Hampton L. Leonard

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.

The paper introduces a genome browser for Parkinson's disease genomic data, integrating WGS and CES samples with variant annotations and ancestry stratification.

This study investigates the role of SORL1 genetic variants in AD, RD, and PD across diverse populations, identifying variants associated with risk but no significant cumulative effect.

This study investigates ANO6's role in Parkinson's disease by analyzing common and rare variants across large datasets, finding no strong genetic association.

This study identifies sex-specific genetic risk factors for Parkinson's disease using GWAS across European populations, finding shared and distinct loci between males and females.

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

The paper investigates the association between DNAJC13 variants and Parkinson's disease across diverse ancestries but finds no significant association.

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 integrates GWAS meta-analysis with human brain cell mapping to identify genetic loci and cell types involved in tinnitus, implicating the amygdala and midbrain.

This study identifies genetic variants associated with Parkinson's disease in African and African admixed populations, highlighting differences from European and Asian populations.

MoVUS, a random forest model, classifies variants of uncertain significance in Alzheimer's and neurological disorders with high accuracy, prioritizing potentially pathogenic variants.

The paper develops epigenetic clocks using long-read DNA methylation data from diverse ancestries, showing improved aging predictions and identifying ancestry-specific aging pathways.

This paper analyzes genetic variation in Parkinson's disease across multiple ancestries, revealing ancestry-specific patterns and highlighting the importance of diverse populations in genetic research.

This study compares polygenic risk scores for Parkinson's disease across seven ancestries, finding varying predictive accuracy and highlighting the need for ancestry-specific models.

This study performs APOE-stratified GWAS to uncover genetic mechanisms underlying Alzheimer's disease risk and response to therapies.

A cross-European Parkinson's disease GWAS meta-analysis of 63,555 cases, 17,700 proxy cases and 1,746,386 controls finds 134 risk loci (59 novel), 157 independent signals, and brain-enriched risk genes.

The paper introduces the Neurodegenerative Disease Knowledge Portal (NDKP), an open-science platform aggregating genomic datasets for neurodegenerative diseases to enable collaborative analysis and discovery.

The paper evaluates the NeuroBooster array's performance in genotyping pathogenic variants in Parkinson's disease across ancestries and validates their frequencies in diverse populations.

The paper identifies a non-coding risk variant in GBA1 associated with Parkinson's disease in African ancestry populations, showing it disrupts splicing and reduces glucocerebrosidase activity.

GenoTools provides a Python package for genotype data QC, ancestry estimation, and GWAS, enabling scalable and reproducible analysis of large genetic datasets.

The paper introduces the NeuroBooster Array, a genome-wide genotyping platform designed to study neurological disorders across diverse populations by capturing genetic variation and enabling imputation of disease-related variants.

This study investigates the genetic role of the NLRP3-inflammasome in Parkinson's disease using polygenic risk scores and Mendelian randomization, finding no significant associations.

This paper reviews 123 neurodegenerative disease GWAS and finds 82% focus on European ancestry, with non-European studies identifying fewer risk loci.

The paper identifies druggable target genes for neurodegenerative diseases using Mendelian Randomization and provides a web platform for exploring therapeutic targets.

This paper conducts a multi-ancestry genome-wide meta-analysis of Parkinson's disease, identifying 78 independent loci and 23 genes associated with PD risk.

Intronic GBA1 variant rs3115534-G, common in African and African admixed ancestry but rare elsewhere, raises Parkinson's disease risk (OR 1.58) and lowers onset age.

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 identifies immune-related cell types and genetic loci associated with three neurodegenerative diseases using single cell RNA sequencing and genome-wide association studies.

The paper performs a genome-wide meta-analysis of CSF biomarkers in Alzheimer's and Parkinson's disease cohorts to identify genetic associations and disease-specific patterns.