Evidence map›Paper›PMID 37585415›Full record

ArticlePloS one2023

Social acceptance of genetic engineering technology.

Katherine E Koralesky, Lara V Sirovica, Jillian Hendricks, Katelyn E Mills, Marina A G von Keyserlingk, Daniel M Weary

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Katherine E KoraleskyFaculty of Land and Food Systems, Animal Welfare Program, The University of British Columbia, Vancouver. British Columbia, Canada.ORCID 0000-0002-7347-7745
Lara V SirovicaFaculty of Land and Food Systems, Animal Welfare Program, The University of British Columbia, Vancouver. British Columbia, Canada.
Jillian HendricksFaculty of Land and Food Systems, Animal Welfare Program, The University of British Columbia, Vancouver. British Columbia, Canada.
Katelyn E MillsFaculty of Land and Food Systems, Animal Welfare Program, The University of British Columbia, Vancouver. British Columbia, Canada.
Marina A G von KeyserlingkFaculty of Land and Food Systems, Animal Welfare Program, The University of British Columbia, Vancouver. British Columbia, Canada.
Daniel M WearyFaculty of Land and Food Systems, Animal Welfare Program, The University of British Columbia, Vancouver. British Columbia, Canada.ORCID 0000-0002-0917-3982
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic engineering of animals has been proposed to address societal problems, but public acceptance of the use of this technology is unclear. Previous work has shown that the source of information proposing the technology (e.g. companies, universities), the term used to describe the technology (e.g. genome editing, genetic modification), and the genetic engineering application (e.g. different food products) affects technology acceptance. We conducted three mixed-method surveys and used a causal trust-acceptability model to understand social acceptance of genetic engineering (GE) by investigating 1) the source of information proposing the technology, 2) the term used to describe the technology, and 3) the GE application for farm animals proposed. Further, participants expressed their understanding of technology using a range of terms interchangeably, all describing technology used to change an organism's DNA. We used structural equation modelling and confirmed model fit for each survey. In each survey, perceptions of benefit had the greatest effect on acceptance. Following our hypothesized model, social trust had an indirect influence on acceptance through similar effects of perceived benefit and perceived risk. Additional quantitative analysis showed that the source of information and technology term had little to no effect on acceptance. Applications involving animals were perceived as less beneficial than a plant application, and an application for increased cattle muscle growth was perceived as more risky than a plant application. When assessing the acceptability of applications participants considered impacts on plants, animals, and people, trust in actors and technologies, and weighed benefits and drawbacks of GE. Future work should consider how to best measure acceptability of GE for animals, consider contextual factors and consider the use of inductive frameworks.

Indexed as

Genetic EngineeringSocial StatusAnimalsCattleModels, TheoreticalNucleic Acid Amplification TechniquesTechnology

Identifiers

PMID37585415
PMCPMC10431645
OpenAlexW4385863451

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.