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Single-cell eQTL mapping reveals convergent glial–neuronal risk architecture in Parkinson’s disease
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Single-cell eQTL mapping reveals convergent glial–neuronal risk architecture in Parkinson’s disease

Zechuan Lin, Jacob Parker, Vanitha Nithianandam +19 more
April 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.04.24.720642
94
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Why this is interesting

By revealing that 51% of Parkinson's genetic risk operates through glia—overturning the neuron-centric paradigm—this single-cell atlas nearly doubles known risk genes and opens a new therapeutic tier targeting a convergent glial-neuronal vesiculopathy network.

QED claims analysis

Summary

Single-nucleus eQTL mapping across 1,197 individuals reveals that 51% of Parkinson's disease functional risk genes are regulated in glia, particularly oligodendrocytes and their precursors, with risk converging on a shared glial-neuronal vesiculopathy network involving vesicle cycling and antigen presentation pathways, thereby challenging the traditional neuron-centric view of PD and establishing a convergent glial-neuronal genetic architecture for this synucleinopathy.

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Main Claim 1 –

Over half of PD risk genes are glia-regulated

Supporting evidence

  • snASE validates allelic imbalance in 62% of risk genes
  • PD risk genes converge on vesicle cycling and antigen presentation
  • EBPL is an oligodendrocyte PD risk gene linked to myelin cholesterol
  • OPC-specific ITGA8 regulation implicates OPCs in α-synuclein spread
  • Lewy body burden modulates eQTL effects for 13 genes
  • Rare-variant LoF burden supports 18 identified PD risk genes
Main Claim 2 –

BIN3 drives Chr8q21.3 PD risk via vesicle dysfunction

Supporting evidence

  • BIN3 overexpression worsens α-synuclein pathology in Drosophila
  • BIN3 overexpression increases clathrin-mediated endocytosis in human neurons

Abstract

Synucleinopathies affect ∼15 million people and are classically divided into neuronal (Parkinson’s disease (PD), dementia with Lewy bodies) and glial (multiple system atrophy) disorders. Here we challenge this dichotomy. We functionally fine-map 90 PD GWAS signals across nine cell types in cortex and substantia nigra using disease-context, population-scale single-nucleus eQTL meta-analysis (N = 1,197), bulk brain eQTL analysis (N = 1,182), and Mendelian randomization. A stringent causal framework integrates single-nucleus allelic imbalance (snASE) with orthogonal validation. We identify 125 functional risk genes for 50 loci—nearly doubling supported genes—and assign genes and cell types to over half of GWAS signals. Unexpectedly, 51% of risk genes are regulated in glia, particularly oligodendrocytes and their precursors. Across cell types, risk converges on a shared glial–neuronal vesiculopathy network. These findings uncover a convergent glial-neuronal risk architecture and establish a single-cell atlas for context-aware gene discovery and precision therapeutics for PD.

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