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	<ui>2045-5380-2-10</ui>
	<ji>2045-5380</ji>
	<fm>
		<dochead>Review</dochead>
		<bibl>
			<title>
				<p>Epigenetic modifications associated with suicide and common mood and anxiety disorders: a systematic review of the literature</p>
			</title>
			<aug>
				<au id="A1" ca="yes"><snm>El-Sayed</snm><mi>M</mi><fnm>Abdulrahman</fnm><insr iid="I1"/><insr iid="I2"/><email>ame2145@columbia.edu</email></au>
				<au id="A2"><snm>Haloossim</snm><mi>R</mi><fnm>Michelle</fnm><insr iid="I3"/><email>mrh2151@columbia.edu</email></au>
				<au id="A3"><snm>Galea</snm><fnm>Sandro</fnm><insr iid="I4"/><email>sgalea@columbia.edu</email></au>
				<au id="A4"><snm>Koenen</snm><mi>C</mi><fnm>Karestan</fnm><insr iid="I5"/><email>kck5@columbia.edu</email></au>
			</aug>
			<insg>
				<ins id="I1"><p>Department of Epidemiology, Mailman School of Public Health, Columbia University, 722&#8201;W. 168th Street, R521, New York, NY 10032, USA</p></ins>
				<ins id="I2"><p>College of Physicians and Surgeons, Columbia University, New York, NY, USA</p></ins>
				<ins id="I3"><p>Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, 722&#8201;W. 168th Street, New York, NY, 10032, USA</p></ins>
				<ins id="I4"><p>Department of Epidemiology, Mailman School of Public Health, Columbia University, 722&#8201;W. 168th Street, 1508, New York, NY, 10032, USA</p></ins>
				<ins id="I5"><p>Department of Epidemiology, Mailman School of Public Health, Columbia University, 722&#8201;W. 168th Street, R720G, New York, NY, 10032, USA</p></ins>
			</insg>
			<source>Biology of Mood &amp; Anxiety Disorders</source>
			<issn>2045-5380</issn>
			<pubdate>2012</pubdate>
			<volume>2</volume>
			<issue>1</issue>
			<fpage>10</fpage>
			<url>http://www.biolmoodanxietydisord.com/content/2/1/10</url>
			<xrefbib><pubidlist><pubid idtype="doi">10.1186/2045-5380-2-10</pubid><pubid idtype="pmpid">22738307</pubid></pubidlist></xrefbib>
		</bibl>
		<history><rec><date><day>7</day><month>2</month><year>2012</year></date></rec><acc><date><day>18</day><month>5</month><year>2012</year></date></acc><pub><date><day>14</day><month>6</month><year>2012</year></date></pub></history>
		<cpyrt><year>2012</year><collab>El-Sayed et al.; licensee BioMed Central Ltd.</collab><note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
		<kwdg>
			<kwd>Epigenetics</kwd>
			<kwd>Mood disorders</kwd>
			<kwd>Anxiety disorders</kwd>
			<kwd>Suicide</kwd>
			<kwd>Depression</kwd>
			<kwd>PTSD</kwd>
			<kwd>Histone modification</kwd>
			<kwd>Methylation</kwd>
		</kwdg>
		<abs>
			<sec>
				<st>
					<p>Abstract</p>
				</st><p>Epigenetic modifications are those reversible, mitotically heritable alterations in genomic expression that occur independent of changes in gene sequence. Epigenetic studies have the potential to improve our understanding of the etiology of mood and anxiety disorders and suicide by bridging the gap in knowledge between the exogenous environmental exposures and pathophysiology that produce common mood and anxiety disorders and suicide. We systematically reviewed the English-language peer-reviewed literature about epigenetic regulation in these disorders between 2001&#8211;2011, summarizing and synthesizing this literature with respect to directions for future work. Twenty-one articles met our inclusion criteria. Twelve studies were concerned with epigenetic changes among suicide completers; other studies considered epigenetic regulation in depression, post-traumatic stress disorder, and panic disorder. Several studies focused on epigenetic regulation of amine, glucocorticoid, and serotonin metabolism in the production of common mood and anxiety disorders and suicide. The literature is nascent and has yet to reach consensus about the roles of particular epigenetic modifications in the etiology of these outcomes. Future studies require larger sample sizes and measurements of environmental exposures antecedent to epigenetic modification. Further work is also needed to clarify the link between epigenetic modifications in the brain and peripheral tissues and to establish &#8216;gold standard&#8217; epigenetic assays.</p>
			</sec>
		</abs>
	</fm>
	<bdy>
		<sec>
			<st>
				<p>Introduction</p>
			</st><p>Nearly 50% of adults in the United States have experienced a mood or anxiety disorder at some point in their lives. Mood and anxiety disorders are among the most debilitating diseases worldwide&#8212;the World Health Organization&#8217;s latest Global Burden of Disease report ranked depression among the top three most prevalent causes of disability globally, accounting for the highest single proportion of years lived with disability around the world <abbrgrp>
					<abbr bid="B1">1</abbr>
					<abbr bid="B2">2</abbr>
				</abbrgrp>. Panic disorder, as well as self-inflicted injury, which is often precipitated by depression, were also high on the WHO list <abbrgrp>
					<abbr bid="B2">2</abbr>
				</abbrgrp>. Mood, anxiety disorders and self-inflicted injury are also profoundly expensive, imposing high direct and indirect costs on individuals, industry, and health systems, alike <abbrgrp>
					<abbr bid="B3">3</abbr>
