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Beyond clinical utility: The multiple values of DTC genetics
Mauro Turrini1, Barbara Prainsack2
1Centre for the Study of Techniques, Knowledge and Practices, University of Paris 1 "Panthéon Sorbonne", France.
Direct-to-consumer (DTC) genetic testing offers personal and social value beyond clinical utility. Recognizing this broader utility can enhance ethical discussions and understanding of genetic data usage.
Area of Science:
- Bioethics
- Sociology of Health and Medicine
- Genetics
Background:
- Direct-to-consumer (DTC) genetic testing is controversial, with a consensus on its limited clinical utility.
- Existing literature suggests DTC tests possess value and utility outside traditional clinical settings.
- Current ethical and regulatory debates predominantly focus on clinical aspects, overlooking broader implications.
Purpose of the Study:
- To advocate for a comprehensive, multi-faceted conceptualization of utility and value in DTC genetic testing.
- To enrich ethical and social discussions surrounding DTC genetic testing by including non-clinical benefits.
- To explore the personal, social, economic, and political dimensions of DTC genetic testing's value.
Main Methods:
- Analysis of empirical and conceptual literature on DTC genetic testing.
- Argumentative approach to reframe the understanding of utility and value.
- Examination of personal, social, and economic factors influencing DTC test adoption and implications.
Main Results:
- DTC genetic tests provide personal value (entertainment, learning) and social value (relating to others).
- Understanding these non-clinical values helps explain user engagement and potential secondary/tertiary data uses.
- Broader utility considerations highlight economic, social, and political aspects, including power asymmetries in data usage.
Conclusions:
- A wider view of utility is crucial for a nuanced ethical and social discourse on DTC genetics.
- Considering entertainment, learning, and social connection values can illuminate user motivations.
- Acknowledging economic and political dimensions, such as data governance and power imbalances, is essential for future regulatory challenges.
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