4.4 Review

Defining HIV-1 transmission clusters based on sequence data

期刊

AIDS
卷 31, 期 9, 页码 1211-1222

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/QAD.0000000000001470

关键词

HIV-1; molecular epidemiology; phylogeny; transmission clusters

资金

  1. Swedish Research Council [350-2012-6628, 2016-01417]
  2. Swedish Society for Medical Research
  3. Wellcome Trust [077092, 107752/Z/15/Z]
  4. International AIDS Vaccine Initiative (IAVI)
  5. American people through United States Agency for International Development (USAID)
  6. African Research Excellence Fund (AREF) [MRF-157-0002-F-HASSA]
  7. Sub-Saharan African Network for TB/HIV Research Excellence (SANTHE), a DELTAS Africa Initiative [DEL-15-006]
  8. African Academy of Sciences (AAS)'s Alliance for Accelerating Excellence in Science in Africa (AESA)
  9. New Partnership for Africa's Development Planning and Coordinating Agency (NEPAD Agency)
  10. UK government

向作者/读者索取更多资源

Understanding HIV-1 transmission dynamics is relevant to both screening and intervention strategies of HIV-1 infection. Commonly, HIV-1 transmission chains are determined based on sequence similarity assessed either directly from a sequence alignment or by inferring a phylogenetic tree. This review is aimed at both nonexperts interested in understanding and interpreting studies of HIV-1 transmission, and experts interested in finding the most appropriate cluster definition for a specific dataset and research question. We start by introducing the concepts and methodologies of how HIV-1 transmission clusters usually have been defined. We then present the results of a systematic review of 105 HIV-1 molecular epidemiology studies summarizing the most common methods and definitions in the literature. Finally, we offer our perspectives on how HIV-1 transmission clusters can be defined and provide some guidance based on examples from real life datasets. Copyright (C) 2017 Wolters Kluwer Health, Inc. All rights reserved.

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