				</abbrgrp>.</p><p>The search for causes of common mood and anxiety disorders and suicide has spanned at least a century of research in a wide range of disciplines. However, a gap remains between studies focused on exogenous environmental determinants such as negative life events <abbrgrp>
					<abbr bid="B4">4</abbr>
				</abbrgrp> or neighborhood social context <abbrgrp>
					<abbr bid="B5">5</abbr>
					<abbr bid="B6">6</abbr>
				</abbrgrp> and studies focused on genetic determinants and biological correlates such as abnormalities in brain circuitry <abbrgrp>
					<abbr bid="B7">7</abbr>
				</abbrgrp>. The recent growth in interest in epigenetic studies in human populations has been fueled, in part, by the potential of epigenetics to bridge this divide <abbrgrp>
					<abbr bid="B8">8</abbr>
				</abbrgrp>.</p><p>Epigenetic modifications are those reversible, mitotically heritable alterations in genomic expression that occur independent of changes in gene sequence <abbrgrp>
					<abbr bid="B9">9</abbr>
				</abbrgrp>. Rather they occur via methylation of DNA or alterations to chromatin structure that either impede or facilitate access to the DNA by transcription factors and associated complexes <abbrgrp>
					<abbr bid="B9">9</abbr>
				</abbrgrp>. Epigenetic modification of expression has been demonstrated to mediate the interplay between environmental stimuli and physiologic&#8212;and pathophysiologic&#8212;change throughout the life course <abbrgrp>
					<abbr bid="B10">10</abbr>
				</abbrgrp>. Early research has been promising <abbrgrp>
					<abbr bid="B11">11</abbr>
				</abbrgrp>, demonstrating epigenetic involvement in the pathophysiology of depression <abbrgrp>
					<abbr bid="B12">12</abbr>
				</abbrgrp>, anxiety disorders <abbrgrp>
					<abbr bid="B13">13</abbr>
				</abbrgrp>, and suicide <abbrgrp>
					<abbr bid="B14">14</abbr>
				</abbrgrp>. However, a central challenge to understanding the role of epigenetic modifications in psychopathology is limited access to brain tissue in extant studies, where inference has been limited to assessments of epigenetic modification of peripheral tissue samples which may not be related to pathophysiologic processes underlying psychopathology.</p><p>Given the growing interest in behavioral epigenetics it appears to be the appropriate time to take stock, and to synthesize the peer-reviewed literature about epigenetic modification in the etiology of common mood and anxiety disorder and suicide. In reviewing the existing literature, we aimed to summarize the state of the science, identify methodological challenges, and offer potential solutions to address these challenges.</p>
		</sec>
		<sec>
			<st>
				<p>Methods</p>
			</st><p>We systematically reviewed the literature about epigenetic factors in the etiology of mood and anxiety disorders and suicide. We restricted our search to English-language, peer-reviewed articles. Our review encompassed the literature published between January 1<sup>st</sup>, 2001 and December 1<sup>st</sup>, 2011&#8212;we limited our review to the years following the sequencing of the human genome to reflect current thinking about the genetics of psychopathology. The literature reviewed here was identified via the MEDLINE and PSYCHINFO databases.</p><p>Our original search yielded 1273 articles, 600 of which were judged to consider epigenetic factors in the etiology of mood and anxiety disorders and/or suicide after screening by title. Another 368 were discarded after screening by abstract because they did not consider epigenetic mechanisms or disease outcomes of interest. Of the remaining 232, articles were included in the review if they fulfilled the following criteria:</p><p indent="1">&#183; Included original data about a n&#8201;&gt;&#8201;1 sample of human subjects</p><p indent="1">&#183; Used DSM-III, DSM-IV, or ICD-10 criteria to classify participants as having common mood or anxiety disorders (including and limited to PTSD, GAD, Phobias, Panic Disorder, or Depression) OR used coroners&#8217; reports to classify cause of death by self-inflicted injury</p><p indent="1">&#183; Objectively assessed epigenetic mechanisms relating to the etiology of mood and anxiety disorders or suicide</p><p/>
			<p>After reading the complete manuscripts, 211 were excluded because they did not meet our criteria, above. This left 21 articles from the original search considered in this review. Reference lists from these articles were searched, and yielded no further articles which fulfilled the inclusion criteria, yielding a final total of 21 articles reviewed here. Figure<figr fid="F1">1</figr> shows a flow diagram of our search strategy.</p>
			<fig id="F1"><title><p>Figure 1</p></title><caption><p>Review search strategy: Epigenetic modification in the etiology of common mood and anxiety disorders and suicide.</p></caption><text>
   <p>
      <b>Review search strategy: Epigenetic modification in the etiology of common mood and anxiety disorders and suicide.</b>
   </p>
