Performance of genotypic algorithms for predicting tropism for HIV-1 CRF01_AE recombinant

Soulie, C; Morand-Joubert, L; Cottalorda, J; Charpentier, C; Bellecave, P; Le Guen, L; Yerly Ferrillo, Sabine; Montes, B; Fafi-Kremer, S; Dina, J; Avettand-Fenoel, V; Amiel, C; Roussel, C; Pallier, C; Zafilaza, K; Sayon, S; Signori-Schmuck, A; Mirand, A; Trabaud, M A; Berger, S; Calvez, V; Marcelin, A G

doi:10.1016/j.jcv.2017.12.014

Scientific article

English

Performance of genotypic algorithms for predicting tropism for HIV-1 CRF01_AE recombinant

Published inJournal of clinical virology, vol. 99-100, p. 57-60

Publication date2018

Abstract

There is no consensus about the performances of genotypic rules for predicting HIV-1 non-B subtype tropism. Three genotypic methods were compared for CRF01_AE HIV-1 tropism determination.

Affiliation entities

Faculté de médecine / Section de médecine fondamentale / Département de pathologie et immunologie

Research groups

Groupe Laurent Kaiser (virologie clinique) (668)

Citation (ISO format)

SOULIE, C et al. Performance of genotypic algorithms for predicting tropism for HIV-1 CRF01_AE recombinant. In: Journal of clinical virology, 2018, vol. 99-100, p. 57–60. doi: 10.1016/j.jcv.2017.12.014

Article (Published version)

CC0

Identifiers

PID : unige:110113
DOI : 10.1016/j.jcv.2017.12.014
PMID : 29331843

Journal ISSN1386-6532

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Creation09/04/2018 3:29:00 PM

First validation09/04/2018 3:29:00 PM

Update time03/15/2023 1:09:20 PM

Status update03/15/2023 1:09:18 PM

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Performance of genotypic algorithms for predicting tropism for HIV-1 CRF01_AE recombinant

There is no consensus about the performances of genotypic rules for predicting HIV-1 non-B subtype tropism. Three genotypic methods were compared for CRF01_AE HIV-1 tropism determination.

Technical informations