Evidence map›Paper›PMID 40279185›Full record

ArticleClinical and translational science2025

Development of an Ancestrally Inclusive Preemptive Pharmacogenetic Testing Panel.

Christelle Lteif, Brian E Gawronski, Emily J Cicali, Katherine A Martinez, Kimberly J Newsom, Petr Starostik, Larisa H Cavallari, Julio D Duarte

Abstract read
In one paragraph

Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Pharmacogenetics and Molecular Ancestry ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
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

8 authors.

Christelle LteifCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.ORCID 0000-0002-0468-8936
Brian E GawronskiCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.ORCID 0009-0000-9513-4244
Emily J CicaliCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.ORCID 0000-0002-3595-9321
Katherine A MartinezDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA.
Kimberly J NewsomDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA.
Petr StarostikDepartment of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida, USA.
Larisa H CavallariCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.ORCID 0000-0002-7184-5292
Julio D DuarteCenter for Pharmacogenomics and Precision Medicine, Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, Florida, USA.ORCID 0000-0001-9766-4038

Funding

Preemptive pharmacogenetic testing in medically underserved populationsR01HG011800 · NHGRI · UNIVERSITY OF FLORIDA · PI Julio David Duarte · 2021 to 2026
$3.9M
Training Program for Applied Research and Development in Genomic MedicineT32HG008958 · NHGRI · UNIVERSITY OF FLORIDA · PI Larisa Humma Cavallari, Stephen E. Kimmel · 2018 to 2026
$3.8M
NHGRI NIH HHS R01 HG011800NHGRI NIH HHS T32 HG008958
6 · The paper itself

Abstract

Pharmacogenetic (PGx) testing can individualize pharmacotherapy, but many current panels lack inclusivity for diverse populations and are often cost-prohibitive for medically underserved communities. This study aimed to develop and validate GatorPGx Plus, a low-cost, preemptive PGx panel tailored for diverse patient populations. Pharmacogenes were selected based on the drug/drug classes potentially influenced by their variants, the clinical severity of drug-gene interactions, or the strength of guideline recommendations or emerging evidence. Variants within the pharmacogenes were included if their allele frequencies were approximately 1% or greater in any major ancestral population. The panel was validated for accuracy, precision, and analytical sensitivity and applied to 124 participants from an ongoing pharmacogenetic clinical implementation trial. To reduce costs, a high-throughput platform was chosen, laboratory technician hands-on time was minimized, and result translation and reporting were automated. The panel comprised tests for 62 variants in 14 genes/gene regions, including a CYP2D6 copy number assay. It demonstrated 100% concordance with reference methods. The average turnaround time between test order and results was 14.3 (±6.4) days. Among the 124 genotyped trial participants (mean age 60 years, 57.3% female), 99% had at least one non-normal function (less common or higher-risk) phenotype. The most frequently identified non-normal function phenotypes were in CYP2C19 (69.4%). CYP2D6 *17, *29, and CYP2C19 *9 were captured at higher frequencies than reported in European populations. GatorPGx Plus is a low per-test cost, clinically validated, preemptive PGx panel that effectively captures key variants in a mixed-ancestry population, underscoring its potential clinical utility in diverse, medically underserved populations.

Indexed as

Pharmacogenomic TestingAdultFemaleGene FrequencyGenotypeHumansMaleMiddle AgedPharmacogenomic VariantsPrecision MedicineReproducibility of Resultsancestrally inclusivepanelpharmacogeneticspreemptive

Identifiers

PMID40279185
PMCPMC12024485

What OpenQuestion 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 OpenQuestion graph.