Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.

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Title: Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.
Authors: Fritsche, Lars G.1,2 (AUTHOR) larsf@umich.edu, Nam, Kisung3 (AUTHOR), Du, Jiacong1,2 (AUTHOR), Kundu, Ritoban1,2 (AUTHOR), Salvatore, Maxwell1,2 (AUTHOR), Shi, Xu1 (AUTHOR), Lee, Seunggeun3 (AUTHOR), Burgess, Stephen4,5 (AUTHOR), Mukherjee, Bhramar1,2,6 (AUTHOR) larsf@umich.edu
Source: PLoS Genetics. 12/19/2023, Vol. 19 Issue 12, p1-28. 28p.
Database: Academic Search Ultimate
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  Data: Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Genetics%22">PLoS Genetics</searchLink>. 12/19/2023, Vol. 19 Issue 12, p1-28. 28p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=174324124
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