Title |
Tensions in ethics and policy created by National Precision Medicine Programs
|
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Published in |
Human Genomics, April 2018
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DOI | 10.1186/s40246-018-0151-9 |
Pubmed ID | |
Authors |
Jusaku Minari, Kyle B. Brothers, Michael Morrison |
Abstract |
Precision medicine promises to use genomics and other data-intensive approaches to improve diagnosis and develop new treatments for major diseases, but also raises a range of ethical and governance challenges. Implementation of precision medicine in "real world" healthcare systems blurs the boundary between research and care. This has implications for the meaning and validity of consent, and increased potential for discrimination, among other challenges. Increased sharing of personal information raises concerns about privacy, commercialization, and public trust. This paper considers national precision medicine schemes from the USA, the UK, and Japan, comparing how these challenges manifest in each national context and examining the range of approaches deployed to mitigate the potential undesirable social consequences. There is rarely a "one size" fits all solution to these complex problems, but the most viable approaches are those which take account of cultural preferences and attitudes, available resources, and the wider political landscape in which national healthcare systems are embedded. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 16% |
Canada | 4 | 13% |
United States | 3 | 9% |
Belgium | 2 | 6% |
Netherlands | 1 | 3% |
South Africa | 1 | 3% |
France | 1 | 3% |
Italy | 1 | 3% |
Austria | 1 | 3% |
Other | 0 | 0% |
Unknown | 13 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 47% |
Scientists | 14 | 44% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 100 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 16% |
Student > Master | 9 | 9% |
Student > Ph. D. Student | 8 | 8% |
Student > Doctoral Student | 7 | 7% |
Other | 7 | 7% |
Other | 18 | 18% |
Unknown | 35 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 12 | 12% |
Medicine and Dentistry | 12 | 12% |
Biochemistry, Genetics and Molecular Biology | 9 | 9% |
Nursing and Health Professions | 7 | 7% |
Economics, Econometrics and Finance | 4 | 4% |
Other | 16 | 16% |
Unknown | 40 | 40% |