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      Genome-wide12 DNA methylation profiling in the superior temporal gyrus reveals epigenetic signatures associated with Alzheimer’s disease

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          Abstract

          Background

          Alzheimer’s disease affects ~13 % of people in the United States 65 years and older, making it the most common neurodegenerative disorder. Recent work has identified roles for environmental, genetic, and epigenetic factors in Alzheimer’s disease risk.

          Methods

          We performed a genome-wide screen of DNA methylation using the Illumina Infinium HumanMethylation450 platform on bulk tissue samples from the superior temporal gyrus of patients with Alzheimer’s disease and non-demented controls. We paired a sliding window approach with multivariate linear regression to characterize Alzheimer’s disease-associated differentially methylated regions (DMRs).

          Results

          We identified 479 DMRs exhibiting a strong bias for hypermethylated changes, a subset of which were independently associated with aging. DMR intervals overlapped 475 RefSeq genes enriched for gene ontology categories with relevant roles in neuron function and development, as well as cellular metabolism, and included genes reported in Alzheimer’s disease genome-wide and epigenome-wide association studies. DMRs were enriched for brain-specific histone signatures and for binding motifs of transcription factors with roles in the brain and Alzheimer’s disease pathology. Notably, hypermethylated DMRs preferentially overlapped poised promoter regions, marked by H3K27me3 and H3K4me3, previously shown to co-localize with aging-associated hypermethylation. Finally, the integration of DMR-associated single nucleotide polymorphisms with Alzheimer’s disease genome-wide association study risk loci and brain expression quantitative trait loci highlights multiple potential DMRs of interest for further functional analysis.

          Conclusion

          We have characterized changes in DNA methylation in the superior temporal gyrus of patients with Alzheimer’s disease, highlighting novel loci that facilitate better characterization of pathways and mechanisms underlying Alzheimer’s disease pathogenesis, and improve our understanding of epigenetic signatures that may contribute to the development of disease.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13073-015-0258-8) contains supplementary material, which is available to authorized users.

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          Most cited references55

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease.

            To assess the relationship between dementia, neuronal loss, and neuropathological findings in Alzheimer's disease (AD), we counted the number of neurons, senile plaques, and neurofibrillary tangles in a high-order association cortex. We studied the superior temporal sulcus of 34 individuals with AD and 17 nondemented control subjects, using statistically unbiased, stereological counting techniques. The number of superior temporal sulcus neurons in nondemented control subjects was stable across the sixth to ninth decades. In AD, more than 50% of the neurons were lost. Both neuronal loss and neurofibrillary tangles increased in parallel with the duration and severity of illness, but the amount of neuronal loss exceeded by manyfold the amount of neurofibrillary tangles accumulated. In contrast to the correlation between neurofibrillary tangles and neuronal loss, the number of senile plaques and the percentage of the superior temporal sulcus that was covered by Abeta (amyloid burden) were not related to neuronal loss, number of neurofibrillary tangles, or duration of disease. Neither the amount nor the rate of neuronal loss in the superior temporal sulcus in AD correlated with apolipoprotein E genotype. These data suggest that neuronal loss in association areas such as the superior temporal sulcus contributes directly to cognitive impairment in AD.
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              Temporal dynamics and genetic control of transcription in the human prefrontal cortex.

              Previous investigations have combined transcriptional and genetic analyses in human cell lines, but few have applied these techniques to human neural tissue. To gain a global molecular perspective on the role of the human genome in cortical development, function and ageing, we explore the temporal dynamics and genetic control of transcription in human prefrontal cortex in an extensive series of post-mortem brains from fetal development through ageing. We discover a wave of gene expression changes occurring during fetal development which are reversed in early postnatal life. One half-century later in life, this pattern of reversals is mirrored in ageing and in neurodegeneration. Although we identify thousands of robust associations of individual genetic polymorphisms with gene expression, we also demonstrate that there is no association between the total extent of genetic differences between subjects and the global similarity of their transcriptional profiles. Hence, the human genome produces a consistent molecular architecture in the prefrontal cortex, despite millions of genetic differences across individuals and races. To enable further discovery, this entire data set is freely available (from Gene Expression Omnibus: accession GSE30272; and dbGaP: accession phs000417.v1.p1) and can also be interrogated via a biologist-friendly stand-alone application (http://www.libd.org/braincloud).
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                Author and article information

                Contributors
                +1-212-824-8942 , andrew.sharp@mssm.edu
                Journal
                Genome Med
                Genome Med
                Genome Medicine
                BioMed Central (London )
                1756-994X
                19 January 2016
                19 January 2016
                2016
                : 8
                : 5
                Affiliations
                [ ]Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
                [ ]Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA
                [ ]Mental Illness Research, Education, and Clinical Center (VISN 3), James J. Peters VA Medical Center, Bronx, NY USA
                [ ]Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY USA
                Article
                258
                10.1186/s13073-015-0258-8
                4719699
                26787419
                e4da7b1d-d9e1-4ec8-8a51-2ea0ef436c0a
                © Watson et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 19 May 2015
                : 29 December 2015
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000957, Alzheimer's Association;
                Award ID: 2012ALZNIRG69983
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: DA033660
                Award ID: HG006696
                Award ID: HD073731
                Award ID: MH097018
                Award ID: AG05138
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000912, March of Dimes Foundation;
                Award ID: 6-FY13-92
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000016, U.S. Department of Health and Human Services;
                Award ID: HHSN271291300031
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Molecular medicine
                Molecular medicine

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