» Articles » PMID: 33069246

Epigenome-wide Association Study of Alzheimer's Disease Replicates 22 Differentially Methylated Positions and 30 Differentially Methylated Regions

Overview
Publisher Biomed Central
Specialty Genetics
Date 2020 Oct 18
PMID 33069246
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Growing evidence shows that epigenetic modifications play a role in Alzheimer's disease (AD). We performed an epigenome-wide association study (EWAS) to evaluate the DNA methylation differences using postmortem superior temporal gyrus (STG) and inferior frontal gyrus (IFG) samples.

Results: Samples from 72 AD patients and 62 age-matched cognitively normal controls were assayed using Illumina Infinium MethylationEPIC BeadChip. Five and 14 differentially methylated positions (DMPs) associated with pathology (i.e., Braak stage) with p value less than Bonferroni correction threshold of 6.79 × 10 in the STG and IFG were identified, respectively. These cytosine-phosphate-guanine (CpG) sites included promoter associated cg26263477 annotated to ABCA7 in the STG (p = 1.21 × 10), and cg14058329 annotated to the HOXA5/HOXA3/HOXA-AS3 gene cluster (p = 1.62 × 10) and cg09448088 (p = 3.95 × 10) annotated to MCF2L in the IFG. These genes were previously reported to harbor DMPs and/or differentially methylated regions (DMRs). Previously reported DMPs annotated to RMGA, GNG7, HOXA3, GPR56, SPG7, PCNT, RP11-961A15.1, MCF2L, RHBDF2, ANK1, PCNT, TPRG1, and RASGEF1C were replicated (p < 0.0001). One hundred twenty-one and 173 DMRs associated with pathology in the STG and IFG, respectively, were additionally identified. Of these, DMRs annotated to 30 unique genes were also identified as significant DMRs in the same brain region in a recent meta-analysis, while additional DMRs annotated to 12 genes were reported as DMRs in a different brain region or in a cross-cortex meta-analysis. The significant DMRs were enriched in promoters, CpG islands, and exons in the genome. Gene set enrichment analysis of DMPs and DMRs showed that gene sets involved in neuroinflammation (e.g., microglia differentiation), neurogenesis, and cognition were enriched (false discovery rate (FDR) < 0.05).

Conclusions: Twenty-two DMPs and 30 DMRs associated with pathology were replicated, and novel DMPs and DMRs were discovered.

Citing Articles

Age-related changes in DNA methylation in a sample of elderly Brazilians.

Welsh H, Batalha C, Li W, Souza-Pinto N, Duarte Y, Naslavsky M Clin Epigenetics. 2025; 17(1):17.

PMID: 39910411 PMC: 11796210. DOI: 10.1186/s13148-025-01821-3.


RASGEF1C as a novel prognostic biomarker for LUAD.

Liu J, Liu X, Zeng Y, Qiao D, Dai B, Wu Y Discov Oncol. 2024; 15(1):825.

PMID: 39714713 PMC: 11666861. DOI: 10.1007/s12672-024-01718-2.


Multi Layered Omics Approaches Reveal Glia Specific Alterations in Alzheimer's Disease: A Systematic Review and Future Prospects.

Is O, Min Y, Wang X, Oatman S, Abraham Daniel A, Ertekin-Taner N Glia. 2024; 73(3):539-573.

PMID: 39652363 PMC: 11784841. DOI: 10.1002/glia.24652.


Epigenetic and genetic risk of Alzheimer disease from autopsied brains in two ethnic groups.

Ma Y, Reyes-Dumeyer D, Piriz A, Recio P, Mejia D, Medrano M Acta Neuropathol. 2024; 148(1):27.

PMID: 39177846 PMC: 11343944. DOI: 10.1007/s00401-024-02778-y.


Unveiling Immune-related feature genes for Alzheimer's disease based on machine learning.

Zhang G, Sun S, Wang Y, Zhao Y, Sun L Front Immunol. 2024; 15:1333666.

PMID: 38915415 PMC: 11194375. DOI: 10.3389/fimmu.2024.1333666.


References
1.
Ren X, Kuan P . methylGSA: a Bioconductor package and Shiny app for DNA methylation data length bias adjustment in gene set testing. Bioinformatics. 2018; 35(11):1958-1959. DOI: 10.1093/bioinformatics/bty892. View

2.
Maloney B, Lahiri D . Epigenetics of dementia: understanding the disease as a transformation rather than a state. Lancet Neurol. 2016; 15(7):760-774. DOI: 10.1016/S1474-4422(16)00065-X. View

3.
Kanehisa M, Furumichi M, Tanabe M, Sato Y, Morishima K . KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Res. 2016; 45(D1):D353-D361. PMC: 5210567. DOI: 10.1093/nar/gkw1092. View

4.
Li B, Dewey C . RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics. 2011; 12:323. PMC: 3163565. DOI: 10.1186/1471-2105-12-323. View

5.
Friedrich J, Sorge S, Bujupi F, Eichenlaub M, Schulz N, Wittbrodt J . Hox Function Is Required for the Development and Maintenance of the Drosophila Feeding Motor Unit. Cell Rep. 2016; 14(4):850-860. DOI: 10.1016/j.celrep.2015.12.077. View