Speaker
Description
HIV remains a major public health challenge, with transmission dynamics and the evolution of drug resistance posing significant barriers to effective control. While traditional sequencing methods, such as Sanger sequencing, have been instrumental in studying specific viral regions, they often fail to capture the full genomic diversity within and between hosts. In this study, we analyze 441 patient samples from the ANRS PRIMO French national cohort sequenced using metagenomic approaches, which provide not only complete HIV genomes but also detailed intra-patient variant diversity at each genomic position. This high-resolution dataset enables a deeper understanding of transmission networks, including the directionality of transmission events, through the use of PHYLOSCANNER – a software tool designed for phylogenetic and transmission analysis. Additionally, the dataset facilitates the detection of resistance evolution by identifying and tracking minor variants. To the best of our knowledge, this study represents the first epidemiological analysis of HIV metagenomics data from the French epidemics. Eventually, this better understanding of transmission patterns could help optimise national screening and prevention policies.
| Expedited Notification | No thanks, I do not require Expedited Notification |
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