Evidence map›Paper›PMID 34095505›Full record

ArticleWellcome open research2020

Engagement and social acceptance in genome editing for human benefit: Reflections on research and practice in a global context.

Sebastián Barbosa, Lea Pare Toe, Delphine Thizy, Manjulika Vaz, Lucy Carter

Abstract read
In one paragraph

Article in Wellcome open research, 2020. 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
–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

7 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

5 authors.

Sebastián Barbosa *Ministry of Science, Technology and Innovation, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-6624-2323
Lea Pare Toe *Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.
Delphine Thizy *Imperial College London, London, UK.ORCID https://orcid.org/0000-0003-2606-1584
Manjulika Vaz *St John's Research Institute, St John's Medical College, Bengaluru, India.ORCID https://orcid.org/0000-0001-5867-1665
Lucy CarterCSIRO Land and Water, Brisbane, Australia.ORCID https://orcid.org/0000-0003-2606-1584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While there are both practical and ethical reasons for public engagement in science and innovation, real-world detailed examples of engagement practice and the lessons to come from these are still hard to find. This paper showcases three contextually diverse case studies of engagement practice. Case 1 recounts the experiences of a government-funded initiative to involve scientists and policy makers as science communicators for the purpose of engaging the Argentine public on gene editing. Case 2 describes the research methodologies used to elicit diverse stakeholder views in the face of political uncertainty and institutional distrust in India. Finally, case 3 unpacks the tensions and gaps with existing international guidelines for ensuring local voices are respected in community decision-making in Burkina Faso. Each case shares its own compelling rationale for selecting the engagement method chosen and details the challenges encountered along the way. Each case shares its vision for creating legitimate opportunities for broader societal involvement in the planning, conduct and delivery of responsible science. These cases demonstrate the nuances, sensitivities and challenges of engaging with publics and broader stakeholders in discussions about genome editing for human benefit.

Indexed as

gene drivesgenome editingPublic engagementsocial acceptance

Identifiers

PMID34095505
PMCPMC8142603.2

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.