Jifeng Guo

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

The paper introduces SEAD, an Asian reference panel that improves rare variant imputation and GWAS analysis, identifying a novel association between SNTG1 and hip BMD.

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 evaluates 24 computational methods for predicting non-coding variant function and pathogenicity across four benchmark datasets, finding varying performance across different variant types.

This study shows that deficiency in DAGLB, an endocannabinoid synthase, contributes to Parkinson's disease by impairing dopaminergic neuron function and motor learning, with potential therapeutic implications for 2-AG augmentation.