Evidence mapPaperPMID 42459944Full record

ArticleJAMIA open2026

Design and implementation of PharMe: a mobile application to return pharmacogenomic test results to patients.

Tamara Slosarek, Jannis Baum, Benjamin Frost, Nikola Genchev, Leon Hermann, Samuel Kunst, Charlie Meister, Matti Schmidt, Sebastian Wagner, Susan M Mashni and 3 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
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

13 authors.

Tamara SlosarekHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.ORCID https://orcid.org/0000-0003-1514-1706
Jannis BaumHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Benjamin FrostHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Nikola GenchevHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Leon HermannHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Samuel KunstHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Charlie MeisterHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Matti SchmidtHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Sebastian WagnerHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Susan M MashniDepartment of Pharmacy, Mount Sinai Health System, New York, NY 10029, United States.
Christoph LippertHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.ORCID https://orcid.org/0000-0001-6363-2556
Erwin P BöttingerHasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, 14482, Germany.
Aniwaa Owusu ObengDepartment of Pharmacy, Mount Sinai Health System, New York, NY 10029, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Pharmacogenomics can optimize therapeutic outcomes while minimizing adverse events. However, the lack of trained healthcare professionals has impeded its widespread adoption. Current patient-facing applications are either institution-specific or vary significantly in their coverage of genetic variants, interpretation guidelines, and data privacy protection. To address these shortcomings, we developed PharMe. Materials and Methods: All components were developed through co-design; experts created patient-friendly content in English from Clinical Pharmacogenomics Implementation Consortium and Food and Drug Administration guidelines. Results: PharMe returns pharmacogenomic results for 17 genes and 159 medications, including phenoconversion of CYP2D6 due to inhibitors. PharMe is facilitated by Anni, a web interface enabling consistent, multilingual annotation of guidelines with patient-friendly formulations. Initial evaluations demonstrate that PharMe is usable and stable. PharMe is available for iOS and Android in English. Discussion: PharMe and Anni use transparent, standardized guideline content, are agnostic to data sources, and can flexibly be deployed globally in different settings and institutions, while upholding data privacy. Prospectively, both could support further guidelines and data formats. Validation of clinical utility, patient comprehension, and empowerment is underway in a clinical validation study with diverse patients. Conclusion: We developed a novel, extensible, usable, and stable system to transparently return pharmacogenomic results to patients. These findings support further investigation in larger, more diverse populations and in real-world clinical settings, with the goal of informing scalable, guideline-concordant pharmacogenomics implementation.

Indexed as

adverse drug reactionempowermentgenetic counselingmedical informatics applicationpharmacogenomics

Identifiers

PMID42459944
PMCPMC13371757

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.