Is an API key required for the ClinPGx database?

No, basic access to the ClinPGx REST API does not require authentication, making it easy to integrate into clinical research workflows.

Which genes are included in the database?

The database covers major pharmacogenes including the CYP450 enzyme family (CYP2D6, CYP2C19, etc.), transporters (SLCO1B1), and HLA genes (HLA-B*57:01).

Can this skill help with genotype-guided dosing?

Yes, it provides direct access to CPIC clinical practice guidelines which offer specific dosing recommendations based on a patient's metabolizer phenotype.

What data sources does the ClinPGx skill use?

ClinPGx aggregates data from PharmGKB, CPIC (Clinical Pharmacogenetics Implementation Consortium), PharmCAT, and regulatory agencies like the FDA and EMA.

What level of evidence is provided for annotations?

The skill returns clinical annotations with evidence levels ranging from Level 1A (highest, supported by guidelines) to Level 4 (case reports/weak evidence).

ClinPGx Pharmacogenomics Database

Name: ClinPGx Pharmacogenomics Database
Author: lifangda

bylifangda

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데이터 과학 및 ML

Accesses comprehensive pharmacogenomics data including gene-drug interactions, CPIC guidelines, and genotype-guided dosing recommendations.

소개

ClinPGx (Clinical Pharmacogenomics Database) is the successor to PharmGKB, consolidating high-quality data from CPIC, PharmCAT, and major regulatory bodies. This skill enables Claude to query curated relationships between genetic variations and medication responses, providing evidence-based clinical guidelines, allele function data, and regulatory drug labels. It is an essential tool for developers and researchers building precision medicine applications, clinical decision support systems, or genomic analysis workflows.

주요 기능

Search FDA and EMA drug labels for pharmacogenomic markers
Explore pharmacokinetic and pharmacodynamic pathways
16 GitHub stars
Query evidence-based CPIC guidelines for clinical dosing
Access curated gene-drug interactions and clinical annotations
Retrieve allele functions and population frequency data

사용 사례

Developing clinical decision support for personalized prescribing
Automating the analysis of pharmacogenomic gene panels
Identifying genetic risk factors for adverse drug reactions

소개

주요 기능

Search FDA and EMA drug labels for pharmacogenomic markers
Explore pharmacokinetic and pharmacodynamic pathways
16 GitHub stars
Query evidence-based CPIC guidelines for clinical dosing
Access curated gene-drug interactions and clinical annotations
Retrieve allele functions and population frequency data

사용 사례

Developing clinical decision support for personalized prescribing
Automating the analysis of pharmacogenomic gene panels
Identifying genetic risk factors for adverse drug reactions