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Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research

Medicine and Health

Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research

S. Daga, C. Fallerini, et al.

The GEN-COVID Multicenter Study has uniquely linked biospecimens from over 1000 individuals infected with SARS-CoV-2 to a wealth of clinical data. Discover the five distinct clinical categories identified in this groundbreaking research by Sergio Daga and colleagues, aiming to unravel the complexities of COVID-19 severity and genetic susceptibility.

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~3 min • Beginner • English
Abstract
Within the GEN-COVID Multicenter Study, biospecimens from more than 1000 SARS-CoV-2 positive individuals have thus far been collected in the GEN-COVID Biobank (GCB). Sample types include whole blood, plasma, serum, leukocytes, and DNA. The GCB links samples to detailed clinical data available in the GEN-COVID Patient Registry (GCPR). It includes hospitalized patients (74.25%), broken down into intubated, treated by CPAP-biPAP, treated with O2 supplementation, and without respiratory support (9.5%, 18.4%, 31.55% and 14.8%, respectively); and non-hospitalized subjects (25.75%), either pauci- or asymptomatic. More than 150 clinical patient-level data fields have been collected and analyzed for further statistics according to the organs/systems primarily affected by COVID-19: heart, liver, pancreas, kidneys, and other extra-pulmonary involvements. After clustering analysis, we identified five main clinical categories: (1) severe multisystemic failure with either thromboembolic or pancreatic variant; (2) cytokine storm type, either with liver involvement or moderate; (3) moderate heart failure, either with or without liver damage; (4) moderate multisystemic involvement, either with or without liver damage; (5) mild, either with or without hypoxia. GCB and GCPR are further linked to the GCGDR, which includes data from whole-exome sequencing and high-density SNP genotyping. The data are available for sharing through the Network for Italian Genomes, found within the COVID-19 dedicated section. The study objective is to systematize this comprehensive data collection and begin identifying multi-organ involvement in COVID-19, defining genetic parameters for infection susceptibility within the population, and mapping genetically COVID-19 severity and clinical complexity among patients.
Publisher
Springer Nature
Published On
Jan 17, 2021
Authors
Sergio Daga, Chiara Fallerini, Margherita Baldassarri, Francesca Fava, Fioriana Valentino, Gabriella Doddato, Elisa Benetti, Simone Furini, Annarita Giliberti, Rossella Tita, Sara Amitrano, Mirella Bruttini, Ilaria Meloni, Anna Maria Pinto, Francesco Raimondi, Alessandra Stella, Filippo Biscarini, Nicola Picchiotti, Marco Goni, Pietro Pinoli, Stefano Ceiri, Maurizio Sanarico, Francis P. Crawley, Giovanni Birollo, GEN-COVID Multicenter Study, Alessandra Renieri, Francesca Mari, Elisa Frullanti
Tags
SARS-CoV-2
COVID-19 severity
genetic susceptibility
clinical categories
biodata collection
multisystem involvement
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