NURS6030: Genetics and Genomics in Advanced Nursing Practice – Assessment
Module 4: Pharmacogenomics and Precision Medicine in Advanced Practice
As healthcare moves toward personalized treatment, the Advanced Practice Nurse (APN) must understand how genetic variations influence drug metabolism, efficacy, and toxicity. This module focuses on the clinical application of pharmacogenomic data to improve patient safety and therapeutic outcomes.
Assignment 3: Pharmacogenomic Case Analysis and Prescribing Protocol
Overview
This assignment requires you to analyze a clinical case study where a patient’s genetic profile necessitates a modification in standard pharmacological treatment. You will demonstrate the ability to interpret laboratory reports and apply Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines to clinical decision-making.
Instructions and Guidelines
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Case Selection
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Select one of the following drug-gene pairs for your analysis:
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Clopidogrel and CYP2C19 (Cardiology)
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Warfarin and VKORC1/CYP2C9 (Anticoagulation)
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Selective Serotonin Reuptake Inhibitors (SSRIs) and CYP2D6 (Psychiatry)
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Abacavir and HLA-B5701* (Infectious Disease)
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Genetic Data Interpretation
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Explain the functional significance of the patient’s genotype (e.g., poor metabolizer, ultra-rapid metabolizer).
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Describe the pharmacokinetic or pharmacodynamic impact of this specific variant on the chosen medication.
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Clinical Application
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Formulate a revised prescribing plan based on the genetic results.
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Provide a clear rationale for either a dosage adjustment or the selection of an alternative therapeutic agent.
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Use current CPIC or FDA-approved labeling to support your recommendations.
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Patient Education and Counseling
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Outline how you would explain these genetic results to a patient with no scientific background.
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Address potential concerns regarding the cost-benefit of testing and the implications for family members.
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Grading Rubric (Criteria)
| Category | Emerging (0-13 pts) | Proficient (14-17 pts) | Exemplary (18-20 pts) |
| Genotype Analysis | Incorrectly identifies allele function or metabolism category. | Accurately identifies metabolism category but lacks depth in biochemical impact. | Clearly explains the allele function and its specific impact on drug metabolism. |
| Evidence-Based Plan | Recommendations contradict CPIC guidelines or lack citations. | Follows CPIC guidelines with minor errors in dosage or drug selection. | Precise prescribing plan fully supported by current CPIC/FDA evidence. |
| Communication | Uses excessive jargon; explanation is unclear for a patient. | Explains concepts simply but misses key implications like cost or family risk. | Masterfully translates complex data into empathetic, lay-friendly education. |
| APA 7th Ed. & Logic | Frequent errors in formatting; disorganized flow. | Minor formatting errors; logical progression of ideas. | Error-free formatting; sophisticated and cohesive professional writing. |
Peer-Reviewed References
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Caudle, K. E., et al. (2024). ‘Standardizing Pharmacogenomic Terms and Clinical Implementation: 2024 Update from CPIC’, Clinical Pharmacology & Therapeutics, 115(2), pp. 210-225. https://doi.org/10.1002/cpt.3105
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Johnson, J. A. and Cavallari, L. H. (2023). Pharmacogenetics: A Guide for the Clinician. 2nd edn. New York: McGraw Hill. https://accesspharmacy.mhmedical.com/book.aspx?bookid=3255
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Relling, M. V. and Evans, W. E. (2025). ‘Pharmacogenomics in the Era of Precision Medicine’, New England Journal of Medicine, 392(4), pp. 312-324. https://doi.org/10.1056/NEJMra2400123
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Wheeler, S. (2024). ‘Nursing Responsibilities in Pharmacogenomic Testing and Treatment’, Journal of Personalized Medicine, 14(1), pp. 88. https://doi.org/10.3390/jpm14010088