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      Monozygotic twins affected with major depressive disorder have greater variance in methylation than their unaffected co-twin

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          Abstract

          Our understanding of major depressive disorder (MDD) has focused on the influence of genetic variation and environmental risk factors. Growing evidence suggests the additional role of epigenetic mechanisms influencing susceptibility for complex traits. DNA sequence within discordant monozygotic twin (MZT) pairs is virtually identical; thus, they represent a powerful design for studying the contribution of epigenetic factors to disease liability. The aim of this study was to investigate whether specific methylation profiles in white blood cells could contribute to the aetiology of MDD. Participants were drawn from the Queensland Twin Registry and comprised 12 MZT pairs discordant for MDD and 12 MZT pairs concordant for no MDD and low neuroticism. Bisulphite treatment and genome-wide interrogation of differentially methylated CpG sites using the Illumina Human Methylation 450 BeadChip were performed in WBC-derived DNA. No overall difference in mean global methylation between cases and their unaffected co-twins was found; however, the differences in females was significant ( P=0.005). The difference in variance across all probes between affected and unaffected twins was highly significant ( P<2.2 × 10 −16), with 52.4% of probes having higher variance in cases (binomial P-value<2.2 × 10 −16). No significant differences in methylation were observed between discordant MZT pairs and their matched concordant MZT (permutation minimum P=0.11) at any individual probe. Larger samples are likely to be needed to identify true associations between methylation differences at specific CpG sites.

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          A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA.

          Within- and cross-center test-retest studies were conducted to study the reliability of a new, semistructured, comprehensive, polydiagnostic psychiatric interview being used in a multisite genetic linkage study of alcoholism. Findings from both studies indicated that reliability for the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) was high for DSM-III-R substance dependence disorders, but less so for substance abuse disorders. Reliability of depression was good in both studies, but mixed for antisocial personality disorder (ASP). Findings are presented in terms of specific substance dependence and abuse diagnoses, as well as for depression and ASP. Criterion-specific reliabilities are examined by type of substance used. Although SSAGA was designed to provide for broad phenotyping of alcoholism, review of its new features suggests its suitability for a variety of family studies, not just those focusing on substance abuse.
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            Genetic epidemiology of major depression: review and meta-analysis.

            The authors conducted a meta-analysis of relevant data from primary studies of the genetic epidemiology of major depression. The authors searched MEDLINE and the reference lists of previous review articles to identify relevant primary studies. On the basis of a review of family, adoption, and twin studies that met specific inclusion criteria, the authors derived quantitative summary statistics. Five family studies met the inclusion criteria. The odds ratios for proband (subjects with major depression or comparison subjects) versus first-degree relative status (affected or unaffected with major depression) were homogeneous across the five studies (Mantel-Haenszel odds ratio=2.84, 95% CI=2.31-3.49). No adoption study met the inclusion criteria, but the results of two of the three reports were consistent with genetic influences on liability to major depression. Five twin studies met the inclusion criteria, and their statistical summation suggested that familial aggregation was due to additive genetic effects (point estimate of heritability of liability=37%, 95% CI=31%-42%), with a minimal contribution of environmental effects common to siblings (point estimate=0%, 95% CI=0%-5%), and substantial individual-specific environmental effects/measurement error (point estimate=63%, 95% CI=58%-67%). The literature suggests that recurrence best predicts the familial aggregation of major depression. Major depression is a familial disorder, and its familiality mostly or entirely results from genetic influences. Environmental influences specific to an individual are also etiologically significant. Major depression is a complex disorder that does not result from either genetic or environmental influences alone but rather from both. These findings are notably consistent across samples and methods and are likely to be generally applicable.
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              The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI).

              This paper presents an overview of the World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) and a discussion of the methodological research on which the development of the instrument was based. The WMH-CIDI includes a screening module and 40 sections that focus on diagnoses (22 sections), functioning (four sections), treatment (two sections), risk factors (four sections), socio-demographic correlates (seven sections), and methodological factors (two sections). Innovations compared to earlier versions of the CIDI include expansion of the diagnostic sections, a focus on 12-month as well as lifetime disorders in the same interview, detailed assessment of clinical severity, and inclusion of information on treatment, risk factors, and consequences. A computer-assisted version of the interview is available along with a direct data entry software system that can be used to keypunch responses to the paper-and-pencil version of the interview. Computer programs that generate diagnoses are also available based on both ICD-10 and DSM-IV criteria. Elaborate CD-ROM-based training materials are available to teach interviewers how to administer the interview as well as to teach supervisors how to monitor the quality of data collection.
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                Author and article information

                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group
                2158-3188
                June 2013
                11 June 2013
                1 June 2013
                : 3
                : 6
                : e269
                Affiliations
                [1 ]Queensland Brain Institute, The University of Queensland , Queensland, Australia
                [2 ]Queensland Institute of Medical Research , Herston, Queensland, Australia
                [3 ]Department of Psychiatry, Washington University , St Louis, MO, USA
                Author notes
                [* ]Queensland Brain Institute, University of Queensland, Upland Road , St Lucia, Queensland 4072, Australia. E-mail: Enda.byrne@ 123456uq.edu.au
                [4]

                The first two authors contributed equally to this work.

                [5]

                The last two authors contributed equally to this work.

                Article
                tp201345
                10.1038/tp.2013.45
                3693404
                23756378
                bb9a0128-d4e1-4445-b916-9cdd9fc479e8
                Copyright © 2013 Macmillan Publishers Limited

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/

                History
                : 25 March 2013
                : 08 April 2013
                Categories
                Original Article

                Clinical Psychology & Psychiatry
                depression,epigenetics,mdd,methylation,twins
                Clinical Psychology & Psychiatry
                depression, epigenetics, mdd, methylation, twins

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