tooluniverse-pharmacogenomics
Access CPIC guidelines, dosing recommendations, and metabolizer phenotype classifications for pharmacogenomic gene-drug interactions. Query allele functional status, variant annotations, and FDA biomarker labeling to support clinically-actionable PGx reports.
tooluniverse-pharmacogenomics retrieves CPIC dosing guidelines and metabolizer phenotype recommendations for gene-drug pairs.
AI-generated summary based on this skill's SKILL.md
Install
mims-harvard/ToolUniverse/tooluniverse-pharmacogenomics · repository language: Python
git clone https://github.com/mims-harvard/ToolUniverse
cp -r ToolUniverse/skills/tooluniverse-pharmacogenomics ~/.claude/skills/tooluniverse-pharmacogenomicsFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How does tooluniverse-pharmacogenomics help with CYP2D6 poor metabolizer codeine dosing?
tooluniverse-pharmacogenomics retrieves CPIC dosing guidelines and metabolizer phenotype recommendations for gene-drug pairs like CYP2D6 and codeine. The skill interprets star alleles to predict metabolizer status from patient genotype, enabling clinicians to identify poor metabolizers who require dose adjustments or alternative medications.
What CPIC guidelines and recommendations does this skill provide?
tooluniverse-pharmacogenomics accesses CPIC guidelines, dosing recommendations, and metabolizer phenotype classifications for pharmacogenomic gene-drug interactions. It retrieves evidence-graded clinical guidance to support actionable PGx recommendations tailored to individual patient genotypes.
Can tooluniverse-pharmacogenomics interpret star alleles and predict metabolizer status?
Yes. tooluniverse-pharmacogenomics interprets star alleles and predicts metabolizer status from patient genotype data. It classifies phenotypes (poor, intermediate, normal, ultra-rapid metabolizers) and generates activity scores to inform dosing and drug selection decisions.
How does tooluniverse-pharmacogenomics find FDA biomarker labeling?
tooluniverse-pharmacogenomics retrieves FDA pharmacogenomic biomarker labeling and regulatory PGx status for drugs. It identifies which medications carry FDA-recognized genetic biomarker requirements or recommendations to ensure compliance with current labeling standards.
What variant annotations and evidence levels does this skill provide?
tooluniverse-pharmacogenomics annotates genetic variants with PharmGKB clinical significance and evidence levels. It grades variant-drug response associations and identifies clinically actionable PGx findings to support evidence-based therapeutic recommendations.
Can tooluniverse-pharmacogenomics generate a clinical PGx report?
Yes. tooluniverse-pharmacogenomics generates evidence-graded clinical PGx reports with actionable recommendations. Reports integrate CPIC guidelines, metabolizer phenotypes, FDA biomarker status, and variant annotations into comprehensive, clinically-actionable summaries for patient care.
SKILL.md
rendered from the published skill — quoted content, verbatim
COMPUTE, DON'T DESCRIBE
When analysis requires computation (statistics, data processing, scoring, enrichment), write and run Python code via Bash. Don't describe what you would do — execute it and report actual results. Use ToolUniverse tools to retrieve data, then Python (pandas, scipy, statsmodels, matplotlib) to analyze it.
Pharmacogenomics (PGx) Research Skill
Systematic PGx analysis: resolve gene-drug pairs, retrieve CPIC dosing guidelines, annotate alleles and variants with PharmGKB, check FDA PGx biomarker labeling, and generate evidence-graded clinical recommendations.
When to Use
- "What CPIC guidelines exist for CYP2D6?"
- "Get dosing recommendations for codeine based on CYP2D6 poor metabolizer status"
- "Which drugs have FDA
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skills/tooluniverse-pharmacogenomics/SKILL.md