Genomic epidemiology analysis of infectious disease outbreaks using TransPhylo.
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Published version
Author(s)
Didelot, Xavier
Kendall, Michelle
Xu, Yuanwei
White, Peter J
McCarthy, Noel
Type
Journal Article
Abstract
Comparing the pathogen genomes from several cases of an infectious disease has the potential to help us understand and control outbreaks. Many methods exist to reconstruct a phylogeny from such genomes, which represents how the genomes are related to one another. However, such a phylogeny is not directly informative about transmission events between individuals. TransPhylo is a software tool implemented as an R package designed to bridge the gap between pathogen phylogenies and transmission trees. TransPhylo is based on a combined model of transmission between hosts and pathogen evolution within each host. It can simulate both phylogenies and transmission trees jointly under this combined model. TransPhylo can also reconstruct a transmission tree based on a dated phylogeny, by exploring the space of transmission trees compatible with the phylogeny. A transmission tree can be represented as a coloring of a phylogeny where each color represents a different host of the pathogen, and TransPhylo provides convenient ways to plot these colorings and explore the results. This article presents the basic protocols that can be used to make the most of TransPhylo. © 2021 The Authors. Basic Protocol 1: First steps with TransPhylo Basic Protocol 2: Simulation of outbreak data Basic Protocol 3: Inference of transmission Basic Protocol 4: Exploring the results of inference.
Date Issued
2021-02
Date Acceptance
2021-02-01
Citation
Current Protocols, 2021, 1 (2), pp.1-23
ISSN
2691-1299
Publisher
Wiley
Start Page
1
End Page
23
Journal / Book Title
Current Protocols
Volume
1
Issue
2
Copyright Statement
© 2021 The Authors.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Sponsor
Medical Research Council (MRC)
National Institute for Health Research
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/33617114
Grant Number
MR/R015600/1
NIHR200908
Subjects
genomic epidemiology
infectious disease outbreak
phylogenetics
transmission analysis
Publication Status
Published
Date Publish Online
2021-02-22