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Clinical and molecular characterization of COVID-19 hospitalized patients
Elisa Benetti; Annarita Giliberti; Arianna Emiliozzi; Floriana Velentino; Laura Bergantini; Chiara Fallerini; Federico Anedda; Sara Amitrano; Edoardo Conticini; Rossella Tita; Miriana DAlessandro; Francesca Fava; Simona Marcantonio; Margherita Baldassarri; Mirella Bruttini; Maria Antonietta Mazzei; Francesca Montagnani; Marco Mandala; Elena Bargagli; Simone Furini; - COVID-19 MULTICENTER STUDY; Alessandra Renieri; Francesca Mari.
Afiliação
  • Elisa Benetti; Department of Medical Biotechnologies, University of Siena, Italy
  • Annarita Giliberti; Medical Genetics, University of Siena, Italy
  • Arianna Emiliozzi; Department of Medical Biotechnologies, University of Siena, Italy; Dept of Specialized and Internal Medicine, Tropical and Infectious Diseases Unit
  • Floriana Velentino; Medical Genetics, University of Siena, Italy
  • Laura Bergantini; Unit of Respiratory Diseases and Lung Transplantation, Department of Internal and Specialist Medicine, University of Siena
  • Chiara Fallerini; Medical Genetics, University of Siena, Italy
  • Federico Anedda; Department of Emergency and Urgency, Medicine, Surgery and Neurosciences, Unit of Intensive Care Medicine, Siena University Hospital, Italy
  • Sara Amitrano; Genetica Medica, Azienda Ospedaliera Universitaria Senese, Italy
  • Edoardo Conticini; Rheumatology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Policlinico Le Scotte, Italy
  • Rossella Tita; Genetica Medica, Azienda Ospedaliera Universitaria Senese, Italy
  • Miriana DAlessandro; Unit of Respiratory Diseases and Lung Transplantation, Department of Internal and Specialist Medicine, University of Siena
  • Francesca Fava; Medical Genetics, University of Siena, Italy; Genetica Medica, Azienda Ospedaliera Universitaria Senese, Italy
  • Simona Marcantonio; Department of Emergency and Urgency, Medicine, Surgery and Neurosciences, Unit of Intensive Care Medicine, Siena University Hospital, Italy
  • Margherita Baldassarri; Medical Genetics, University of Siena, Italy
  • Mirella Bruttini; Genetica Medica, Azienda Ospedaliera Universitaria Senese, Italy
  • Maria Antonietta Mazzei; Department of Medical, Surgical and Neuro Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Italy
  • Francesca Montagnani; Department of Medical Biotechnologies, University of Siena, Italy; Dept of Specialized and Internal Medicine, Tropical and Infectious Diseases Unit
  • Marco Mandala; Otolaryngology Unit, University of Siena, Italy
  • Elena Bargagli; Unit of Respiratory Diseases and Lung Transplantation, Department of Internal and Specialist Medicine, University of Siena
  • Simone Furini; Department of Medical Biotechnologies, University of Siena, Italy
  • - COVID-19 MULTICENTER STUDY;
  • Alessandra Renieri; Medical Genetics, University of Siena, Italy; Genetica Medica, Azienda Ospedaliera Universitaria Senese, Italy
  • Francesca Mari; Medical Genetics, University of Siena, Italy; Genetica Medica, Azienda Ospedaliera Universitaria Senese, Italy
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20108845
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ABSTRACT
Clinical and molecular characterization by Whole Exome Sequencing (WES) is reported in 35 COVID-19 patients attending the University Hospital in Siena, Italy, from April 7 to May 7, 2020. Eighty percent of patients required respiratory assistance, half of them being on mechanical ventilation. Fiftyone percent had hepatic involvement and hyposmia was ascertained in 3 patients. Searching for common genes by collapsing methods against 150 WES of controls of the Italian population failed to give straightforward statistically significant results with the exception of two genes. This result is not unexpected since we are facing the most challenging common disorder triggered by environmental factors with a strong underlying heritability (50%). The lesson learned from Autism-Spectrum-Disorders prompted us to re-analyse the cohort treating each patient as an independent case, following a Mendelian-like model. We identified for each patient an average of 2.5 pathogenic mutations involved in virus infection susceptibility and pinpointing to one or more rare disorder(s). To our knowledge, this is the first report on WES and COVID-19. Our results suggest a combined model for COVID-19 susceptibility with a number of common susceptibility genes which represent the favorite background in which additional host private mutations may determine disease progression.
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Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Cohort_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint