Zechuan Lin

The paper fine-maps PD GWAS signals across cell types, revealing convergent glial-neuronal risk genes and a shared vesiculopathy network.

This paper develops computational tools for allelic imbalance analysis using single-nucleus RNA-seq and demonstrates their application in a Parkinson's disease cohort.

This study integrates long-read WGS and single-nucleus RNA-seq to identify structural variants affecting gene expression in Parkinson's disease with cell type resolution.

This study identifies 1,111 PD-associated RNAs in blood and develops a multi-omics model with AUC 0.89 for PD diagnosis, offering insights into pathobiology and potential clinical applications.