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Updated: Oct 25, 2025

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
Biobanks and Individual Health Related Findings: from an Obstacle to an Incentive
Jurate Lekstutiene1, Søren Holm2,3, Eugenijus Gefenas4
1Institute of Health Sciences, Faculty of Medicine, Vilnius University, M.K. Čiurlionio 21, 03101, Vilnius, Lithuania. jurate.lekstutiene@gmail.com.
Biobanks can improve management and participant engagement by returning individual health-related findings (IHRF). This strategy addresses funding and utilization challenges, drawing lessons from direct-to-consumer genetic testing companies.
Area of Science:
- Biobanking and Health Informatics
- Genetics and Personalized Medicine
- Bioethics and Governance
Background:
- European biobanks face challenges in funding and collection utilization, hindering their objectives.
- Commercial direct-to-consumer genetic testing (DTC GT) companies offer a model for biobank management.
- Returning individual health-related findings (IHRF) is an emerging strategy for biobank sustainability.
Purpose of the Study:
- To explore the dual role of IHRF in biobank management and participant engagement.
- To analyze diverse IHRF policies and their ethical implications.
- To examine the influence of personal autonomy on consent for IHRF.
Main Methods:
- Literature review of biobanking management strategies.
- Analysis of IHRF policies in non-profit and commercial biobanks.
- Ethical framework analysis of consent and autonomy in IHRF return.
Main Results:
- IHRF can enhance biobank participant value and improve governance.
- Different approaches to IHRF return exist, each with unique ethical considerations.
- Personal autonomy significantly shapes consent policies for IHRF.
Conclusions:
- Implementing IHRF policies offers a viable strategy for biobank sustainability and participant benefit.
- Careful consideration of ethical issues, particularly concerning autonomy and consent, is crucial for IHRF policies.
- Biobanks can learn from DTC GT models to optimize operations and engagement through IHRF.
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