Literature DB >> 32843688

Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy.

Don Roosan1, Angela Hwang2, Moom R Roosan3.   

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.

Entities:  

Year:  2020        PMID: 32843688      PMCID: PMC7840503          DOI: 10.1038/s41397-020-00182-9

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  40 in total

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4.  Implementation of Clinical Pharmacogenomics within a Large Health System: From Electronic Health Record Decision Support to Consultation Services.

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Journal:  Pharmacotherapy       Date:  2016-07-20       Impact factor: 4.705

5.  Patient perspectives following pharmacogenomics results disclosure in an integrated health system.

Authors:  Amy A Lemke; Peter J Hulick; Dyson T Wake; Chi Wang; Annette W Sereika; Kristen Dilzell Yu; Nicole S Glaser; Henry M Dunnenberger
Journal:  Pharmacogenomics       Date:  2018-02-22       Impact factor: 2.533

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Journal:  J Oncol Pract       Date:  2008-09       Impact factor: 3.840

Review 7.  Ethical, legal, and counseling challenges surrounding the return of genetic results in oncology.

Authors:  Martijn P Lolkema; Christa G Gadellaa-van Hooijdonk; Annelien L Bredenoord; Peter Kapitein; Nancy Roach; Edwin Cuppen; Nine V Knoers; Emile E Voest
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8.  Family decision maker perspectives on the return of genetic results in biobanking research.

Authors:  Laura A Siminoff; Heather M Traino; Maghboeba Mosavel; Laura Barker; Glencora Gudger; Anita Undale
Journal:  Genet Med       Date:  2015-04-09       Impact factor: 8.822

9.  Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process.

Authors:  Kelly E Caudle; Teri E Klein; James M Hoffman; Daniel J Muller; Michelle Whirl-Carrillo; Li Gong; Ellen M McDonagh; Katrin Sangkuhl; Caroline F Thorn; Matthias Schwab; Jose A G Agundez; Robert R Freimuth; Vojtech Huser; Ming Ta Michael Lee; Otito F Iwuchukwu; Kristine R Crews; Stuart A Scott; Mia Wadelius; Jesse J Swen; Rachel F Tyndale; C Michael Stein; Dan Roden; Mary V Relling; Marc S Williams; Samuel G Johnson
Journal:  Curr Drug Metab       Date:  2014-02       Impact factor: 3.731

Review 10.  Cardiovascular Cascade Genetic Testing: Exploring the Role of Direct Contact and Technology.

Authors:  Amy C Sturm
Journal:  Front Cardiovasc Med       Date:  2016-04-19
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  2 in total

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2.  Implementation of Pharmacogenomics and Artificial Intelligence Tools for Chronic Disease Management in Primary Care Setting.

Authors:  Patrick Silva; David Jacobs; John Kriak; Asim Abu-Baker; George Udeani; Gabriel Neal; Kenneth Ramos
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  2 in total

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