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Beyond Genetics-Stratified and Personalised Medicines Using Multiple Parameters.

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  • 1Roche Products Ltd., Hexagon Place, 6 Falcon Way, Shire Park, Welwyn Garden City, AL7 1TW, UK. richard.peck@roche.com.

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Summary

Stratified medicine uses patient factors like age and genetics to tailor drug prescriptions and dosages. Integrating both genetic and non-genetic elements is crucial for personalized treatment and improved patient outcomes.

Keywords:
dose-findingmodelingpharmacogeneticsresponse variability

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Area of Science:

  • Pharmacogenomics
  • Personalized Medicine
  • Clinical Pharmacology

Background:

  • Stratified medicine, considering patient characteristics like age and comorbidities, is a long-standing practice.
  • Pharmacogenetics offers potential for enhanced treatment stratification and individualization.
  • Non-genetic factors remain highly significant in determining drug efficacy and safety.

Approach:

  • Integrate both non-genetic and genetic patient factors for a comprehensive understanding of treatment variability.
  • Utilize patient data to guide the stratification and targeting of subgroups to appropriate drugs and optimal dosage ranges.
  • Develop stratified medicine approaches that encompass both drug selection and dose optimization for individual patients or subgroups.

Key Points:

  • Non-genetic factors (age, comorbidities, medications) are currently central to prescribing decisions.
  • Pharmacogenetics promises to refine treatment strategies but does not negate the importance of non-genetic variables.
  • A combined approach considering both genetic and non-genetic factors is essential for precise medicine.

Conclusions:

  • Future development of stratified medicines must holistically incorporate non-genetic and genetic factors.
  • Optimizing drug dosage for specific patient subgroups is a key component of personalized treatment.
  • The ultimate goal is to match the right drug and dose to the right patient subgroup for maximum efficacy.