Your browser doesn't support javascript.
Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research.
Daga, Sergio; Fallerini, Chiara; Baldassarri, Margherita; Fava, Francesca; Valentino, Floriana; Doddato, Gabriella; Benetti, Elisa; Furini, Simone; Giliberti, Annarita; Tita, Rossella; Amitrano, Sara; Bruttini, Mirella; Meloni, Ilaria; Pinto, Anna Maria; Raimondi, Francesco; Stella, Alessandra; Biscarini, Filippo; Picchiotti, Nicola; Gori, Marco; Pinoli, Pietro; Ceri, Stefano; Sanarico, Maurizio; Crawley, Francis P; Birolo, Giovanni; Renieri, Alessandra; Mari, Francesca; Frullanti, Elisa.
  • Daga S; Medical Genetics, University of Siena, Siena, Italy.
  • Fallerini C; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Baldassarri M; Medical Genetics, University of Siena, Siena, Italy.
  • Fava F; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Valentino F; Medical Genetics, University of Siena, Siena, Italy.
  • Doddato G; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Benetti E; Medical Genetics, University of Siena, Siena, Italy.
  • Furini S; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Giliberti A; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
  • Tita R; Medical Genetics, University of Siena, Siena, Italy.
  • Amitrano S; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Bruttini M; Medical Genetics, University of Siena, Siena, Italy.
  • Meloni I; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Pinto AM; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Raimondi F; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Stella A; Medical Genetics, University of Siena, Siena, Italy.
  • Biscarini F; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Picchiotti N; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
  • Gori M; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
  • Pinoli P; Medical Genetics, University of Siena, Siena, Italy.
  • Ceri S; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Sanarico M; Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
  • Crawley FP; Medical Genetics, University of Siena, Siena, Italy.
  • Birolo G; Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.
  • Renieri A; Scuola Normale Superiore, Pisa, Italy.
  • Mari F; CNR-Consiglio Nazionale delle Ricerche, Istituto di Biologia e Biotecnologia Agraria (IBBA), Milano, Italy.
  • Frullanti E; CNR-Consiglio Nazionale delle Ricerche, Istituto di Biologia e Biotecnologia Agraria (IBBA), Milano, Italy.
Eur J Hum Genet ; 29(5): 745-759, 2021 05.
Article in English | MEDLINE | ID: covidwho-1033853
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(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Specimen Handling / Registries / Biological Specimen Banks / Genetic Predisposition to Disease / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Variants Limits: Adolescent / Adult / Female / Humans / Male Country/Region as subject: Europa Language: English Journal: Eur J Hum Genet Journal subject: Genetics, Medical Year: 2021 Document Type: Article Affiliation country: S41431-020-00793-7

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Specimen Handling / Registries / Biological Specimen Banks / Genetic Predisposition to Disease / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Variants Limits: Adolescent / Adult / Female / Humans / Male Country/Region as subject: Europa Language: English Journal: Eur J Hum Genet Journal subject: Genetics, Medical Year: 2021 Document Type: Article Affiliation country: S41431-020-00793-7