Arianna Landini

This study expands the human plasma proteome analysis using an enhanced SomaScan platform, identifying new genetic associations and disease mechanisms beyond the classical secretome.

This study uses 3D diffusion autoencoders to derive latent cardiac MRI phenotypes, finds they share a genetic basis with cardiometabolic traits, and shows predictive power for disease risk.

The paper combines natural and engineered genetic variation to identify 22 non-coding variants affecting haematological traits and shows how a CUX1 variant impacts megakaryopoiesis.

This study identifies genetic determinants of endothelial cell molecular traits and their overlap with disease GWAS loci, revealing shared and unique mechanisms in non-communicable diseases.

The paper identifies 16 genomic loci associated with IgG galactosylation through GWAS and validates three genes using CRISPR/dCas9 in an in vitro system.

The paper uses exome sequencing to identify rare variants in glycosyltransferase genes affecting transferrin and IgG glycosylation, linking them to disease-related traits.

The paper identifies sex-specific genetic loci associated with plasma bile acid levels using GWAS in a population-based cohort.

The paper identifies genetic loci regulating glycosylation of transferrin and IgG, finding both shared and protein-specific associations and proposing tissue-specific transcription factor regulation.