Pharmacogenomics and Personalized Medicine
Pharmacogenomics:
Pharmacogenomics studies how genetic variations influence an individual’s response to medications. By understanding these variations, clinicians can:
- Predict Drug Response: Determine which drugs are likely to be effective or cause side effects.
- Optimize Dosage: Adjust drug dosages to suit a patient’s metabolism, guided by genetic markers.
- Avoid Adverse Reactions: Identify patients at risk of severe side effects from specific drugs.
Key Short-Term Applications:
- Cancer Treatment: Using genetic markers to select targeted therapies, such as HER2 inhibitors for breast cancer.
- Psychiatry: Personalizing antidepressant or antipsychotic treatments based on genetic markers.
- Cardiology: Tailoring anticoagulants (e.g., warfarin) using genetic testing for metabolism variations.
Personalized Medicine:
Personalized medicine goes beyond pharmacogenomics to customize healthcare based on an individual’s genetic, environmental, and lifestyle factors.
Key Aspects:
- Genetic Profiling: Using whole-genome sequencing or specific gene panels to guide prevention, diagnosis, and treatment.
- Biomarker-Based Therapies: Developing treatments targeting specific biomarkers in diseases like cancer or autoimmune disorders.
- Risk Prediction and Prevention: Identifying genetic predispositions to diseases and implementing preventive measures.
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