Evidence map›Paper›PMID 30379832›Full record

ArticlePloS one2018

Set-up and validation of mycobacterial interspersed repetitive unit-variable number of tandem repeat (MIRU-VNTR) analysis of Mycobacterium tuberculosis using BioNumerics software.

Mathias Klok Pedersen, Aase Bengaard Andersen, Dorte Bek Folkvardsen, Erik Michael Rasmussen, Erik Svensson, Troels Lillebaek, Philip Supply

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Mathias Klok PedersenInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.ORCID 0000-0002-7469-5963
Aase Bengaard AndersenDepartment of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Dorte Bek FolkvardsenInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.
Erik Michael RasmussenInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.
Erik SvenssonInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.
Troels LillebaekInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.
Philip SupplyUniv. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019-UMR 8204 - CIIL - Centre d'Infection et d'Immunité de Lille, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective was to describe and validate a new and alternative software procedure for 24-locus mycobacterial interspersed repetitive unit-variable number-tandem repeat (MIRU-VNTR) typing of Mycobacterium tuberculosis (Mtb) based on the multipurpose BioNumerics software. DNA from randomly selected isolates of Mtb from two European laboratories, including external control samples for MIRU-VNTR typing, were analysed. Samples were genotyped using the commercial 24-locus VNTR typing kit from GenoScreen. The PCR amplified fragments were separated by capillary electrophoresis. For the subsequent analyses, the currently used software GeneMapper was compared with BioNumerics. The endpoint was the level of concordance when comparing genotyping results obtained from BioNumerics with results obtained from GeneMapper and the ECDC proficiency study reference results. Also, the number of necessary manual standard size corrections and allele assignments in the two different software methods were compared. In total, 272 DNA samples, including the ECDC proficiency panel, were analysed. For all samples, there were 100% concordance of results. For a randomly selected set of 96 samples the numbers of manual corrections needed for size standards were 199 with GeneMapper versus zero for BioNumerics. The numbers of manual corrections for allele assignments were 122 with GeneMapper versus 16 with BioNumerics. In conclusion, we have validated the multipurpose software BioNumerics for standard 24-locus MIRU-VNTR typing and the software shows promising benefits in terms of simplification and minimization of hand-on time.

Indexed as

SoftwareAllelesBacterial Typing TechniquesDNA FingerprintingGenotypeHumansMinisatellite RepeatsMolecular EpidemiologyMycobacterium tuberculosisTuberculosis

Identifiers

PMID30379832
PMCPMC6209162

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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.