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Transferability of European-derived Alzheimer's disease polygenic risk scores across multiancestry populations

  • Aude Nicolas*
  • , Richard Sherva
  • , Benjamin Grenier-Boley
  • , European Alzheimer & Dementia BioBank (EADB)
  • , Yoontae Kim
  • , Masataka Kikuchi
  • , Jigyasha Timsina
  • , Itziar de Rojas
  • , María Carolina Dalmasso
  • , Xiaopu Zhou
  • , Yann Le Guen
  • , Carlos E. Arboleda-Bustos
  • , Maria Aparecida Camargos Bicalho
  • , Maëlenn Guerchet
  • , Sven van der Lee
  • , Monica Goss
  • , Atahualpa Castillo
  • , Céline Bellenguez
  • , Fahri Küçükali
  • , Claudia L. Satizabal
  • Bernard Fongang, Qiong Yang, Oliver Peters, Anja Schneider, Martin Dichgans, Dan Rujescu, Norbert Scherbaum, Jürgen Deckert, Steffi Riedel-Heller, Lucrezia Hausner, Laura Molina-Porcel, Emrah Düzel, Timo Grimmer, Jens Wiltfang, Stefanie Heilmann-Heimbach, Susanne Moebus, Thomas Tegos, Nikolaos Scarmeas, Oriol Dols-Icardo, Fermin Moreno, Jordi Pérez-Tur, María J. Bullido, Pau Pastor, Raquel Sánchez-Valle, Victoria Álvarez, Henne Holstege, John C. van Swieten, Harro Seelaar, Aad van der Lugt, Cornelia Van Duijn, Kristel Sleegers
*Corresponding author for this work
  • Université de Lille
  • Sorbonne Université
  • Department of Veterans Affairs
  • Boston University
  • Chosun University
  • The University of Tokyo
  • Washington University School of Medicine in St. Louis
  • UIC Barcelona
  • Instituto de Salud Carlos III
  • University Hospital Cologne
  • Studies in Neuroscience and Complex Systems Unit (ENyS) CONICET-HEC-UNAJ
  • Hong Kong University of Science and Technology
  • Hong Kong Center for Neurodegenerative Diseases
  • HKUST Shenzhen Research Institute - Hong Kong Institute of Brain Science
  • Stanford University School of Medicine
  • Institut du Cerveau et de la Moelle Épinière
  • Universidad Nacional de Colombia
  • Universidade Federal de Minas Gerais
  • University of Abomey-Calavi
  • University of Texas Health Science Center at San Antonio
  • Cardiff University School of Medicine
  • Flanders Institute for Biotechnology
  • University of Antwerp
  • The Framingham Heart Study
  • Boston University School of Medicine
  • German Center for Neurodegenerative Diseases
  • Berlin Institute of Health
  • University Hospital Bonn
  • Klinikum der Universität München
  • Munich Cluster for Systems Neurology (SyNergy)
  • Medical University of Vienna
  • University of Duisburg-Essen
  • University of Würzburg
  • Leipzig University
  • Heidelberg University 
  • Hospital Clinic de Barcelona
  • Otto von Guericke University Magdeburg
  • Technical University of Munich
  • University of Göttingen
  • University of Aveiro
  • University Hospital Essen
  • Aristotle University of Thessaloniki School of Medicine
  • National and Kapodistrian University of Athens Medical School
  • Columbia University
  • Research Institute of the Santa Creu i Sant Pau Hospital
  • Hospital Universitario Donostia
  • CSIC - Institute of Biomedicine of Valencia
  • CSIC-UAM: Consejo Superior de Investigaciones Científicas & Universidad Autónoma de Madrid
  • Hospital Universitario La Paz
  • Universidad Autónoma de Madrid
  • Generalitat de Catalunya
  • Institut Investigació Germans Trias i Pujol (IGTP)
  • University of Barcelona
  • Hospital Universitario Central de Asturias
  • Instituto de INvestigación Biosanitaria Del Principado de Asturias (ISPA)

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

A polygenic score (PGS) for Alzheimer's disease (AD) was derived recently from data on genome-wide significant loci in European ancestry populations. We applied this PGS to populations in 17 European countries and observed a consistent association with the AD risk, age at onset and cerebrospinal fluid levels of AD biomarkers, independently of apolipoprotein E locus (APOE). This PGS was also associated with the AD risk in many other populations of diverse ancestries. A cross-ancestry polygenic risk score improved the association with the AD risk in most of the multiancestry populations tested when the APOE region was included. Finally, we found that the PGS/polygenic risk score captured AD-specific information because the association weakened as the diagnosis was broadened. In conclusion, a simple PGS captures the AD-specific genetic information that is common to populations of different ancestries, although studies of more diverse populations are still needed to better characterize the genetics of AD.

Original languageEnglish
Pages (from-to)1598-1610
Number of pages13
JournalNature Genetics
Volume57
Issue number7
DOIs
Publication statusPublished - 1 Jul 2025

Bibliographical note

Publisher Copyright: © 2025. The Author(s).

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