Evidence map›Paper›PMID 31531740›Full record

ArticleHuman genetics2019

Trust in genomic data sharing among members of the general public in the UK, USA, Canada and Australia.

Richard Milne, Katherine I Morley, Heidi Howard, Emilia Niemiec, Dianne Nicol, Christine Critchley, Barbara Prainsack, Danya Vears, James Smith, Claire Steed and 8 more

Abstract read
In one paragraph

Article in Human genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 6 pooled it
–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

58 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  19. Emerging Ethical Challenges in Manufacturing of Cell-Based Medicines.Advances in experimental medicine and biology · 2025
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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.

Richard MilneSociety and Ethics Research, Connecting Science, Wellcome Genome Campus, Cambridge, UK.
Katherine I MorleyRAND Europe, Cambridge, UK.
Heidi HowardCentre for Research Ethics and Bioethics, Uppsala University, Uppsala, Sweden.
Emilia NiemiecCentre for Research Ethics and Bioethics, Uppsala University, Uppsala, Sweden.
Dianne NicolCentre for Law and Genetics, University of Tasmania, Hobart, Australia.
Christine CritchleyCentre for Law and Genetics, University of Tasmania, Hobart, Australia.
Barbara PrainsackDepartment of Political Science, University of Vienna, Vienna, Austria.
Danya VearsMelbourne Law School, University of Melbourne, Parkville, VIC, Australia.
James SmithWeb Team, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Claire SteedWeb Team, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Paul BevanWeb Team, Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Jerome AtutornuSociety and Ethics Research, Connecting Science, Wellcome Genome Campus, Cambridge, UK.
Lauren FarleySociety and Ethics Research, Connecting Science, Wellcome Genome Campus, Cambridge, UK.
Peter GoodhandOntario Institute for Cancer Research, MaRS Centre, Toronto, ON, Canada.
Adrian ThorogoodCentre of Genomics and Policy, McGill University, Montreal, QC, Canada.
Erika KleidermanCentre of Genomics and Policy, McGill University, Montreal, QC, Canada.
Anna MiddletonSociety and Ethics Research, Connecting Science, Wellcome Genome Campus, Cambridge, UK. anna.middleton@wgc.org.uk.ORCID http://orcid.org/0000-0003-3103-8098
Participant Values Work Stream of the Global Alliance for Genomics and Health

Funding

Wellcome Trust 206194
6 · The paper itself

Abstract

Trust may be important in shaping public attitudes to genetics and intentions to participate in genomics research and big data initiatives. As such, we examined trust in data sharing among the general public. A cross-sectional online survey collected responses from representative publics in the USA, Canada, UK and Australia (n = 8967). Participants were most likely to trust their medical doctor and less likely to trust other entities named. Company researchers were least likely to be trusted. Low, Variable and High Trust classes were defined using latent class analysis. Members of the High Trust class were more likely to be under 50 years, male, with children, hold religious beliefs, have personal experience of genetics and be from the USA. They were most likely to be willing to donate their genomic and health data for clinical and research uses. The Low Trust class were less reassured than other respondents by laws preventing exploitation of donated information. Variation in trust, its relation to areas of concern about the use of genomic data and potential of legislation are considered. These findings have relevance for efforts to expand genomic medicine and data sharing beyond those with personal experience of genetics or research participants.

Indexed as

Genetic ResearchTrustAdolescentAdultAustraliaCanadaChildCross-Sectional StudiesDatabases, GeneticFemaleGenomicsHumansInformation DisseminationMaleMiddle AgedUnited KingdomData sharingDonationGenomePublicSurveyTrust

Identifiers

PMID31531740
PMCPMC6874520

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.