Convergent genetic and expression data implicate immunity in Alzheimer's disease

Lesley Jones, Jean-Charles Lambert, Li-San Wang, Seung-Hoan Choi, Denise Harold, Alexey Vedernikov, Valentina Escott-Price, Timothy Stone, Alexander Richards, Carla A. Ibrahim-Verbaas, Adam C. Naj, Rebecca Sims, Amy Gerrish, David Craig, Janet A. Johnston, Bernadette McGuinness, Stephen Todd, Peter Passmore

Research output: Contribution to journalArticlepeer-review

123 Citations (Scopus)

Abstract

Background: Late-onset Alzheimer's disease (AD) is heritable with 20 genes showing genome-wide association in the International Genomics of Alzheimer's Project (IGAP). To identify the biology underlying the disease, we extended these genetic data in a pathway analysis.

Methods: The ALIGATOR and GSEA algorithms were used in the IGAP data to identify associated functional pathways and correlated gene expression networks in human brain.

Results: ALIGATOR identified an excess of curated biological pathways showing enrichment of association. Enriched areas of biology included the immune response (P = 3.27 X 10(-12) after multiple testing correction for pathways), regulation of endocytosis (P = 1.31 X 10(-11)), cholesterol transport (P = 2.96 X 10(-9)), and proteasome-ubiquitin activity (P = 1.34 X 10(-6)). Correlated gene expression analysis identified four significant network modules, all related to the immune response (corrected P = .002-.05).

Conclusions: The immime response, regulation of endocytosis, cholesterol transport, and protein ubiquitination represent prime targets for AD therapeutics. (C) 2015 Published by Elsevier Inc. on behalf of The Alzheimer's Association.

Original languageEnglish
Pages (from-to)658-671
Number of pages14
JournalAlzheimers & dementia
Volume11
Issue number6
DOIs
Publication statusPublished - Jun 2015

Keywords

  • Alzheimer's disease
  • Dementia
  • Neurodegeneration
  • Immune response
  • Endocytosis
  • Cholesterol metabolism
  • Ubiquitination
  • Pathway analysis
  • ALIGATOR
  • Weighted gene co-expression network analysis
  • GENOME-WIDE ASSOCIATION
  • NETWORK ANALYSIS
  • UNITED-STATES
  • PREVALENCE
  • VARIANTS
  • POPULATION
  • BRAIN
  • LISTS

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