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.
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收藏
页码:557 / 569
页数:12
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