Ethical issues in the use of genetic information
ABSTRACT Advances in molecular genetics promise to deepen our understanding of the biological basis of human behavior and shed light on the pathophysiology of mental illness. Genetic research is likely to improve our ability to develop somatic treatments for psychiatric syndromes as well as to identify targets for environmental intervention. However, population-screening tests for disorders with multifactorial inheritance may offer little clinical benefit to outweigh their potential for misuse. Relevant legal issues surrounding the use of genetic information in psychiatry include the perceived need for laws to prevent insurance and employment discrimination, and concerns about genetic status as a possible excuse for criminal behavior. Relevant ethical issues include threats to patient privacy and confidentiality and the importance of fairly distributing the benefits and burdens of genetic advances.
- SourceAvailable from: PubMed Central
[Show abstract] [Hide abstract]
- "Potential adverse consequences could affect emotional well-being, family relationships, employment, and insurance.72,73 Thus, the potential of psychiatric genomics has fueled ongoing ethical and legal debates.74,75 "
ABSTRACT: This paper describes the shared decision-making model, reviews its current status in the mental health field, and discusses its potential impact on personalized medicine. Shared decision making denotes a structured process that encourages full participation by patient and provider. Current research shows that shared decision making can improve the participation of mental health patients and the quality of decisions in terms of knowledge and values. The impact of shared decision making on adherence, illness self-management, and health outcomes remains to be studied. Implementing shared decision making broadly will require re-engineering the flow of clinical care in routine practice settings and much greater use of information technology. Similar changes will be needed to combine genomic and other biological data with patients' values and preferences and with clinicians' expertise. The future of personalized medicine is clearly linked with our ability to create the infrastructure and cultural receptivity to these changes.Dialogues in clinical neuroscience 12/2009; 11(4):455-63.
- Schizophrenia Bulletin 02/2006; 32(1):30-6. DOI:10.1093/schbul/sbj023 · 8.61 Impact Factor