Emma S. Luckett, Yasmina Abakkouy, Luigi Lorenzini, Lyduine E. Collij, David Vallez Garcia, Pieter Jelle Visser, Anouk den Braber, Craig Ritchie, Mercè Boada, Patricia Genius, Natàlia Vilor-Tejedor, Juan Domingo Gispert, Rik Vandenberghe, Frederik Barkhof, Isabelle Cleynen, the AMYPAD Consortium
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Cross-sectional amyloid (Centiloid [CL]) burden was available for all participants, and regression models determined if PRS were associated with CL burden.</p>\n </section>\n \n <section>\n \n <h3> RESULTS</h3>\n \n <p>After harmonization, data for 867 participants showed that high CL burden was most strongly predicted by CSF Aβ42 PRS compared to traditional AD susceptibility PRS.</p>\n </section>\n \n <section>\n \n <h3> DISCUSSION</h3>\n \n <p>This work emphasizes the importance of data harmonization and pooling of cohorts for large-powered studies. Findings suggest a genetic predisposition to amyloid pathology that may predispose individuals early in the AD continuum. This validates the potential use of PRS in clinical (trial) settings as a non-invasive tool to assess AD risk.</p>\n </section>\n \n <section>\n \n <h3> Highlights</h3>\n \n <div>\n <ul>\n \n <li>We developed a robust harmonization pipeline for multi-cohort genotype array data.</li>\n \n <li>Cerebrospinal fluid amyloid beta (Aβ)-specific polygenic risk scores (PRS) more strongly predicted global Aβ positron emission tomography burden than other PRS.</li>\n \n <li>Results suggest a strong genetic predisposition to early Aβ pathology.</li>\n \n <li>This work highlights the need for robust data harmonization and data pooling.</li>\n \n <li>This work also validates the potential use of PRS as a non-invasive tool to assess Alzheimer's disease risk.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"21 9","pages":""},"PeriodicalIF":11.1000,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.70376","citationCount":"0","resultStr":"{\"title\":\"Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium\",\"authors\":\"Emma S. 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Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium
INTRODUCTION
We sought to harmonize genotype data from the predementia AMYPAD (Amyloid Imaging to Prevent Alzheimer's Disease) Consortium, compute polygenic risk scores (PRS), and determine their association with global amyloid deposition.
METHODS
Genetic data from five AMYPAD parent cohorts were harmonized, and PRS were computed for Alzheimer's disease (AD) susceptibility, cerebrospinal fluid (CSF) amyloid beta (Aβ)42, and CSF phosphorylated tau181. Cross-sectional amyloid (Centiloid [CL]) burden was available for all participants, and regression models determined if PRS were associated with CL burden.
RESULTS
After harmonization, data for 867 participants showed that high CL burden was most strongly predicted by CSF Aβ42 PRS compared to traditional AD susceptibility PRS.
DISCUSSION
This work emphasizes the importance of data harmonization and pooling of cohorts for large-powered studies. Findings suggest a genetic predisposition to amyloid pathology that may predispose individuals early in the AD continuum. This validates the potential use of PRS in clinical (trial) settings as a non-invasive tool to assess AD risk.
Highlights
We developed a robust harmonization pipeline for multi-cohort genotype array data.
Cerebrospinal fluid amyloid beta (Aβ)-specific polygenic risk scores (PRS) more strongly predicted global Aβ positron emission tomography burden than other PRS.
Results suggest a strong genetic predisposition to early Aβ pathology.
This work highlights the need for robust data harmonization and data pooling.
This work also validates the potential use of PRS as a non-invasive tool to assess Alzheimer's disease risk.
期刊介绍:
Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.