How to Run the Pharmacogenomics Clinical Annotation Tool (PharmCAT).

Area of Science:

• Pharmacogenomics
• Precision Medicine
• Clinical Decision Support

Background:

• Pharmacogenomics (PGx) investigates genetic variations influencing drug responses, a key component of precision medicine.
• Interpreting PGx test results for clinical decision-making remains challenging despite increasing use and insurance coverage.
• Automated interpretation tools are needed to bridge the gap between PGx testing and clinical application.

Purpose of the Study:

• To introduce the Pharmacogenomics Clinical Annotation Tool (PharmCAT) for transparent and automatic interpretation of patient genetic data.
• To detail PharmCAT's features, including genotype annotation, phenotype determination, and guideline-based recommendations (CPIC, DPWG).
• To provide a tutorial for versatile use of PharmCAT, including new features for research and handling complex genetic data.

Main Methods:

• PharmCAT integrates patient genotypes to annotate pharmacogenomic information (allele, genotype, phenotype).
• It generates reports with clinical recommendations from CPIC and DPWG guidelines.
• New features include a VCF Preprocessor for large-scale data, DPWG guideline integration, and advanced variant analysis (novel/combination alleles, CYP2D6).

Main Results:

• PharmCAT provides automated, transparent interpretation of PGx test results.
• The tool supports clinical decision support by offering guideline-based recommendations.
• Enhanced functionalities facilitate PGx research, including preparation of biobank-scale data and analysis of complex genetic variants.

Conclusions:

• PharmCAT addresses the challenge of interpreting pharmacogenomic data for clinical use.
• The tool facilitates the integration of PGx into precision medicine through automated reporting and research capabilities.
• This tutorial enables users to leverage PharmCAT effectively for diverse pharmacogenomic applications.