Literature DB >> 30484417

Study Design and Rationale for the Mood and Methylation Study: A Platform for Multi-Omics Investigation of Depression in Twins.

Eric Strachan1, Jinying Zhao2, Peter P Roy-Byrne1, Emily Fowler1, Tamara Bacus3.   

Abstract

Major depression is a complex disorder with no single, direct causal mechanism. Morbidity has been linked to genetic processes, developmental history, and unique environmental exposures. Epigenetic mechanisms, especially DNA methylation, are also likely important factors in the pathogenesis of major depressive disorder (MDD). A community-based twin sample has many advantages for epigenetic studies, given the shared genetic and developmental histories of same-sex twin pairs. This article describes the rationale and study design for the Mood and Methylation Study in which 133 twin pairs (101 monozygotic and 32 dizygotic), both discordant and concordant for lifetime history of MDD, were evaluated on a large number of variables related to MDD. The twins also provided blood samples for an epigenome-wide association study of differentially methylated regions (DMR) relevant to MDD. Although MDD is typically considered a disorder of the central nervous system, it is unfeasible to obtain a large sample of brain tissues. However, epigenetic variation is not limited to the affected tissue but can also be detected in peripheral blood leukocytes. Thus, this study focused on monocytes for the major analyses. Additional plans for the study include gene expression analysis from the same set of twins using RNA-seq and validation of significant DMRs in postmortem brain tissues from a separate sample. Moreover, sufficient samples have been collected to perform future 'multi-omic' analyses, including metabolome, microbiome, and transcriptome. Our long-term goal is to understand how epigenomic and other 'omic' factors can be manipulated for diagnostic, preventive, and therapeutic purposes for MDD and its related conditions.

Entities:  

Keywords:  depression; epigenome; metabolome; methylation; microbiome; transcriptome; twins

Mesh:

Year:  2018        PMID: 30484417      PMCID: PMC8900145          DOI: 10.1017/thg.2018.64

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  33 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-11       Impact factor: 11.205

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Authors:  Bethany Crawford; Zoe Craig; Georgina Mansell; Isobel White; Adam Smith; Steve Spaull; Jennifer Imm; Eilis Hannon; Andrew Wood; Hanieh Yaghootkar; Yingjie Ji; Niamh Mullins; Cathryn M Lewis; Jonathan Mill; Therese M Murphy
Journal:  Hum Mol Genet       Date:  2018-08-15       Impact factor: 6.150

6.  The Cook-Medley hostility scale: item content and ability to predict survival.

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Journal:  Psychosom Med       Date:  1989 Jan-Feb       Impact factor: 4.312

7.  Hyperhomocysteinemia does not affect global DNA methylation and nicotinamide N-methyltransferase expression in mice.

Authors:  Anna Bromberg; Joseph Levine; Rh Belmaker; Galila Agam
Journal:  J Psychopharmacol       Date:  2010-12-17       Impact factor: 4.153

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9.  Genome-wide DNA methylation scan in major depressive disorder.

Authors:  Sarven Sabunciyan; Martin J Aryee; Rafael A Irizarry; Michael Rongione; Maree J Webster; Walter E Kaufman; Peter Murakami; Andree Lessard; Robert H Yolken; Andrew P Feinberg; James B Potash
Journal:  PLoS One       Date:  2012-04-12       Impact factor: 3.240

10.  Interindividual methylomic variation across blood, cortex, and cerebellum: implications for epigenetic studies of neurological and neuropsychiatric phenotypes.

Authors:  Eilis Hannon; Katie Lunnon; Leonard Schalkwyk; Jonathan Mill
Journal:  Epigenetics       Date:  2015       Impact factor: 4.528

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  1 in total

1.  Genome-wide profiling of DNA methylome and transcriptome in peripheral blood monocytes for major depression: A Monozygotic Discordant Twin Study.

Authors:  Yun Zhu; Eric Strachan; Emily Fowler; Tamara Bacus; Peter Roy-Byrne; Jinying Zhao
Journal:  Transl Psychiatry       Date:  2019-09-02       Impact factor: 6.222

  1 in total

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