Evidence map›Paper›PMID 18836013›Full record

ArticleApplied and environmental microbiology2008

Inferences about the global population structures of Cryptosporidium parvum and Cryptosporidium hominis.

Sultan Tanriverdi, Alex Grinberg, Rachel M Chalmers, Paul R Hunter, Zorana Petrovic, Donna E Akiyoshi, Eric London, Linghui Zhang, Saul Tzipori, James K Tumwine and 1 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

37 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Validation of a multilocus genotyping scheme for subtypingFood and waterborne parasitology · 2022
    Article
  8. Challenges forGenes · 2021
    Review
  9. Transmission of Cryptosporidium Species Among Human and Animal Local Contact Networks in Sub-Saharan Africa: A Multicountry Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  10. Article
  11. Review
  12. Review
  13. Direct Sequencing ofFrontiers in public health · 2019
    Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Towards a consensus on genotyping schemes for surveillance and outbreak investigations of Cryptosporidium, Berlin, June 2016.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2016
    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

11 authors at 6 institutions in 5 countries.

Sultan TanriverdiTufts Cummings School of Veterinary Medicine, Division of Infectious Diseases, North Grafton, MA 01536, USA.
Alex Grinberg
Rachel M Chalmers
Paul R Hunter
Zorana Petrovic
Donna E Akiyoshi
Eric London
Linghui Zhang
Saul Tzipori
James K Tumwine
Giovanni Widmer
New England Disabled Sports · USMakerere University · UGMassey University · NZSingleton Hospital · GBUniversity of Belgrade · RSUniversity of East Anglia · GB

Funding

Genetics of Cryptosporidium parvumR01AI052781 · NIAID · TUFTS UNIVERSITY BOSTON · PI WIDMER, GIOVANNI · 2002 to 2010
$1.8M
Genetics of Cryptosporidium parvumR56AI052781 · NIAID · TUFTS UNIVERSITY BOSTON · PI WIDMER, GIOVANNI · 2008 to 2008
$293k
NIAID NIH HHS AI052781NIAID NIH HHS R01 AI052781NIAID NIH HHS R56 AI052781
6 · The paper itself

Abstract

Cryptosporidium parvum and Cryptosporidium hominis are two related species of apicomplexan protozoa responsible for the majority of human cases of cryptosporidiosis. In spite of their considerable public health impact, little is known about the population structures of these species. In this study, a battery of C. parvum and C. hominis isolates from seven countries was genotyped using a nine-locus DNA subtyping scheme. To assess the existence of geographical partitions, the multilocus genotype data were mined using a cluster analysis based on the nearest-neighbor principle. Within each country, the population genetic structures were explored by combining diversity statistical tests, linkage disequilibrium, and eBURST analysis. For both parasite species, a quasi-complete phylogenetic segregation was observed among the countries. Cluster analysis accurately identified recently introduced isolates. Rather than conforming to a strict paradigm of either a clonal or a panmictic population structure, data are consistent with a flexible reproductive strategy characterized by the cooccurrence of both propagation patterns. The relative contribution of each pattern appears to vary between the regions, perhaps dependent on the prevailing ecological determinants of transmission.

Indexed as

AnimalsCluster AnalysisCryptosporidiosisCryptosporidiumDNA FingerprintingDNA, ProtozoanGenotypeGeographyHumansMicrosatellite RepeatsPhylogenyPolymorphism, Restriction Fragment LengthDNA, Protozoan

Identifiers

PMID18836013
PMCPMC2592928
OpenAlexW2114901606

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.