Ontology highlight
ABSTRACT:
SUBMITTER: Fallerini C
PROVIDER: S-EPMC8661833 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Fallerini Chiara C Picchiotti Nicola N Baldassarri Margherita M Zguro Kristina K Daga Sergio S Fava Francesca F Benetti Elisa E Amitrano Sara S Bruttini Mirella M Palmieri Maria M Croci Susanna S Lista Mirjam M Beligni Giada G Valentino Floriana F Meloni Ilaria I Tanfoni Marco M Minnai Francesca F Colombo Francesca F Cabri Enrico E Fratelli Maddalena M Gabbi Chiara C Mantovani Stefania S Frullanti Elisa E Gori Marco M Crawley Francis P FP Butler-Laporte Guillaume G Richards Brent B Zeberg Hugo H Lipcsey Miklos M Hultström Michael M Ludwig Kerstin U KU Schulte Eva C EC Pairo-Castineira Erola E Baillie John Kenneth JK Schmidt Axel A Frithiof Robert R Mari Francesca F Renieri Alessandra A Furini Simone S
Human genetics 20211210 1
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 predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regress ...[more]