Ethics, genetic prediction, and heart disease

Area of Science:

• Bioethics
• Health Insurance Law
• Genomics

Background:

• Predictive genetic testing for diseases like heart disease, stroke, and cancer is advancing.
• Commercial health insurance relies on "actuarial fairness," where premiums are risk-based.
• Underwriting uses risk assessment to determine insurance eligibility and cost.

Purpose of the Study:

• To explore the ethical implications of genetic information on health insurance access.
• To address concerns about distributive justice in the context of genetic predispositions.
• To clarify the empirical and moral aspects of genetic testing and insurance underwriting.

Main Methods:

• Analysis of the "adverse selection" problem in health insurance.
• Examination of the role of underwriting in the face of predictive genetic information.
• Review of the ethical considerations surrounding genetic data and insurance.

Main Results:

• Predictive genetic information could lead to individuals at high risk being denied or charged more for health insurance.
• Insurers may use genetic data to avoid insuring high-risk individuals, exacerbating health disparities.
• The Human Genome Project has highlighted the need to re-evaluate insurance practices.

Conclusions:

• The use of genetic information in health insurance raises significant ethical and justice concerns.
• A balance must be struck between actuarial fairness and equitable access to healthcare.
• Further clarification is needed on the social purpose of health insurance and the appropriateness of genetic risk underwriting.