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Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research
Authors:Sergio Daga  Chiara Fallerini  Margherita Baldassarri  Francesca Fava  Floriana 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 Gori  Pietro Pinoli  Stefano Ceri  Maurizio Sanarico  Francis P. Crawley  Giovanni Birolo  GEN-COVID Multicenter Study  Alessandra Renieri  Francesca Mari  Elisa Frullanti
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 binarized for further statistics according to the organs/systems primarily affected by COVID-19: heart, liver, pancreas, kidney, chemosensors, innate or adaptive immunity, and clotting system. Hierarchical clustering analysis identified five main clinical categories: (1) severe multisystemic failure with either thromboembolic or pancreatic variant; (2) cytokine storm type, either severe with liver involvement or moderate; (3) moderate heart type, either with or without liver damage; (4) moderate multisystemic involvement, either with or without liver damage; (5) mild, either with or without hyposmia. 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.Subject terms: Genetics research, Viral infection
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