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Privacy issues in personalized medicine.

Laszlo T Vaszar1, Mildred K Cho, Thomas A Raffin

  • 1Stanford University School of Medicine, Division of Pulmonary and Critical Care, 300 Pasteur Drive, MC5236, Stanford, CA 94305-5236, USA. lvaszar@stanford.edu

Pharmacogenomics
|February 28, 2003
PubMed
Summary

Pharmacogenomics enables personalized medicine by predicting drug responses. Large-scale genomic data, however, presents unique privacy challenges beyond traditional medical information.

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Area of Science:

  • Genomics
  • Personalized Medicine
  • Bioethics

Background:

  • Pharmacogenomics investigates individual drug response variability.
  • Current 'one size fits all' drug therapy is being replaced by personalized medicine.
  • Pharmacogenomic tests aim to predict individual drug efficacy and side effects.

Purpose of the Study:

  • To explore the privacy challenges posed by pharmacogenomic testing.
  • To differentiate privacy concerns between point-of-care and large-scale genomic data.
  • To highlight the unique ethical considerations of large-scale genomic databases.

Main Methods:

  • Conceptual analysis of privacy factors in pharmacogenomic testing.
  • Distinction between limited-scope point-of-care tests and comprehensive genomic scans.
Keywords:
Genetics and ReproductionHealth Care and Public Health

Related Experiment Videos

  • Examination of data access, sample control, and information dissemination.

    • Main Results:

    • Point-of-care pharmacogenomic tests present limited new privacy issues.
    • Large-scale genomic data from clinical trials and specimen research pose significant privacy challenges.
    • Genomic data's magnitude, stability, familial implications, and dissemination ease create novel ethical concerns.

    Conclusions:

    • Pharmacogenomics promises tailored drug therapies but requires careful privacy management.
    • Large-scale genomic data necessitates distinct ethical frameworks compared to conventional medical data.
    • Balancing genomic research advancement with robust privacy protections is crucial for personalized medicine.