Pharmacogenetic testing offers a promising approach to personalizing beta-blocker therapy which is used for a variety of diseases, such as heart failure, myocardial infarction and migraine prophylaxis. The genetic variability in the metabolism and response to beta-blockers such as metoprolol can significantly influence treatment outcomes. Understanding these genetic differences can help optimize therapy and minimize adverse effects. A brief summary of the current guideline and recommendations: Approximately 0.3-6.5% (depending on their ancestry) of patients are CYP2D6 poor metabolizers. CYP2D6 Poor Metabolizers have significantly decreased metabolism of metoprolol, leading to increased drug concentration and a higher risk of adverse effects. The highest dose of metoprolol that patients can tolerate may be lower in CYP2D6 poor metabolizers compared to those that are non-poor CYP2D6 metabolizers. Current evidence is insufficient to support routine clinical testing or therapeutic adjustments for other genes affecting beta-blocker pharmacodynamics, such as ADRB1, ADRB2, ADRA2C, and GRK5. Future research should consider the combined effects of multiple genetic variants (e.g., polygenic risk scores) rather than focusing solely on single-gene associations.
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