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

Clicks: 410
ID: 47245
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #4 of 10 articles by views in human genetics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
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.
Reference Key
milne2019trusthuman Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Milne, Richard;Morley, Katherine I;Howard, Heidi;Niemiec, Emilia;Nicol, Dianne;Critchley, Christine;Prainsack, Barbara;Vears, Danya;Smith, James;Steed, Claire;Bevan, Paul;Atutornu, Jerome;Farley, Lauren;Goodhand, Peter;Thorogood, Adrian;Kleiderman, Erika;Middleton, Anna;, ;
Journal human genetics
Year 2019
DOI
10.1007/s00439-019-02062-0
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.