Evidence map›Paper›PMID 32511081›Full record

ReviewAnnual review of virology2020

Within-Host Viral Diversity: A Window into Viral Evolution.

Adam S Lauring

Abstract readReview
In one paragraph

Review in Annual review of virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
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  5. Review
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  7. bronko: ultrafast, alignment-free detection of viral genome variation.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
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  14. A binary trait model reveals the fitness effects of HIV-1 escape from T cell responses.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. Dispersal of influenza virus populations within the respiratory tract shapes their evolutionary potential.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Article

4 more citing papers are in PubMed but not listed here.

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

1 author.

Adam S LauringDivision of Infectious Diseases, Department of Internal Medicine, and Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan 48109, USA; email: alauring@med.umich.edu.

Funding

Fidelity, robustness, and diversity in RNA virus evolution and pathogenesisR01AI118886 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAURING, ADAM · 2016 to 2020
$2.0M
NIAID NIH HHS R01 AI118886
6 · The paper itself

Abstract

The evolutionary dynamics of a virus can differ within hosts and across populations. Studies of within-host evolution provide an important link between experimental studies of virus evolution and large-scale phylodynamic analyses. They can determine the extent to which global processes are recapitulated on local scales and how accurately experimental infections model natural ones. They may also inform epidemiologic models of disease spread and reveal how host-level dynamics contribute to a virus's evolution at a larger scale. Over the last decade, advances in viral sequencing have enabled detailed studies of viral genetic diversity within hosts. I review how within-host diversity is sampled, measured, and expressed, and how comparative studies of viral diversity can be leveraged to elucidate a virus's evolutionary dynamics. These concepts are illustrated with detailed reviews of recent research on the within-host evolution of influenza virus, dengue virus, and cytomegalovirus.

Indexed as

Evolution, MolecularGenetic VariationHost-Pathogen InteractionsCytomegalovirusDengue VirusHumansInfluenza A virusVirusesdiversityevolutionmodelsquasispeciessequencing

Identifiers

PMID32511081
PMCPMC10150642

What OpenQuestion holds

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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.