Evidence map›Paper›PMID 31878875›Full record

ArticleBMC evolutionary biology2019

The ability of single genes vs full genomes to resolve time and space in outbreak analysis.

Gytis Dudas, Trevor Bedford

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

38 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  8. Genomic epidemiology of West Nile virus in Europe.One health (Amsterdam, Netherlands) · 2024
    Review
  9. A new lineage nomenclature to aid genomic surveillance of dengue virus.medRxiv : the preprint server for health sciences · 2024
    Article
  10. Article
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  13. Molecular epidemiology identifies the expansion of the DENV2 epidemic lineage from the French Caribbean Islands to French Guiana and mainland France, 2023 to 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. DengueSeq: A pan-serotype whole genome amplicon sequencing protocol for dengue virus.medRxiv : the preprint server for health sciences · 2023
    Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 2 countries.

Gytis DudasFred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, 98109, USA. gytisdudas@gmail.com.ORCID 0000-0002-0227-4158
Trevor BedfordFred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, 98109, USA.
Fred Hutch Cancer Center · US

Funding

Real-time tracking of virus evolution for vaccine strain selection and epidemiological investigationR35GM119774 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2016 to 2025
$4.1M
NIGMS NIH HHS R35 GM119774
6 · The paper itself

Abstract

backgroundInexpensive pathogen genome sequencing has had a transformative effect on the field of phylodynamics, where ever increasing volumes of data have promised real-time insight into outbreaks of infectious disease. As well as the sheer volume of pathogen isolates being sequenced, the sequencing of whole pathogen genomes, rather than select loci, has allowed phylogenetic analyses to be carried out at finer time scales, often approaching serial intervals for infections caused by rapidly evolving RNA viruses. Despite its utility, whole genome sequencing of pathogens has not been adopted universally and targeted sequencing of loci is common in some pathogen-specific fields.

resultsIn this study we highlighted the utility of sequencing whole genomes of pathogens by re-analysing a well-characterised collection of Ebola virus sequences in the form of complete viral genomes (≈19 kb long) or the rapidly evolving glycoprotein (GP, ≈2 kb long) gene. We have quantified changes in phylogenetic, temporal, and spatial inference resolution as a result of this reduction in data and compared these to theoretical expectations.

conclusionsWe propose a simple intuitive metric for quantifying temporal resolution, i.e. the time scale over which sequence data might be informative of various processes as a quick back-of-the-envelope calculation of statistical power available to molecular clock analyses.

Indexed as

Genes, ViralGenome, ViralChromosome MappingDisease OutbreaksEbolavirusHemorrhagic Fever, EbolaHumansMarkov ChainsPhylogenyWhole Genome SequencingEbola virusGenomic epidemiologyPhylogeneticsPhylogeography

Identifiers

PMID31878875
PMCPMC6933756
OpenAlexW2997765640

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.