The Emerging Role of Electronic Medical Records in Pharmacogenomics
Year: 2011
Type: article
Abstract: Health-care information technology and genotyping technology are both advancing rapidly, creating new opportunities for medical and scientific discovery. The convergence of these two technologies is now facilitating genetic association studies of unprecedented size within the context of routine clinical care. As a result, the medical community will soon be presented with a number of novel opportunities to bring functional genomics to the bedside in the area of pharmacotherapy. By linking biological material to comprehensive medical records, large multi-institutional biobanks are now poised to advance the field of pharmacogenomics through three distinct mechanisms: (i) retrospective assessment of previously known findings in a clinical practice-based setting, (ii) discovery of new associations in huge observational cohorts, and (iii) prospective application in a setting capable of providing real-time decision support. This review explores each of these translational mechanisms within a historical framework.
Institutions: Vanderbilt University, Vanderbilt University Medical Center, Marshfield Clinic Research Foundation, Marshfield Clinic Research Institute, Kaiser Permanente, Indiana University Indianapolis, Indiana University School of Medicine, University of Minnesota, Boston Children's Hospital, Mayo Clinic, Harvard University
Language: English
Subfield: Pharmacology
Domain: Life Sciences
Open Access status: green
Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Human Genome Research Institute, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, U.S. National Library of Medicine, National Center for Research Resources
Awards: G1119724336, G1206153511, Informatics for Integrating Biology & the Bedside (i2b2), G1780646114, G2007841888, G2120971582, G219412962, G2328519459, G2607322359, G2860569048, G3812657198, G431899019, G466213475, G556970706, Pharmacogenetics Research Network and Knowledge Base, The Vanderbilt Institute for Clinical and Translational Research (VICTR) UL1, G6804192156, Pharmacogenetics of obesity and endocannabinergic modulation (POEM), Network-based Prediction of Antiestrogen Resistance in Breast Cancer, G788200859, Genomics of AML Prognosis, G906879642, G949362299
OpenAlex ID: W2141475634