HostSeq: a Canadian whole genome sequencing and clinical data resource

Simple item page

Simple item page

Full item details

dc.contributor.author
Yoo, S.
Garg, E.
Elliott, L. T.
Hung, R. J.
Halevy, A. R.
Brooks, J. D.
Bull, S. B.
Gagnon, F.
Greenwood, C. M. T.
Lawless, J. F.
Paterson, A. D.
Sun, L.
Zawati, M. H.
Lerner-Ellis, J.
Abraham, R. J. S.
Birol, I.
Bourque, G.
Garant, J.-M.
Gosselin, C.
Li, J.
Whitney, J.
Thiruvahindrapuram, B.
Herbrick, J.-A.
Lorenti, M.
Reuter, M. S.
Adeoye, O. O.
Liu, S.
Allen, U.
Bernier, F. P.
Biggs, C. M.
Cheung, A. M.
Cowan, J.
Herridge, M.
Maslove, D. M.
Modi, B. P.
Mooser, V.
Morris, S. K.
Ostrowski, M.
Parekh, R. S.
Pfeffer, G.
Suchowersky, O.
Taher, J.
Upton, J.
Warren, R. L.
Yeung, R. S. M.
Aziz, N.
Turvey, S. E.
Knoppers, B. M.
Lathrop, M.
Jones, S. J. M.
Sherer, S. W.
Strug, L. J.
dc.date.accepted
2023-02-22
dc.date.accessioned
2024-01-03T15:21:24Z
dc.date.available
2024-01-03T15:21:24Z
dc.date.issued
2023-05-02
dc.date.submitted
2022-06-15
dc.description.abstract - en
HostSeq 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.
dc.identifier.citation
Yoo, S., Garg, E., Elliott, L. et al. HostSeq: a Canadian whole genome sequencing and clinical data resource. BMC Genom Data 24, 26 (2023). https://doi.org/10.1186/s12863-023-01128-3
dc.identifier.doi
https://doi.org/10.1186/s12863-023-01128-3
dc.identifier.issn
2730-6844
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/1390
dc.language.iso
en
dc.publisher
Springer Nature
dc.rights - en
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights - fr
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.openaccesslevel - en
Gold
dc.rights.openaccesslevel - fr
Or
dc.rights.uri - en
https://creativecommons.org/licenses/by/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by/4.0/deed.fr
dc.subject - en
Health
dc.subject - fr
Santé
dc.subject.en - en
Health
dc.subject.fr - fr
Santé
dc.title - en
HostSeq: a Canadian whole genome sequencing and clinical data resource
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
26
local.article.journalissue
1
local.article.journaltitle
BMC Genomic Data
local.article.journalvolume
24
local.peerreview - en
Yes
local.peerreview - fr
Oui
Download(s)

Original bundle

Now showing 1 - 1 of 1

Thumbnail image

Name: yoo-hostseq-canadian-genome-sequencing-clinical-data.pdf

Size: 1.49 MB

Format: PDF

Download file

Page details

Date modified: