The different cut-offs and symptoms that were used by the Generation Scotland, Helix, Lifelines and NTR cohorts when applying the Menni COVID-19 prediction model to the datasets prior to running the GWAS.

van Blokland, Irene V.; Lanting, Pauline; Ori, Anil P. S.; Vonk, Judith M.; Warmerdam, Robert C. A.; Herkert, Johanna C.; Boulogne, Floranne; Claringbould, Annique; Lopera-Maya, Esteban A.; Bartels, Meike; Hottenga, Jouke-Jan; Ganna, Andrea; Karjalainen, Juha; Hayward, Caroline; Fawns-Ritchie, Chloe; Campbell, Archie; Porteous, David; Cirulli, Elizabeth T.; Barrett, Kelly M. Schiabor; Riffle, Stephen; Bolze, Alexandre; White, Simon; Tanudjaja, Francisco; Wang, Xueqing; Ramirez, Jimmy M.; Lim, Yan Wei; Lu, James T.; Washington, Nicole L.; de Geus, Eco J. C.; Deelen, Patrick; Boezen, H. Marike; Franke, Lude H.

doi:10.1371/journal.pone.0255402.s005

pone.0255402.s005.docx (12.96 kB)

The different cut-offs and symptoms that were used by the Generation Scotland, Helix, Lifelines and NTR cohorts when applying the Menni COVID-19 prediction model to the datasets prior to running the GWAS.

journal contribution

posted on 2021-08-11, 17:31 authored by Irene V. van Blokland, Pauline Lanting, Anil P. S. Ori, Judith M. Vonk, Robert C. A. Warmerdam, Johanna C. Herkert, Floranne Boulogne, Annique Claringbould, Esteban A. Lopera-Maya, Meike Bartels, Jouke-Jan Hottenga, Andrea Ganna, Juha Karjalainen, Caroline Hayward, Chloe Fawns-Ritchie, Archie Campbell, David Porteous, Elizabeth T. Cirulli, Kelly M. Schiabor Barrett, Stephen Riffle, Alexandre Bolze, Simon White, Francisco Tanudjaja, Xueqing Wang, Jimmy M. Ramirez III, Yan Wei Lim, James T. Lu, Nicole L. Washington, Eco J. C. de Geus, Patrick Deelen, H. Marike Boezen, Lude H. Franke

(DOCX)