ArticleNPJ Parkinson's disease2025
Peripheral immune cell-specific genes in Parkinson's disease uncovered by multi-omics with therapeutic implications.
Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
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Who cites it
5 citing papers in PubMed.
- From neuroinflammation to immune reprogramming: Nanozyme-Integrated nanoplatforms for neuroimmune modulation in Parkinson's disease.Materials today. Bio · 2026Article
- Single-Cell Transcriptome-Wide Mendelian Randomization and Colocalization Uncover Potential Immunocytes-Related Therapeutic Targets for Obesity.Journal of cellular and molecular medicine · 2026Article
- Article
- Immune Cell-Specific Regulatory Gene Prioritization in Low Back Pain Using Single-Cell eQTL-Informed Mendelian Randomization and Colocalization.Journal of pain research · 2026Article
- Lifting the Veil on Neuroinflammation in Parkinson's Disease: A Bibliometric Analysis.Journal of inflammation research · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Parkinson's disease (PD) is a complex neurodegenerative disorder with growing evidence suggests peripheral immunity plays a role in its pathogenesis. However, the specific peripheral immune cell types and gene expression profiles associated with PD remain unclear. In this study, we integrated single-cell expression quantitative trait loci (sc-eQTL) data from 14 immune cell types in the OneK1K cohort with large-scale genome-wide association study (GWAS) data for PD. Using Mendelian randomization (MR) and Bayesian colocalization analyses, we identified 28 immune-cell-specific eGenes with significant associations to PD risk, among which 24 showed strong or moderate evidence of shared genetic signals. Notable candidates included FDFT1, ARSA, CTSB, and HLA-DQA1, each displaying cell-type-specific associations in CD4
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.