Evidence map›Paper›PMID 27974561›Full record

ArticleJournal of virology2017

On the Analysis of Intrahost and Interhost Viral Populations: Human Cytomegalovirus as a Case Study of Pitfalls and Expectations.

Nicholas Renzette, Susanne P Pfeifer, Sebastian Matuszewski, Timothy F Kowalik, Jeffrey D Jensen

Abstract read
In one paragraph

Article in Journal of virology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. A consideration of within-host human cytomegalovirus genetic variation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. HCMV Envelope Glycoprotein Diversity Demystified.Frontiers in microbiology · 2019
    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.

Nicholas RenzetteDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Susanne P PfeiferSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Sebastian MatuszewskiSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Timothy F KowalikDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA timothy.kowalik@umassmed.edu jeffrey.d.jensen@asu.edu.
Jeffrey D JensenSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland timothy.kowalik@umassmed.edu jeffrey.d.jensen@asu.edu.

Funding

CMV Vaccines: Reinfection and Antigenic Variation (Vision and auditory screening in infants born to women enrolled in ZIP)R01HD061959 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BRITT, WILLIAM JARVIS, MUSSI-PINHATA, MARISA MARCIA · 2011 to 2023
$5.9M
Acquisition of HCMV from breast milk-correlates of protectionR01AI109001 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BOPPANA, SURESH B · 2014 to 2017
$2.8M
NIAID NIH HHS R01 AI109001NICHD NIH HHS R01 HD061959
6 · The paper itself

Abstract

Intrahost and interhost assessments of viral diversity are often treated as measures of separate and distinct evolutionary processes, with numerous investigations reporting seemingly incompatible results between the two. For example, in human cytomegalovirus, the nucleotide diversity estimates are 10-fold higher for interhost data, while the number of segregating (i.e., polymorphic) sites is 6-fold lower. These results have been interpreted as demonstrating that sampled intrahost variants are strongly deleterious. In reality, however, these observations are fully consistent with standard population genetic expectations. Here, we analyze published intra- and interhost data sets within this framework, utilizing statistical inference tools to quantify the fitness effects of segregating mutations. Further, we utilize population level simulations to clarify expectations under common evolutionary models. Contrary to common claims in the literature, these results suggest that most observed polymorphisms are likely nearly neutral with regard to fitness and that standard population genetic models in fact well predict observed levels of both intra- and interhost variability.

Indexed as

AllelesCytomegalovirusCytomegalovirus InfectionsEvolution, MolecularGene FrequencyGenes, ViralGenetic FitnessHumansModels, GeneticPhylogenyPolymorphism, Genetichuman cytomegalovirusinterhost diversityintrahost diversitypopulation genetics

Identifiers

PMID27974561
PMCPMC5309957

What OpenQuestion holds

Textmetadata
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.