</text><graphic file="2045-5380-2-10-1"/></fig><p>Because of the diversity of outcomes in which we were interested, the genetic pathways considered in the extant literature, and the methods used to both assess for epigenetic mechanisms and statistically analyze the findings, a meta-analysis of the results would not have been appropriate or feasible. For each of the 21 papers, we extracted the following information: the outcome of interest; sample population; proportion male; proportion White; number of cases and controls; loci considered; tissues sampled; laboratory techniques used; statistical analyses employed; and summary of the findings.</p>
		</sec>
		<sec>
			<st>
				<p>Results</p>
			</st><p>Table <tblr tid="T1">1</tblr> includes a detailed review of each of the studies included in our review. The majority (12) of the studies included in the literature considered epigenetic modification in the etiology of suicide <abbrgrp>
					<abbr bid="B14">14</abbr>
					<abbr bid="B15">15</abbr>
					<abbr bid="B16">16</abbr>
					<abbr bid="B17">17</abbr>
					<abbr bid="B18">18</abbr>
					<abbr bid="B19">19</abbr>
					<abbr bid="B20">20</abbr>
					<abbr bid="B21">21</abbr>
					<abbr bid="B22">22</abbr>
					<abbr bid="B23">23</abbr>
					<abbr bid="B24">24</abbr>
					<abbr bid="B25">25</abbr>
				</abbrgrp>. Five studies considered epigenetic factors and mood disorders (all five were concerned with depression) <abbrgrp>
					<abbr bid="B12">12</abbr>
					<abbr bid="B26">26</abbr>
					<abbr bid="B27">27</abbr>
					<abbr bid="B28">28</abbr>
					<abbr bid="B29">29</abbr>
				</abbrgrp>, and the remaining four studies considered epigenetic factors in the etiology of anxiety disorders (three considered PTSD and one considered panic disorder) <abbrgrp>
					<abbr bid="B13">13</abbr>
					<abbr bid="B30">30</abbr>
					<abbr bid="B31">31</abbr>
					<abbr bid="B32">32</abbr>
				</abbrgrp>. </p>
			<table id="T1">
				<title>
					<p>Table 1</p>
				</title>
				<caption>
					<p>*Studies about epigenetic modifications involved in the etiology of common mood and anxiety disorders and suicide, January 2010-November 2011</p>
				</caption>
				<tgroup align="left" cols="12">
					<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
					<colspec align="left" colname="c3" colnum="3" colwidth="1*"/>
					<colspec align="left" colname="c4" colnum="4" colwidth="1*"/>
					<colspec align="left" colname="c5" colnum="5" colwidth="1*"/>
					<colspec align="left" colname="c6" colnum="6" colwidth="1*"/>
					<colspec align="left" colname="c7" colnum="7" colwidth="1*"/>
					<colspec align="left" colname="c8" colnum="8" colwidth="1*"/>
					<colspec align="left" colname="c9" colnum="9" colwidth="1*"/>
					<colspec align="left" colname="c10" colnum="10" colwidth="1*"/>
					<colspec align="left" colname="c11" colnum="11" colwidth="1*"/>
					<colspec align="left" colname="c12" colnum="12" colwidth="1*"/>
					<thead valign="top">
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Author (Year)</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>
									<b>Outcome</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>Sample</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>% Male</b>
								</p>
							</entry>
							<entry colname="c5">
								<p>
									<b>% White</b>
								</p>
							</entry>
							<entry colname="c6">
								<p>
									<b>N Cases</b>
								</p>
							</entry>
							<entry colname="c7">
								<p>
									<b>N Controls</b>
								</p>
							</entry>
							<entry colname="c8">
								<p>
									<b>Gene (s)/loci</b>
								</p>
							</entry>
							<entry colname="c9">
								<p>
									<b>Tissue</b>
								</p>
							</entry>
							<entry colname="c10">
								<p>
									<b>Assay</b>
								</p>
							</entry>
							<entry colname="c11">
								<p>
									<b>Statistical analysis</b>
								</p>
							</entry>
							<entry colname="c12">
								<p>
									<b>Summary</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>*N/I; not indicated.</p>
					</tfoot>
					<tbody valign="top">
						<row>
							<entry colname="c1">
								<p>
									<b>Suicide</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
							<entry colname="c6"/>
							<entry colname="c7"/>
							<entry colname="c8"/>
							<entry colname="c9"/>
							<entry colname="c10"/>
							<entry colname="c11"/>
							<entry colname="c12"/>
						</row>
						<row>
							<entry colname="c1">
								<p>Poulter et al., 2008 <abbrgrp>
										<abbr bid="B15">15</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Department of Forensic Medicine,  Semmelweis University Medical  School, Budapest</p>
							</entry>
							<entry colname="c4">
								<p>50% in methylation  analyses</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>10 for methylation  analysis</p>
							</entry>
							<entry colname="c7">
								<p>10 for methylation  analysis</p>
							</entry>
							<entry colname="c8">
								<p>DNMT mRNA expression in the  frontopolar cortex, hippocampus,  amygdala, and dorsal vagal  complex; GABAa promoter</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>qPCR; Methylation  Mapping; Western Blot</p>
							</entry>
							<entry colname="c11">
								<p>ANOVA and <it>t</it>-tests with  Bonferroni corrections;  chi-square tests</p>
							</entry>
							<entry colname="c12">
