Micol Avenali

The paper identifies rare noncoding variants associated with Parkinson's disease using multi-omic data from over 3.3 million nuclei.

This study identifies genetic associations between lysosomal genes and Parkinson's disease risk across diverse populations using GWAS and whole genome sequencing data.

This paper combines two global monogenic Parkinson's disease initiatives to create a comprehensive cohort and infrastructure for studying multi-ancestry genetic factors and disease expression.

The paper establishes a protocol for whole-genome sequencing to identify genetic causes of Parkinson's disease, focusing on monogenic variants and their clinical implications.

The paper compares RNA profiles in plasma-derived large and small extracellular vesicles from neurodegenerative disease patients and healthy controls, identifying disease-specific miRNA signatures.