Is One-Size-Fits-All Medicine Dangerous? The Pharmacogenomics Revolution

Syllabus: Bio-technology

 

Introduction

  • Pharmacogenomics studies how genetic variations influence an individual’s response to medicines.
  • It moves healthcare from population-based prescribing to precision medication, reducing trial-and-error treatment.
  • Genetic differences, especially in cytochrome P450 (CYP) enzymes, significantly alter drug metabolism and safety.

Genetic Variability and Drug Response

  • CYP enzymes metabolise nearly 75% of commonly prescribed drugs.
  • Variants produce distinct metaboliser phenotypes such as poor, intermediate, normal and ultrarapid metabolisers.
  • Poor metabolisers risk toxic accumulation, while ultrarapid metabolisers may receive insufficient benefit.
  • Studies indicate around 90% of people carry at least one actionable pharmacogenetic variant.
  • Genetic factors contribute substantially to adverse drug reactions (ADRs), a major cause of hospitalisation and mortality.

Clinical Applications

  • Warfarin: CYP2C9 and VKORC1 variants explain ~50% of dosing variability; genetic-guided dosing improves safety and reduces bleeding.
  • Clopidogrel: Requires CYP2C19 activation; loss-of-function variants (e.g., CYP2C192*) raise risks of stent thrombosis.
    • CPIC 2022 guidelines recommend alternative antiplatelet drugs for CYP2C19 poor metabolisers.
  • Psychiatry: Variants in CYP2D6 and CYP2C19 impact antidepressant and antipsychotic drug levels, influencing side-effects and outcomes.
  • Oncology increasingly integrates pharmacogenomic-guided treatments.

Economic Considerations

  • Genetic test costs have declined from thousands to $200–500 for comprehensive panels.
  • Cost-effectiveness depends on variant frequency, drug alternatives, severity of ADRs, and duration of therapy.
  • Preventing even one serious ADR may offset testing costs across multiple patients.

Challenges in Implementation

  • Major barrier is limited provider knowledge on interpreting test results.
  • Electronic health records often lack integrated decision-support tools.
  • Insurance coverage for tests remains inconsistent across jurisdictions.
  • Varying regulatory guidance: over 100 FDA drug labels now include pharmacogenomic information with differing levels of actionability.
  • Institutional resistance requires strong frameworks, administrative support, and clinical champions.

Way Forward

  • Future lies in pre-emptive pharmacogenomic testing, enabling lifelong access to genetic data for personalised prescribing.
  • It marks a shift from reactive care to proactive precision medicine, ensuring safer and more effective therapies.

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