Evidence map›Paper›PMID 25716164›Full record

ReviewTransgenic research2015

Genetic basis and detection of unintended effects in genetically modified crop plants.

Gregory S Ladics, Andrew Bartholomaeus, Phil Bregitzer, Nancy G Doerrer, Alan Gray, Thomas Holzhauser, Mark Jordan, Paul Keese, Esther Kok, Phil Macdonald and 9 more

Abstract readReview
In one paragraph

Review in Transgenic research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
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

55 citing papers in PubMed.

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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

19 authors.

Gregory S LadicsDuPont Pioneer Agricultural Biotechnology, DuPont Experimental Station, 200 Powder Mill Road, Wilmington, DE, 19803, USA.
Andrew Bartholomaeus
Phil Bregitzer
Nancy G Doerrer
Alan Gray
Thomas Holzhauser
Mark Jordan
Paul Keese
Esther Kok
Phil Macdonald
Wayne Parrott
Laura Privalle
Alan Raybould
Seung Yon Rhee
Elena Rice
Jörg Romeis
Justin Vaughn
Jean-Michel Wal
Kevin Glenn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In January 2014, an international meeting sponsored by the International Life Sciences Institute/Health and Environmental Sciences Institute and the Canadian Food Inspection Agency titled "Genetic Basis of Unintended Effects in Modified Plants" was held in Ottawa, Canada, bringing together over 75 scientists from academia, government, and the agro-biotech industry. The objectives of the meeting were to explore current knowledge and identify areas requiring further study on unintended effects in plants and to discuss how this information can inform and improve genetically modified (GM) crop risk assessments. The meeting featured presentations on the molecular basis of plant genome variability in general, unintended changes at the molecular and phenotypic levels, and the development and use of hypothesis-driven evaluations of unintended effects in assessing conventional and GM crops. The development and role of emerging "omics" technologies in the assessment of unintended effects was also discussed. Several themes recurred in a number of talks; for example, a common observation was that no system for genetic modification, including conventional methods of plant breeding, is without unintended effects. Another common observation was that "unintended" does not necessarily mean "harmful". This paper summarizes key points from the information presented at the meeting to provide readers with current viewpoints on these topics.

Indexed as

Food, Genetically ModifiedConsumer Product SafetyCrops, AgriculturalHumansPlants, Genetically ModifiedRisk Assessment

Identifiers

PMID25716164
PMCPMC4504983

What OpenQuestion holds

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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.