Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: To describe the implementation of clinical decision support tools for alerting prescribers of actionable drug-gene interactions in the Veterans Health Administration (VHA).

Summary: Drug-gene interactions have been the focus of clinicians for years. Interactions between SCLO1B1 genotype and statin medications are of particular interest as these can inform risk for statin-associated muscle symptoms (SAMS). VHA identified approximately 500,000 new users of statin medications prescribed in VHA in fiscal year 2021, some of whom could benefit from pharmacogenomic testing for the SCLO1B1 gene. In 2019, VHA implemented the Pharmacogenomic Testing for Veterans (PHASER) program to offer panel-based, preemptive pharmacogenomic testing and interpretation. The PHASER panel includes SLCO1B1, and VHA utilized Clinical Pharmacogenomics Implementation Consortium statin guidelines to build its clinical decision support tools. The program's overarching goal is to reduce the risk of adverse drug reactions such as SAMS and improve medication efficacy by alerting practitioners of actionable drug-gene interactions. We describe the development and implementation of decision support for the SLCO1B1 gene as an example of the approach being used for the nearly 40 drug-gene interactions screened for by the panel.

Conclusion: The VHA PHASER program identifies and addresses drug-gene interactions as an application of precision medicine to reduce veterans' risks for adverse events. The PHASER program's implementation of statin pharmacogenomics utilizes a patient's SCLO1B1 phenotype to alert providers of the risk for SAMS with the statin being prescribed and how to lower that risk through a lower dose or alternative statin selection. The PHASER program may help reduce the number of veterans who experience SAMS and may improve their adherence to statin medications.

Download full-text PDF

Source
http://dx.doi.org/10.1093/ajhp/zxad111DOI Listing

Publication Analysis

Top Keywords

drug-gene interactions
20
decision support
16
statin medications
16
clinical decision
12
pharmacogenomic testing
12
phaser program
12
veterans health
8
health administration
8
statin
8
slco1b1 gene
8

Similar Publications

PTTG1 as a common promising target for PCOS, Ovarian Cancer, and Major Depressive Disorder patients.

Comput Biol Chem

September 2025

Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, India. Electronic address:

Women are susceptible to hormonal imbalances and endocrine-related disorders such as Polycystic Ovary Syndrome (PCOS), Ovarian Cancer (OC), and Major Depressive Disorder (MDD). This study aims to identify gene-level interconnections among these conditions using omics-based bioinformatic approaches. Publicly available GEO datasets, viz.

View Article and Find Full Text PDF

Personalized treatment selection is crucial for cancer patients due to the high variability in drug response. While actionable mutations can increasingly inform treatment decisions, most therapies still rely on population-based approaches. Here, we introduce neural interaction explainable AI (NeurixAI), an explainable and highly scalable deep learning framework that models drug-gene interactions and identifies transcriptomic patterns linked with drug response.

View Article and Find Full Text PDF

Background: Omeprazole, a widely used proton pump inhibitor, has been associated with rare but serious adverse events such as myopathy. Previous research suggests that concurrent use of omeprazole with fluconazole, a potent cytochrome P450 (CYP) 2C19/3A4 inhibitor, may increase the risk of myopathy. However, the contribution of genetic polymorphisms in CYP enzymes remains unclear.

View Article and Find Full Text PDF

Aims: Pharmacogenetic implementation requires awareness of the state-of-the-art practice of laboratories providing pharmacogenetic testing. This study investigated how pharmacogenetic guidelines and recommendations have been implemented over time by Italian laboratories participating in the external quality assessment (EQA) Pharmaco-scheme established since 2019 by the European Molecular genetics Quality Network (EMQN).

Methods: Anonymized clinical pharmacogenetic reports submitted by Italian laboratories participating in the EMQN Pharmaco-scheme between 2019 and 2023 were analysed.

View Article and Find Full Text PDF

Hepatocellular carcinoma (HCC) is an aggressive and heterogeneous liver cancer with restricted therapy selections and poor diagnosis. Although there have been great advances in genomics, the molecular mechanisms essential to HCC progression are not yet fully implicit, particularly at the single-cell stage. This research utilized single-cell RNA sequencing technology to evaluate transcriptional heterogeneity, immune cell infiltration, and potential therapeutic targets in HCC.

View Article and Find Full Text PDF