Evidence map›Paper›PMID 17057244›Full record

ArticleGenetics2006

A population genetics pedigree perspective on the transmission of Helicobacter pylori.

Wayne Delport, Michael Cunningham, Brenda Olivier, Oliver Preisig, Schalk W van der Merwe

Abstract read
In one paragraph

Article in Genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Genomic evolution and transmission of Helicobacter pylori in two South African families.Proceedings of the National Academy of Sciences of the United States of America · 2013
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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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.

Wayne DelportDST-NRF Centre of Excellence at the Percy FitzPatrick Institute, Molecular Ecology and Evolution Programme, Department of Genetics, University of Pretoria, South Africa.
Michael Cunningham
Brenda Olivier
Oliver Preisig
Schalk W van der Merwe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inference of transmission pathways for medicinally important bacteria is important to our understanding of pathogens. Here we report analyses of transmission in Helicobacter pylori, a major carcinogen. Our study is novel in that the focal community comprises detailed family pedigrees and has a high prevalence of H. pylori. To infer transmission, we performed high-resolution analyses of nucleotide sequences for three genes and accounted for the occurrence of mutation and recombination through the use of simulation modeling. Our results demonstrate that transmission has a strong nonfamilial component potentially the result of a large proportion of infections derived from the community. These results are interesting from both a medical and an evolutionary standpoint. First, efficient control measures and beliefs about the sources of H. pylori infection should be reevaluated. Evolutionarily, our results contradict the hypothesis of strict vertical transmission, presented as an explanation for the strong correlation between human population history and H. pylori diversity. Thus the paradox of persistent phylogenetic structure, despite a permissive mode of transmission and high recombination rates, must be solved elsewhere. Here we consider the potential for recombination events to maintain genetic structure in light of horizontal transmission.

Indexed as

Genetics, PopulationDisease Transmission, InfectiousDNA, ViralFemaleHelicobacter InfectionsHelicobacter pyloriHumansMaleMolecular Sequence DataPedigreeDNA, Viral

Identifiers

PMID17057244
PMCPMC1698626

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.