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

"reviewer #1: no reviewer #2: no reviewer #3: no ---------------------------------------------------- data deposition if you have submitted a research article or front matter that has associated data that are not suitable for deposition in a subject-specific public repository (such as genbank or arrayexpress) one way to make that data available is to deposit it in the dryad digital repository .; journalid=pgenetics&manu=pgenetics-d-23-00893r1 more information about depositing data in dryad is available at http://www datadryad org/depositing . file s1 table (xlsx"

"I have read the journal’s policy and the authors of this manuscript have the following competing interests: LGF is a Without Compensation (WOC) employee at the VA Ann Arbor, a United States government facility. SB is a paid statistical reviewer for PLOS Medicine."

"LGF is supported by the University of Michigan Precision Health (grant number U063790). LGF and XS are also supported by the University of Michigan Precision Health (grant number U075994). SB is supported by the Wellcome Trust (grant number 225790/Z/22/Z) [https://wellcome.org/] and the United Kingdom Research and Innovation Medical Research Council (grant number MC_UU_00002/7) [https://www.ukri.org/councils/mrc/]. SL is supported by the Brain Pool Plus (BP+) Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (grant number 2020H1D3A2A03100666) [https://www.nrf.re.kr/eng/main]. BM is supported by the National Cancer Institute (grant number CA 046592) [https://www.cancer.gov/]. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript."