Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predi...

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Bibliographic Details
Main Authors:	Fallerini, C, Picchiotti, N, Baldassarri, M, Zguro, K, Daga, S, Fava, F, Benetti, E, Amitrano, S, Bruttini, M, Palmieri, M, Croci, S, Lista, M, Beligni, G, Valentino, F, Meloni, I, Tanfoni, M, Minnai, F, Colombo, F, Cabri, E, Fratelli, M, Gabbi, C, Mantovani, S, Frullanti, E, Gori, M, Crawley, FP, Butler-Laporte, G, Richards, B, Zeberg, H, Lipcsey, M, Hultström, M, Ludwig, KU, Schulte, EC, Pairo-Castineira, E, Baillie, JK, Schmidt, A, Frithiof, R, Mari, F, Renieri, A, Furini, S, Nichol, A
Other Authors:	WES/WGS Working Group Within the HGI
Format:	Journal article
Language:	English
Published:	Springer Nature 2021

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

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