An explainable model of host genetic interactions linked to COVID-19 severity

We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated w...

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Detalles Bibliográficos
Autores principales: Onoja, Anthony, Picchiotti, Nicola, Fallerini, Chiara, Baldassarri, Margherita, Fava, Francesca, Colombo, Francesca, Chiaromonte, Francesca, Renieri, Alessandra, Furini, Simone, Raimondi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606365/
https://www.ncbi.nlm.nih.gov/pubmed/36289370
http://dx.doi.org/10.1038/s42003-022-04073-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606365/
https://www.ncbi.nlm.nih.gov/pubmed/36289370
http://dx.doi.org/10.1038/s42003-022-04073-6

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