Phenome-wide association of 1809 phenotypes and COVID-19 disease progression in the Veterans Health Administration Million Veteran Program.

<h4>Background</h4>The risk factors associated with the stages of Coronavirus Disease-2019 (COVID-19) disease progression are not well known. We aim to identify risk factors specific to each state of COVID-19 progression from SARS-CoV-2 infection through death.<h4>Methods and results</h4>We included...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Rebecca J Song, Yuk-Lam Ho, Petra Schubert, Yojin Park, Daniel Posner, Emily M Lord, Lauren Costa, Hanna Gerlovin, Katherine E Kurgansky, Tori Anglin-Foote, Scott DuVall, Jennifer E Huffman, Saiju Pyarajan, Jean C Beckham, Kyong-Mi Chang, Katherine P Liao, Luc Djousse, David R Gagnon, Stacey B Whitbourne, Rachel Ramoni, Sumitra Muralidhar, Philip S Tsao, Christopher J O'Donnell, John Michael Gaziano, Juan P Casas, Kelly Cho, VA Million Veteran Program COVID-19 Science Initiative
Format:	Artigo
Język:	Inglês
Wydane:	Public Library of Science (PLoS) 2021-01-01
Seria:	PLoS ONE
Dostęp online:	https://doi.org/10.1371/journal.pone.0251651
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