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Updated: Jan 8, 2026

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
Published on: January 9, 2020
Polygenic risk score predicts pathologically confirmed cerebral amyloid angiopathy
Jung-Min Pyun1, Young Ho Park1, SangYun Kim1
1Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, Republic of Korea.
Introduction:
Cerebral amyloid angiopathy (CAA) and Alzheimer's disease (AD) both involve amyloid beta (Aβ) accumulation in vessels and brain parenchyma, respectively. As Aβ-targeting therapies emerge, CAA draws attention due to its link with amyloid-related imaging abnormalities (ARIA), underscoring the need for biomarkers beyond magnetic resonance imaging (MRI).
Methods:
CAA polygenic risk scores (CAA-PRS) were generated in 105 ADNI participants, and their predictive ability for pathological CAA was evaluated, including in subgroups with high amyloid burden or without MRI-visible CAA markers.
Results:
CAA-PRS was significantly associated with pathological CAA (OR = 1.766, p < 0.001), with an AUC of 0.783 overall and 0.766 (OR = 1.780, p = 0.002) in those with high amyloid burden. A marginal association was observed in MRI-negative individuals.
Discussion:
CAA-PRS may serve as a complementary biomarker to imaging for identifying high-risk individuals with CAA, particularly in the context of Aβ-targeting therapies and ARIA risk.
Highlights:
CAA-PRS is generated. CAA-PRS is associated with pathologically confirmed CAA. CAA-PRS is associated with CAA in individuals with high amyloid burden.
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