								<p>DNMT-1 was downregulated, and DNMT-3B was  upregulated among suicide completers relative  to controls in the frontopolar cortex. There was  no association between DNMT expression and  suicide in the amygdala. In the hippocampus,  DNMT-1 and 3B were downregulated in suicide  completers relative to controls. DNMT-3B was  elevated in the hypothalamus and the dorsal  vagal complex. CG2 and 4 were hypermethylated  in suicide completers relative to controls in the  GABAa alpha1 subunit, and this was associated  with DNMT-3b upregulation.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>McGowan et al., 2008 <abbrgrp>
										<abbr bid="B14">14</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide  following child  abuse</p>
							</entry>
							<entry colname="c3">
								<p>Quebec Suicide Brain Bank matched on age,  gender, and post-mortem interval; 5 cases and  1 control used for RNA expression analyses,  separate 13 cases and 11 controls used for  other analyses</p>
							</entry>
							<entry colname="c4">
								<p>100%</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>18</p>
							</entry>
							<entry colname="c7">
								<p>12</p>
							</entry>
							<entry colname="c8">
								<p>rRNA promotor in the  hippocampus and cerebellum</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>RT-PCR; methylation  mapping; nearest  neighbor quantification</p>
							</entry>
							<entry colname="c11">
								<p>factorial ANOVA, Bonferroni  corrections; linear regression  for site-specific differences</p>
							</entry>
							<entry colname="c12">
								<p>rRNA promotor was more heavily methylated in  the hippocampus of suicide subjects than of  controls. 21 of 26 sites had higher methylation  frequency in suicide subjects relative to controls  in the hippocampus. These differences were not  observed in the cerebellum.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Guipponi et al., 2008 <abbrgrp>
										<abbr bid="B16">16</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Geneva, Switzerland Institute for  Forensic Medicine</p>
							</entry>
							<entry colname="c4">
								<p>55% cases; 50%  controls</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>20</p>
							</entry>
							<entry colname="c7">
								<p>20</p>
							</entry>
							<entry colname="c8">
								<p>SSAT promotor in ventral  prefrontal cortex</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>Pyrosequencing</p>
							</entry>
							<entry colname="c11">
								<p>ANOVA and <it>t</it>-tests</p>
							</entry>
							<entry colname="c12">
								<p>There was no association between promotor  methylation and suicide.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>De Luca et al., 2009 <abbrgrp>
										<abbr bid="B17">17</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Stanley Medical Research Institute  array collection; suicide and non-suicide  controls matched on genotype,  diagnosis, age at death, and sex</p>
							</entry>
							<entry colname="c4">
								<p>40% cases; 60%  controls</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>10</p>
							</entry>
							<entry colname="c7">
								<p>10</p>
							</entry>
							<entry colname="c8">
								<p>5-HT2A C102 allele in the  dorsolateral pre-frontal cortex</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>Hpall treatment followed  by TaqMan Assay Q-PCR</p>
							</entry>
							<entry colname="c11">
								<p>independent <it>t</it>-tests</p>
							</entry>
							<entry colname="c12">
								<p>No significant difference in methylation levels of  C102 were found in Brain-tissue between suicide  completers and controls.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1"/>
							<entry colname="c2">
								<p>Suicide attempt</p>
							</entry>
							<entry colname="c3">
								<p>48 schizophrenics (24 suicide attempts  and 24 non-attempters) pooled from  Toronto Schizophrenia, and SMR populations</p>
							</entry>
							<entry colname="c4">
								<p>67% cases; 75%  controls</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>24</p>
							</entry>
							<entry colname="c7">
								<p>24</p>
							</entry>
							<entry colname="c8">
								<p>5-HT2A C102 allele in the  white blood cells</p>
							</entry>
							<entry colname="c9">
								<p>leukocytes</p>
							</entry>
							<entry colname="c10">
								<p>Hpall treatment followed  by TaqMan Assay Q-PCR</p>
							</entry>
							<entry colname="c11">
								<p>independent <it>t</it>-tests,  corrected by Bonferroni</p>
							</entry>
							<entry colname="c12">
								<p>Suicide attempters had significantly higher  methylation of 102&#8201;C in peripheral leukocytes  relative to controls.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1"/>
							<entry colname="c2">
								<p>Suicide attempt</p>
							</entry>
							<entry colname="c3">
								<p>57 bipolar subjects (29 suicide attempts  and 28 non-attempters) pooled from  Toronto Bipolar and SMR populations</p>
							</entry>
							<entry colname="c4">
								<p>34.4% cases; 35.7%  controls</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>29</p>
