Clinical implementation of genetic testing in medicine: a US regulatory science perspective

Lawrence J Lesko1, Stephan Schmidt

  • 1Center for Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, FL, USA.

Insights

Personalized medicine advances through DNA sequencing, but wider adoption requires resolving clinical utility debates and enhancing physician education. Developing infrastructure is key for broader access to genetic tests and decision support.

Area of Science:

  • Genomics and Personalized Medicine
  • Pharmacogenomics
  • Biotechnology

Background:

  • Treatment variability in unselected patients necessitates personalized medicine approaches.
  • Advances in DNA sequencing accelerate the interpretation of genetic mutations, impacting oncology.
  • Regulatory agencies, like the US FDA, have proactively supported personalized medicine development.

Purpose of the Study:

  • To reflect on the progress and challenges in personalized medicine adoption.
  • To evaluate the success of different strategies for integrating genetic information into clinical practice.
  • To identify key factors needed for the broader diffusion of personalized medicine.

Main Methods:

  • Review of regulatory approaches to personalized medicine, including co-development and retrospective data analysis.
  • Assessment of industry-led drug-genetic test combinations versus legacy data utilization.
  • Analysis of barriers to personalized medicine adoption, such as clinical utility and physician knowledge.

Main Results:

  • Co-development of drug-genetic test combinations has been more successful than retrospective analysis of legacy data.
  • The latter strategy shows low adoption rates for pharmacogenetic testing.
  • Significant hurdles remain for widespread personalized medicine implementation.

Conclusions:

  • Broader adoption of personalized medicine requires resolving clinical utility debates and establishing consensus on evidentiary standards.
  • Enhancing physician knowledge of genetics and its clinical application is crucial.
  • Developing accessible infrastructure for genetic testing and decision support is essential for primary care and specialists outside major centers.

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