Evidence map›Paper›PMID 34893904›Full record

ArticleSystematic biology2022

Bayesian Inference of Clonal Expansions in a Dated Phylogeny.

David Helekal, Alice Ledda, Erik Volz, David Wyllie, Xavier Didelot

Open access · hybridAbstract read
In one paragraph

Article in Systematic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 18 citations in OpenAlex.

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  11. Microbial genomics · 2024
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  12. Review
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  14. Article
  15. A scalable analytical approach from bacterial genomes to epidemiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

David HelekalCentre for Doctoral Training in Mathematics for Real-World Systems, University of Warwick, Coventry CV47AL, UK.
Alice LeddaHealthcare Associated Infections and Antimicrobial Resistance Division, National Infection Service, Public Health England, London NW95EQ, UK.
Erik VolzDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W21PG, UK.ORCID 0000-0001-6268-8937
David WyllieField Service, East of England, National Infection Service, Public Health England, Cambridge CB20SR, UK.
Xavier DidelotSchool of Life Sciences and Department of Statistics, University of Warwick, Coventry CV47AL, UK.ORCID 0000-0003-1885-500X
Public Health England · GBUniversity of Warwick · GBImperial College London · GB

Funding

Department of HealthMedical Research Council MR/R015600/1
6 · The paper itself

Abstract

Microbial population genetics models often assume that all lineages are constrained by the same population size dynamics over time. However, many neutral and selective events can invalidate this assumption and can contribute to the clonal expansion of a specific lineage relative to the rest of the population. Such differential phylodynamic properties between lineages result in asymmetries and imbalances in phylogenetic trees that are sometimes described informally but which are difficult to analyze formally. To this end, we developed a model of how clonal expansions occur and affect the branching patterns of a phylogeny. We show how the parameters of this model can be inferred from a given dated phylogeny using Bayesian statistics, which allows us to assess the probability that one or more clonal expansion events occurred. For each putative clonal expansion event, we estimate its date of emergence and subsequent phylodynamic trajectory, including its long-term evolutionary potential which is important to determine how much effort should be placed on specific control measures. We demonstrate the applicability of our methodology on simulated and real data sets. Inference under our clonal expansion model can reveal important features in the evolution and epidemiology of infectious disease pathogens. [Clonal expansion; genomic epidemiology; microbial population genomics; phylodynamics.].

Indexed as

Genetics, PopulationGenomicsBayes TheoremPhylogenyProbability

Identifiers

PMID34893904
PMCPMC9366454
OpenAlexW4225522864

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.