The participants' outcomes identified many clinically actionable drug-gene variants and rare unclassified variants in the genomes of every patient. Researchers chose to apply targeted DNA sequencing to capture less common genomic variants that could by themselves, or in combination, have significant clinical relevance. Wang.īenefits of implementing preemptive sequence-based drug-gene testing "We found that nearly all of the participants could have benefitted from receiving preemptive pharmacogenomics data and the interpretation report, depending on the drugs their clinician might prescribe," says Dr. Seventy-seven genes known to be involved in drug metabolism or transport were sequenced, with results from 13 genes placed into the patient's electronic health record (EHR), together with an interpretive report and best practice alerts for 21 drug-gene pairs. The Mayo Clinic Biobank is a collection of samples, including blood and blood derivatives, and health information donated by Mayo Clinic patients. The RIGHT 10K study recruited 10,077 long-term Mayo patients and used their stored samples from the Mayo Clinic Biobank to isolate DNA for the study. Wang is the co-first author of the study. "The right drug matched to a person's genetic makeup may maximize the drug's therapeutic benefit, but the wrong drug or dose may make a medication ineffective or even fatal." Dr. "Genetic differences can affect how a person processes and responds to medications," says Liewei Wang, M.D., Ph.D., the Bernard and Edith Waterman Director of the Pharmacogenomics Program and Director of the Center for Individualized Medicine at the Mayo Clinic. The results from the "Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment" (RIGHT 10K) study strongly suggest that preemptive testing could benefit nearly every patient at some point, particularly when the testing extends beyond DNA variants already known to influence drug metabolism. ― In a newly published study appearing in Genetics in Medicine, investigators from Mayo Clinic and Baylor College of Medicine found that targeted genomic information can play an important role in drug prescribing practices.
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