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Journal article

Systematic assessment of COVID-19 host genetics using whole genome sequencing data

Abstract:
Courses of SARS-CoV-2 infections are highly variable, ranging from asymptomatic to lethal COVID-19. Though research has shown that host genetic factors contribute to this variability, cohort-based joint analyses of variants from the entire allelic spectrum in individuals with confirmed SARS-CoV-2 infections are still lacking. Here, we present the results of whole genome sequencing in 1,220 mainly vaccine-naïve individuals with confirmed SARS-CoV-2 infection, including 827 hospitalized COVID-19 cases. We observed the presence of autosomal-recessive or likely compound heterozygous monogenic disorders in six individuals, all of which were hospitalized and significantly younger than the rest of the cohort. We did not observe any suggestive causal variants in or around the established risk gene TLR7. Burden testing in the largest population subgroup (i.e., Europeans) suggested nominal enrichments of rare variants in coding and non-coding regions of interferon immune response genes in the overall analysis and male subgroup. Case-control analyses of more common variants confirmed associations with previously reported risk loci, with the key locus at 3p21 reaching genome-wide significance. Polygenic scores accurately captured risk in an age-dependent manner. By enabling joint analyses of different types of variation across the entire frequency spectrum, this data will continue to contribute to the elucidation of COVID-19 etiology.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.ppat.1012786

Authors


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Role:
Author
ORCID:
0000-0002-9780-7243


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Funder identifier:
https://ror.org/04pz7b180
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Funder identifier:
https://ror.org/018mejw64
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Funder identifier:
https://ror.org/0472cxd90


Publisher:
Public Library of Science
Journal:
PLoS Pathogens More from this journal
Volume:
20
Issue:
12
Article number:
e1012786
Publication date:
2024-12-23
Acceptance date:
2024-11-27
DOI:
EISSN:
1553-7374
ISSN:
1553-7366


Language:
English
Source identifiers:
2569991
Deposit date:
2025-01-07
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