A semi-automatic methodology for analysing distributed and private biobanks

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http://hdl.handle.net/10138/330716

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Almeida , J R , Pratas , D & Oliveira , J L 2021 , ' A semi-automatic methodology for analysing distributed and private biobanks ' , Computers in Biology and Medicine , vol. 130 , 104180 . https://doi.org/10.1016/j.compbiomed.2020.104180

Titel: A semi-automatic methodology for analysing distributed and private biobanks
Författare: Almeida, Joao Rafael; Pratas, Diogo; Oliveira, Jose Luis
Upphovmannens organisation: Department of Virology
University of Helsinki
Datum: 2021-03
Språk: eng
Sidantal: 8
Tillhör serie: Computers in Biology and Medicine
ISSN: 0010-4825
DOI: https://doi.org/10.1016/j.compbiomed.2020.104180
Permanenta länken (URI): http://hdl.handle.net/10138/330716
Abstrakt: Privacy issues limit the analysis and cross-exploration of most distributed and private biobanks, often raised by the multiple dimensionality and sensitivity of the data associated with access restrictions and policies. These characteristics prevent collaboration between entities, constituting a barrier to emergent personalized and public health challenges, namely the discovery of new druggable targets, identification of disease-causing genetic variants, or the study of rare diseases. In this paper, we propose a semi-automatic methodology for the analysis of distributed and private biobanks. The strategies involved in the proposed methodology efficiently enable the creation and execution of unified genomic studies using distributed repositories, without compromising the information present in the datasets. We apply the methodology to a case study in the current Covid-19, ensuring the combination of the diagnostics from multiple entities while maintaining privacy through a completely identical procedure. Moreover, we show that the methodology follows a simple, intuitive, and practical scheme.
Subject: Genomics studies
Distributed biobanks
Genomics cross-exploration
Coronavirus 2
SARS-CoV-2
Secondary use
3111 Biomedicine
Referentgranskad: Ja
Licens: cc_by_nc_nd
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion


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