Evidence map›Paper›PMID 28151406›Full record

ArticleJournal of clinical microbiology2017

A Simple and Reliable Strategy for BK Virus Subtyping and Subgrouping.

Virginie Morel, Elodie Martin, Catherine François, François Helle, Justine Faucher, Thomas Mourez, Gabriel Choukroun, Gilles Duverlie, Sandrine Castelain, Etienne Brochot

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.0field-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

29 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  6. Article
  7. BK Polyomavirus-associated nephropathy - diagnostic and treatment standard.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Genotypes and Variants of BKPyV in Organ Donors after Brain Death.International journal of molecular sciences · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Virginie MorelDepartment of Virology, Amiens University Medical Center, Amiens, France.
Elodie MartinEA4294 Virology Research Unit, Jules Verne University of Picardie, Amiens, France.
Catherine FrançoisDepartment of Virology, Amiens University Medical Center, Amiens, France.
François HelleEA4294 Virology Research Unit, Jules Verne University of Picardie, Amiens, France.
Justine FaucherDepartment of Nephrology, Amiens University Medical Center, Amiens, France.
Thomas MourezNormandie Université, Normandy, France.
Gabriel ChoukrounDepartment of Nephrology, Amiens University Medical Center, Amiens, France.
Gilles DuverlieDepartment of Virology, Amiens University Medical Center, Amiens, France.
Sandrine CastelainDepartment of Virology, Amiens University Medical Center, Amiens, France.
Etienne BrochotDepartment of Virology, Amiens University Medical Center, Amiens, France etienne.brochot@u-picardie.fr.
Université de Picardie Jules Verne · FRCentre Hospitalier Universitaire Amiens-Picardie · FRUniversité de Rouen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BK virus (BKV)-associated diseases in transplant recipients are an emerging issue. However, identification of the various BK virus subtypes/subgroups is a long and delicate process on the basis of currently available data. Therefore, we wanted to define a simple and effective one-step strategy for characterizing all BK virus strains from the VP1 gene sequence. Based on the analysis of 199 available complete DNA VP1 sequences, phylogenetic trees, alignments, and isolated polymorphisms were used to define an effective strategy for distinguishing the 12 different BK virus subtypes/subgroups. Based on the 12 subtypes identified from the 199 complete BKV VP1 sequences (1,089 bp), 60 mutations that can be used to differentiate these various subtypes/subgroups were identified. Some genomic areas were more variable and comprised mutational hot spots. From a subregion of only 100 bp in the VP1 region (1977 through 2076), we therefore constructed an algorithm that enabled rapid determination of all BKV subtypes/subgroups with 99% agreement (197/199) relative to the complete VP1 sequence. We called this domain of the BK viral genome the BK typing and grouping region (BKTGR). Finally, we validated our viral subtype identification process in a population of 100 transplant recipients with 100% efficiency. The new simpler method of BKV subtyping/subgrouping reported here constitutes a useful tool for future studies that will help us to more clearly understand the impact of BKV subtypes/subgroups on diagnosis, infection, and BK virus-associated diseases.

Indexed as

Genetic VariationGenotypeBK VirusGenotyping TechniquesHumansPolyomavirus InfectionsSequence Analysis, DNATumor Virus InfectionsViral Structural ProteinsViral Structural ProteinsBK virusBK virus strainssubtypingtransplantation

Identifiers

PMID28151406
PMCPMC5377845
OpenAlexW2584555419

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.