
- Drug Topics January/February 2026
- Volume 170
- Issue 1
Pharmacists’ Role Expands in Pharmacogenomics and Personalized Cardiometabolic Treatment
Key Takeaways
- Pharmacogenomics (PGx) enables personalized medication management by considering genetic variations affecting drug response in cardiometabolic diseases.
- CPIC guidelines highlight significant drug-gene interactions for medications like clopidogrel, statins, and warfarin, impacting safety and efficacy.
Pharmacogenomics enhances cardiometabolic disease management by personalizing medication based on genetic profiles, empowering pharmacists to optimize patient care.
Cardiometabolic diseases encompass a variety of interrelated disorders, including hypertension, dyslipidemia, obesity, type 2 diabetes (T2D), and cardiovascular diseases. Cardiovascular diseases are the leading cause of death globally,1 and an estimated 11.6% of the US population has diabetes.2 These conditions account for a substantial proportion of the morbidity and mortality globally.
Despite well-established treatment guidelines, patients often fail to achieve treatment goals due to multiple factors, including variation in drug response, adverse effects (AEs), and complex comorbidities. Pharmacogenomics (PGx) may provide additional insights into patients’ medication responses, enabling the personalized selection and dosing of medications based on a patient’s genetic profile. Given pharmacists’ expertise in medications and their vital role in managing cardiometabolic diseases, pharmacists are uniquely positioned to implement PGx-guided care for cardiometabolic diseases.
Current Guidance
PGx is the study of how genetic variation impacts medication safety and efficacy.3 The Clinical Pharmacogenetics Implementation Consortium (CPIC) is an international association of experts who create evidence-based, peer-reviewed guidelines on how to utilize PGx results for clinical application. Within the CPIC guidelines, several drug-gene associations have a significant impact on the safety and efficacy of medications used in cardiometabolic diseases. Examples of these include clopidogrel, warfarin, statins, metoprolol, and certain antihypertensive medications.
One of the most significant drug-gene associations is that of clopidogrel (Plavix) and CYP2C19. Clopidogrel is bioactivated by CYP2C19 into its active metabolite. Individuals may have genetic variations in CYP2C19 that result in reduced or no function of the enzyme; these patients are referred to as intermediate or poor metabolizers, respectively. CYP2C19 intermediate and poor metabolizers taking clopidogrel have reduced platelet inhibition and increased risk of major adverse cardiovascular and cerebrovascular events; CPIC recommends avoiding clopidogrel in these patients.4 PGx testing can identify these patients, enabling clinicians to select alternative antiplatelet agents such as prasugrel (Effient) or ticagrelor (Brilinta).
CPIC provides additional PGx guidance on the statin medication class and SLCO1B1, ABCG2, and CYP2C9. The presence of genetic variants in these genes affects systemic concentrations, and the genes may increase the risk of statin-associated musculoskeletal symptoms (SAMS). SAMS can lead to poor adherence, ultimately limiting the long-term benefits of statin therapy. CPIC guidance is most robust for simvastatin and, to a lesser extent, atorvastatin and rosuvastatin. No dose adjustments are needed for fluvastatin or pravastatin.5 Routine genetic testing is not standard of care, as the clinical impact outside of simvastatin is limited.5
A classic and one of the earliest PGx associations is the warfarin and VKORC1, CYP2C9, CYP4F2, and CYP2C cluster. Genetic variations in these genes can influence the dose requirements of warfarin. CPIC recommends utilization of genetic variation in conjunction with other clinical factors to guide warfarin dosing.6 Genetic testing prior to initiation may reduce the time to stable international normalized ratio and lower the risk of bleeding.
Additional guidance from CPIC includes CYP2D6 and metoprolol. CPIC guidance focuses mainly on reducing the risk of AEs in CYP2D6 poor metabolizers, who have increased systemic exposure to metoprolol and a greater reduction in heart rate and blood pressure than CYP2D6 normal metabolizers. CYP2D6 has a moderate strength recommendation of initiating therapy at the lowest recommended starting dose with close monitoring and careful titration; an alternative β-blocker may be considered.7 Lastly, CPIC provides guidance for hydralazine (Apresoline) based on the NAT2 phenotype, with specific dosing recommendations based on systemic concentrations.8
Clinical Trials and Investigations
Large-scale, prospective clinical trials and meta-analyses have begun to evaluate PGx-guided therapy in patients with T2D. However, most evidence to date suggests associations between genetic variants and drug response, rather than direct improvements in clinical outcomes resulting from genotype-guided prescribing. The 2020 American Diabetes Association consensus report and systematic reviews confirm that genetic variants (eg, CYP2C9 for sulfonylureas, SLC2A2 for metformin) can influence drug response, though no large trials have shown PGx-guided therapy improves glycemic control or cardiovascular outcomes. For glucagon-like peptide-1 receptor agonists and SGLT2 inhibitors, variants in GLP1R and SLC5A2 have been linked to differences in glycemic response.9-12
Expanding beyond isolated drug-gene associations, there is emerging research on the polygenic risk score (PRS), which integrates the cumulative impact of multiple genetic variants to assess an individual’s genetic predisposition to cardiometabolic diseases. PRS may enhance cardiometabolic risk prediction by integrating genetic data with traditional patient-specific clinical factors. PRS has shown utility in identifying individuals at higher risk for conditions, particularly coronary heart disease. PRS may help to guide preventive and therapeutic decisions. However, there is considerable variability across various PRS tools and limited validation, particularly among ancestrally diverse populations.
