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AIDS (London, England)
06 01, 2017;31 (9): 1211-1222.

Defining HIV-1 transmission clusters based on sequence data.

Amin S Hassan, Oliver G Pybus, Eduard J Sanders, Jan Albert, Joakim Esbjörnsson
Author Information
  1. Amin S Hassan: aKEMRI-Wellcome Trust Research Programme, Centre for Geographic Medicine Research (Coast), Kilifi, Kenya bDepartment of Laboratory Medicine, Lund University, Lund, Sweden cDepartment of Zoology dNuffield Department of Medicine, University of Oxford, Oxford, UK eDepartment of Clinical Microbiology, Karolinska University Hospital fDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden.
PMID: 28353537 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.

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Grants

  1. 107752/Z/15/Z/Wellcome Trust

MeSH Term

Cluster Analysis
Genotype
HIV Infections
HIV-1
Humans
Molecular Epidemiology
Sequence Analysis, DNA
Journal Article Review Systematic Review
Article has an altmetric score of 3

Word Cloud

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