ArticleAlzheimer's research & therapy2020
Analysis of brain region-specific co-expression networks reveals clustering of established and novel genes associated with Alzheimer disease.
Article in Alzheimer's research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Application of the Allen Human Brain Atlas in Alzheimer's disease and Parkinson's disease.Translational neurodegeneration · 2026Review
- Constructing gene co-functional and co-regulatory networks from public transcriptomes using condition-specific ensemble co-expression.Nature communications · 2026Article
- The expression of insulin signaling and N-methyl-D-aspartate receptor genes in areas of gray matter atrophy is associated with cognitive function in type 2 diabetes.Journal of Alzheimer's disease : JAD · 2025Article
- The Exon-Based Transcriptomic Analysis of Parkinson's Disease.Biomolecules · 2025Article
- Alzheimer's disease rewires gene coexpression networks coupling different brain regions.NPJ systems biology and applications · 2024Article
- CAP-RNAseq: an integrated pipeline for functional annotation and prioritization of co-expression clusters.Briefings in bioinformatics · 2024Article
- Differential methylation analysis in neuropathologically confirmed dementia with Lewy bodies.Communications biology · 2024Article
- Consistent genes associated with structural changes in clinical Alzheimer's disease spectrum.Frontiers in neuroscience · 2024Article
- The fusiform gyrus exhibits differential gene-gene co-expression in Alzheimer's disease.Frontiers in aging neuroscience · 2023Article
- Developing the ATX(N) classification for use across the Alzheimer disease continuum.Nature reviews. Neurology · 2021Review
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundIdentifying and understanding the functional role of genetic risk factors for Alzheimer disease (AD) has been complicated by the variability of genetic influences across brain regions and confounding with age-related neurodegeneration.
methodsA gene co-expression network was constructed using data obtained from the Allen Brain Atlas for multiple brain regions (cerebral cortex, cerebellum, and brain stem) in six individuals. Gene network analyses were seeded with 52 reproducible (i.e., established) AD (RAD) genes. Genome-wide association study summary data were integrated with the gene co-expression results and phenotypic information (i.e., memory and aging-related outcomes) from gene knockout studies in Drosophila to generate rankings for other genes that may have a role in AD.
resultsWe found that co-expression of the RAD genes is strongest in the cortical regions where neurodegeneration due to AD is most severe. There was significant evidence for two novel AD-related genes including EPS8 (FDR p = 8.77 × 10
conclusionsOur findings indicate that AD-related risk factors are potentially associated with brain region-specific effects on gene expression that can be detected using a gene network approach.
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