An Introductory Tutorial on Cardiovascular Pharmacogenetics for Healthcare Providers

Akinyemi Oni-OrisanSony TutejaGlenda HoffeckerD Max SmithMatteo CastrichiniKristine R CrewsWilliam A Murphy, Nam H K NguyenYimei HuangChristelle LteifKevin A FriedeKelan TantisiraFolefac AminkengDeepak VooraLarisa H CavallariMichelle Whirl-CarrilloJulio D DuarteJasmine A LuzumPharmacogenomics Global Research Network (PGRN) Publications Committee

A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study

Jesse J SwenCathelijne H van der WoudenLisanne En MansonHeshu Abdullah-Koolmees, Kathrin Blagec, Tanja Blagus, Stefan Böhringer, Anne Cambon-ThomsenErika CecchinKa-Chun Cheung, Vera Hm DeneerMathilde Dupui, Magnus Ingelman-SundbergSiv JonssonCandace Joefield-RokaKatja S JustMats O KarlssonLidija KontaRudolf Koopmann, Marjolein KriekThorsten Lehr, Christina MitropoulouEmmanuelle Rial-SebbagVictoria RollinsonRossana Roncato, Matthias SamwaldElke Schaeffeler, Maria SkokouMatthias SchwabDaniela Steinberger, Julia C StinglRoman TremmelRichard M TurnerMandy H van RhenenCristina L Dávila FajardoVita DolžanGeorge P PatrinosMunir PirmohamedGere Sunder-PlassmannGiuseppe ToffoliHenk-Jan GuchelaarUbiquitous Pharmacogenomics Consortium

Clinical, technical, and environmental biases influencing equitable access to clinical genetics/genomics testing: A points to consider statement of the American College of Medical Genetics and Genomics (ACMG)

Dena R MatalonCinthya J Zepeda-MendozaMahmoud AarabiKaitlyn Brown, Stephanie M FullertonShagun Kaur, Fabiola Quintero-Rivera, Matteo Vatta; ACMG Social, Ethical and Legal Issues Committee and the ACMG Diversity, Equity and Inclusion Committee

Integrated multi-omics for rapid rare disease diagnosis on a national scale

Sebastian Lunke, Sophie E BoufflerChirag V PatelSarah A SandaraduraMeredith WilsonJason PinnerMatthew F HunterChristopher P BarnettMathew WallisBenjamin Kamien, Tiong Y TanMary-Louise FreckmannBelinda ChongDean PhelanDavid FrancisKarin S KassahnThuong HaSong GaoPeer ArtsMatilda R JacksonHamish S ScottStefanie EggersSimone RowleyKirsten BoggsAna RakonjacGemma R BrettMichelle G de SilvaAmanda Springer, Michelle WardKirsty Stallard, Cas SimonsThomas Conway, Andreas Halman, Nicole J Van BergenTim SikoraLiana N SemcesenDavid A StroudAlison G ComptonDavid R ThorburnKatrina M BellSimon SadedinKathryn N NorthJohn ChristodoulouZornitza Stark

Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6, CYP2C19, CYP2B6, SLC6A4, and HTR2A Genotypes and Serotonin Reuptake Inhibitor Antidepressants

Chad A Bousman, James M Stevenson, Laura B Ramsey, Katrin Sangkuhl, J Kevin Hicks, Jeffrey R Strawn, Ajeet B Singh, Gualberto Ruaño, Daniel J Mueller, Evangelia Eirini Tsermpini, Jacob T Brown, Gillian C Bell, J Steven Leeder, Andrea Gaedigk, Stuart A Scott, Teri E Klein, Kelly E Caudle, Jeffrey R Bishop

Clinician adherence to pharmacogenomics prescribing recommendations in clinical decision support alerts

Jenny Q Nguyen, Kristine R Crews, Ben T Moore, Nancy M Kornegay, Donald K Baker, Murad Hasan, Patrick K Campbell, Shannon M Dean, Mary V Relling , James M Hoffman, Cyrine E Haidar

Abstract

Thoughtful integration of interruptive clinical decision support (CDS) alerts within the electronic health record is essential to guide clinicians on the application of pharmacogenomic results at point of care. St. Jude Children’s Research Hospital implemented a preemptive pharmacogenomic testing program in 2011 in a multidisciplinary effort involving extensive education to clinicians about pharmacogenomic implications. We conducted a retrospective analysis of clinicians’ adherence to 4783 pharmacogenomically guided CDS alerts that triggered for 12 genes and 60 drugs. Clinicians adhered to the therapeutic recommendations provided in 4392 alerts (92%). In our population of pediatric patients with catastrophic illnesses, the most frequently presented gene/drug CDS alerts were TPMT/NUDT15 and thiopurines (n = 3850), CYP2D6 and ondansetron (n = 667), CYP2D6 and oxycodone (n = 99), G6PD and G6PD high-risk medications (n = 51), and CYP2C19 and proton pump inhibitors (omeprazole and pantoprazole; n = 50). The high adherence rate was facilitated by our team approach to prescribing and our collaborative CDS design and delivery.

Keywords: clinical decision support; medication alert systems; pharmacogenetics; pharmacogenomics; precision medicine.