Phenotype-Driven Plasma Biobanking Strategies and Methods
Autor: | Rebecca N Jerome, Quinn S. Wells, Nancy J. Brown, Xiaoming Wang, Raymond L. Mernaugh, Miguel Herrera, Dan M. Roden, Lindsay J. Couch, Jill M. Pulley, Cara Sutcliffe, Candace D. McNaughton, Erica Bowton, Sara L. Van Driest, William E. Alborn, Daniel C. Liebler, Robbert J.C. Slebos, Sarah P. Collier |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Genomic research
lcsh:Medicine Medicine (miscellaneous) Genomics computer.software_genre Article biobanking proteomics Medicine Clinical care biorepository health care economics and organizations plasma business.industry lcsh:R Electronic medical record Biobank Data science 3. Good health Biorepository Personalized medicine Sample collection Data mining Keywords: biobanking business computer BioVU |
Zdroj: | Journal of Personalized Medicine Volume 5 Issue 2 Pages 140-152 Journal of Personalized Medicine, Vol 5, Iss 2, Pp 140-152 (2015) |
ISSN: | 2075-4426 |
DOI: | 10.3390/jpm5020140 |
Popis: | Biobank development and integration with clinical data from electronic medical record (EMR) databases have enabled recent strides in genomic research and personalized medicine. BioVU, Vanderbilt's DNA biorepository linked to de-identified clinical EMRs, has proven fruitful in its capacity to extensively appeal to numerous areas of biomedical and clinical research, supporting the discovery of genotype-phenotype interactions. Expanding on experiences in BioVU creation and development, we have recently embarked on a parallel effort to collect plasma in addition to DNA from blood specimens leftover after routine clinical testing at Vanderbilt. This initiative offers expanded utility of BioVU by combining proteomic and metabolomic approaches with genomics and/or clinical outcomes, widening the breadth for potential research and subsequent future impact on clinical care. Here, we describe the considerations and components involved in implementing a plasma biobank program from a feasibility assessment through pilot sample collection. |
Databáze: | OpenAIRE |
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