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.

Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research / Daga, S., Fallerini, C., Baldassarri, M., Fava, F., Valentino, F., Doddato, G., Benetti, E., Furini, S., Giliberti, A., Tita, R., Amitrano, S., Bruttini, M., Meloni, I., Pinto, A.M., Raimondi, F., Stella, A., Biscarini, F., Picchiotti, N., Gori, M., Pinoli, P., et al.. - In: EUROPEAN JOURNAL OF HUMAN GENETICS. - ISSN 1018-4813. - 29:5(2021), pp. 745-759. [10.1038/s41431-020-00793-7]

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

Fava F.;Amitrano S.;Stella A.;Gori M.;Zanelli G.;Girardis M.;Venturelli S.;Sita M.;Cossarizza A.;Riva A.;Andretta F.;Gatti F.;Carella M.;Mussini C.;
2021

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.
2021
29
5
745
759
Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research / Daga, S., Fallerini, C., Baldassarri, M., Fava, F., Valentino, F., Doddato, G., Benetti, E., Furini, S., Giliberti, A., Tita, R., Amitrano, S., Bruttini, M., Meloni, I., Pinto, A.M., Raimondi, F., Stella, A., Biscarini, F., Picchiotti, N., Gori, M., Pinoli, P., et al.. - In: EUROPEAN JOURNAL OF HUMAN GENETICS. - ISSN 1018-4813. - 29:5(2021), pp. 745-759. [10.1038/s41431-020-00793-7]
Daga, S.; Fallerini, C.; Baldassarri, M.; Fava, F.; Valentino, F.; Doddato, G.; Benetti, E.; Furini, S.; Giliberti, A.; Tita, R.; Amitrano, S.; Brutti...espandi
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