Insights into ancestral diversity in Parkinson’s disease risk: a comparative assessment of polygenic risk scores

Insights into ancestral diversity in Parkinson’s disease risk: a comparative assessment of polygenic risk scores

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 dis...

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Main Authors: Paula Saffie-Awad, Spencer M. Grant, Mary B. Makarious, Inas Elsayed, Arinola O. Sanyaolu, Peter Wild Crea, Artur F. Schumacher Schuh, Kristin S. Levine, Dan Vitale, Mathew J. Koretsky, Jeffrey Kim, Thiago Peixoto Leal, María Teresa Periñán, Sumit Dey, Alastair J. Noyce, Armando Reyes-Palomares, Noela Rodriguez-Losada, Jia Nee Foo, Wael Mohamed, Karl Heilbron, Lucy Norcliffe-Kaufmann, the 23andMe Research Team, Mie Rizig, Njideka Okubadejo, Mike A. Nalls, Cornelis Blauwendraat, Andrew Singleton, Hampton Leonard, Global Parkinson’s Genetics Program (GP2), Ignacio F. Mata, Sara Bandres-Ciga
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Parkinson's Disease
Online Access:https://doi.org/10.1038/s41531-025-00967-4
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