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Canadian COVID-19 host genetics cohort replicates known severity associations

dc.contributor.authorGarg, Elika
dc.contributor.authorArguello-Pascualli, Paola
dc.contributor.authorVishnyakova, Olga
dc.contributor.authorHalevy, Anat R.
dc.contributor.authorYoo, Samantha
dc.contributor.authorBrooks, Jennifer D.
dc.contributor.authorBull, Shelley B.
dc.contributor.authorGagnon, France
dc.contributor.authorGreenwood, Celia M. T.
dc.contributor.authorHung, Rayjean J.
dc.contributor.authorLawless, Jerald F.
dc.contributor.authorLerner-Ellis, Jordan
dc.contributor.authorDennis, Jessica K.
dc.contributor.authorAbraham, Rohan J. S.
dc.contributor.authorGarant, Jean-Michel
dc.contributor.authorThiruvahindrapuram, Bhooma
dc.contributor.authorJones, Steven J. M.
dc.contributor.authorCGEn HostSeq Initiative
dc.contributor.authorStrug, Lisa J.
dc.contributor.authorPaterson, Andrew D.
dc.contributor.authorSun, Lei
dc.contributor.authorElliott, Lloyd T.
dc.date.accessioned2025-08-28T15:18:05Z
dc.date.available2025-08-28T15:18:05Z
dc.date.issued2024
dc.description© 2024 Garg et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractThe HostSeq initiative recruited 10,059 Canadians infected with SARS-CoV-2 between March 2020 and March 2023, obtained clinical information on their disease experience and whole genome sequenced (WGS) their DNA. We analyzed the WGS data for genetic contributors to severe COVID-19 (considering 3,499 hospitalized cases and 4,975 non-hospitalized after quality control). We investigated the evidence for replication of loci reported by the International Host Genetics Initiative (HGI); analyzed the X chromosome; conducted rare variant gene-based analysis and polygenic risk score testing. Population stratification was adjusted for using meta-analysis across ancestry groups. We replicated two loci identified by the HGI for COVID-19 severity: the LZTFL1/SLC6A20 locus on chromosome 3 and the FOXP4 locus on chromosome 6 (the latter with a variant significant at P < 5E-8). We found novel significant associations with MRAS and WDR89 in gene-based analyses, and constructed a polygenic risk score that explained 1.01% of the variance in severe COVID-19. This study provides independent evidence confirming the robustness of previously identified COVID-19 severity loci by the HGI and identifies novel genes for further investigation.
dc.description.sponsorshipCanadian Institutes of Health Research, Project Grant 470360 || Canadian Institutes of Health Research, Foundation Grant 167282 || Canada Research Chairs || Canadian Institutes of Health Research, Foundation Grant VR4-172753 || Michael Smith Health Research, BC Scholar Award SCH-2022-2784.
dc.identifier.urihttps://doi.org/10.1371/journal.pgen.1011192
dc.identifier.urihttps://hdl.handle.net/10012/22305
dc.language.isoen
dc.publisherPublic Library of Science (PLOS)
dc.relation.ispartofseriesPLOS Genetics; 20(3); e1011192
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectgenome-wide association studies
dc.subjectcovid 19
dc.subjectCOVID 19
dc.subjectgenetic loci
dc.subjectgenomics
dc.subjectmetaanalysis
dc.subjectgenome analysis
dc.subjectmedical risk factors
dc.subjectgenetics of disease
dc.titleCanadian COVID-19 host genetics cohort replicates known severity associations
dc.typeArticle
dcterms.bibliographicCitationGarg, E., Arguello-Pascualli, P., Vishnyakova, O., Halevy, A. R., Yoo, S., Brooks, J. D., Bull, S. B., Gagnon, F., Greenwood, C. M., Hung, R. J., Lawless, J. F., Lerner-Ellis, J., Dennis, J. K., Abraham, R. J., Garant, J.-M., Thiruvahindrapuram, B., Jones, S. J., Strug, L. J., Paterson, A. D., … Elliott, L. T. (2024). Canadian Covid-19 host genetics cohort replicates known severity associations. PLOS Genetics, 20(3). https://doi.org/10.1371/journal.pgen.1011192
uws.contributor.affiliation1Faculty of Mathematics
uws.contributor.affiliation2Statistics and Actuarial Science
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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