Defining HIV-1 transmission clusters based on sequence data

AIDS. 2017 Jun 1;31(9):1211-1222. doi: 10.1097/QAD.0000000000001470.

Abstract

: 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.

Publication types

  • Review
  • Systematic Review

MeSH terms

  • Cluster Analysis*
  • Genotype
  • HIV Infections / transmission*
  • HIV-1 / classification*
  • HIV-1 / genetics*
  • HIV-1 / isolation & purification
  • Humans
  • Molecular Epidemiology / methods*
  • Sequence Analysis, DNA / methods*