Detection of Transmission Clusters of HIV-1 Subtype C over a 21-Year Period in Cape Town, South Africa. PLoS One, 9(10): doi:10.1371/journal.pone.0109296 (2014).

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Title: Detection of Transmission Clusters of HIV-1 Subtype C over a 21-Year Period in Cape Town, South Africa
Authors: Wilkinson E, Engelbrecht S, de Oliveira T.
Journal: PLoS One,9(10):doi:10.1371/journal.pone.0109296 (2014)

Journal Impact Factor (I.F.): 4.441
Number of citations (Google Scholar): 3

Abstract

Introduction

Despite recent breakthroughs in the fight against the HIV/AIDS epidemic within South Africa, the transmission of the virus continues at alarmingly high rates. It is possible, with the use of phylogenetic methods, to uncover transmission events of HIV amongst local communities in order to identify factors that may contribute to the sustained transmission of the virus. The aim of this study was to uncover transmission events of HIV amongst the infected population of Cape Town.

Methods and Results

We analysed gag p24 and RT-pol sequences which were generated from samples spanning over 21-years with advanced phylogenetic techniques. We identified two transmission clusters over a 21-year period amongst randomly sampled patients from Cape Town and the surrounding areas. We also estimated the origin of each of the identified transmission clusters with the oldest cluster dating back, on average, 30 years and the youngest dating back roughly 20 years.

Discussion and Conclusion

These transmission clusters represent the first identified transmission events among the heterosexual population in Cape Town. By increasing the number of randomly sampled specimens within a dataset over time, it is possible to start to uncover transmission events of HIV amongst local communities in generalized epidemics. This information can be used to produce targeted interventions to decrease transmission of HIV in Africa.

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Citation: Wilkinson E, Engelbrecht S, de Oliveira T. Detection of Transmission Clusters of HIV-1 Subtype C over a 21-Year Period in Cape Town, South Africa PLoS One,9(10):doi:10.1371/journal.pone.0109296 (2014).


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KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), K-RITH Tower Building, Nelson R Mandela School of Medicine, UKZN

Contact: Prof. Tulio de Oliveira, Tel: +27 31 260 4898, Email: tuliodna@gmail.com & deoliveira@ukzn.ac.za

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