PharmCAT

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The Pharmacogenomic Clinical Annotation Tool

View the Project on GitHub PharmGKB/PharmCAT

Pharmacogenomics Clinical Annotation Tool

An active area of genomic medicine implementation at many health care organizations and academic medical centers includes development of decision support and return of results around pharmacogenomics. One of the challenges in implementing pharmacogenomics is the representation of the information in clinical dosing guidelines, including star-allele haplotypes, and extracting these variants and haplotypes from genetic datasets. In a collaboration between the Pharmacogenomics Knowledgebase (PharmGKB) and the former PGRN Statistical Analysis Resource (P-STAR), with input from other groups, we are developing a software tool to extract guideline variants from a genetic dataset (represented as a vcf), interpret the variant alleles, and generate a report with genotype-based prescribing recommendations which can be used to inform treatment decisions. The Clinical Pharmacogenetics Implementation Consortium (CPIC) has established guidelines surrounding gene-drug pairs that can and should lead to treatment modifications based on genetic variants. These guidelines are used for the initial version of PharmCAT, and other sources of PGx information and guidelines will be included in the future.

For more details read the published commentary.

PharmCAT is under development and has not been officially released. We will post an announcement when PharmCAT is ready for beta testing.

Documentation

Refer to the project’s wiki on GitHub for documentation about the technical aspects of PharmCAT.

Read the PharmCAT wiki page on named allele matching to learn how PharmCAT matches genotype data to allele definitions.

There are detailed documents on how a few particular genes are handled by PharmCAT. See the gene definition exceptions for a rundown of exceptional circumstances when analyzing particular genes. The genes UGT1A1 and CFTR also have documentation of their non-standard allele matching algorithms.

Running PharmCAT

Before running PharmCAT read the instructions on GitHub and the VCF requirements.

Examples

If you’d like to view example input files and example HTML reports generated by PharmCAT check out the examples page.

Contact

If you are interested in testing the tool or have questions, please contact pharmcat@pharmgkb.org.

Team

Leaders

Co-PIs: Teri Klein (Stanford) and Marylyn Ritchie (University of Pennsylvania)
Katrin Sangkuhl (Stanford)
Ryan Whaley (Stanford)
Michelle Whirl-Carrillo (Stanford)
Mark Woon (Stanford)

Contributors

Name Institution
Solomon Adams University of Pittsburgh
Lester Carter Stanford (formerly)
Mark Dunnenberger Northshore University Health System
Philip Empey University of Pittsburgh
Alex Frase University of Pennsylvania
Robert Freimuth Mayo Clinic
Andrea Gaedigk Children’s Mercy Hospital
Adam Gordon University of Washington
Cyrine Haidar St Jude Children’s Research Hospital
James Hoffman St Jude Children’s Research Hospital
Kevin Hicks Moffitt Cancer Center & Research Institute
Ming Ta (Mike) Lee Geisinger
Neil Miller Children’s Mercy Hospital
Sean Mooney University of Washington
Minoli Perera Northwestern University
Thomas Person Geisinger
Josh Peterson Vanderbilt University
Stuart Scott Icahn School of Medicine at Mount Sinai
Greyson Twist Children’s Mercy Hospital
Marc Williams Geisinger
Chunlei Wu Scrips Research Institute
Anurag Verma University of Pennsylvania
Wenjian Yang St Jude Children’s Research Hospital