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

被引:0
|
作者
Stephen A. Semick
Rahul A. Bharadwaj
Leonardo Collado-Torres
Ran Tao
Joo Heon Shin
Amy Deep-Soboslay
James R. Weiss
Daniel R. Weinberger
Thomas M. Hyde
Joel E. Kleinman
Andrew E. Jaffe
Venkata S. Mattay
机构
[1] Lieber Institute for Brain Development,Center for Computational Biology
[2] Johns Hopkins Medical Campus,Department of Psychiatry and Behavioral Sciences
[3] Johns Hopkins University,Department of Neurology
[4] Johns Hopkins School of Medicine,Department of Neuroscience
[5] Johns Hopkins School of Medicine,McKusick
[6] Johns Hopkins School of Medicine,Nathans Institute of Genetic Medicine
[7] Johns Hopkins School of Medicine,Department of Mental Health
[8] Johns Hopkins Bloomberg School of Public Health,Department of Biostatistics
[9] Johns Hopkins Bloomberg School of Public Health,Department of Radiology
[10] Johns Hopkins School of Medicine,undefined
来源
Acta Neuropathologica | 2019年 / 137卷
关键词
DNA methylation; Alzheimer’s disease; RNA sequencing; Postmortem human brain tissue; Human brain genomics;
D O I
暂无
中图分类号
学科分类号
摘要
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 identified 858 sites with robust differential 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 differentially methylated sites. These 130 genes were differentially 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 differences 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.
引用
收藏
页码:557 / 569
页数:12
相关论文
共 50 条
  • [41] Integrative Co-methylation Network Analysis Identifies Novel DNA Methylation Signatures and Their Target Genes in Alzheimer?s Disease
    Kim, Jun Pyo
    Kim, Bo-Hyun
    Bice, Paula J.
    Seo, Sang Won
    Bennett, David A.
    Saykin, Andrew J.
    Nho, Kwangsik
    BIOLOGICAL PSYCHIATRY, 2023, 93 (09) : 842 - 851
  • [42] Peripheral Blood Gene Expression and DNA Methylation Associated With Alzheimer' Disease Progression
    Narayan, Vaibhav
    Li, Ming
    Schultz, Timothy
    Sun, Yu
    Li, Qingqin
    NEUROPSYCHOPHARMACOLOGY, 2019, 44 (SUPPL 1) : 157 - 157
  • [43] Variations in differential gene expression patterns across multiple brain regions in schizophrenia
    Katsel, P
    Davis, KL
    Gorman, JM
    Haroutunian, V
    SCHIZOPHRENIA RESEARCH, 2005, 77 (2-3) : 241 - 252
  • [44] Differential Expression of Proteins in Brain Regions of Alzheimer's Disease Patients
    Zahid, Saadia
    Oellerich, Michael
    Asif, Abdul R.
    Ahmed, Nikhat
    NEUROCHEMICAL RESEARCH, 2014, 39 (01) : 208 - 215
  • [45] Differential Expression of Proteins in Brain Regions of Alzheimer’s Disease Patients
    Saadia Zahid
    Michael Oellerich
    Abdul R. Asif
    Nikhat Ahmed
    Neurochemical Research, 2014, 39 : 208 - 215
  • [46] Integrated Genome-Wide Analysis of DNA Methylation and Gene Expression in the Hippocampi of 5xFAD Alzheimer's Disease Mouse Model
    Lee, Sueun
    Lee, Hae-June
    Chun, Jin Mi
    Jung, Bokyung
    Kim, Jaebum
    Moon, Changjong
    Kim, Chul
    Kim, Joong-Sun
    JOURNAL OF INTEGRATIVE NEUROSCIENCE, 2024, 23 (07)
  • [47] Single molecule profiling of tau gene expression in Alzheimer's disease
    Conrad, Chris
    Zhu, Jun
    Conrad, Cintia
    Schoenfeld, David
    Fang, Zhide
    Ingelsson, Martin
    Stamm, Stefan
    Church, George
    Hyman, Bradley T.
    JOURNAL OF NEUROCHEMISTRY, 2007, 103 (03) : 1228 - 1236
  • [48] Identification of Differential Genes of DNA Methylation Associated With Alzheimer's Disease Based on Integrated Bioinformatics and Its Diagnostic Significance
    Chen, Fan
    Wang, Na
    He, Xiaping
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [49] Detecting Diagnostic Biomarkers of Alzheimer's Disease by Integrating Gene Expression Data in Six Brain Regions
    Wang, Lihua
    Liu, Zhi-Ping
    FRONTIERS IN GENETICS, 2019, 10
  • [50] Alterations of Clock Gene RNA Expression in Brain Regions of a Triple Transgenic Model of Alzheimer's Disease
    Bellanti, Francesco
    Iannelli, Giuseppina
    Blonda, Maria
    Tamborra, Rosanna
    Villani, Rosanna
    Romano, Adele
    Calcagnini, Silvio
    Mazzoccoli, Gianluigi
    Vinciguerra, Manlio
    Gaetani, Silvana
    Giudetti, Anna Maria
    Vendemiale, Gianluigi
    Cassano, Tommaso
    Serviddio, Gaetano
    JOURNAL OF ALZHEIMERS DISEASE, 2017, 59 (02) : 615 - 631