Renato Umeton

Multi-omics biomarkers aid prostate cancer prognostication

This study identifies multi-omics prognostic signatures for prostate cancer using transcriptomics and metabolomics data, showing their ability to stratify patients into distinct risk groups.

GWAS-associated variants, non-genetic factors, and transient transcriptome in Multiple Sclerosis etiopathogenesis: a colocalization analysis

This paper performs a colocalization analysis to explore how GWAS variants, non-genetic factors, and the transient transcriptome contribute to MS etiopathogenesis.

Circulating U13 small nucleolar RNA as a candidate biomarker for Huntington's disease

The paper identifies SNORD13 as a circulating biomarker for Huntington's disease, showing higher levels in HD patients compared to controls and correlating with disease status.

Pancreatic cancer risk predicted from disease trajectories using deep learning

This paper uses deep learning to predict pancreatic cancer risk from clinical disease trajectories in two large datasets, achieving higher accuracy than models without temporal information.

Enrichment analysis of GWAS data in autoimmunity delineates the multiple sclerosis-Epstein Barr virus association

This study identifies a link between Epstein Barr virus and multiple sclerosis through enrichment analysis of GWAS data and biological validation.

Significant enrichment of Herpesvirus interactors in GWAS data suggests causal inferences for the association between Epstein Barr virus and multiple sclerosis

The paper identifies significant enrichment of Herpesvirus interactors in GWAS data, suggesting a causal role for Epstein-Barr virus in multiple sclerosis.