Evidence mapPaperPMID 41518218Full record

ArticleClinical and translational science2026

Self-Reported Pharmacogenetic Medication Use in the Our Future Health Cohort.

Padraig Dixon, William G Newman, Videha Sharma, John H McDermott, Cynthia Wright Drakesmith

Abstract read
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Padraig DixonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-5285-409X
William G NewmanManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University, NHS Foundation Trust, Manchester, UK.ORCID https://orcid.org/0000-0002-6382-4678
Videha SharmaManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University, NHS Foundation Trust, Manchester, UK.ORCID https://orcid.org/0000-0001-7640-1239
John H McDermottManchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University, NHS Foundation Trust, Manchester, UK.ORCID https://orcid.org/0000-0002-5220-8837
Cynthia Wright DrakesmithNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to describe self-reported use of medications with established pharmacogenetic guidance in the Our Future Health (OFH) cohort. We examined four key pharmacogenes-CYP2C19, CYP2C9, CYP2D6, and SLCO1B1-and medications supported by strong evidence for clinical actionability according to the Clinical Pharmacogenetics Implementation Consortium (CPIC). Self-reported medication use was summarized, concurrent use assessed, and findings stratified by age, sex, and ethnicity. We studied these data in 1.78 million OFH participants included in the June 2025 release. The cohort was 57.3% female, aged 18-95 years (mean 53.1 years), with 90.2% self-identifying as "White." Eighteen medication groups were explicitly listed in the baseline questionnaire, enabling identification of exposure at group level rather than for individual drugs. Medication groups with pharmacogenetic relevance included antidepressants (selective serotonin reuptake inhibitors and tricyclics), statins, proton pump inhibitors, ibuprofen, opioids, clopidogrel, and warfarin. Overall, 25.2% of participants (N = 449,641) reported use of at least one such group. These users tended to be older, more frequently female, and reported more comorbidities than non-users. Concurrent exposure to two or more pharmacogenetically actionable medications metabolized by different genes was common, occurring in 37% of users. A substantial proportion of the OFH cohort therefore reported exposure to medications with pharmacogenetic guidance. Use was observed across all ages, with prevalence increasing with age. With continued expansion of the cohort and future linkage to prescribing records, OFH will provide a critical resource for population-scale pharmacogenetic research.

Indexed as

PharmacogeneticsSelf ReportAdolescentAdultAgedAged, 80 and overCohort StudiesCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Cytochrome P-450 CYP2D6FemaleHumansLiver-Specific Organic Anion Transporter 1MaleMiddle AgedPolypharmacyCYP2C19 protein, humanCYP2C9 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Cytochrome P-450 CYP2D6Liver-Specific Organic Anion Transporter 1SLCO1B1 protein, humandrug‐gene interactionsgeneticsour future healthPGxpharmacogeneticspolypharmacy

Identifiers

PMID41518218
PMCPMC12790112

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.