Evidence map›Paper›PMID 22969423›Full record

ReviewPLoS pathogens2012

Insights from genomics into bacterial pathogen populations.

Daniel J Wilson

Abstract readReview
In one paragraph

Review in PLoS pathogens, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

  1. Pooled it
  2. Coalescent inference for infectious disease: meta-analysis of hepatitis C.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Pooled it
  3. Analysis of soft rotFrontiers in microbiology · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Clonal evolution ofJournal of oral microbiology · 2021
    Article
  9. Article
  10. Phylogenetic Methods for Genome-Wide Association Studies in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  11. Frequency of Antimicrobial Resistance Genes inFrontiers in microbiology · 2020
    Article
  12. Review
  13. Article
  14. Comparative Genomic Analysis ofFrontiers in microbiology · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Small Molecules That Sabotage Bacterial Virulence.Trends in pharmacological sciences · 2017
    Review
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.

Daniel J WilsonWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G0800778PHS HHS 087646/Z/08/ZPHS HHS G0800778Wellcome Trust
6 · The paper itself

Abstract

Bacterial pathogens impose a heavy burden of disease on human populations worldwide. The gravest threats are posed by highly virulent respiratory pathogens, enteric pathogens, and HIV-associated infections. Tuberculosis alone is responsible for the deaths of 1.5 million people annually. Treatment options for bacterial pathogens are being steadily eroded by the evolution and spread of drug resistance. However, population-level whole genome sequencing offers new hope in the fight against pathogenic bacteria. By providing insights into bacterial evolution and disease etiology, these approaches pave the way for novel interventions and therapeutic targets. Sequencing populations of bacteria across the whole genome provides unprecedented resolution to investigate (i) within-host evolution, (ii) transmission history, and (iii) population structure. Moreover, advances in rapid benchtop sequencing herald a new era of real-time genomics in which sequencing and analysis can be deployed within hours in response to rapidly changing public health emergencies. The purpose of this review is to highlight the transformative effect of population genomics on bacteriology, and to consider the prospects for answering abiding questions such as why bacteria cause disease.

Indexed as

AnimalsBacteriaBacterial InfectionsEvolution, MolecularGenome, BacterialGenomicsHost-Pathogen InteractionsHumansModels, BiologicalVirulence

Identifiers

PMID22969423
PMCPMC3435253

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.