Evidence map›Paper›PMID 24874208›Full record

ArticleMolecular biology and evolution2014

Timing and order of transmission events is not directly reflected in a pathogen phylogeny.

Ethan Romero-Severson, Helena Skar, Ingo Bulla, Jan Albert, Thomas Leitner

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
–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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. ComparingEpidemiology and infection · 2023
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  15. Dynamics and Dispersal of Local Human Immunodeficiency Virus Epidemics Within San Diego and Across the San Diego-Tijuana Border.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  16. Article
  17. Bayesian reconstruction of transmission trees from genetic sequences and uncertain infection times.Statistical applications in genetics and molecular biology · 2020
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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.

Ethan Romero-SeversonTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM.
Helena SkarTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM.
Ingo BullaTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM.
Jan AlbertDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, SwedenDepartment of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden.
Thomas LeitnerTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM tkl@lanl.gov.

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
NIAID NIH HHS R01 AI087520NIAID NIH HHS R01AI087520
6 · The paper itself

Abstract

Pathogen phylogenies are often used to infer spread among hosts. There is, however, not an exact match between the pathogen phylogeny and the host transmission history. Here, we examine in detail the limitations of this relationship. First, all splits in a pathogen phylogeny of more than 1 host occur within hosts, not at the moment of transmission, predating the transmission events as described by the pretransmission interval. Second, the order in which nodes in a phylogeny occur may be reflective of the within-host dynamics rather than epidemiologic relationships. To investigate these phenomena, motivated by within-host diversity patterns, we developed a two-phase coalescent model that includes a transmission bottleneck followed by linear outgrowth to a maximum population size followed by either stabilization or decline of the population. The model predicts that the pretransmission interval shrinks compared with predictions based on constant population size or a simple transmission bottleneck. Because lineages coalesce faster in a small population, the probability of a pathogen phylogeny to resemble the transmission history depends on when after infection a donor transmits to a new host. We also show that the probability of inferring the incorrect order of multiple transmissions from the same host is high. Finally, we compare time of HIV-1 infection informed by genetic distances in phylogenies to independent biomarker data, and show that, indeed, the pretransmission interval biases phylogeny-based estimates of when transmissions occurred. We describe situations where caution is needed not to misinterpret which parts of a phylogeny that may indicate outbreaks and tight transmission clusters.

Indexed as

Computational BiologyHIV-1HIV InfectionsHumansModels, TheoreticalPhylogenyPopulation DensitycoalescentHIVmolecular epidemiologyphylodynamicstransmission reconstructionwithin-host dynamics

Identifiers

PMID24874208
PMCPMC4137707

What OpenQuestion holds

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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.