Literature DB >> 31350827

Differentially methylated regions in bipolar disorder and suicide.

Marie E Gaine1, Fayaz Seifuddin2, Sarven Sabunciyan3,4, Richard S Lee2, Kelly S Benke5, Eric T Monson1, Peter P Zandi2,5, James B Potash2, Virginia L Willour1.   

Abstract

The addition of a methyl group to, typically, a cytosine-guanine dinucleotide (CpG) creates distinct DNA methylation patterns across the genome that can regulate gene expression. Aberrant DNA methylation of CpG sites has been associated with many psychiatric disorders including bipolar disorder (BD) and suicide. Using the SureSelectXT system, Methyl-Seq, we investigated the DNA methylation status of CpG sites throughout the genome in 50 BD individuals (23 subjects who died by suicide and 27 subjects who died from other causes) and 31 nonpsychiatric controls. We identified differentially methylated regions (DMRs) from three analyses: (a) BD subjects compared to nonpsychiatric controls (BD-NC), (b) BD subjects who died by suicide compared to nonpsychiatric controls (BDS-NC), and (c) BDS subjects compared to BD subjects who died from other causes (BDS-BDNS). One DMR from the BDS-NC analysis, located in ARHGEF38, was significantly hypomethylated (23.4%) in BDS subjects. This finding remained significant after multiple testing (PBootstrapped = 9.0 × 10-3 ), was validated using pyrosequencing, and was more significant in males. A secondary analysis utilized Ingenuity Pathway Analysis to identify enrichment in nominally significant DMRs. This identified an association with several pathways including axonal guidance signaling, calcium signaling, β-adrenergic signaling, and opioid signaling. Our comprehensive study provides further support that DNA methylation alterations influence the risk for BD and suicide. However, further investigation is required to confirm these associations and identify their functional consequences.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  zzm321990ARHGEF38; opioid signaling; suicidal behavior; β-adrenergic signaling

Mesh:

Year:  2019        PMID: 31350827     DOI: 10.1002/ajmg.b.32754

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  4 in total

1.  Analysis of gene variants in the GASH/Sal model of epilepsy.

Authors:  Elena Díaz-Casado; Ricardo Gómez-Nieto; José M de Pereda; Luis J Muñoz; María Jara-Acevedo; Dolores E López
Journal:  PLoS One       Date:  2020-03-13       Impact factor: 3.240

2.  Cataloging recent advances in epigenetic alterations in major mental disorders and autism.

Authors:  Hamid Mostafavi Abdolmaleky; Jin-Rong Zhou; Sam Thiagalingam
Journal:  Epigenomics       Date:  2021-07-28       Impact factor: 4.357

3.  Analysis of the brain transcriptome in lines of laying hens divergently selected for feather pecking.

Authors:  Clemens Falker-Gieske; Andrea Mott; Siegfried Preuß; Sören Franzenburg; Werner Bessei; Jörn Bennewitz; Jens Tetens
Journal:  BMC Genomics       Date:  2020-08-27       Impact factor: 3.969

Review 4.  Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings.

Authors:  Giselli Scaini; Samira S Valvassori; Alexandre P Diaz; Camila N Lima; Deborah Benevenuto; Gabriel R Fries; Joao Quevedo
Journal:  Braz J Psychiatry       Date:  2020 Sep-Oct       Impact factor: 2.697

  4 in total

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