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      Genome-wide DNA methylation comparison between live human brain and peripheral tissues within individuals

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          Abstract

          Differential DNA methylation in the brain is associated with many psychiatric diseases, but access to brain tissues is essentially limited to postmortem samples. The use of surrogate tissues has become common in identifying methylation changes associated with psychiatric disease. In this study, we determined the extent to which peripheral tissues can be used as surrogates for DNA methylation in the brain. Blood, saliva, buccal, and live brain tissue samples from 27 patients with medically intractable epilepsy undergoing brain resection were collected (age range 5–61 years). Genome-wide methylation was assessed with the Infinium HumanMethylation450 ( n = 12) and HumanMethylationEPIC BeadChip arrays ( n = 21). For the EPIC methylation data averaged for each CpG across subjects, the saliva–brain correlation ( r = 0.90) was higher than that for blood–brain (r = 0.86) and buccal–brain ( r = 0.85) comparisons. However, within individual CpGs, blood had the highest proportion of CpGs correlated to brain at nominally significant levels (20.8%), as compared to buccal tissue (17.4%) and saliva (15.1%). For each CpG and each gene, levels of brain-peripheral tissue correlation varied widely. This indicates that to determine the most useful surrogate tissue for representing brain DNA methylation, the patterns specific to the genomic region of interest must be considered. To assist in that objective, we have developed a website, IMAGE-CpG, that allows researchers to interrogate DNA methylation levels and degree of cross-tissue correlation in user-defined locations across the genome.

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          Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi

          Summary: The minfi package is widely used for analyzing Illumina DNA methylation array data. Here we describe modifications to the minfi package required to support the HumanMethylationEPIC (‘EPIC’) array from Illumina. We discuss methods for the joint analysis and normalization of data from the HumanMethylation450 (‘450k’) and EPIC platforms. We introduce the single-sample Noob (ssNoob) method, a normalization procedure suitable for incremental preprocessing of individual methylation arrays and conclude that this method should be used when integrating data from multiple generations of Infinium methylation arrays. We show how to use reference 450k datasets to estimate cell type composition of samples on EPIC arrays. The cumulative effect of these updates is to ensure that minfi provides the tools to best integrate existing and forthcoming Illumina methylation array data. Availability and Implementation: The minfi package version 1.19.12 or higher is available for all platforms from the Bioconductor project. Contact: khansen@jhsph.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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            Functional annotation of the human brain methylome identifies tissue-specific epigenetic variation across brain and blood

            Background Dynamic changes to the epigenome play a critical role in establishing and maintaining cellular phenotype during differentiation, but little is known about the normal methylomic differences that occur between functionally distinct areas of the brain. We characterized intra- and inter-individual methylomic variation across whole blood and multiple regions of the brain from multiple donors. Results Distinct tissue-specific patterns of DNA methylation were identified, with a highly significant over-representation of tissue-specific differentially methylated regions (TS-DMRs) observed at intragenic CpG islands and low CG density promoters. A large proportion of TS-DMRs were located near genes that are differentially expressed across brain regions. TS-DMRs were significantly enriched near genes involved in functional pathways related to neurodevelopment and neuronal differentiation, including BDNF, BMP4, CACNA1A, CACA1AF, EOMES, NGFR, NUMBL, PCDH9, SLIT1, SLITRK1 and SHANK3. Although between-tissue variation in DNA methylation was found to greatly exceed between-individual differences within any one tissue, we found that some inter-individual variation was reflected across brain and blood, indicating that peripheral tissues may have some utility in epidemiological studies of complex neurobiological phenotypes. Conclusions This study reinforces the importance of DNA methylation in regulating cellular phenotype across tissues, and highlights genomic patterns of epigenetic variation across functionally distinct regions of the brain, providing a resource for the epigenetics and neuroscience research communities.
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              Interindividual methylomic variation across blood, cortex, and cerebellum: implications for epigenetic studies of neurological and neuropsychiatric phenotypes

              Given the tissue-specific nature of epigenetic processes, the assessment of disease-relevant tissue is an important consideration for epigenome-wide association studies (EWAS). Little is known about whether easily accessible tissues, such as whole blood, can be used to address questions about interindividual epigenomic variation in inaccessible tissues, such as the brain. We quantified DNA methylation in matched DNA samples isolated from whole blood and 4 brain regions (prefrontal cortex, entorhinal cortex, superior temporal gyrus, and cerebellum) from 122 individuals. We explored co-variation between tissues and the extent to which methylomic variation in blood is predictive of interindividual variation identified in the brain. For the majority of DNA methylation sites, interindividual variation in whole blood is not a strong predictor of interindividual variation in the brain, although the relationship with cortical regions is stronger than with the cerebellum. Variation at a subset of probes is strongly correlated across tissues, even in instances when the actual level of DNA methylation is significantly different between them. A substantial proportion of this co-variation, however, is likely to result from genetic influences. Our data suggest that for the majority of the genome, a blood-based EWAS for disorders where brain is presumed to be the primary tissue of interest will give limited information relating to underlying pathological processes. These results do not, however, discount the utility of using a blood-based EWAS to identify biomarkers of disease phenotypes manifest in the brain. We have generated a searchable database for the interpretation of data from blood-based EWAS analyses (http://epigenetics.essex.ac.uk/bloodbrain/).
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                Author and article information

                Contributors
                +319-384-4932 , gen-shinozaki@uiowa.edu
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                31 January 2019
                31 January 2019
                2019
                : 9
                : 47
                Affiliations
                [1 ]ISNI 0000 0004 1936 8294, GRID grid.214572.7, Department of Psychiatry, , University of Iowa Carver College of Medicine, ; Iowa City, IA 52246 USA
                [2 ]ISNI 0000 0004 1936 8294, GRID grid.214572.7, Interdisciplinary Graduate Program in Genetics, , University of Iowa, ; Iowa City, IA 52246 USA
                [3 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Department of Psychiatry and Behavioral Science, , Johns Hopkins University School of Medicine, ; Baltimore, MD 21287 USA
                [4 ]ISNI 0000 0004 1936 8294, GRID grid.214572.7, Department of Neurosurgery, , University of Iowa Carver College of Medicine, ; Iowa City, IA 52246 USA
                [5 ]ISNI 0000 0001 2285 7943, GRID grid.261331.4, Department of Neurological Surgery, , Ohio State University, ; Columbus, OH 43203 USA
                [6 ]ISNI 0000 0004 1936 8294, GRID grid.214572.7, Iowa Neuroscience Institute, , University of Iowa Carver College of Medicine, ; Iowa City, IA 52246 USA
                [7 ]ISNI 0000 0004 1936 8294, GRID grid.214572.7, Interdisciplinary Graduate Program for Neuroscience, , University of Iowa Carver College of Medicine, ; Iowa City, IA 52246 USA
                Author information
                http://orcid.org/0000-0002-5802-8079
                http://orcid.org/0000-0001-6129-2789
                Article
                376
                10.1038/s41398-019-0376-y
                6355837
                30705257
                fafc1931-960e-4e73-a631-50c286f8dd53
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 May 2018
                : 10 December 2018
                : 2 January 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: K23MH107654
                Award ID: T32GM008629
                Award ID: T32GM008629
                Award Recipient :
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                © The Author(s) 2019

                Clinical Psychology & Psychiatry
                Clinical Psychology & Psychiatry

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