Evidence map›Paper›PMID 33617114›Full record

ArticleCurrent protocols2021

Genomic Epidemiology Analysis of Infectious Disease Outbreaks Using TransPhylo.

Xavier Didelot, Michelle Kendall, Yuanwei Xu, Peter J White, Noel McCarthy

Erratum issuedAbstract read
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

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  9. Uncovering heterogeneous intercommunity disease transmission from neutral allele frequency time series.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Xavier DidelotSchool of Life Sciences and Department of Statistics, University of Warwick, United Kingdom.
Michelle KendallSchool of Life Sciences and Department of Statistics, University of Warwick, United Kingdom.
Yuanwei XuCenter for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, United Kingdom.
Peter J WhiteDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, United Kingdom.
Noel McCarthyWarwick Medical School, University of Warwick, United Kingdom.

Funding

Medical Research Council MR/N010760/1Medical Research Council MR/R015600/1National Institute for Health Research NIHR200892
6 · The paper itself

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.

Indexed as

AlgorithmsCommunicable DiseasesDisease OutbreaksGenomicsHumansSoftwaregenomic epidemiologyinfectious disease outbreakphylogeneticstransmission analysis

Identifiers

PMID33617114
PMCPMC7995038

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.