Methylation profiling

Dataset Information

0

Integrated DNA methylation and gene expression profiling across multiple brain regions implicate novel genes in Alzheimer’s disease


ABSTRACT: Late-onset Alzheimer’s disease (AD) is a complex age-related neurodegenerative disorder that likely involves epigenetic factors. To better understand the epigenetic state associated with AD, we surveyed 420,852 DNA methylation (DNAm) sites from neurotypical controls (N = 49) and late-onset AD patients (N = 24) across four brain regions (hippocampus, entorhinal cortex, dorsolateral prefrontal cortex and cerebellum). We identiied 858 sites with robust diferential methylation collectively annotated to 772 possible genes (FDR < 5%, within 10 kb). These sites were overrepresented in AD genetic risk loci (p = 0.00655) and were enriched for changes during normal aging (p < 2.2 × 10−16), and nearby genes were enriched for processes related to cell-adhesion, immunity, and calcium homeostasis (FDR < 5%). To functionally validate these associations, we generated and analyzed corresponding transcriptome data to prioritize 130 genes within 10 kb of the diferentially methylated sites. These 130 genes were diferentially expressed between AD cases and controls and their expression was associated with nearby DNAm (p < 0.05). This integrated analysis implicates novel genes in Alzheimer’s disease, such as ANKRD30B. These results highlight DNAm diferences in Alzheimer’s disease that have gene expression correlates, further implicating DNAm as an epigenetic mechanism underlying pathological molecular changes associated with AD. Furthermore, our framework illustrates the value of integrating epigenetic and transcriptomic data for understanding complex disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE125895 | GEO | 2019/01/31

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2019-04-17 | GSE110732 | GEO
2019-04-17 | GSE110731 | GEO
2019-04-17 | GSE110728 | GEO
2009-12-04 | E-GEOD-18309 | biostudies-arrayexpress
2023-11-21 | GSE231341 | GEO
2006-10-01 | E-GEOD-5667 | biostudies-arrayexpress
2018-03-13 | GSE99624 | GEO
2023-09-12 | GSE223817 | GEO
2024-08-01 | GSE270454 | GEO
2023-09-11 | GSE208623 | GEO