Phenotype-Driven Plasma Biobanking Strategies and Methods
Erica A Bowton1, Sarah P Collier2, Xiaoming Wang3
1Institute for Clinical and Translational Research, Vanderbilt University, Nashville, TN 37203, USA. erica.a.bowton@vanderbilt.edu.
Journal of Personalized Medicine
|June 26, 2015
Summary
Vanderbilt
Area of Science:
- Genomics and Personalized Medicine
- Biorepository Science
- Proteomics and Metabolomics
Background:
- Electronic medical record (EMR) databases and biorepositories like BioVU have advanced genomic research and personalized medicine.
- BioVU, a DNA biorepository linked to de-identified clinical EMR data, supports genotype-phenotype interaction discovery.
- Previous experience with BioVU informed the development of a new plasma biobanking initiative.
Purpose of the Study:
- To describe the implementation of a plasma biobank program.
- To expand the utility of the existing BioVU biorepository.
- To integrate proteomic and metabolomic data with genomic and clinical data for broader research applications.
Main Methods:
- Feasibility assessment for plasma biobanking.
- Development of protocols for collecting plasma from residual blood specimens.
- Pilot sample collection to establish the program.
Main Results:
- The study outlines the necessary considerations and components for establishing a plasma biobank.
- The initiative successfully moved from feasibility assessment to pilot sample collection.
- The integrated biobank allows for combined proteomic, metabolomic, genomic, and clinical outcome analyses.
Conclusions:
- Plasma biobanking enhances biorepository utility by enabling multi-omics research.
- This integrated approach has the potential to significantly impact clinical care and research.
- The described process provides a framework for developing similar plasma biobanking programs.


