munter P, De Oliveira T, Deforche K, Ferreira F, Grossman Z, Imbrechts S, Kaiser R, Lacor P, Lapadula G, Libin P, Otelea D, Paraschiv S, Peeters M, Ruelle J, Sloot P, Snoeck J, Theys K, Torti C, Van Laethem K, Van Wijngaerden E, Vandamme AM, Wesner S, Zazzi M
Journal: Bioinformatics
Link: http://www.ncbi.nlm.nih.gov/pubmed/23645815

RegaDB is a free and open source data management and analysis environment for infectious diseases. RegaDB allows clinicians to store, manage and analyse patient data, including viral genetic sequences. Moreover, RegaDB provides researchers with a mechanism to collect data in a uniform format and offers them a canvas to make newly developed bioinformatics tools available to clinicians and virologists through a user friendly interface.
Ler mais

Superinfection with drug-resistant HIV is rare and does not contribute substantially to therapy failure in a large European cohort

Autores: Abecasis AB, Assel M, Bartha I, Luca AD, Müller V, Paredes R, Rosi A, Schülter E, Sloot PMA, Sönner-borg A, Svärd J, Torti C, van de Vijver DC, Van Laethem K, Vandamme AM, Zazzi M
Ano de Publicação: 2013
Journal: BMC Infectious Diseases
Link: http://www.biomedcentral.com/1471-2334/13/537/

Superinfection with drug resistant HIV strains could potentially contribute to compromised therapy in patients initially infected with drug-sensitive virus and receiving antiretroviral therapy. To investigate the importance of this potential route to drug resistance, we developed a bioinformatics pipeline to detect superinfection from routinely collected genotyping data, and assessed whether superinfection contributed to increased drug resistance in a large European cohort of viremic, drug treated patients.
Ler mais

Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time

RegaDB: Community-driven data management and analysis for infectious diseases

Superinfection with drug-resistant HIV is rare and does not contribute substantially to therapy failure in a large European cohort

About GHTM

Contacts

Subscribe Newsletter