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.

Publication Details

Journal
UCL Discovery (University College London)
Published
2025-09-01
Primary Topic
Dementia and Cognitive Impairment Research
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article
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article

Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium

UCL Discovery (University College London)
Dementia and Cognitive Impairment Research
article

Harmonizing genotype array data to understand genetic risk for brain amyloid burden in the AMYPAD PNHS Consortium

article en

Abstract

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.

UCL Discovery (University College London)
Openalex Percentile: Top 25%
Dementia and Cognitive Impairment Research
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