Anastasia Illarionova

The paper identifies a disease-associated microglial state in AD using transcriptomics and shows a compound can reverse it.

The paper develops URSA, a method to quantify DNA repair activity at the CAG repeat tract in HD, showing it correlates with somatic instability and can be measured rapidly in blood cells.

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

The paper investigates how the H1/H1 risk allele at the MAPT locus increases susceptibility to mild chronic oxidative stress in iNeurons and identifies FDA-approved compounds that rescue this vulnerability.

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 outlines the protocol for integrating genetic and clinical data from a global cohort of over 150,000 participants to study the genetic causes of sporadic Parkinson's disease.

The paper describes a virtual hackathon event that brought together early career scientists to develop tools for Parkinson's disease research using open science principles.

The paper presents a multi-layered molecular dataset from iPSC-derived dopaminergic neurons to model Parkinson's disease genetic risk and provides a data browser for accessing these resources.

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.

This study identifies 3,154 high-confidence structural variants in Parkinson's disease using short-read sequencing and validates some with long-read data, highlighting limitations of short-read methods.

The paper presents a GWAS locus browser for Parkinson's disease that helps prioritize genes associated with risk variants from multiple GWAS studies.