HostSeq: a Canadian whole genome sequencing and clinical data resource
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Published:2023-05-02
Issue:1
Volume:24
Page:
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ISSN:2730-6844
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Container-title:BMC Genomic Data
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language:en
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Short-container-title:BMC Genom Data
Author:
Yoo S, Garg E, Elliott LT, Hung RJ, Halevy AR, Brooks JD, Bull SB, Gagnon F, Greenwood CMT, Lawless JF, Paterson AD, Sun L, Zawati MH, Lerner-Ellis J, Abraham RJS, Birol I, Bourque G, Garant J-M, Gosselin C, Li J, Whitney J, Thiruvahindrapuram B, Herbrick J-A, Lorenti M, Reuter MS, Adeoye OO, Liu S, Allen U, Bernier FP, Biggs CM, Cheung AM, Cowan J, Herridge M, Maslove DM, Modi BP, Mooser V, Morris SK, Ostrowski M, Parekh RS, Pfeffer G, Suchowersky O, Taher J, Upton J, Warren RL, Yeung RSM, Aziz N, Turvey SE, Knoppers BM, Lathrop M, Jones SJM, Scherer SW, Strug LJORCID
Abstract
AbstractHostSeq was launched in April 2020 as a national initiative to integrate whole genome sequencing data from 10,000 Canadians infected with SARS-CoV-2 with clinical information related to their disease experience. The mandate of HostSeq is to support the Canadian and international research communities in their efforts to understand the risk factors for disease and associated health outcomes and support the development of interventions such as vaccines and therapeutics. HostSeq is a collaboration among 13 independent epidemiological studies of SARS-CoV-2 across five provinces in Canada. Aggregated data collected by HostSeq are made available to the public through two data portals: a phenotype portal showing summaries of major variables and their distributions, and a variant search portal enabling queries in a genomic region. Individual-level data is available to the global research community for health research through a Data Access Agreement and Data Access Compliance Office approval. Here we provide an overview of the collective project design along with summary level information for HostSeq. We highlight several statistical considerations for researchers using the HostSeq platform regarding data aggregation, sampling mechanism, covariate adjustment, and X chromosome analysis. In addition to serving as a rich data source, the diversity of study designs, sample sizes, and research objectives among the participating studies provides unique opportunities for the research community.
Funder
Genome Canada Innovation, Science and Economic Development Canada PHAC FRQ-S Génome Québec Canadian Institutes of Health Research COVID-19 Immunity Task Force Ministry of Colleges and Universities Genome Alberta Alberta Children’s Hospital Mitogen DX SickKids Foundation University of Toronto Genome British Columbia Southeastern Ontario Academic Medical Organization Providence Healthcare Research Institute CFI Hotchkiss Brain Institute, University of Calgary Cumming School of Medicine, University of Calgary
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Genetics
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