ArticleEpigenetics & chromatin2018
DNA methylation analysis on purified neurons and glia dissects age and Alzheimer's disease-specific changes in the human cortex.
Article in Epigenetics & chromatin, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers, 11 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
142 citing papers in PubMed, 11 syntheses or guidelines pooled it, 253 citations in OpenAlex.
- A cell-type-resolved meta-analysis reveals glial DNA methylation changes associated with aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Pooled it
- Pooled it
- Entorhinal cortex epigenome-wide association study highlights four novel loci showing differential methylation in Alzheimer's disease.Alzheimer's research & therapy · 2023Pooled it
- Direct Conversion of Fibroblast into Neurons for Alzheimer's Disease Research: A Systematic Review.Journal of Alzheimer's disease : JAD · 2023Pooled it
- Distinct sex-specific DNA methylation differences in Alzheimer's disease.Alzheimer's research & therapy · 2022Pooled it
- Cross-tissue analysis of blood and brain epigenome-wide association studies in Alzheimer's disease.Nature communications · 2022Pooled it
- A meta-analysis of epigenome-wide association studies in Alzheimer's disease highlights novel differentially methylated loci across cortex.Nature communications · 2021Pooled it
- Sex-specific DNA methylation differences in Alzheimer's disease pathology.Acta neuropathologica communications · 2021Pooled it
- A Meta-Analysis of Brain DNA Methylation Across Sex, Age, and Alzheimer's Disease Points for Accelerated Epigenetic Aging in Neurodegeneration.Frontiers in aging neuroscience · 2021Pooled it
- Epigenome-wide meta-analysis of DNA methylation differences in prefrontal cortex implicates the immune processes in Alzheimer's disease.Nature communications · 2020Pooled it
- Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age.Genome medicine · 2020Pooled it
- Early oligodendrocyte dysfunction signature in Alzheimer's disease: Insights from DNA methylomics and transcriptomics.Molecular psychiatry · 2026Article
- Differential DNA methylation in blood as potential mediator of the association between ambient PMMolecular psychiatry · 2026Article
- Neurofilament Light Chain (NfL) in Neurodegenerative Diseases: Biological and Clinical Significance, Multi-Omics Integration, and AI-Driven Biomarker Modeling for Precision Therapy.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Epigenetic Regulation of Modulatory Neurotransmitter System Integrity in the Aging Brain: A Scoping Review Across the Lifespan.Life (Basel, Switzerland) · 2026Review
- From aging to Alzheimer's disease: concordant brain DNA methylation changes in late life.Genome medicine · 2026Article
- Integrative epigenomic landscape of Alzheimer's Disease brains reveals oligodendrocyte molecular perturbations associated with tau.Nature communications · 2026Article
- Astrocyte epigenetics in development, aging, and neurodegeneration: a DNA methylation perspective.Frontiers in molecular neuroscience · 2026Review
- Alzheimer's Disease DNA Methylation Index (AD-DMI) and its Association with Late-Life Cognitive Function.NPJ dementia · 2026Article
- MethConvTransformer: A Deep Learning Framework for Cross-Tissue Alzheimer's Disease Detection.ArXiv · 2026Article
82 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundEpigenome-wide association studies (EWAS) based on human brain samples allow a deep and direct understanding of epigenetic dysregulation in Alzheimer's disease (AD). However, strong variation of cell-type proportions across brain tissue samples represents a significant source of data noise. Here, we report the first EWAS based on sorted neuronal and non-neuronal (mostly glia) nuclei from postmortem human brain tissues.
resultsWe show that cell sorting strongly enhances the robust detection of disease-related DNA methylation changes even in a relatively small cohort. We identify numerous genes with cell-type-specific methylation signatures and document differential methylation dynamics associated with aging specifically in neurons such as CLU, SYNJ2 and NCOR2 or in glia RAI1,CXXC5 and INPP5A. Further, we found neuron or glia-specific associations with AD Braak stage progression at genes such as MCF2L, ANK1, MAP2, LRRC8B, STK32C and S100B. A comparison of our study with previous tissue-based EWAS validates multiple AD-associated DNA methylation signals and additionally specifies their origin to neuron, e.g., HOXA3 or glia (ANK1). In a meta-analysis, we reveal two novel previously unrecognized methylation changes at the key AD risk genes APP and ADAM17.
conclusionsOur data highlight the complex interplay between disease, age and cell-type-specific methylation changes in AD risk genes thus offering new perspectives for the validation and interpretation of large EWAS results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.