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Comparative analysis of HIV sequences in real time for public health

Comparative analysis of HIV sequences in real time for public health Purpose of review The purpose of this study is to summarize recent advances in public health applications of comparative methods for HIV-1 sequence analysis in real time, including genetic clustering methods. Recent findings Over the past 2 years, several groups have reported the deployment of established genetic clustering methods to guide public health decisions for HIV prevention in ‘near real time’. However, it remains unresolved how well the readouts of comparative methods like clusters translate to events that are actionable for public health. A small number of recent studies have begun to elucidate the linkage between clusters and HIV-1 incidence, whereas others continue to refine and develop new comparative methods for such applications. Summary Although the use of established methods to cluster HIV-1 sequence databases has become a widespread activity, there remains a critical gap between clusters and public health value. aDepartment of Medicine, University of California, San Diego, California, USA bDepartment of Pathology and Laboratory Medicine cDepartment of Microbiology and Immunology, Western University, London, Ontario, Canada Correspondence to Art F.Y. Poon, PhD, Health Sciences Addition 422, Western University, London, ON, Canada. Tel: +1 519 661 2111; e-mail: apoon42@uwo.ca http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Opinion in HIV and Aids Wolters Kluwer Health

Comparative analysis of HIV sequences in real time for public health

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Publisher
Wolters Kluwer Health
ISSN
1746-630X
eISSN
1746-6318
DOI
10.1097/COH.0000000000000539
Publisher site
See Article on Publisher Site

Abstract

Purpose of review The purpose of this study is to summarize recent advances in public health applications of comparative methods for HIV-1 sequence analysis in real time, including genetic clustering methods. Recent findings Over the past 2 years, several groups have reported the deployment of established genetic clustering methods to guide public health decisions for HIV prevention in ‘near real time’. However, it remains unresolved how well the readouts of comparative methods like clusters translate to events that are actionable for public health. A small number of recent studies have begun to elucidate the linkage between clusters and HIV-1 incidence, whereas others continue to refine and develop new comparative methods for such applications. Summary Although the use of established methods to cluster HIV-1 sequence databases has become a widespread activity, there remains a critical gap between clusters and public health value. aDepartment of Medicine, University of California, San Diego, California, USA bDepartment of Pathology and Laboratory Medicine cDepartment of Microbiology and Immunology, Western University, London, Ontario, Canada Correspondence to Art F.Y. Poon, PhD, Health Sciences Addition 422, Western University, London, ON, Canada. Tel: +1 519 661 2111; e-mail: apoon42@uwo.ca

Journal

Current Opinion in HIV and Aids – Wolters Kluwer Health

Published: May 1, 2019

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