Pharmacogenomics for precision medicine
- Submission status
- Open
Healthcare is gradually moving away from a one-size fits all approach to a greater focus on patients as individuals. Precision medicine aims to identify subpopulations of patients that will best respond to specific treatments in order to optimise care. Pharmacogenomics, the study of genome variation in drug response, is a key tool in meeting this aim.
This Collection will present recently identified genomic pathways, novel genetic biomarkers, and epigenetic signals that influence treatment outcomes for particular patient populations.
Editors
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Mayumi Ueta
Kyoto Prefectural University of Medicine, Japan
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Wei-Qi Wei
Vanderbilt University Medical Center (VUMC), USA
Mayumi Ueta is an Associate Professor in Kyoto Prefectural University of Medicine. Her research focuses on the pathogenesis and genetic predisposition of SJS/TEN with severe ocular complication. Dr Ueta has been an Editorial Board Member for Scientific Reports since 2015.
Wei-Qi Wei is a tenure-track Assistant Professor of biomedical informatics and computer science at Vanderbilt University Medical Center (VUMC), specializing in high throughput phenotyping for large-scale discovery using electronic health records (EHRs). His lab focuses on creating and leveraging informatics tools, including machine learning, natural language processing, and ontology techniques to harvest knowledge from big clinical/genetic data to advance precision medicine. Dr Wei has been an Editorial Board Member for Scientific Reports since 2019.
