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A novel approach to resilience and its links with education and Alzheimer's disease genetics

  • Vrije Universiteit Amsterdam
  • Amsterdam UMC
  • University of Amsterdam
  • Lund University
  • Delft University of Technology
  • University College London

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

INTRODUCTION: Cognitive resilience refers to maintaining cognitive function despite Alzheimer's disease (AD) pathophysiology. METHODS: We analyzed amyloid-positive individuals across clinical stages of AD in two cohorts: the Amsterdam Dementia Cohort (ADC, N = 1036) and Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 685). Cognitive resilience was conceptualized from a canonical correlation analysis of magnetic resonance imaging and neuropsychological data in each cohort separately. Model validation involved education as a resilience proxy and key genetic factors (apolipoprotein E [APOE] ε4 and APOE ε2) of AD. We explored associations between 83 AD risk loci and cognitive resilience. RESULTS: Resilience was correlated with education (ADC: β = 0.144, p < 0.001; ADNI: β = 0.149, p < 0.001) and APOE ε4 (βmeta-analysis= –0.052, p = 0.014). Exploratory single nucleotide polymorphism meta-analysis identified potential involvement of genetic variants around genes UNC5CL, USP6NL, and TPCN1 in lower, and genes COX7C and MINDY2 in higher resilience. DISCUSSION: Our novel resilience approach showed conceptual validity and potential for future discovery of resilience-related genetic variants. Highlights: ·We define a novel approach to resilience using canonical correlation analysis (CCA). ·Apolipoprotein E ε4 is linked to lower resilience, suggesting increased vulnerability. ·Genetic loci around COX7C and MINDY2 are potentially involved in higher resilience. ·This novel approach may be used for multi-cohort studies such as genome-wide association studies in the future.

Original languageEnglish
Article numbere70379
JournalAlzheimer s & dementia
Volume21
Issue number7
DOIs
Publication statusPublished - 1 Jul 2025

Keywords

  • Alzheimer's disease
  • canonical correlation analysis
  • cognitive resilience
  • genetic risk factors
  • global cognition
  • magnetic resonance imaging

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