2010
DOI: 10.1093/infdis/jiq030
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Deep Sequencing to Infer HIV-1 Co-Receptor Usage: Application to Three Clinical Trials of Maraviroc in Treatment-Experienced Patients

Abstract: This large study establishes deep V3 sequencing as a promising tool for identifying treatment-experienced individuals who could benefit from CCR5-antagonist-containing regimens.

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Cited by 142 publications
(153 citation statements)
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“…Most of those studies used 454 sequencing, which was limited by homopolymer errors and relative low throughput compared to the Illumina or IonTorrent platform (25). In these studies, the presence of X4 variants was defined by the detection of Ͼ2% of sequences with FPR values of Ͻ3.5% in the viral population, as seen in the MERIT and MOTIVATE cohort studies (12,13,49). However, the predetermined FPR is arbitrary, and our data show that an FPR of between 2% to 6% can indicate either X4 or R5 variants.…”
Section: Discussionmentioning
confidence: 99%
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“…Most of those studies used 454 sequencing, which was limited by homopolymer errors and relative low throughput compared to the Illumina or IonTorrent platform (25). In these studies, the presence of X4 variants was defined by the detection of Ͼ2% of sequences with FPR values of Ͻ3.5% in the viral population, as seen in the MERIT and MOTIVATE cohort studies (12,13,49). However, the predetermined FPR is arbitrary, and our data show that an FPR of between 2% to 6% can indicate either X4 or R5 variants.…”
Section: Discussionmentioning
confidence: 99%
“…The position-specific scoring matrix (PSSM) analyzes the entire V3 sequence and predicts X4 variants based on a scoring of the probability of the amino acid at each position being overrepresented among X4 sequences versus R5 sequences (10). The Geno2Pheno (G2P) algorithm (11) also analyzes the entire V3 sequence and provides a quantitative score (false-positive rate [FPR]) representing the probability of falsely predicting an R5 variant as an X4 variant; the validity of this approach has been assessed in several clinical trials (12)(13)(14)(15)(16). G2P has been widely used in research and clinical settings, but it requires a preset FPR cutoff to call X4 variants.…”
mentioning
confidence: 99%
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“…Accurate determination of coreceptor usage is therefore necessary to optimize treatment strategies before the initiation of and during therapy with CCR5 inhibitors. Techniques such as deep V3 sequencing may be useful for identifying treatment-experienced individuals who could benefit from CCR5-antagonist-containing regimens [158]. Ongoing improvements in genotypic methodologies and algorithms may eventually render them a viable alternative to phenotypic assays, much like the genotypic resistance methods.…”
Section: In Vivo Resistance: Potential Expansion Of Pre-existing CXCmentioning
confidence: 99%
“…Next-generation sequencing may prove to be the best method of detection, as it is not only sensitive, but can also give a fairly accurate estimation of the percent X4 in a population. 7,8 However, next-generation sequencing is still fairly expensive and handling the data can be onerous. Phenotyping is another option for X4 detection, but many laboratories do not have the facilities or expertise to develop a sensitive culture-based assay, and commercial assays, such as Trofile, are costly.…”
Section: Introductionmentioning
confidence: 99%