The variability and limited validation impose challenges for its clinical implementation. PRS is still evolving and may have a potential role in complementing PGx data by helping pharmacists identify patients who may benefit from earlier or more intensive preventive therapies, such as the earlier initiation of statins in genetically high-risk individuals. PRS is a developing area of precision medicine, and pharmacists must be aware of PRS’ potential and current limitations.13,14
The Pharmacist’s Role
Pharmacists are uniquely positioned to lead the integration of PGx in cardiometabolic management. Pharmacists can utilize their strong knowledge of medications and pharmacokinetics to identify patients for PGx testing, interpret PGx results, and collaborate with providers to optimize and personalize therapy. Although limitations exist in terms of PGx implementation within institutions, such as limited reimbursement/cost and accessibility of testing, as well as integration with electronic health records, pharmacists are increasingly initiating and expanding these services to improve outcomes and prevent adverse drug events, while also working as precision medicine specialists. Continuing education and certification programs in PGx are expanding, equipping pharmacists to interpret genetic data and advocate for safe, individualized treatment plans.
As the health care landscape evolves toward precision medicine, pharmacists’ expertise in pharmacotherapy positions them to lead implementation efforts, ensuring that every patient receives therapy tailored to their unique genetic and clinical profiles. Embracing PGx is not just an expansion of pharmacy practice; it is a fundamental step toward the future of individualized health care.
REFERENCES
1. Vaduganathan M, Mensah GA, Turco JV, Fuster V, Roth GA. The global burden of cardiovascular diseases and risk: a compass for future health. J Am Coll Cardiol. 2022;80(25):2361-2371. doi:10.1016/j.jacc.2022.11.005
2. National Diabetes Statistics Report. CDC Updated May 15, 2024. Accessed October 28, 2025. https://www.cdc.gov/diabetes/php/data-research/index.html
3. Rollinson V, Turner R, Pirmohamed M. Pharmacogenomics for primary care: an overview. Genes (Basel). 2020;11(11):1337. doi:10.3390/genes11111337
4. Lee CR, Luzum JA, Sangkuhl K, et al. Clinical Pharmacogenetics Implementation Consortium guideline for CYP2C19 genotype and clopidogrel therapy: 2022 update. Clin Pharmacol Ther. 2022;112(5):959-967. doi:10.1002/cpt.2526
5. Cooper-DeHoff RM, Niemi M, Ramsey LB, et al. The Clinical Pharmacogenetics Implementation Consortium guideline for SLCO1B1, ABCG2, and CYP2C9 genotypes and statin-associated musculoskeletal symptoms. Clin Pharmacol Ther. 2022;111(5):1007-1021. doi:10.1002/cpt.2557
6. Johnson JA, Caudle KE, Gong L, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for harmacogenetics-guided warfarin dosing: 2017 update. Clin Pharmacol Ther. 2017;102(3):397-404. doi:10.1002/cpt.668
7. Duarte JD, Thomas CD, Lee CR, et al. Clinical Pharmacogenetics Implementation Consortium guideline (CPIC) for CYP2D6, ADRB1, ADRB2, ADRA2C, GRK4, and GRK5 genotypes and beta-blocker therapy. Clin Pharmacol Ther. 2024;116(4):939-947. doi:10.1002/cpt.3351
8. Eadon MT, Hein DW, Andersen MA, et al. Clinical Pharmacogenetics Implementation Consortium guideline for NAT2 genotype and hydralazine therapy. Clin Pharmacol Ther. 2025;118(6):1430-1436. doi:10.1002/cpt.70071
9. Chung WK, Erion K, Florez JC, et al. Precision medicine in diabetes: a consensus report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2020;43(7):1617-1635. doi:10.2337/dci20-0022
10. Maruthur NM, Gribble MO, Bennett WL, et al. The pharmacogenetics of type 2 diabetes: a systematic review. Diabetes Care. 2014;37(3):876-886. doi:10.2337/dc13-1276
11. Dawed AY, Mari A, Brown A, et al; DIRECT consortium. Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials. Lancet Diabetes Endocrinol. 2023;11(1):33-41. doi:10.1016/S2213-8587(22)00340-0
12. O'Sullivan JW, Raghavan S, Marquez-Luna C, et al; American Heart Association Council on Genomic and Precision Medicine; Council on Clinical Cardiology; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular Radiology and Intervention; Council on Lifestyle and Cardiometabolic Health; and Council on Peripheral Vascular Disease. Polygenic risk scores for cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2022;146(8):e93-e118. doi:10.1161/CIR.0000000000001077
13. Khan SS, Pencina MJ. Polygenic risk scores for coronary heart disease: an unfulfilled promise of precision medicine. JAMA. 2025;333(1):32-33. doi:10.1001/jama.2024.24037
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