							</entry>
							<entry colname="c7">
								<p>28</p>
							</entry>
							<entry colname="c8">
								<p>5-HT2A C102 allele in the  white blood cells</p>
							</entry>
							<entry colname="c9">
								<p>leukocytes</p>
							</entry>
							<entry colname="c10">
								<p>Hpall treatment followed  by TaqMan Assay Q-PCR</p>
							</entry>
							<entry colname="c11">
								<p>independent <it>t</it>-tests,  corrected by Bonferroni</p>
							</entry>
							<entry colname="c12">
								<p>There was no significant difference in methylation  of 102&#8201;C in the peripheral leukocytes of suicide  attempters and controls.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Ernst et al., 2009 <abbrgrp>
										<abbr bid="B18">18</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Quebec Suicide Brain Bank (28 suicide  completers and 11 controls); matched  on age, postermortem interval, and pH.  Epigenetic analyses performed on 10  subjects with low TrKB expression and  10 matched controls.</p>
							</entry>
							<entry colname="c4">
								<p>100%</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>10 (of 28 possible)</p>
							</entry>
							<entry colname="c7">
								<p>10 (of 11 possible)</p>
							</entry>
							<entry colname="c8">
								<p>TrKB.T1 promotor region in  the frontal cortex</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>Methylation mapping;  Q-PCR and Western blot  analysis; HG-U133 plus 2  microarray chip</p>
							</entry>
							<entry colname="c11">
								<p>
									<it>t</it>-test on mean methylation  at two CpG dinucleotides</p>
							</entry>
							<entry colname="c12">
								<p>There was a significant difference in TrKB.T1  expression among suicide completers and  non-completers. In suicide completers,  downregulation was correlated with methylation  frequency at sites 2 and 5 in the TrKB.T1 promotor.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>McGowan et al., 2009 <abbrgrp>
										<abbr bid="B19">19</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide  following child  abuse</p>
							</entry>
							<entry colname="c3">
								<p>Quebec Suicide Brain Bank matched on  age, gender, and post-mortem interval</p>
							</entry>
							<entry colname="c4">
								<p>100%</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>24 (12 with history  of child abuse; 12  without  such a history)</p>
							</entry>
							<entry colname="c7">
								<p>12</p>
							</entry>
							<entry colname="c8">
								<p>NR3C1 neuron-specific  glucocorticoid receptor  promotor in the hippocampus</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>RT-PCR; methylation  mapping</p>
							</entry>
							<entry colname="c11">
								<p>factorial ANOVA, Bonferroni  corrections</p>
							</entry>
							<entry colname="c12">
								<p>There was decreased glucocorticoid receptor  mRNA and increased cytosine methylation in  abused suicide completers as compared to  non-abused completers. There were no  differences between non-abused completers  and non- completers.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Klempan et al., 2009 <abbrgrp>
										<abbr bid="B20">20</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide  among depressive  patients</p>
							</entry>
							<entry colname="c3">
								<p>Quebec Suicide Brain Bank matched on age</p>
							</entry>
							<entry colname="c4">
								<p>100%</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>16 (4 included in  methylation  analysis)</p>
							</entry>
							<entry colname="c7">
								<p>13 (4 included in  methylation  analysis)</p>
							</entry>
							<entry colname="c8">
								<p>QKI promotor in the  orbitofrontal cortex</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>HG-U133 A/B microarray;  methylation mapping;  TaqMan gene expression  assays</p>
							</entry>
							<entry colname="c11">
								<p>
									<it>t</it>-test</p>
							</entry>
							<entry colname="c12">
								<p>Suicide completers had significantly lower mRNA  levels of QKI in 11 cortical regions and in the  amygdala. However, there were no significant  differences in methylation levels at the QKI  promotor by suicide status.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Keller et al., 2010 <abbrgrp>
										<abbr bid="B22">22</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Biological Bank of the Institut za Varovanje  Zdravja, Ljubljana (Slovenia)</p>
							</entry>
							<entry colname="c4">
								<p>48% cases; 48%  controls</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>44</p>
							</entry>
							<entry colname="c7">
								<p>33</p>
							</entry>
							<entry colname="c8">
								<p>Overall methylation in Wernicke's  area; BDNF promotor region  methylation in Wernicke's area</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>Pyrosequencing; MassARRAY;  bisulfite genomic sequencing</p>
							</entry>
							<entry colname="c11">
								<p>ANOVA and ANCOVA  adjusted for sex and age</p>
							</entry>
							<entry colname="c12">
