Objective. To develop, implement, and evaluate “Test2Learn” a program to enhance pharmacogenomics education through the use of personal genomic testing (PGT) and real genetic data.Design. One hundred twenty-two second-year doctor of pharmacy (PharmD) students in a required course were offered PGT as part of a larger program approach to teach pharmacogenomics within a robust ethical framework. The program added novel learning objectives, lecture materials, analysis tools, and exercises using individual-level and population-level genetic data. Outcomes were assessed with objective measures and pre/post survey instruments.Assessment. One hundred students (82%) underwent PGT. Knowledge significantly improved on multiple assessments. Genotyped students reported a greater increase in confidence in understanding test results by the end of the course. Similarly, undergoing PGT improved student’s self-perceived ability to empathize with patients compared to those not genotyped. Most students (71%) reported feeling...

Pharmacogenomics is a tool for practitioners to provide precision pharmacotherapy using genomics. All providers are likely to encounter genomic data in practice with the expectation that they are able to successfully apply it to patient care. Pharmacogenomics tests for genetic variations in genes that are responsible for drug metabolism, transport, and targets of drug action. Variations can increase the risk for drug toxicity or poor efficacy. Pharmacogenomics can, therefore, be used to help select the best medication or aid in dosing. Nephrologists routinely treat cardiovascular disease and manage patients after kidney transplantation, two situations for which there are several high-evidence clinical recommendations for commonly used anticoagulants, antiplatelets, statins, and transplant medications. Successful use of pharmacogenomics in practice requires that providers are familiar with how to access and use pharmacogenomics resources. Similarly, clinical decision making related to whether to use existing data, whether to order testing, and if data should be used in practice is needed to deliver precision medicine. Pharmacogenomics is applicable to virtually every medical specialty, and nephrologists are well positioned to be implementation leaders.

Pharmacotherapy for traumatic brain injury (TBI) is focused on resuscitation, prevention of secondary injury, rehabilitation and recovery. Pharmacogenomics may play a role in TBI for predicting therapies for sedation, analgesia, seizure prevention, intracranial pressure-directed therapy and neurobehavioral/psychiatric symptoms. Research into genetic predictors of outcomes and susceptibility to complications may also help clinicians to tailor therapeutics for high-risk individuals. Additionally, the expanding use of genomics in the drug development pipeline has provided insight to novel investigational and repurposed medications that may be useful in the treatment of TBI and its complications. Genomics in the context of treatment and prognostication for patients with TBI is a promising area for clinical progress of pharmacogenomics.

Traumatic brain injury (TBI) is a leading cause of death with no pharmacological treatments that improve outcomes. Transporter proteins participate in TBI recovery by maintaining the central nervous system (CNS) biochemical milieu. Genetic variations in transporters that alter expression and/or function have been associated with TBI outcomes. The ATP-binding cassette transporter, ABCG2, is a uric acid (UA) transporter that effluxes UA from cells in the CNS and is responsible for systemic UA clearance. Uric acid is a CNS antioxidant and/or a biomarker that might support TBI recovery. Our objective was to investigate the impact of ABCG2 SNP: c.421C>A on TBI outcomes. Two cohorts (discovery [N = 270] and replication [N = 166]) were genotyped for ABCG2 c.421C>A. Glasgow Outcome Scale (GOS) scores were collected at 3, 6, 12, and 24 months post-injury and compared with mixed-effects multiple ordinal regression controlled for time post-injury, age, sex, time, post-injury imaging determined hemorrhage types, and Glasgow Coma Scale score. Variant alleles (genotype) were associated with better GOS scores (p = 0.01 [discovery] and p = 0.02 [replication]), whereas genotype*age interaction was associated with worse GOS scores (p = 0.03 [discovery] and p = 0.01 [replication]). Reversed coefficient directionality suggests variant allele(s) are protective up to approximately age 34 years. Overall, variant alleles at ABCG2 c.421C>A associate with better GOS scores post-injury in two independently sampled cohorts. This finding is mitigated by increasing subject age. This suggests that ABCG2 might have an age-dependent effect on TBI recovery and should be explored in future mechanistic studies.