HostSeq: a Canadian whole genome sequencing and clinical data resource.
Yoo, S
Garg, E
Elliott, LT
Hung, RJ
Halevy, AR
Brooks, JD
Bull, SB
Gagnon, F
Greenwood, C
Lawless, JF
Paterson, AD
Sun, L
Zawati, MH
Lerner-Ellis, J
Abraham, R
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, R
Aziz, N
Turvey, SE
Knoppers, BM
Lathrop, M
Jones, S
Scherer, SW
Strug, LJ
- Publisher:
- BMC
- Publication Type:
- Journal Article
- Citation:
- BMC Genom Data, 2023, 24, (1), pp. 26
- Issue Date:
- 2023-05-02
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Full metadata record
| Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yoo, S | |
| dc.contributor.author | Garg, E | |
| dc.contributor.author | Elliott, LT | |
| dc.contributor.author | Hung, RJ | |
| dc.contributor.author | Halevy, AR | |
| dc.contributor.author | Brooks, JD | |
| dc.contributor.author | Bull, SB | |
| dc.contributor.author | Gagnon, F | |
| dc.contributor.author | Greenwood, C | |
| dc.contributor.author | Lawless, JF | |
| dc.contributor.author | Paterson, AD | |
| dc.contributor.author | Sun, L | |
| dc.contributor.author | Zawati, MH | |
| dc.contributor.author | Lerner-Ellis, J | |
| dc.contributor.author | Abraham, R | |
| dc.contributor.author | Birol, I | |
| dc.contributor.author | Bourque, G | |
| dc.contributor.author | Garant, J-M | |
| dc.contributor.author | Gosselin, C | |
| dc.contributor.author | Li, J | |
| dc.contributor.author | Whitney, J | |
| dc.contributor.author | Thiruvahindrapuram, B | |
| dc.contributor.author | Herbrick, J-A | |
| dc.contributor.author | Lorenti, M | |
| dc.contributor.author | Reuter, MS | |
| dc.contributor.author | Adeoye, OO | |
| dc.contributor.author | Liu, S | |
| dc.contributor.author | Allen, U | |
| dc.contributor.author | Bernier, FP | |
| dc.contributor.author | Biggs, CM | |
| dc.contributor.author | Cheung, AM | |
| dc.contributor.author | Cowan, J | |
| dc.contributor.author | Herridge, M | |
| dc.contributor.author | Maslove, DM | |
| dc.contributor.author | Modi, BP | |
| dc.contributor.author | Mooser, V | |
| dc.contributor.author | Morris, SK | |
| dc.contributor.author |
Ostrowski, M |
|
| dc.contributor.author | Parekh, RS | |
| dc.contributor.author | Pfeffer, G | |
| dc.contributor.author | Suchowersky, O | |
| dc.contributor.author | Taher, J | |
| dc.contributor.author | Upton, J | |
| dc.contributor.author | Warren, RL | |
| dc.contributor.author | Yeung, R | |
| dc.contributor.author | Aziz, N | |
| dc.contributor.author | Turvey, SE | |
| dc.contributor.author | Knoppers, BM | |
| dc.contributor.author | Lathrop, M | |
| dc.contributor.author | Jones, S | |
| dc.contributor.author | Scherer, SW | |
| dc.contributor.author | Strug, LJ | |
| dc.date.accessioned | 2024-03-19T04:12:48Z | |
| dc.date.available | 2023-02-22 | |
| dc.date.available | 2024-03-19T04:12:48Z | |
| dc.date.issued | 2023-05-02 | |
| dc.identifier.citation | BMC Genom Data, 2023, 24, (1), pp. 26 | |
| dc.identifier.issn | 2730-6844 | |
| dc.identifier.issn | 2730-6844 | |
| dc.identifier.uri | http://hdl.handle.net/10453/176914 | |
| dc.description.abstract | 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.format | Electronic | |
| dc.language | eng | |
| dc.publisher | BMC | |
| dc.relation.ispartof | BMC Genom Data | |
| dc.relation.isbasedon | 10.1186/s12863-023-01128-3 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | SARS-CoV-2 | |
| dc.subject.mesh | COVID-19 | |
| dc.subject.mesh | Canada | |
| dc.subject.mesh | Genomics | |
| dc.subject.mesh | Whole Genome Sequencing | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Genomics | |
| dc.subject.mesh | Canada | |
| dc.subject.mesh | Whole Genome Sequencing | |
| dc.subject.mesh | COVID-19 | |
| dc.subject.mesh | SARS-CoV-2 | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | SARS-CoV-2 | |
| dc.subject.mesh | COVID-19 | |
| dc.subject.mesh | Canada | |
| dc.subject.mesh | Genomics | |
| dc.subject.mesh | Whole Genome Sequencing | |
| dc.title | HostSeq: a Canadian whole genome sequencing and clinical data resource. | |
| dc.type | Journal Article | |
| utslib.citation.volume | 24 | |
| utslib.location.activity | England | |
| pubs.organisational-group | University of Technology Sydney | |
| pubs.organisational-group | University of Technology Sydney/Faculty of Science | |
| utslib.copyright.status | open_access | * |
| dc.date.updated | 2024-03-19T04:12:46Z | |
| pubs.issue | 1 | |
| pubs.publication-status | Published online | |
| pubs.volume | 24 | |
| utslib.citation.issue | 1 |
Abstract:
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.
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