Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk scor...
Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
To overcome the limitations associated with the collection and curation of COVID-19 outcome data in biobanks, this study proposes the use of polygenic risk scores (PRS) as reliable proxies of COVID-19 severity across three large biobanks: the Michigan Genomics Initiative (MGI), UK Biobank (UKB), and NIH All of Us. The goal is to identify associatio...
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Full title
Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks
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TN_cdi_plos_journals_3069179336
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069179336
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ISSN
1553-7404,1553-7390
E-ISSN
1553-7404
DOI
10.1371/journal.pgen.1010907
