Author

Giada Beligni

University of SienaORCID 0000-0002-9506-217XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 4

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 4 Approach:statistical model· 3 Research Focus:differential expression· 2 Assay:whole-exome sequencing· 2 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chiara FalleriniiD· 4 shared Elisa BenettiiD· 4 shared Elisa FrullantiiD· 4 shared Francesca FavaiD· 4 shared Margherita BaldassarriiD· 4 shared Maria PalmieriiD· 4 shared Nicola PicchiottiiD· 4 shared Sergio DagaiD· 4 shared

Activity by Year

2021-2021 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersGenetic & Genomic Medicine

Chiara FalleriniORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

The polymorphism L412F in TLR3 inhibits autophagy and is a marker of severe COVID-19 in males.

Susanna Croci, Mary Anna Venneri, Stefania Mantovani, Chiara Fallerini, Elisa Benetti, Nicola Picchiotti, Federica Campolo, Francesco Imperatore, Maria Palmieri, Sergio Daga, Chiara Gabbi, Francesca Montagnani, Giada Beligni, Ticiana D.J. Farias, Miriam Lucia Carriero, , Ilaria Meloni

The paper shows that the L412F polymorphism in TLR3 is associated with severe COVID-19 in males by inhibiting autophagy and reducing TNF production.

Autophagy · Dec 29, 2021Peer-reviewedGenetic & Genomic Medicine

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity.

Chiara Fallerini, Nicola Picchiotti, Margherita Baldassarri, Kristina Zguro, Sergio Daga, Francesca Fava, Elisa Benetti, Sara Amitrano, Mirella Bruttini, Maria Palmieri, Susanna Croci, Mirjam Lista, Giada Beligni, Floriana Valentino, Ilaria Meloni, , 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.

Human Genetics · Dec 10, 2021Peer-reviewedGenetic & Genomic Medicine

SELP Asp603Asn and severe thrombosis in COVID-19 males: implication for anti P-selectin monoclonal antibodies treatment

Chiara Fallerini, Sergio Daga, Elisa Benetti, Nicola Picchiotti, Kristina Zguro, Francesca Catapano, Virginia Baroni, Simone Lanini, Alessandro Bucalossi, Giuseppe Marotta, Francesca Colombo, Margherita Baldassarri, Francesca Fava, Giada Beligni, Laura Di Sarno, , Francesca Mari

The paper identifies a genetic variant in the SELP gene associated with increased thrombosis risk in male COVID-19 patients, suggesting potential for anti-P-selectin antibody therapy.

Journal of Hematology & Oncology · Aug 16, 2021Peer-reviewedGenetic & Genomic Medicine

Post-Mendelian genetic model in COVID-19

Nicola Picchiotti, Elisa Benetti, Chiara Fallerini, Sergio Daga, Margherita Baldassarri, Francesca Fava, Kristina Zguro, Floriana Valentino, Gabriella Doddato, Annarita Giliberti, Rossella Tita, Sara Amitrano, Mirella Bruttini, Laura Di Sarno, Diana A. Alaverdian, , 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.

Cardiology and Cardiovascular Medicine · Jan 1, 2021Peer-reviewedGenetic & Genomic Medicine