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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\u2014nearly doubling supported genes\u2014and 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\u2013neuronal 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.<\/jats:p>","DOI":"10.64898\/2026.04.24.720642","type":"posted-content","created":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T03:25:55Z","timestamp":1777087555000},"source":"Crossref","is-referenced-by-count":0,"title":["Single-cell eQTL mapping reveals convergent glial\u2013neuronal risk architecture in Parkinson\u2019s disease"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2270-5194","authenticated-orcid":false,"given":"Zechuan","family":"Lin","sequence":"first","affiliation":[{"name":"Stephen & Denise Adams Center for Parkinson\u2019s Disease Research of Yale School of Medicine, New Haven, CT 06510"},{"name":"Aligning Science Across Parkinson\u2019s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA"},{"name":"APDA Center for Parkinson Precision Medicine,Yale, New 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