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Related Concept Videos

Dosage Regimens: Partial Pharmacokinetic Parameters01:01

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It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
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Elderly individuals encompass a diverse population with varying degrees of age-related physiological changes. Defining the elderly presents challenges, as the geriatric population is often arbitrarily categorized as individuals older than 65. However, many individuals in this group lead active and healthy lives, with an increasing number surpassing 85 years and falling into the older elderly category. Physiological changes associated with aging impact performance capacity and homeostatic...
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Pharmacodynamics in Geriatric Patients: Effects of Age01:27

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Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
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Related Experiment Video

Updated: Jan 13, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
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Self-Reported Pharmacogenetic Medication Use in the Our Future Health Cohort.

Padraig Dixon1, William G Newman2,3, Videha Sharma2,3

  • 1Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

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A significant portion of the Our Future Health cohort uses medications with pharmacogenetic guidance, with use increasing with age. This highlights the need for population-scale pharmacogenetic research.

Keywords:
PGxdrug‐gene interactionsgeneticsour future healthpharmacogeneticspolypharmacy

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Area of Science:

  • Pharmacogenomics
  • Clinical Pharmacology
  • Population Health

Background:

  • Pharmacogenetic guidance aids in optimizing drug therapy, minimizing adverse events, and improving treatment efficacy.
  • The Our Future Health (OFH) cohort provides a valuable resource for studying genetic variations and their impact on health outcomes.
  • Understanding medication use patterns in relation to pharmacogenetics is crucial for personalized medicine initiatives.

Purpose of the Study:

  • To describe the self-reported use of medications with established pharmacogenetic guidance within the OFH cohort.
  • To examine the prevalence of use for specific pharmacogenes (CYP2C19, CYP2C9, CYP2D6, SLCO1B1) and clinically actionable medications.
  • To analyze medication use patterns based on demographic factors like age, sex, and ethnicity.

Main Methods:

  • Analysis of self-reported medication use from the OFH cohort (June 2025 release, N=1.78 million).
  • Focus on 18 medication groups with pharmacogenetic relevance, including antidepressants, statins, PPIs, ibuprofen, opioids, clopidogrel, and warfarin.
  • Stratification of findings by age, sex, and ethnicity, and assessment of concurrent medication use.

Main Results:

  • 25.2% of OFH participants reported using at least one medication with pharmacogenetic guidance.
  • Users of these medications were typically older, more frequently female, and had more comorbidities.
  • Concurrent use of multiple pharmacogenetically actionable medications metabolized by different genes was common (37% of users).

Conclusions:

  • A substantial proportion of the OFH cohort uses medications benefiting from pharmacogenetic guidance.
  • Medication use with pharmacogenetic implications is prevalent across all age groups, increasing with age.
  • The OFH cohort is poised to become a critical resource for large-scale pharmacogenetic research, especially with future data linkages.