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Updated: Jan 13, 2026

Author Spotlight: Generating Neuronal Phenotypic Profiles - A Protocol to Culture and Image Human Midbrain Dopaminergic Neurons
Published on: July 7, 2023
Proteomic and Genetic Insights into Ancestry-Specific Associations in Parkinson's Disease
Amanda Wei-Yin Lim1,2, Jia-Nee Foo3,4, Elaine Guo-Yan Chew3,4
1Population Health Program, QIMR Berghofer, Brisbane, QLD, Australia.
Background:
Although genome-wide association studies (GWAS) have identified numerous common genetic risk variants for Parkinson's disease (PD), the underlying biological mechanisms remain largely unresolved.
Objectives:
We aimed to identify circulating proteins causally associated with PD risk in European and East Asian populations and determine whether these associations are shared or ancestry-specific.
Methods:
We employed a two-sample Mendelian randomization (MR) approach, integrating large-scale proteomic and genetic data, with validation using summary-data-based MR (SMR). European analyses used UK Biobank Pharma Proteomics Project (UKB-PPP; n = 54,219; 2,392 proteins) and a large PD GWAS (37,688 cases, 18,618 proxy cases, 1.4 million controls). East Asian analyses combined Han Chinese and UKB-PPP data (n = 3,220; 229 proteins) with a PD GWAS (6,724 cases, 24,851 controls). False discovery rate (FDR) < 0.05 determined significance. Sensitivity analyses addressed instrument heterogeneity, pleiotropy, and sample overlap.
Results:
MR analyses identified 21 proteins causally associated with PD in Europeans and 8 in East Asians, all directionally concordant in SMR validation. Notably, BST1 emerged as a shared causal protein, increasing PD risk in both Europeans (odds ratio [OR] = 1.04, 95% confidence interval [CI]: 1.02-1.06) and East Asians (OR = 1.18, 95% CI: 1.10-1.27), remaining robust after excluding UK Biobank participants. Several ancestry-specific proteins were detected, including TXNDC15 in Europeans and PM20D1 in East Asians, both targets of existing or investigational drugs.
Conclusions:
This cross-ancestry proteogenomic analysis reveals shared and ancestry-specific proteomic signatures causally linked to PD, underscoring the importance of using ancestry-aware analytical frameworks to discover robust biomarkers and novel therapeutic targets. © 2026 International Parkinson and Movement Disorder Society.
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