ArticleNPJ Parkinson's disease2025
Insights into ancestral diversity in Parkinson's disease risk: a comparative assessment of polygenic risk scores.
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 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- The Global Parkinson's Genetics Program (GP2): Advancing genetic discovery and capacity building worldwide.Journal of Parkinson's disease · 2026Review
- Genome-wide association and population-tailored polygenic risk for Parkinson's disease in Taiwan.NPJ Parkinson's disease · 2026Article
- Bridging global diversity gaps in Parkinson disease research.Nature reviews. Neurology · 2026Review
- Polygenic risk scores and Parkinson's disease in South Africa advancing ancestry informed disease prediction.PLoS genetics · 2026Article
- Polygenic risk scores and Parkinson's disease in South Africa: Moving towards ancestry-informed disease prediction.medRxiv : the preprint server for health sciences · 2025Article
- Neuroprotective Effects of Low-Dose Graphenic Materials on SN4741 Embryonic Stem Cells Against ER Stress and MPTP-Induced Oxidative Stress.International journal of molecular sciences · 2025Article
- Prediction of Extraintestinal Manifestations in Inflammatory Bowel Disease Using Clinical and Genetic Variables with Machine Learning in a Latin IBD Group.International journal of molecular sciences · 2025Article
- Clinical and genetic insights of Parkinson's Disease in a Mexican cohort: highlighting Latino's diversity.medRxiv : the preprint server for health sciences · 2025Article
- Rethinking Parkinson's disease genetics in the precision medicine era: why genomic diversity matters?Frontiers in genetics · 2025Article
- The Black and African American Connections to Parkinson's Disease (BLAAC PD) study protocol.BMC neurology · 2024Article
Corrections and comments
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Authors and funding
31 authors.
Funding
Abstract
Risk prediction models play a crucial role in advancing healthcare by enabling early detection and supporting personalized medicine. Nonetheless, polygenic risk scores (PRS) for Parkinson's disease (PD) have not been extensively studied across diverse populations, contributing to health disparities. In this study, we constructed 105 PRS using individual-level data from seven ancestries and compared two different models. Model 1 was based on the cumulative effect of 90 known European PD risk variants, weighted by summary statistics from four independent ancestries (European, East Asian, Latino/Admixed American, and African/Admixed). Model 2 leveraged multi-ancestry summary statistics using a p-value thresholding approach to improve prediction across diverse populations. Our findings provide a comprehensive assessment of PRS performance across ancestries and highlight the limitations of a "one-size-fits-all" approach to genetic risk prediction. We observed variability in predictive performance between models, underscoring the need for larger sample sizes and ancestry-specific approaches to enhance accuracy. These results establish a foundation for future research aimed at improving generalizability in genetic risk prediction for PD.
Identifiers
What Socratic holds
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 Socratic graph.