Evidence map›Paper›PMID 23965170›Full record

ArticleBMC bioinformatics2013

The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants.

Annette Block, Frédéric Debode, Lutz Grohmann, Julie Hulin, Isabel Taverniers, Linda Kluga, Elodie Barbau-Piednoir, Sylvia Broeders, Ingrid Huber, Marc Van den Bulcke and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.8field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. A simple and accurate PCR method for detection of genetically modified rice.Journal of environmental health science & engineering · 2019
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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

18 authors at 5 institutions in 4 countries.

Annette BlockWalloon Agricultural Research Centre (CRA-W), Gembloux, Belgium. debode@cra.wallonie.be.
Frédéric Debode
Lutz Grohmann
Julie Hulin
Isabel Taverniers
Linda Kluga
Elodie Barbau-Piednoir
Sylvia Broeders
Ingrid Huber
Marc Van den Bulcke
Petra Heinze
Gilbert Berben
Ulrich Busch
Nancy Roosens
Eric Janssen
Jana Žel
Kristina Gruden
Dany Morisset
Institut Scientifique de Santé Publique · BEWalloon Agricultural Research Centre · BENational Institute of Biology · SIFederal Office of Consumer Protection and Food Safety · DEJoint Research Centre · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introduced into the host genome. Information available regarding the GMOs' molecular characterization is dispersed and not appropriately organized. For this reason, GMO testing is very challenging and requires more complex screening strategies and decision making schemes, demanding in return the use of efficient bioinformatics tools relying on reliable information. DESCRIPTION: The GMOseek matrix was built as a comprehensive, online open-access tabulated database which provides a reliable, comprehensive and user-friendly overview of 328 GMO events and 247 different genetic elements (status: 18/07/2013). The GMOseek matrix is aiming to facilitate GMO detection from plant origin at different phases of the analysis. It assists in selecting the targets for a screening analysis, interpreting the screening results, checking the occurrence of a screening element in a group of selected GMOs, identifying gaps in the available pool of GMO detection methods, and designing a decision tree. The GMOseek matrix is an independent database with effective functionalities in a format facilitating transferability to other platforms. Data were collected from all available sources and experimentally tested where detection methods and certified reference materials (CRMs) were available.

conclusionsThe GMOseek matrix is currently a unique and very valuable tool with reliable information on GMOs from plant origin and their present genetic elements that enables further development of appropriate strategies for GMO detection. It is flexible enough to be further updated with new information and integrated in different applications and platforms.

Indexed as

Decision Support TechniquesBase SequenceGenes, PlantPlants, Genetically ModifiedPolymerase Chain Reaction

Identifiers

PMID23965170
PMCPMC3765097
OpenAlexW2166964066

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.