Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility

Epidemiological and genetic studies on COVID-19 are currently hindered by inconsistent and limited testing policies to confirm SARS-CoV-2 infection. Recently, it was shown that it is possible to predict COVID-19 cases using cross-sectional self-reported disease-related symptoms. Here, we demonstrate...

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Detalles Bibliográficos
Autores principales: 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., Schiabor Barrett, Kelly M., 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357137/
https://www.ncbi.nlm.nih.gov/pubmed/34379666
http://dx.doi.org/10.1371/journal.pone.0255402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357137/
https://www.ncbi.nlm.nih.gov/pubmed/34379666
http://dx.doi.org/10.1371/journal.pone.0255402

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