								<p>BDNF promotor IV methylation was significantly  higher in suicide completers relative to controls.  Higher BDNF methylation was associated with  lower BDNF transcript IV. There was no difference  in genome-wide methylation levels between  suicide completers and controls. In suicide  completers with high methylation levels, there  were lower BDNF mRNA levels.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Fiori et al., 2010 <abbrgrp>
										<abbr bid="B25">25</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Quebec Suicide Brain Bank as well as a  Quebecois sample of healthy controls</p>
							</entry>
							<entry colname="c4">
								<p>100%</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>10 (of 40 possible)</p>
							</entry>
							<entry colname="c7">
								<p>10 (of 56 possible)</p>
							</entry>
							<entry colname="c8">
								<p>SMS and SMOX promotor region  in the BA 8/9, as well as histone  methylation of H3K27me3</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>Methylation mapping and  chromatin immunoprecipitation</p>
							</entry>
							<entry colname="c11">
								<p>
									<it>t</it>-test with correction for  mutliple testing</p>
							</entry>
							<entry colname="c12">
								<p>There were no associations between methylation  at any locus and suicide. Histone H3k27me3  methylation was not associated with suicide.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Fiori et al., 2011a <abbrgrp>
										<abbr bid="B24">24</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Quebec Suicide Brain Bank as well as a  Quebecois sample of healthy controls</p>
							</entry>
							<entry colname="c4">
								<p>100%</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>10</p>
							</entry>
							<entry colname="c7">
								<p>10</p>
							</entry>
							<entry colname="c8">
								<p>SAT1 promotor in the prefrontal  cortex; histone methylation of  H3K27me3</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>Methylation mapping and  chromatin immunoprecipitation</p>
							</entry>
							<entry colname="c11">
								<p>
									<it>t</it>-test</p>
							</entry>
							<entry colname="c12">
								<p>CpG methylation at the SAT1 promotor was  not associated with suicide, although it did  predict decreased SAT1 expression. Histone  H3k27me3 methylation was not associated  with suicide completion.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Fiori et al., 2011b <abbrgrp>
										<abbr bid="B23">23</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Quebec Suicide Brain Bank as well as a  Quebecois sample of healthy controls;  suicide completers selected on over-expression  of AMD1, ARG2, OAZ1, and OAZ2</p>
							</entry>
							<entry colname="c4">
								<p>100%</p>
							</entry>
							<entry colname="c5">
								<p>100%</p>
							</entry>
							<entry colname="c6">
								<p>34</p>
							</entry>
							<entry colname="c7">
								<p>34</p>
							</entry>
							<entry colname="c8">
								<p>Histone H3Kme3 in the inferior  frontal gyrus</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>Chromatin  immunoprecipitation</p>
							</entry>
							<entry colname="c11">
								<p>
									<it>t</it>-test and pearson  correlation</p>
							</entry>
							<entry colname="c12">
								<p>Suicide completers had significantly higher  H3Kme3 levels at OAZ1. H3Kme3 was positively  correlated with expression of ARG2 and OAZ1.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Keller et al., 2011 <abbrgrp>
										<abbr bid="B21">21</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Completed suicide</p>
							</entry>
							<entry colname="c3">
								<p>Biological Bank of the Institut za Varovanje  Zdravja, Ljubljana (Slovenia)</p>
							</entry>
							<entry colname="c4">
								<p>61% cases; 52%  controls</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>18</p>
							</entry>
							<entry colname="c7">
								<p>18</p>
							</entry>
							<entry colname="c8">
								<p>BDNF receptor (TrkB) in Wernicke's  area; BDNF promotor in Wernicke's  area</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>MassArray</p>
							</entry>
							<entry colname="c11">
								<p>
									<it>t</it>-tests</p>
							</entry>
							<entry colname="c12">
								<p>There were no significant differences in TrkB  promotor methylation between suicide completers  and controls. BDNF promotor IV methylation was  significantly higher in suicide completers relative  to controls.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>
									<b>Mood Disorders</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
							<entry colname="c6"/>
							<entry colname="c7"/>
							<entry colname="c8"/>
							<entry colname="c9"/>
							<entry colname="c10"/>
							<entry colname="c11"/>
							<entry colname="c12"/>
						</row>
						<row>
							<entry colname="c1">
								<p>Philibert et al., 2008 <abbrgrp>
										<abbr bid="B26">26</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Major depression</p>
							</entry>
							<entry colname="c3">
								<p>Iowa Adoption Study participants</p>
							</entry>
							<entry colname="c4">
								<p>50%</p>
							</entry>
