Degree of genetic liability for Alzheimer's disease associated with specific proteomic profiles in cerebrospinal fluid

Lianne M. Reus*, Sven Stringer, Danielle Posthuma, Charlotte E. Teunissen, Philip Scheltens, Yolande A. L. Pijnenburg, Pieter Jelle Visser, Betty M. Tijms, Alzheimer's Disease Neuroimaging Initiative

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Genetic factors play a major role in Alzheimer's disease (AD) pathology, but biological mechanisms through which these factors contribute to AD remain elusive. Using a cerebrospinal fluid (CSF) proteomic approach, we examined associations between polygenic risk scores for AD (PGRS) and CSF proteomic profiles in 250 individuals with normal cognition, mild cognitive impairment, and AD-type dementia from the Alzheimer's Disease Neuroimaging Initiative. Out of 412 proteins, 201 were associated with PGRS. Hierarchical clustering analysis on proteins associated with PGRS at different single-nucleotide polymorphism p-value inclusion thresholds identified 3 clusters: (1) a protein cluster correlated with highly significant single-nucleotide polymorphisms, associated with amyloid-beta pathology and complement cascades; (2) a protein cluster associated with PGRS additionally including variants contributing to modest risk, involved in neural injury; (3) a protein cluster that also included less strongly associated variants, enriched with cytokine-cytokine interactions and cell adhesion molecules. These findings suggest that CSF protein levels reflect varying degrees of genetic liability for AD and may serve as a tool to investigate biological mechanisms in AD. (C) 2020 Elsevier Inc. All rights reserved.

Original languageEnglish
Pages (from-to)144.e1-144.e15
Number of pages15
JournalNeurobiology of Aging
Volume93
DOIs
Publication statusPublished - Sept 2020

Keywords

  • Alzheimer's disease (AD)
  • Cerebrospinal fluid (CSF)
  • Polygenic risk scores (PGRS)
  • Complement cascades
  • Cell adhesion molecules
  • Cytokines
  • GENOME-WIDE ASSOCIATION
  • TRANSFORMING GROWTH-FACTOR-BETA-1
  • IDENTIFIES VARIANTS
  • COMMON VARIANTS
  • RISK LOCI
  • BETA
  • PROTEIN
  • BIOMARKERS
  • BRAIN
  • METAANALYSIS

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