Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy

Victoria N Parikh, Alexander G Ioannidis, David Jimenez-Morales, John E Gorzynski, Hannah N De Jong, Xiran Liu, Jonasel Roque, Victoria P Cepeda-Espinoza, Kazutoyo Osoegawa, Chris Hughes, Shirley C Sutton, Nathan Youlton, Ruchi Joshi, David Amar, Yosuke Tanigawa, Douglas Russo, Justin Wong, Jessie T Lauzon, Jacob Edelson, Daniel Mas Montserrat, Yongchan Kwon, Simone Rubinacci, Olivier Delaneau, Lorenzo Cappello, Jaehee Kim, Massa J Shoura, Archana N Raja, Nathaniel Watson, Nathan Hammond, Elizabeth Spiteri, Kalyan C Mallempati, Gonzalo Montero-Martín, Jeffrey Christle, Jennifer Kim, Anna Kirillova, Kinya Seo, Yong Huang, Chunli Zhao, Sonia Moreno-Grau, Steven G Hershman, Karen P Dalton, Jimmy Zhen, Jack Kamm, Karan D Bhatt, Alina Isakova, Maurizio Morri, Thanmayi Ranganath, Catherine A Blish, Angela J Rogers, Kari Nadeau, Samuel Yang, Andra Blomkalns, Ruth O’Hara, Norma F Neff, Christopher DeBoever, Sándor Szalma, Matthew T Wheeler, Christian M Gates, Kyle Farh, Gary P Schroth, Phil Febbo, Francis DeSouza, Omar E Cornejo, Marcelo Fernandez-Vina, Amy Kistler, Julia A Palacios, Benjamin A Pinsky, Carlos D Bustamante, Manuel A Rivas, Euan A Ashley

Nature Communications, 2022

DOI:10.1038/s41467-022-32397-8

DOI:10.1038/s41467-022-32397-8

Recommended citation: Parikh, V. N., Ioannidis, A. G., Jimenez-Morales, D., Gorzynski, J. E., De Jong, H. N., Liu, X., ... & Ashley, E. A. (2022). "Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy." Nature Communications, 13(1), 5107..