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Open Access
Peer-reviewed
Research Article
Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks
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Lars G. Fritsche ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Visualization, Writing – original draft, Writing – review & editing
* E-mail: larsf@umich.edu (LGF); bhramar@umich.edu (BM)
Current address: Department of Biostatistics, School of Public Health University of Michigan, 1415 Washington Heights, SPH Tower Room 4633, Ann Arbor, Michigan 48109, United States of America
Affiliations Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America, Center for Precision Health Data Science, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
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Kisung Nam,
Roles Formal analysis, Software, Visualization, Writing – review & editing
Affiliation Graduate School of Data Science, Seoul National University, Seoul, South Korea
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Jiacong Du,
Roles Writing – original draft, Writing – review & editing
Affiliations Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America, Center for Precision Health Data Science, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
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Ritoban Kundu,
Roles Writing – review & editing
Affiliations Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America, Center for Precision Health Data Science, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
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Maxwell Salvatore,
Roles Writing – review & editing
Affiliations Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America, Center for Precision Health Data Science, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
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Xu Shi,
Roles Writing – review & editing
Affiliation Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
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Seunggeun Lee,
Roles Supervision, Writing – review & editing
Affiliation Graduate School of Data Science, Seoul National University, Seoul, South Korea
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Stephen Burgess,
Roles Writing – review & editing
Affiliations MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom, Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
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Bhramar Mukherjee
Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing
* E-mail: larsf@umich.edu (LGF); bhramar@umich.edu (BM)
Affiliations Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America, Center for Precision Health Data Science, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America, Michigan Institute for Data Science, University of Michigan, Ann Arbor, Michigan, United States of America
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Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks
- Lars G. Fritsche,
- Kisung Nam,
- Jiacong Du,
- Ritoban Kundu,
- Maxwell Salvatore,
- Xu Shi,
- Seunggeun Lee,
- Stephen Burgess,
- Bhramar Mukherjee
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- Published: December 19, 2023
- https://doi.org/10.1371/journal.pgen.1010907