Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy
- PMID:32843688
- PMCID: PMC7840503
- DOI: 10.1038/s41397-020-00182-9
Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy
Erratum in
- Correction: Pharmacogenomics cascade testing (PhaCT): a novel approacre econd screench for preemptive pharmacogenomics testing to optimize medication therapy.Roosan D, Hwang A, Roosan MR.Roosan D, et al.Pharmacogenomics J. 2021 Feb;21(1):106. doi: 10.1038/s41397-020-00183-8.Pharmacogenomics J. 2021.PMID:32884089Free PMC article.No abstract available.
Abstract
The implementation of pharmacogenomics (PGx) has come a long way since the dawn of utilizing pharmacogenomic data in clinical patient care. However, the potential benefits of sharing PGx results have yet to be explored. In this paper, we explore the willingness of patients to share PGx results, as well as the inclusion of family medication history in identifying potential family members for pharmacogenomics cascade testing (PhaCT). The genetic similarities in families allow for identifying potential gene variants prior to official preemptive testing. Once a candidate patient is determined, PhaCT can be initiated. PhaCT recognizes that further cascade testing throughout a family can serve to improve precision medicine. In order to make PhaCT feasible, we propose a novel shareable HIPAA-compliant informatics platform that will enable patients to manage not only their own test results and medications but also those of their family members. The informatics platform will be an external genomics system with capabilities to integrate with patients' electronic health records. Patients will be given the tools to provide information to and work with clinicians in identifying family members for PhaCT through this platform. Offering patients the tools to share PGx results with their family members for preemptive testing could be the key to empowering patients. Clinicians can utilize PhaCT to potentially improve medication adherence, which may consequently help to distribute the burden of health management between patients, family members, providers, and payers.
Conflict of interest statement
The authors declare that they have no conflict of interest.
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References
- Caudle KE, Klein TE, Hoffman JM, Müller DJ, Whirl-Carrillo M, Gong L, et al. Incorporation of pharmacogenomics into routine clinical practice: the clinical pharmacogenetics implementation consortium (CPIC) guideline development process. Curr Drug Metab. 2014;15:209–17. doi: 10.2174/1389200215666140130124910. - DOI - PMC - PubMed
- Cecchin E, Roncato RJ Guchelaar H, Toffoli G, Consortium for the UP. Ubiquitous Pharmacogenomics (U-PGx): the time for implementation is now. An Horizon2020 program to drive pharmacogenomics into clinical practice. 2017.https://www.ingentaconnect.com/contentone/ben/cpb/2017/00000018/00000003... - PubMed