Overview
Pharmacogenomics (PGx) is the science of understanding how a patient's genetic profile influences their response to medications. By identifying specific gene variations, clinicians can make more informed prescribing decisions — improving outcomes while reducing trial-and-error medication adjustments.
Medication response is not one-size-fits-all. Genetic differences can directly impact how quickly a medication is metabolized, whether it will be effective, risk of side effects or adverse reactions, and appropriate dosing strategies.
Chemisys analyzes over 55 clinically relevant genes — more than the majority of genetic laboratories. This expanded panel provides broader medication insight across multiple therapeutic categories, allowing for more complete clinical decision-making. Testing is done once — results guide prescribing decisions for a lifetime.
Why it matters
Clinical value
Comprehensive genetic coverage
Chemisys analyzes over 55 clinically relevant genes — providing broader medication insight across multiple therapeutic categories.
Clear, actionable reporting
Our reports translate complex genetic data into straightforward, easy-to-interpret prescribing guidance — saving providers time while improving confidence in medication selection.
Reduce adverse reactions
Reduce costly medication trial-and-error, improve patient adherence and satisfaction, minimize adverse drug reactions, and strengthen treatment outcomes.
Multi-specialty application
Supports clinical decision-making across Psychiatry & Behavioral Health, Pain Management, Primary Care, Cardiology, and Addiction Treatment.
Enzyme profiling
CYP2D6, CYP2C19, CYP2C9, CYP3A4/5 enzyme profiles and metabolism categories: poor, intermediate, normal, rapid, ultra-rapid.
One-time testing
PGx testing is completed once. Results guide prescribing decisions for the patient's lifetime — making it a lasting investment in personalized care.
What's included
Capabilities
- Analysis of over 55 clinically relevant genes
- CYP2D6, CYP2C19, CYP2C9, CYP3A4/5 enzyme profiles
- Metabolism categories: poor, intermediate, normal, rapid, ultra-rapid
- Drug-gene interactions relevant to current medications
- Actionable guidance for dosing adjustments or alternative drug selections
- Supports antidepressant, antipsychotic, and opioid prescribing decisions
- Informs addiction treatment medication choices
- Proactive, personalized care — one test for a lifetime of guidance
Applications
Clinical settings we serve
- Psychiatry & Behavioral Health
- Pain Management
- Primary Care
- Cardiology
- Addiction Treatment
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