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      Decreased DNA methylation at promoters and gene-specific neuronal hypermethylation in the prefrontal cortex of patients with bipolar disorder

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          Abstract

          Bipolar disorder (BD) is a severe mental disorder characterized by repeated mood swings. Although genetic factors are collectively associated with the etiology of BD, the underlying molecular mechanisms, particularly how environmental factors affect the brain, remain largely unknown. We performed promoter-wide DNA methylation analysis of neuronal and nonneuronal nuclei in the prefrontal cortex of patients with BD ( N = 34) and controls ( N = 35). We found decreased DNA methylation at promoters in both cell types in the BD patients. Gene Ontology (GO) analysis of differentially methylated region (DMR)-associated genes revealed enrichment of molecular motor-related genes in neurons, chemokines in both cell types, and ion channel- and transporter-related genes in nonneurons. Detailed GO analysis further revealed that growth cone- and dendrite-related genes, including NTRK2 and GRIN1, were hypermethylated in neurons of BD patients. To assess the effect of medication, neuroblastoma cells were cultured under therapeutic concentrations of three mood stabilizers. We observed that up to 37.9% of DMRs detected in BD overlapped with mood stabilizer-induced DMRs. Interestingly, mood stabilizer-induced DMRs showed the opposite direction of changes in DMRs, suggesting the therapeutic effects of mood stabilizers. Among the DMRs, 12 overlapped with loci identified in a genome-wide association study (GWAS) of BD. We also found significant enrichment of neuronal DMRs in the loci reported in another GWAS of BD. Finally, we performed qPCR of DNA methylation-related genes and found that DNMT3B was overexpressed in BD. The cell-type-specific DMRs identified in this study will be useful for understanding the pathophysiology of BD.

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          Biological Insights From 108 Schizophrenia-Associated Genetic Loci

          Summary Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here, we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain providing biological plausibility for the findings. Many findings have the potential to provide entirely novel insights into aetiology, but associations at DRD2 and multiple genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that play important roles in immunity, providing support for the hypothesized link between the immune system and schizophrenia.
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            Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

            Major depression is a debilitating psychiatric illness that is typically associated with low mood and anhedonia. Depression has a heritable component that has remained difficult to elucidate with current sample sizes due to the polygenic nature of the disorder. To maximize sample size, we meta-analyzed data on 807,553 individuals (246,363 cases and 561,190 controls) from the three largest genome-wide association studies of depression. We identified 102 independent variants, 269 genes, and 15 genesets associated with depression, including both genes and gene pathways associated with synaptic structure and neurotransmission. An enrichment analysis provided further evidence of the importance of prefrontal brain regions. In an independent replication sample of 1,306,354 individuals (414,055 cases and 892,299 controls), 87 of the 102 associated variants were significant after multiple testing correction. These findings advance our understanding of the complex genetic architecture of depression and provide several future avenues for understanding etiology and developing new treatment approaches.
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              Common polygenic variation contributes to risk of schizophrenia and bipolar disorder.

              Schizophrenia is a severe mental disorder with a lifetime risk of about 1%, characterized by hallucinations, delusions and cognitive deficits, with heritability estimated at up to 80%. We performed a genome-wide association study of 3,322 European individuals with schizophrenia and 3,587 controls. Here we show, using two analytic approaches, the extent to which common genetic variation underlies the risk of schizophrenia. First, we implicate the major histocompatibility complex. Second, we provide molecular genetic evidence for a substantial polygenic component to the risk of schizophrenia involving thousands of common alleles of very small effect. We show that this component also contributes to the risk of bipolar disorder, but not to several non-psychiatric diseases.
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                Author and article information

                Contributors
                tadafumi.kato@juntendo.ac.jp
                iwamotok@kumamoto-u.ac.jp
                Journal
                Mol Psychiatry
                Mol Psychiatry
                Molecular Psychiatry
                Nature Publishing Group UK (London )
                1359-4184
                1476-5578
                20 April 2021
                20 April 2021
                2021
                : 26
                : 7
                : 3407-3418
                Affiliations
                [1 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Department of Molecular Brain Science, Graduate School of Medical Sciences, , Kumamoto University, ; Kumamoto, Japan
                [2 ]GRID grid.474690.8, Laboratory for Molecular Dynamics of Mental Disorders, , RIKEN Center for Brain Science, ; Saitama, Japan
                [3 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Department of Neuropsychiatry, Graduate School of Medicine, , The University of Tokyo, ; Tokyo, Japan
                [4 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, The International Research Center for Neurointelligence (WPI-IRCN) at The University of Tokyo Institutes for Advanced Study (UTIAS), ; Tokyo, Japan
                [5 ]GRID grid.258269.2, ISNI 0000 0004 1762 2738, Department of Psychiatry and Behavioral Science, Graduate School of Medicine, , Juntendo University, ; Tokyo, Japan
                Author information
                http://orcid.org/0000-0003-1964-2495
                http://orcid.org/0000-0002-4443-4535
                http://orcid.org/0000-0001-7856-3952
                http://orcid.org/0000-0002-1780-692X
                Article
                1079
                10.1038/s41380-021-01079-0
                8505249
                33875800
                11e1fd3c-cad0-4423-a079-788aff039aed
                © The Author(s) 2021

                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
                : 9 December 2020
                : 6 March 2021
                : 24 March 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100009619, Japan Agency for Medical Research and Development (AMED);
                Award ID: JP20dm0107123
                Award ID: JP20dm0207074
                Award ID: JP20dm0307001
                Award ID: JP20dm0307004
                Award ID: JP20dm0207069
                Award ID: JP15gm0510002
                Award ID: JP20km0405208
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature Limited 2021

                Molecular medicine
                bipolar disorder,genetics
                Molecular medicine
                bipolar disorder, genetics

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