ArticleVirus evolution2021
Phylogenetic analysis of HIV-1 shows frequent cross-country transmission and local population expansions.
Article in Virus evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.Research square · 2026Article
- HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.medRxiv : the preprint server for health sciences · 2026Article
- Phylodynamic inference suggests introductions as main driver of Mpox Clade II outbreak in 2022 in Slovenia.Epidemiology and infection · 2025Article
- Comparative Evaluation of Open-Source Bioinformatics Pipelines for Full-Length Viral Genome Assembly.Viruses · 2024Article
- Article
- HIV infection.Nature reviews. Disease primers · 2023Review
- Sociopolitical Diagnostic Tools to Understand National and Local Response Capabilities and Vulnerabilities to Epidemics and Guide Research into How to Improve the Global Response to Pathogens.Pathogens (Basel, Switzerland) · 2023Article
- Deep-sequencing of viral genomes from a large and diverse cohort of treatment-naive HIV-infected persons shows associations between intrahost genetic diversity and viral load.PLoS computational biology · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Understanding of pandemics depends on the characterization of pathogen collections from well-defined and demographically diverse cohorts. Since its emergence in Congo almost a century ago, Human Immunodeficiency Virus Type 1 (HIV-1) has geographically spread and genetically diversified into distinct viral subtypes. Phylogenetic analysis can be used to reconstruct the ancestry of the virus to better understand the origin and distribution of subtypes. We sequenced two 3.6-kb amplicons of HIV-1 genomes from 3,197 participants in a clinical trial with consistent and uniform sampling at sites across 35 countries and analyzed our data with another 2,632 genomes that comprehensively reflect the HIV-1 genetic diversity. We used maximum likelihood phylogenetic analysis coupled with geographical information to infer the state of ancestors. The majority of our sequenced genomes (
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Registered trials
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