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How to Run the Pharmacogenomics Clinical Annotation Tool (PharmCAT).
Li, Binglan; Sangkuhl, Katrin; Keat, Karl; Whaley, Ryan M; Woon, Mark; Verma, Shefali; Dudek, Scott; Tuteja, Sony; Verma, Anurag; Whirl-Carrillo, Michelle; Ritchie, Marylyn D; Klein, Teri E.
Afiliación
  • Li B; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
  • Sangkuhl K; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
  • Keat K; Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Whaley RM; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
  • Woon M; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
  • Verma S; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Dudek S; Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Tuteja S; Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Verma A; Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Whirl-Carrillo M; Department of Biomedical Data Science, Stanford University, Stanford, California, USA.
  • Ritchie MD; Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Klein TE; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Clin Pharmacol Ther ; 113(5): 1036-1047, 2023 05.
Article en En | MEDLINE | ID: mdl-36350094
ABSTRACT
Pharmacogenomics (PGx) investigates the genetic influence on drug response and is an integral part of precision medicine. While PGx testing is becoming more common in clinical practice and may be reimbursed by Medicare/Medicaid and commercial insurance, interpreting PGx testing results for clinical decision support is still a challenge. The Pharmacogenomics Clinical Annotation Tool (PharmCAT) has been designed to tackle the need for transparent, automatic interpretations of patient genetic data. PharmCAT incorporates a patient's genotypes, annotates PGx information (allele, genotype, and phenotype), and generates a report with PGx guideline recommendations from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and/or the Dutch Pharmacogenetics Working Group (DPWG). PharmCAT has introduced new features in the last 2 years, including a variant call format (VCF) Preprocessor, the inclusion of DPWG guidelines, and functionalities for PGx research. For example, researchers can use the VCF Preprocessor to prepare biobank-scale data for PharmCAT. In addition, PharmCAT enables the assessment of novel partial and combination alleles that are composed of known PGx variants and can call CYP2D6 genotypes based on single and deletions in the input VCF file. This tutorial provides materials and detailed step-by-step instructions for how to use PharmCAT in a versatile way that can be tailored to users' individual needs.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Farmacogenética / Medicare Tipo de estudio: Guideline / Prognostic_studies Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: Clin Pharmacol Ther Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Farmacogenética / Medicare Tipo de estudio: Guideline / Prognostic_studies Límite: Aged / Humans País/Región como asunto: America do norte Idioma: En Revista: Clin Pharmacol Ther Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos