Lesley Wu

This study identifies pathogenic and intermediate repeat expansions in Parkinson's disease and parkinsonism across 11 ancestries, highlighting ATXN2's role in PD risk and ancestry-specific patterns.

CNV-Finder uses deep learning to detect copy number variations from array data, improving accuracy and reducing manual workload for downstream analyses.

The paper assesses the frequency of dystonia-linked pathogenic variants in Parkinson's disease patients and finds they are present in 0.57% of cases, with GCH1 being the most common gene affected.

This study identifies genetic variants associated with REM sleep behavior disorder in Parkinson's disease and explores genetic correlations with neuropsychiatric traits.

The paper reports genetic findings from a UK-wide study of early-onset and familial Parkinson's disease, identifying pathogenic variants in known PD genes and highlighting the need for further monogenic causes.

This paper identifies three novel genetic variants associated with levodopa-induced dyskinesia in Parkinson's disease and confirms associations with ANKK1 and BDNF, while also finding gender, age at onset, and anxiety as risk factors.

This study identifies genetic variants associated with motor progression in Parkinson's disease using GWAS and functional analysis.

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.