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

McLaren, Paul J. and Raisaro, Jean Louis and Aouri, Manel and Rotger, Margalida and Ayday, Erman and Bartha, István and Delgado, Maria B. and Vallet, Yannick and Günthard, Huldrych F. and Cavassini, Matthias and Furrer, Hansjakob and Doco-Lecompte, Thanh and Marzolini, Catia and Schmid, Patrick and Di Benedetto, Caroline and Decosterd, Laurent A. and Fellay, Jacques and Hubaux, Jean-Pierre and Telenti, Amalio. (2016) Privacy-preserving genomic testing in the clinic: a model using HIV treatment. Genetics in medicine : official journal of the American College of Medical Genetics, 18 (8). pp. 814-822.

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Official URL: https://edoc.unibas.ch/69513/

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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.
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Infektiologie > Infektiologie (Battegay M)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Infektiologie > Infektiologie (Battegay M)
UniBasel Contributors:Marzolini, Catia
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:17 May 2020 20:45
Deposited On:17 May 2020 20:45

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