Persistence of HIV Transmission Clusters Among People Who Inject Drugs
Overview
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Objective: We investigated the duration of HIV transmission clusters.
Design: Fifty-four individuals newly infected at enrollment in the ALIVE cohort were included, all of whom had sequences at an intake visit (T1) and from a second (T2) and/or a third (T3) follow-up visit, median 2.9 and 5.4 years later, respectively.
Methods: Sequences were generated using the 454 DNA sequencing platform for portions of HIV pol and env (HXB2 positions 2717-3230; 7941-8264). Genetic distances were calculated using tn93 and sequences were clustered over a range of thresholds (1--5%) using HIV-TRACE. Analyses were performed separately for individuals with pol sequences for T1 + T2 (n = 40, 'Set 1') and T1 + T3 (n = 25; 'Set 2'), and env sequences for T1 + T2 (n = 47, 'Set 1'), and T1 + T3 (n = 30; 'Set 2').
Results: For pol, with one exception, a single cluster contained more than 75% of samples at all thresholds, and cluster composition was at least 90% concordant between time points/thresholds. For env, two major clusters (A and B) were observed at T1 and T2/T3, although cluster composition concordance between time points/thresholds was low (<60%) at lower thresholds for both sets 1 and 2. In addition, several individuals were included in clusters at T2/T3, although not at T1.
Conclusion: Caution should be used in applying a single threshold in population studies where seroconversion dates are unknown. However, the retention of some clusters even after 5 + years is evidence for the robustness of the clustering approach in general.
AUTO-TUNE: selecting the distance threshold for inferring HIV transmission clusters.
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PMID: 39086842 PMC: 11289888. DOI: 10.3389/fbinf.2024.1400003.
AUTO-TUNE: SELECTING THE DISTANCE THRESHOLD FOR INFERRING HIV TRANSMISSION CLUSTERS.
Weaver S, Davila-Conn V, Ji D, Verdonk H, Avila-Rios S, Leigh Brown A bioRxiv. 2024; .
PMID: 38559140 PMC: 10979987. DOI: 10.1101/2024.03.11.584522.
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PMID: 37593123 PMC: 10427497. DOI: 10.46234/ccdcw2023.129.
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PMID: 33503987 PMC: 7911907. DOI: 10.3390/v13020176.