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Updated: Sep 24, 2026

Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017
A multi-omics Mendelian randomization study identifies putatively causal genes and pathways for Alzheimer's disease
Qi Zhu1, Wenjie Chen2, Xu Han1
1Department of Geriatrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Abstract:
BackgroundNeuroinflammation, particularly involving reactive astrocytes, plays a pivotal role in Alzheimer's disease (AD) progression.ObjectiveHowever, the causal genes and regulatory pathways linking astrocyte reactivity to AD risk remain unclear.MethodsWe performed a multi-omics summary-data-based Mendelian randomization (SMR) analysis, integrating large-scale AD GWAS data with methylation (mQTLs), expression (eQTLs), and protein (pQTLs) data for 514 reactive astrocyte-related genes. Causal inference was strengthened using colocalization and tissue-specific validation, and pathway enrichment.ResultsOur multi-omics SMR analysis identified a core set of high-confidence genes related to reactive astrocytes with putatively causal roles in AD. Based on mQTL-eQTL analysis, SPARC (cg08331313), RPS6KA2 (12 CpG sites), and LEP (4 CpG sites) demonstrated significant regulatory cascades, where methylation changes modulated gene expression and subsequently influenced AD risk. The eQTL-pQTL analysis revealed GCDH as genes with strong expression-protein correlations. Cross-tissue validation between blood and brain pinpointed a robust set of seven genes, including MAPK3, HLA-DQB1, and CSF3, that consistently associate with AD risk, highlighting systemic effects. Functional and network analyses of these causal candidates revealed that they converge upon the MAPK signaling pathway as a central mechanistic hub in both peripheral blood and brain tissue. Furthermore, network analysis identified seven hub genes, including MAPK3, LEP, and STAT1, as critical regulators within this astrocyte-centered AD network.ConclusionsOur study systematically identifies genetically predicted reactive astrocyte-related genes in AD pathogenesis through multi-omics Mendelian randomization, highlighting MAPK signaling as a putatively causal mechanistic hub.

