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Review
. 2019 May;14(3):173-180.
doi: 10.1097/COH.0000000000000542.

PANGEA-HIV 2: Phylogenetics And Networks for Generalised Epidemics in Africa

Lucie Abeler-Dörner  1 , Mary K Grabowski  2 , Andrew Rambaut  3 , Deenan Pillay  4   5 , Christophe Fraser  1 ; PANGEA consortium
Collaborators, Affiliations
Review

PANGEA-HIV 2: Phylogenetics And Networks for Generalised Epidemics in Africa

Lucie Abeler-Dörner et al. Curr Opin HIV AIDS. 2019 May.

Abstract

Purpose of review: The HIV epidemic in sub-Saharan Africa is far from being under control and the ambitious UNAIDS targets are unlikely to be met by 2020 as declines in per-capita incidence being largely offset by demographic trends. There is an increasing number of proven and specific HIV prevention tools, but little consensus on how best to deploy them.

Recent findings: Traditionally, phylogenetics has been used in HIV research to reconstruct the history of the epidemic and date zoonotic infections, whereas more recent publications focus on HIV diversity and drug resistance. However, it is also the most powerful method of source attribution available for the study of HIV transmission. The PANGEA (Phylogenetics And Networks for Generalized Epidemics in Africa) consortium has generated over 18 000 NGS HIV sequences from five countries in sub-Saharan Africa. Using phylogenetic methods, we will identify characteristics of individuals or groups, which are most likely to be at risk of infection or at risk of infecting others.

Summary: Combining phylogenetics, phylodynamics and epidemiology will allow PANGEA to highlight where prevention efforts should be focussed to reduce the HIV epidemic most effectively. To maximise the public health benefit of the data, PANGEA offers accreditation to external researchers, allowing them to access the data and join the consortium. We also welcome submissions of other HIV sequences from sub-Saharan Africa to the database.

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Figures

Box 1
Box 1
no caption available
FIGURE 1
FIGURE 1
Source–sink model. Different groups in a population may be at high risk of infecting others (source), at high risk of getting infected (sink), or both (hub). Groups can be characterized, for example, by age, sex, geography, occupation, cultural preferences and norms, migrational behaviour, or riskiness of sexual behaviour.
FIGURE 2
FIGURE 2
How to get involved: sequence your samples with PANGEA, contribute existing sequences with metadata or analyse data from the PANGEA database. PANGEA, Phylogenetics And Networks for Generalized Epidemics in Africa.
See this image and copyright information in PMC

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