Author

Mirjam Lista

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.

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Chiara FalleriniiD· 2 shared Chiara GabbiiD· 2 shared Elisa BenettiiD· 2 shared Elisa FrullantiiD· 2 shared Floriana Valentino· 2 shared Francesca FavaiD· 2 shared Francis P. CrawleyiD· 2 shared Giada BeligniiD· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Chiara FalleriniORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

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

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