Author
University of Siena
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
Mutual co-authors in cluster
6 papers
Recent·Most cited
Chiara Fallerini, Nicola Picchiotti, Margherita Baldassarri…·Pier Giorgio Scotton
The paper develops a machine learning model to predict COVID-19 severity using exonic variants from whole exome sequencing data, finding that variants across all frequency categories contribute to severity.
Margherita Baldassarri, Nicola Picchiotti, Francesca Fava…·Francesca Andretta
The paper identifies shorter androgen receptor polyQ alleles as protective against severe COVID-19 in males using machine learning on whole-exome sequencing data from the GEN-COVID cohort.
Sergio Daga, Chiara Fallerini, Margherita Baldassarri…·Elisa Frullanti
The paper describes a biobanking initiative collecting genetic and clinical data from over 1,000 SARS-CoV-2-positive individuals to study multi-organ involvement and genetic factors in COVID-19 severity.
Nicola Picchiotti, Elisa Benetti, Chiara Fallerini…·Simone Furini
The paper proposes a post-Mendelian genetic model integrating common and rare variants to predict severe vs. mild COVID-19 outcomes in an Italian cohort.
Elisa Benetti, Annarita Giliberti, Arianna Emiliozzi…·Francesca Mari
The paper reports Whole Exome Sequencing analysis of 35 hospitalized COVID-19 patients, identifying pathogenic mutations linked to virus infection susceptibility and disease progression.
Elisa Benetti, Rossella Tita, Ottavia Spiga…·Carmelo Piscopo
The paper identifies ACE2 gene variants associated with interindividual variability in COVID-19 susceptibility in the Italian population using whole-exome-sequencing data.