							<entry colname="c5">
								<p>93%</p>
							</entry>
							<entry colname="c6">
								<p>68 (history of MD);  17 (current MD)</p>
							</entry>
							<entry colname="c7">
								<p>124 (no history of  MD); 175 (no  current MD)</p>
							</entry>
							<entry colname="c8">
								<p>5HTT promotor SLC6A4</p>
							</entry>
							<entry colname="c9">
								<p>lymphoblast</p>
							</entry>
							<entry colname="c10">
								<p>RT-PCR; MassArray quantitative  methylation</p>
							</entry>
							<entry colname="c11">
								<p>ANOVA and linear regression  with Bonferroni corrections</p>
							</entry>
							<entry colname="c12">
								<p>There was no relationship between methylation  and mRNA expression overall. There was no  relationship between SLC6A4 expression and life  history of MD or current MD.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Alt et al., 2009 <abbrgrp>
										<abbr bid="B27">27</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Major Depressive  Disorder</p>
							</entry>
							<entry colname="c3">
								<p>Dutch Brain Bank; Matched on age, sex,  brain weight, post-mortem delay and pH  of CSF</p>
							</entry>
							<entry colname="c4">
								<p>67% cases; 50%  controls</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>6</p>
							</entry>
							<entry colname="c7">
								<p>6</p>
							</entry>
							<entry colname="c8">
								<p>Glucocorticoid receptor promotor  region (1&#8201;J, 1E, 1B, 1&#8201;F) of amygdala,  hippocampus, inferior postulate gyrus,  cingulate gyrus, nucleus accumbens</p>
							</entry>
							<entry colname="c9">
								<p>post-mortem  brain</p>
							</entry>
							<entry colname="c10">
								<p>QIAamp DNA Mni kit (Qiagen);  pyrosequencing</p>
							</entry>
							<entry colname="c11">
								<p>Mann&#8211;Whitney U-test,  corrected by Bonferroni</p>
							</entry>
							<entry colname="c12">
								<p>GR transcript levels were homogenous by disease  status. Exon 1&#8201;F expression was reduced among  MDD patients relative to controls. There were no  significant differences in methylation patterns  between groups between different brain regions.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Olsson et al.,  2010 <abbrgrp>
										<abbr bid="B28">28</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Depression</p>
							</entry>
							<entry colname="c3">
								<p>Nested cohort from the Victorian  Adolescent Health Cohort Study, a  population-representative sample of  2032 young Australians in Victoria</p>
							</entry>
							<entry colname="c4">
								<p>55%</p>
							</entry>
							<entry colname="c5">
								<p>96%</p>
							</entry>
							<entry colname="c6">
								<p>25</p>
							</entry>
							<entry colname="c7">
								<p>125</p>
							</entry>
							<entry colname="c8">
								<p>5HTT promotor</p>
							</entry>
							<entry colname="c9">
								<p>buccal cells</p>
							</entry>
							<entry colname="c10">
								<p>MassArrray</p>
							</entry>
							<entry colname="c11">
								<p>logistic regression,  Bonferroni corrections</p>
							</entry>
							<entry colname="c12">
								<p>Buccal cell 5HTT methylation and depression were  not associated either over the entire promotor or  in subregions identified by PCA. However, there  was a joint effect of 5HTT methylation and the  s-allele variant on risk for depression.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Fuchikami et al.,  2011 <abbrgrp>
										<abbr bid="B29">29</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Major depression</p>
							</entry>
							<entry colname="c3">
								<p>Japanese sample of DSM-IV criteria  depressed patients and health controls  from four academic medical centers</p>
							</entry>
							<entry colname="c4">
								<p>N/I</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>20</p>
							</entry>
							<entry colname="c7">
								<p>18</p>
							</entry>
							<entry colname="c8">
								<p>BDNF promotor</p>
							</entry>
							<entry colname="c9">
								<p>white blood  cells</p>
							</entry>
							<entry colname="c10">
								<p>MassArray</p>
							</entry>
							<entry colname="c11">
								<p>2-dimensional hierarchical  clustering and <it>t</it>-tests</p>
							</entry>
							<entry colname="c12">
								<p>Mean methylation rates of CpG 1 but not 4 at the  BDNF promotor was associated with depression.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Uddin et al., 2011 <abbrgrp>
										<abbr bid="B12">12</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Lifetime Depression</p>
							</entry>
							<entry colname="c3">
								<p>Detroit Neighborhood Health Survey, a  multiethnic representative survey of low- income neighborhoods in Detroit, MI</p>
							</entry>
							<entry colname="c4">
								<p>40%</p>
							</entry>
							<entry colname="c5">
								<p>14%</p>
							</entry>
							<entry colname="c6">
								<p>33</p>
							</entry>
							<entry colname="c7">
								<p>67</p>
							</entry>
							<entry colname="c8">
								<p>non-specific</p>
							</entry>
							<entry colname="c9">
