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      Identifying the prevalence of clinically actionable drug‐gene interactions in a health system biorepository to guide pharmacogenetics implementation services

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          Abstract

          Understanding patterns of drug‐gene interactions (DGIs) is important for advancing the clinical implementation of pharmacogenetics (PGx) into routine practice. Prior studies have estimated the prevalence of DGIs, but few have confirmed DGIs in patients with known genotypes and prescriptions, nor have they evaluated clinician characteristics associated with DGI‐prescribing. This retrospective chart review assessed prevalence of DGI, defined as a medication prescription in a patient with a PGx phenotype that has a clinical practice guideline recommendation to adjust therapy or monitor drug response, for patients enrolled in a research genetic biorepository linked to electronic health records (EHRs). The prevalence of prescriptions for medications with pharmacogenetic (PGx) guidelines, proportion of prescriptions with DGI, location of DGI prescription, and clinical service of the prescriber were evaluated descriptively. Seventy‐five percent (57,058/75,337) of patients had a prescription for a medication with a PGx guideline. Up to 60% ( n = 26,067/43,647) of patients had at least one DGI when considering recommendations to adjust or monitor therapy based on genotype. The majority (61%) of DGIs occurred in outpatient prescriptions. Proton pump inhibitors were the most common DGI medication for 11 of 12 clinical services. Almost 25% of patients ( n = 10,706/43,647) had more than one unique DGI, and, among this group of patients, 61% had a DGI with more than one gene. These findings can inform future clinical implementation by identifying key stakeholders for initial DGI prescriptions, helping to inform workflows. The high prevalence of multigene interactions identified also support the use of panel PGx testing as an implementation strategy.

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          Pharmacogenomics in the clinic.

          After decades of discovery, inherited variations have been identified in approximately 20 genes that affect about 80 medications and are actionable in the clinic. And some somatically acquired genetic variants direct the choice of 'targeted' anticancer drugs for individual patients. Current efforts that focus on the processes required to appropriately act on pharmacogenomic variability in the clinic are moving away from discovery and towards implementation of an evidenced-based strategy for improving the use of medications, thereby providing a cornerstone for precision medicine.
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            The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

            The Electronic Medical Records and Genomics Network is a National Human Genome Research Institute–funded consortium engaged in the development of methods and best practices for using the electronic medical record as a tool for genomic research. Now in its sixth year and second funding cycle, and comprising nine research groups and a coordinating center, the network has played a major role in validating the concept that clinical data derived from electronic medical records can be used successfully for genomic research. Current work is advancing knowledge in multiple disciplines at the intersection of genomics and health-care informatics, particularly for electronic phenotyping, genome-wide association studies, genomic medicine implementation, and the ethical and regulatory issues associated with genomics research and returning results to study participants. Here, we describe the evolution, accomplishments, opportunities, and challenges of the network from its inception as a five-group consortium focused on genotype–phenotype associations for genomic discovery to its current form as a nine-group consortium pivoting toward the implementation of genomic medicine. Genet Med 15 10, 761–771.
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              Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time-using genomic data to individualize treatment protocol.

              To report the design and implementation of the Right Drug, Right Dose, Right Time-Using Genomic Data to Individualize Treatment protocol that was developed to test the concept that prescribers can deliver genome-guided therapy at the point of care by using preemptive pharmacogenomics (PGx) data and clinical decision support (CDS) integrated into the electronic medical record (EMR).
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                Author and article information

                Contributors
                amylp@med.umich.edu
                Journal
                Clin Transl Sci
                Clin Transl Sci
                10.1111/(ISSN)1752-8062
                CTS
                Clinical and Translational Science
                John Wiley and Sons Inc. (Hoboken )
                1752-8054
                1752-8062
                12 December 2022
                February 2023
                : 16
                : 2 ( doiID: 10.1111/cts.v16.2 )
                : 292-304
                Affiliations
                [ 1 ] Department of Clinical Pharmacy University of Michigan College of Pharmacy Ann Arbor Michigan USA
                [ 2 ] Michigan Medicine University of Michigan Health Ann Arbor Michigan USA
                [ 3 ] Department of Biostatistics University of Michigan School of Public Health Ann Arbor Michigan USA
                Author notes
                [*] [* ] Correspondence

                Amy L. Pasternak, University of Michigan College of Pharmacy, 428 Church St., Ann Arbor, MI 48109, USA.

                Email: amylp@ 123456med.umich.edu

                Author information
                https://orcid.org/0000-0002-3162-5498
                https://orcid.org/0000-0003-3769-7035
                https://orcid.org/0000-0002-0345-5188
                https://orcid.org/0000-0002-2110-1690
                Article
                CTS13449 CTS-2022-0104
                10.1111/cts.13449
                9926071
                36510710
                192daa7c-fa27-4a1b-9361-860f7268d903
                © 2022 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 14 October 2022
                : 11 April 2022
                : 24 October 2022
                Page count
                Figures: 5, Tables: 3, Pages: 13, Words: 6504
                Categories
                Article
                Research
                Articles
                Custom metadata
                2.0
                February 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.5 mode:remove_FC converted:14.02.2023

                Medicine
                Medicine

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