Gene-Based Dose Optimization in Children

Author:

Ramsey Laura B.12,Brown Jacob T.3,Vear Susan I.4,Bishop Jeffrey R.5,Van Driest Sara L.6

Affiliation:

1. Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio 45267, USA

2. Divisions of Research in Patient Services and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA

3. Department of Pharmacy Practice and Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, Minnesota 55812, USA

4. Department of Hematology & Oncology, Nationwide Children's Hospital, Columbus, Ohio 43205, USA

5. Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, and Department of Psychiatry, University of Minnesota Medical School, Minneapolis, Minnesota 55455, USA

6. Departments of Pediatrics and Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA;

Abstract

Pharmacogenetics is a key component of precision medicine. Genetic variation in drug metabolism enzymes can lead to variable exposure to drugs and metabolites, potentially leading to inefficacy and drug toxicity. Although the evidence for pharmacogenetic associations in children is not as extensive as for adults, there are several drugs across diverse therapeutic areas with robust pediatric data indicating important, and relatively common, drug–gene interactions. Guidelines to assist gene-based dose optimization are available for codeine, thiopurine drugs, selective serotonin reuptake inhibitors, atomoxetine, tacrolimus, and voriconazole. For each of these drugs, there is an opportunity to clinically implement precision medicine approaches with children for whom genetic test results are known or are obtained at the time of prescribing. For many more drugs that are commonly used in pediatric patients, additional investigation is needed to determine the genetic factors influencing appropriate dose.

Publisher

Annual Reviews

Subject

Pharmacology,Toxicology

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