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CanDIG: Secure Federated Genomic Queries and Analyses Across Jurisdictions

Authors :
Mia Husić
Michael Brudno
L. J. Dursi
Krista M. Pace
Coral-Sasso F
Naidoo D
Stephanie A. Grover
Yann Joly
Palmer Sl
Ponomarev A
Carl Virtanen
Memon N
Sevan Hakgor
Shaikh Rashid
Pierre-Olivier Quirion
Pierre-Étienne Jacques
de Borja R
L.L. Siu
Jones Sjm
Zhibin Lu
Bozoky Z
Wong M
David Bujold
Li J
Pavlov K
Lipski A
Trevor J. Pugh
Guillaume Bourque
Sethi A
Agarwal S
David Malkin
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Rapid expansions of bioinformatics and computational biology have broadened the collection and use of -omics data including genomic, transcriptomic, methylomic and a myriad of other health data types, in the clinic and the laboratory. Both clinical and research uses of such data require co-analysis with large datasets, for which participant privacy and the need for data custodian controls must remain paramount. This is particularly challenging in multi-jurisdictional settings, such as Canada, where health privacy and security requirements are often heterogeneous. Data federation presents a solution to this, allowing for integration and analysis of large datasets from various sites while abiding by local policies.The Canadian Distributed Infrastructure for Genomics platform (CanDIG) enables federated querying and analysis of -omics and health data while keeping that data local and under local control. It builds upon existing infrastructures to connect five health and research institutions across Canada, relies heavily on standards and tooling brought together by the Global Alliance for Genomics and Health (GA4GH), implements a clear division of responsibilities among its participants and adheres to international data sharing standards. Participating researchers and clinicians can therefore contribute to and quickly access a critical mass of -omics data across a national network in a manner that takes into account the multi-jurisdictional nature of our privacy and security policies. Through this, CanDIG gives medical and research communities the tools needed to use and analyze the ever-growing amount of -omics data available to them in order to improve our understanding and treatment of various conditions and diseases. CanDIG is being used to make genomic and phenotypic data available for querying across Canada as part of data sharing for five leading pan-Canadian projects including the Terry Fox Comprehensive Cancer Care Centre Consortium Network (TF4CN) and Terry Fox PRecision Oncology For Young peopLE (PROFYLE), and making data from provincial projects such as POG (Personalized Onco- Genomics) more widely available.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........2240db0be4738dfccf14782b86b1c5b7