Article ; Online: Canadian COVID-19 host genetics cohort replicates known severity associations.
2024 Volume 20, Issue 3, Page(s) e1011192
Abstract: The 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 ... ...
| Abstract | The 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. |
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| MeSH term(s) | Humans ; COVID-19/genetics ; SARS-CoV-2/genetics ; Genetic Predisposition to Disease ; Polymorphism, Single Nucleotide ; Canada/epidemiology ; Genome-Wide Association Study ; Membrane Transport Proteins ; Forkhead Transcription Factors ; North American People |
| Chemical Substances | SLC6A20 protein, human ; Membrane Transport Proteins ; FOXP4 protein, human ; Forkhead Transcription Factors |
| Language | English |
| Publishing date | 2024-03-22 |
| Publishing country | United States |
| Document type | Meta-Analysis ; Journal Article |
| ZDB-ID | 2186725-2 |
| ISSN | 1553-7404 ; 1553-7390 |
| ISSN (online) | 1553-7404 |
| ISSN | 1553-7390 |
| DOI | 10.1371/journal.pgen.1011192 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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