Maria Zanti

This study analyzes breast cancer GWAS across multiple ancestries, finding similar heritability and genetic correlations, and identifies shared regulatory and cellular contexts.

This study uses saturation genome editing to assess BRCA1 variants across cell types, identifying functionally impactful variants and revealing context-dependent cancer risk.

The paper uses case-control data from over 400,000 women to classify BRCA1 and BRCA2 variants, finding high consistency with ClinVar annotations for 785 previously unclassified variants.

This study examines differences in polygenic risk score distributions across European populations and shows how country-specific calibration can improve breast cancer risk prediction.

This study identifies a Cyprus-specific SARS-CoV-2 mutation (S6059F) and assesses its potential association with increased viral virulence using computational methods.

This paper uses generalized linear models to identify SARS-CoV-2 mutations associated with changes in viral virulence, highlighting two mutations with opposing effects on deaths and cases per million.