Algorithm-based prediction of HIV-1 subtype D coreceptor use.
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ABSTRACT:
SUBMITTER: Dina J
PROVIDER: S-EPMC3754628 | biostudies-literature | 2013 Sep
REPOSITORIES: biostudies-literature
Publications
Algorithm-based prediction of HIV-1 subtype D coreceptor use.
Dina Julia J Raymond Stephanie S Maillard Anne A Le Guillou-Guillemette Helene H Rodalec Audrey A Beby-Defaux Agnes A Giraudeau Genevieve G Vallet Sophie S Mourez Thomas T Payan Christopher C Vabret Astrid A Ruffault Annick A Ferre Virginie V Izopet Jacques J Plantier Jean-Christophe JC
Journal of clinical microbiology 20130626 9
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. ...[more]
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