scientific-pharmacogenomics

Integrate pharmacogenomics data to optimize drug choice and dosing.

3|1|Updated Feb 11, 2026

Search Tags:#reporting #pharmacogenomics #pgx #cpic #dosing #pharmgkb

Ready to run

npx skills add https://github.com/nahisaho/satori --skill scientific-pharmacogenomics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientific-pharmacogenomics
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-pharmacogenomics
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-pharmacogenomics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables researchers and clinicians to systematically query pharmacogenomics data, interpret guidelines, and generate patient-facing PGx reports to tailor drug therapy.

Core Features & Use Cases

Gene-drug interaction queries: CPIC/DPWG guidelines, PharmGKB data, and FDA PGx biomarkers.
Phenotype mapping & dosing guidance: Star allele classification and metabolizer phenotype interpretation to inform dosing.
PGx reporting: End-to-end generation of pharmacogenomics reports for personalized medicine use cases.

Quick Start

Query PharmGKB/CPIC data for a patient's genotype and generate a PGx report.

Frequently Asked Questions about scientific-pharmacogenomics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I interpret pharmacogenomics star alleles to determine drug dosing?▼

Pharmacogenomics star allele interpretation maps patient genotypes to metabolizer phenotypes using CPIC dosing logic to guide drug choice and dosing adjustments. It classifies star alleles to determine phenotype and applies CPIC guidelines for precise dosing recommendations.

What is the best way to generate a pharmacogenomics report from PharmGKB and CPIC data?▼

Generating a pharmacogenomics report involves querying PharmGKB and CPIC data layers to extract gene-drug interactions and phenotype mappings. The process integrates FDA PGx biomarkers and CPIC guidelines to produce patient-facing personalized medicine reports.

Can I query CPIC and DPWG guidelines for gene-drug interactions to tailor therapy?▼

Yes, querying CPIC and DPWG guidelines for gene-drug interactions tailors therapy by applying pharmacogenomics insights to drug selection. The system integrates DPWG guideline queries with FDA PGx biomarkers to optimize drug choice based on patient genotype.

Does pharmacogenomics dosing guidance support FDA PGx biomarkers alongside CPIC guidelines?▼

Pharmacogenomics dosing guidance supports FDA PGx biomarkers alongside CPIC guidelines to provide comprehensive drug selection and dosing optimization. It queries both FDA biomarker data and CPIC dosing logic to interpret phenotypes across major PGx genes.

How do I map patient genotypes to metabolizer phenotypes for personalized medicine?▼

Mapping patient genotypes to metabolizer phenotypes uses a star-allele classifier to interpret pharmacogenomics data for personalized medicine. It translates genotype data into predicted metabolizer statuses, enabling accurate CPIC-based dosing guidance.

When should I use pharmacogenomics report generation for optimizing drug choice?▼

Pharmacogenomics report generation should be used for optimizing drug choice when clinical decisions require CPIC or DPWG guideline alignment. It is essential when interpreting complex gene-phenotype mappings across major PGx genes to prevent adverse drug reactions.