PharmVIP

PharmVIP performs comprehensive pharmacogenomic analysis and interpretation of genome-wide variants from next-generation sequencing (NGS) to inform drug response and guideline-based recommendations.

Key Features:

• Comprehensive analytic functions: Performs genome-wide analysis of pharmacogenomic (PGx) variants derived from next-generation sequencing (NGS) data.
• Guideline Module: Delivers Clinical Pharmacogenetics Implementation Consortium (CPIC) drug guideline recommendations by translating genotypic data into guideline-based interpretations.
• HLA Module: Identifies human leukocyte antigen (HLA) genotypes and assesses risk of immune-mediated adverse drug reactions (IM-ADR), linking findings to relevant drug guidelines.
• Pharmacogenes Module: Prioritizes variants based on predicted impact on gene function to identify pharmacogenomic variants affecting drug metabolism and efficacy.
• Pharmacokinetics and pharmacodynamics analysis: Evaluates variants relevant to pharmacokinetics and pharmacodynamics to contextualize effects on drug response.
• Customizable reporting: Generates tailored reports summarizing variant interpretations and guideline recommendations.

Scientific Applications:

• Variant discovery and research: Enables genome-wide exploration of PGx variants from NGS data for research into genetic determinants of drug response.
• Clinical genotype-guided therapy: Supports translation of individual genotypes into CPIC-based therapeutic recommendations for personalized prescribing.
• HLA-associated IM-ADR risk assessment: Identifies HLA genotypes associated with immune-mediated adverse drug reactions to inform risk mitigation.
• Functional prioritization for follow-up: Prioritizes pharmacogene variants for downstream functional studies impacting drug metabolism and efficacy.

Methodology:

Integrates NGS data to analyze pharmacokinetics, pharmacodynamics, and immune-mediated adverse drug reactions (IM-ADR); identifies HLA genotypes; prioritizes variants by impact on gene function; and translates genotypic information into CPIC guideline recommendations.