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Updated: Jan 22, 2026

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
Published on: December 27, 2010
HIV-1 Transmission Patterns in Men Who Have Sex with Men: Insights from Genetic Source Attribution Analysis
Stéphane Le Vu1, Oliver Ratmann2, Valerie Delpech3
1Department of Infectious Disease Epidemiology, National Institute for Health Research Health Protection Research Unit on Modeling Methodology, Imperial College London, London, United Kingdom.
Abstract:
Near 60% of new HIV infections in the United Kingdom are estimated to occur in men who have sex with men (MSM). Age-disassortative partnerships in MSM have been suggested to spread the HIV epidemics in many Western developed countries and to contribute to ethnic disparities in infection rates. Understanding these mixing patterns in transmission can help to determine which groups are at a greater risk and guide public health interventions. We analyzed combined epidemiological data and viral sequences from MSM diagnosed with HIV at the national level. We applied a phylodynamic source attribution model to infer patterns of transmission between groups of patients. From pair probabilities of transmission between 14,603 MSM patients, we found that potential transmitters of HIV subtype B were on average 8 months older than recipients. We also found a moderate overall assortativity of transmission by ethnic group and a stronger assortativity by region. Our findings suggest that there is only a modest net flow of transmissions from older to young MSM in subtype B epidemics and that young MSM, both for Black or White groups, are more likely to be infected by one another than expected in a sexual network with random mixing.
Insights
Understanding HIV transmission among men who have sex with men (MSM) is crucial. Young MSM, regardless of ethnicity, are more likely to infect each other, indicating a need for targeted public health interventions.
Area of Science:
- Epidemiology
- Virology
- Public Health
Background:
- Men who have sex with men (MSM) account for a significant proportion of new HIV infections in the UK.
- Age-disassortative partnerships in MSM are implicated in HIV epidemic spread and ethnic disparities.
- Understanding sexual mixing patterns is vital for risk assessment and intervention strategies.
Purpose of the Study:
- To analyze transmission patterns within the MSM population using epidemiological and viral sequence data.
- To infer transmission dynamics and identify at-risk groups for HIV infection among MSM.
- To investigate the role of age, ethnicity, and region in HIV transmission networks.
Main Methods:
- Phylodynamic source attribution modeling was applied to national-level HIV data.
- Analysis included epidemiological data and viral sequences from 14,603 MSM patients diagnosed with HIV.
- Transmission probabilities between patient pairs were calculated to infer mixing patterns.
Main Results:
- Potential transmitters of HIV subtype B were, on average, 8 months older than recipients.
- Moderate assortativity of transmission was observed by ethnic group, with stronger assortativity by region.
- Young MSM, across ethnic groups (Black and White), showed higher within-group transmission than random mixing would suggest.
Conclusions:
- HIV transmission among MSM in the UK exhibits modest age-assortative mixing, with a limited net flow from older to younger individuals.
- Sexual mixing patterns among young MSM, irrespective of ethnicity, contribute significantly to HIV transmission.
- Findings highlight the importance of considering within-group transmission dynamics for effective HIV prevention in MSM populations.
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