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Updated: May 2, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
Biobanks and personalized medicine.
J E Olson1, S J Bielinski, E Ryu
1Department of Health Sciences Research, Rochester, MN, USA.
Biobanks are crucial infrastructure for advancing clinical genetics and personalized medicine. Well-designed biobanks facilitate research by collecting and linking biospecimens and health data, supporting genetic discoveries.
Area of Science:
- Genetics
- Biobanking
- Personalized Medicine
Background:
- Biobanks are essential for clinical genetics research.
- Personalized medicine relies on robust data infrastructure.
- The role of biobanks in advancing genetic medicine is growing.
Purpose of the Study:
- To review the role of biobanks in supporting clinical genetics.
- To discuss the establishment and utilization of biobanks for personalized medicine.
- To highlight key considerations and challenges in biobanking for genetic research.
Main Methods:
- Mini-review of existing literature and practices.
- Discussion of biobank types (disease-specific vs. general).
- Analysis of biobank setup considerations (consenting, governance, data, informatics, EHR linkage).
Main Results:
- Biobanks offer critical infrastructure for personalized medicine.
- Key considerations include biospecimen handling, data management, and phenotyping.
- Uses include genotype-driven recruitment and gene-environment studies.
Conclusions:
- Carefully designed biobanks are vital for clinical genetics.
- Biobanks support personalized medicine through data and biospecimen resources.
- Ongoing challenges include research result return and long-term sustainability.
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