Evidence map›Paper›PMID 36510710›Full record

ArticleClinical and translational science2023

Identifying the prevalence of clinically actionable drug-gene interactions in a health system biorepository to guide pharmacogenetics implementation services.

Amy L Pasternak, Kristen Ward, Madison Irwin, Carl Okerberg, David Hayes, Lars Fritsche, Sebastian Zoellner, Jessica Virzi, Hae Mi Choe, Vicki Ellingrod

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. A systematic review of real-world evidence on the clinical relevance, characterization, and utility ofJournal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2025
    Pooled it
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  3. Review
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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

10 authors at 1 institution in 1 country.

Amy L PasternakDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.ORCID 0000-0002-3162-5498
Kristen WardDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.
Madison IrwinDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.ORCID 0000-0003-3769-7035
Carl OkerbergMichigan Medicine, University of Michigan Health, Ann Arbor, Michigan, USA.
David HayesDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.ORCID 0000-0002-0345-5188
Lars FritscheDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.ORCID 0000-0002-2110-1690
Sebastian ZoellnerDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Jessica VirziMichigan Medicine, University of Michigan Health, Ann Arbor, Michigan, USA.
Hae Mi ChoeDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.
Vicki EllingrodDepartment of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.
University of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding patterns of drug-gene interactions (DGIs) is important for advancing the clinical implementation of pharmacogenetics (PGx) into routine practice. Prior studies have estimated the prevalence of DGIs, but few have confirmed DGIs in patients with known genotypes and prescriptions, nor have they evaluated clinician characteristics associated with DGI-prescribing. This retrospective chart review assessed prevalence of DGI, defined as a medication prescription in a patient with a PGx phenotype that has a clinical practice guideline recommendation to adjust therapy or monitor drug response, for patients enrolled in a research genetic biorepository linked to electronic health records (EHRs). The prevalence of prescriptions for medications with pharmacogenetic (PGx) guidelines, proportion of prescriptions with DGI, location of DGI prescription, and clinical service of the prescriber were evaluated descriptively. Seventy-five percent (57,058/75,337) of patients had a prescription for a medication with a PGx guideline. Up to 60% (n = 26,067/43,647) of patients had at least one DGI when considering recommendations to adjust or monitor therapy based on genotype. The majority (61%) of DGIs occurred in outpatient prescriptions. Proton pump inhibitors were the most common DGI medication for 11 of 12 clinical services. Almost 25% of patients (n = 10,706/43,647) had more than one unique DGI, and, among this group of patients, 61% had a DGI with more than one gene. These findings can inform future clinical implementation by identifying key stakeholders for initial DGI prescriptions, helping to inform workflows. The high prevalence of multigene interactions identified also support the use of panel PGx testing as an implementation strategy.

Indexed as

Drug PrescriptionsPharmacogeneticsDrug InteractionsPrevalenceRetrospective Studies

Identifiers

PMID36510710
PMCPMC9926071
OpenAlexW4311291763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.