Algorithm-based prediction of HIV-1 subtype D coreceptor use - Université d'Angers
Article Dans Une Revue Journal of Clinical Microbiology Année : 2013

Algorithm-based prediction of HIV-1 subtype D coreceptor use

Anne Maillard
  • Fonction : Auteur
Audrey Rodalec
  • Fonction : Auteur
Genevieve Giraudeau
  • Fonction : Auteur

Résumé

We compared the coreceptor tropism-predicting performance of a specific genotypic algorithm for HIV-1 subtype D and that of the geno2pheno algorithm with different cutoffs. The D-specific algorithm and geno2pheno with a false-positivity rate cutoff of 2.5% had the same concordance with the phenotypic determination. The geno2pheno algorithm with a false-positivity rate cutoff of 2.5%, more sensitive but slightly less specific, seems to be an appropriate alternative.

Dates et versions

hal-03269741 , version 1 (24-06-2021)

Identifiants

Citer

Julia Dina, Stephanie Raymond, Anne Maillard, Hélène Le Guillou-Guillemette, Audrey Rodalec, et al.. Algorithm-based prediction of HIV-1 subtype D coreceptor use. Journal of Clinical Microbiology, 2013, 51 (7), pp.3087-3089. ⟨10.1128/JCM.00798-13⟩. ⟨hal-03269741⟩
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