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Identifiability in biobanks: models, measures, and mitigation strategies.

Authors :
Malin, Bradley
Loukides, Grigorios
Benitez, Kathleen
Clayton, Ellen Wright
Source :
Human Genetics. Sep2011, Vol. 130 Issue 3, p383-392. 10p. 1 Diagram, 2 Charts.
Publication Year :
2011

Abstract

The collection and sharing of person-specific biospecimens has raised significant questions regarding privacy. In particular, the question of identifiability, or the degree to which materials stored in biobanks can be linked to the name of the individuals from which they were derived, is under scrutiny. The goal of this paper is to review the extent to which biospecimens and affiliated data can be designated as identifiable. To achieve this goal, we summarize recent research in identifiability assessment for DNA sequence data, as well as associated demographic and clinical data, shared via biobanks. We demonstrate the variability of the degree of risk, the factors that contribute to this variation, and potential ways to mitigate and manage such risk. Finally, we discuss the policy implications of these findings, particularly as they pertain to biobank security and access policies. We situate our review in the context of real data sharing scenarios and biorepositories. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03406717
Volume :
130
Issue :
3
Database :
Academic Search Index
Journal :
Human Genetics
Publication Type :
Academic Journal
Accession number :
64301331
Full Text :
https://doi.org/10.1007/s00439-011-1042-5