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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
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Biobanks and personalized medicine.

J E Olson1, S J Bielinski, E Ryu

  • 1Department of Health Sciences Research, Rochester, MN, USA.

Clinical Genetics
|March 5, 2014
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
biobankingbiobanksbiorepositorypersonalized medicine

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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.