Privacy-preserving genomic testing in the clinic: a model using HIV treatment.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_C52D051D158A
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Privacy-preserving genomic testing in the clinic: a model using HIV treatment.
Journal
Genetics in medicine
Author(s)
McLaren P.J., Raisaro J.L., Aouri M., Rotger M., Ayday E., Bartha I., Delgado M.B., Vallet Y., Günthard H.F., Cavassini M., Furrer H., Doco-Lecompte T., Marzolini C., Schmid P., Di Benedetto C., Decosterd L.A., Fellay J., Hubaux J.P., Telenti A.
ISSN
1530-0366 (Electronic)
ISSN-L
1098-3600
Publication state
Published
Issued date
08/2016
Peer-reviewed
Oui
Volume
18
Number
8
Pages
814-822
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
The implementation of genomic-based medicine is hindered by unresolved questions regarding data privacy and delivery of interpreted results to health-care practitioners. We used DNA-based prediction of HIV-related outcomes as a model to explore critical issues in clinical genomics.
We genotyped 4,149 markers in HIV-positive individuals. Variants allowed for prediction of 17 traits relevant to HIV medical care, inference of patient ancestry, and imputation of human leukocyte antigen (HLA) types. Genetic data were processed under a privacy-preserving framework using homomorphic encryption, and clinical reports describing potentially actionable results were delivered to health-care providers.
A total of 230 patients were included in the study. We demonstrated the feasibility of encrypting a large number of genetic markers, inferring patient ancestry, computing monogenic and polygenic trait risks, and reporting results under privacy-preserving conditions. The average execution time of a multimarker test on encrypted data was 865 ms on a standard computer. The proportion of tests returning potentially actionable genetic results ranged from 0 to 54%.
The model of implementation presented herein informs on strategies to deliver genomic test results for clinical care. Data encryption to ensure privacy helps to build patient trust, a key requirement on the road to genomic-based medicine.Genet Med 18 8, 814-822.
Keywords
Computer Security, Genetic Privacy, Genetic Variation, Genomics/ethics, HIV Infections/genetics, Humans, Models, Theoretical
Pubmed
Web of science
Open Access
Yes
Create date
29/01/2016 12:14
Last modification date
30/04/2021 7:14
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