Literature DB >> 31280593

HIV-1 Transmission Patterns in Men Who Have Sex with Men: Insights from Genetic Source Attribution Analysis.

Stéphane Le Vu1, Oliver Ratmann2, Valerie Delpech3, Alison E Brown3, O Noel Gill3, Anna Tostevin4, David Dunn4, Christophe Fraser5, Erik M Volz1.   

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.

Entities:  

Keywords:  HIV epidemiology; age-mixing; phylodynamics; phylogenetic

Mesh:

Year:  2019        PMID: 31280593      PMCID: PMC6735327          DOI: 10.1089/AID.2018.0236

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  33 in total

1.  Mixing patterns in networks.

Authors:  M E J Newman
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-02-27

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  A major HIV risk factor for young men who have sex with men is sex with older partners.

Authors:  Brian J Coburn; Sally Blower
Journal:  J Acquir Immune Defic Syndr       Date:  2010-06       Impact factor: 3.731

4.  Same race and older partner selection may explain higher HIV prevalence among black men who have sex with men.

Authors:  Mark Berry; H Fisher Raymond; Willi McFarland
Journal:  AIDS       Date:  2007-11-12       Impact factor: 4.177

5.  Sexual mixing and HIV risk among ethnic minority MSM in Britain.

Authors:  Rita Doerner; Eamonn McKeown; Simon Nelson; Jane Anderson; Nicola Low; Jonathan Elford
Journal:  AIDS Behav       Date:  2012-10

Review 6.  Comparisons of disparities and risks of HIV infection in black and other men who have sex with men in Canada, UK, and USA: a meta-analysis.

Authors:  Gregorio A Millett; John L Peterson; Stephen A Flores; Trevor A Hart; William L Jeffries; Patrick A Wilson; Sean B Rourke; Charles M Heilig; Jonathan Elford; Kevin A Fenton; Robert S Remis
Journal:  Lancet       Date:  2012-07-20       Impact factor: 79.321

7.  MAFFT multiple sequence alignment software version 7: improvements in performance and usability.

Authors:  Kazutaka Katoh; Daron M Standley
Journal:  Mol Biol Evol       Date:  2013-01-16       Impact factor: 16.240

8.  Sexual partner's age as a risk factor for HIV seroconversion in a cohort of HIV-negative homosexual men in Sydney.

Authors:  Fengyi Jin; Andrew E Grulich; Limin Mao; Iryna Zablotska; Matthew O'Dwyer; Mary Poynten; Garrett P Prestage
Journal:  AIDS Behav       Date:  2013-09

9.  Sex with older partners is associated with primary HIV infection among men who have sex with men in North Carolina.

Authors:  Christopher B Hurt; Derrick D Matthews; Molly S Calabria; Kelly A Green; Adaora A Adimora; Carol E Golin; Lisa B Hightow-Weidman
Journal:  J Acquir Immune Defic Syndr       Date:  2010-06       Impact factor: 3.731

10.  Simple epidemiological dynamics explain phylogenetic clustering of HIV from patients with recent infection.

Authors:  Erik M Volz; James S Koopman; Melissa J Ward; Andrew Leigh Brown; Simon D W Frost
Journal:  PLoS Comput Biol       Date:  2012-06-28       Impact factor: 4.475

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