Evidence map›Paper›PMID 38231759›Full record

ArticleFoods (Basel, Switzerland)2023

Specificity Testing for NGT PCR-Based Detection Methods in the Context of the EU GMO Regulations.

Caroline Bedin Zanatta, Aline Martins Hoepers, Rubens Onofre Nodari, Sarah Zanon Agapito-Tenfen

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. 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
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

4 authors at 2 institutions in 2 countries.

Caroline Bedin ZanattaDepartment of Crop Science, Federal University of Santa Catarina, Florianópolis 88034000, Brazil.ORCID 0000-0003-0876-2416
Aline Martins HoepersDepartment of Crop Science, Federal University of Santa Catarina, Florianópolis 88034000, Brazil.ORCID 0009-0007-2194-8529
Rubens Onofre NodariDepartment of Crop Science, Federal University of Santa Catarina, Florianópolis 88034000, Brazil.ORCID 0000-0002-8884-2426
Sarah Zanon Agapito-TenfenClimate and Environmental Division, NORCE Norwegian Research AS, 5008 Bergen, Norway.ORCID 0000-0002-9773-0856
Universidade Federal de Santa Catarina · BRNORCE Research AS · NO

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior scholarship to RONNational Council for Scientific and Technological Development scholarship to CBZThe Research Council of Norway 301911
6 · The paper itself

Abstract

The term new genomic techniques (NGTs) is an umbrella term used to describe a variety of techniques that can alter the genetic material of an organism and that have emerged or have been developed since 2001, when the existing genetically modified organism (GMO) legislation was adopted. The analytical framework used to detect GMOs in Europe is an established single harmonized procedure that is mandatory for the authorization of GM food and feed, thus generating a reliable, transparent, and effective labeling scheme for GMO products. However, NGT products can challenge the implementation and enforcement of the current regulatory system in the EU, relating in particular to the detection of NGT products that contain no foreign genetic material. Consequently, the current detection methods might fail to meet the minimum performance requirements. Although existing detection methods may be able to detect and quantify even small alterations in the genome, this does not necessarily confirm the distinction between products resulting from NGTs subject to the GMO legislation and other products. Therefore, this study provides a stepwise approach for the in silico prediction of PCR systems' specificity by testing a bioinformatics pipeline for amplicon and primer set searches in current genomic databases. In addition, it also empirically tested the PCR system evaluated during the in silico analysis. Two mutant genotypes produced by CRISPR-Cas9 in

Indexed as

bioinformaticsCRISPR-Cas9detectiongenetically modified organismssite-directed nucleasestraceability

Identifiers

PMID38231759
PMCPMC10706100
OpenAlexW4389100126

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.