								<p>whole blood</p>
							</entry>
							<entry colname="c10">
								<p>HumanMethylation 27  beadchip; pyrosequencing  of two loci</p>
							</entry>
							<entry colname="c11">
								<p>McNemar's chi-squared  tests for overall methylation;  Functional annotation  clustering analyzed via  Wilcoxon test, alpha&#8201;&lt;&#8201;0.01</p>
							</entry>
							<entry colname="c12">
								<p>Cases had fewer uniquely unmethylated and  methylated genes than controls. Methylated  genes were associated with lower gene expression.  FACs associated with multicellular organismal  development, lipoprotein activity, and hydrolase  activity were uniquely unmethylated, while those  associated with protease activity, metabolic  processes, and cell development were uniquely  methylated in cases. In controls, FACs associated  with brain development, tryptophan metabolism,  and neuormuscular processes were uniquely  unmethylated, while those involved in signaling,  lipocalin, and tissue development were uniquely  methylated.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>
									<b>Anxiety Disorders</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
							<entry colname="c6"/>
							<entry colname="c7"/>
							<entry colname="c8"/>
							<entry colname="c9"/>
							<entry colname="c10"/>
							<entry colname="c11"/>
							<entry colname="c12"/>
						</row>
						<row>
							<entry colname="c1">
								<p>Elser et al., 2006 <abbrgrp>
										<abbr bid="B13">13</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Panic disorder</p>
							</entry>
							<entry colname="c3">
								<p>N/I</p>
							</entry>
							<entry colname="c4">
								<p>N/I</p>
							</entry>
							<entry colname="c5">
								<p>N/I</p>
							</entry>
							<entry colname="c6">
								<p>24</p>
							</entry>
							<entry colname="c7">
								<p>N/I</p>
							</entry>
							<entry colname="c8">
								<p>NET promotor and exon 9</p>
							</entry>
							<entry colname="c9">
								<p>white blood  cells</p>
							</entry>
							<entry colname="c10">
								<p>CpGenome DNA modification  it and ABI Prism 7700 Sequence  Detection System; chromatin  immunoprecipitation</p>
							</entry>
							<entry colname="c11">
								<p>
									<it>t</it>-test on mean methylation  in promotor region</p>
							</entry>
							<entry colname="c12">
								<p>There was a significant difference in NET promotor  methylation among patients with panic disorder  relative to healthy controls. Promotor regions were  also enriched with the MeCP2 co-repressor complex.</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Uddin et al., 2010 <abbrgrp>
										<abbr bid="B30">30</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Post-traumatic  stress disorder</p>
							</entry>
							<entry colname="c3">
								<p>Detroit Neighborhood Health Survey, a  multiethnic representative survey of  low-income neighborhoods in Detroit, MI</p>
							</entry>
							<entry colname="c4">
								<p>40%</p>
							</entry>
							<entry colname="c5">
								<p>14%</p>
							</entry>
							<entry colname="c6">
								<p>27</p>
							</entry>
							<entry colname="c7">
								<p>77</p>
							</entry>
							<entry colname="c8">
								<p>non-specific</p>
							</entry>
							<entry colname="c9">
								<p>whole blood</p>
							</entry>
							<entry colname="c10">
								<p>HumanMethylation  27 beadchip</p>
							</entry>
							<entry colname="c11">
								<p>McNemar's chi-squared tests  for overall methylation;  Functional annotation  clustering analyzed via  Wilcoxon test, alpha&#8201;&lt;&#8201;0.01</p>
							</entry>
							<entry colname="c12">
								<p>There was no difference in overall methylation level  among PTSD cases relative to controls, however  the number of uniquely methylated genes did  differ by disease status. Uniquely unmethylated  genes in PTSD cases were associated immune  system involvement, including TLR1, TLR3 (innate  immune system), IL8, LTA, and KLRG-1 (adaptive  immune system).</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Uddin et al., 2011 <abbrgrp>
										<abbr bid="B31">31</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Post-traumatic  stress disorder</p>
							</entry>
							<entry colname="c3">
								<p>Detroit Neighborhood Health Survey, a  multiethnic representative survey of  low-income neighborhoods in Detroit, MI</p>
							</entry>
							<entry colname="c4">
								<p>40%</p>
							</entry>
							<entry colname="c5">
								<p>14%</p>
							</entry>
							<entry colname="c6">
								<p>27</p>
							</entry>
							<entry colname="c7">
								<p>77</p>
							</entry>
							<entry colname="c8">
								<p>33 genes previously described in the  literature as associated with PTSD</p>
							</entry>
							<entry colname="c9">
								<p>whole blood</p>
							</entry>
							<entry colname="c10">
								<p>HumanMethylation  27 beadchip</p>
							</entry>
							<entry colname="c11">
								<p>Logistic regression to assess  the relation between  site-specific methylation and  lifetime traumatic events  adjusted for race, smoking,  gender, age, socioeconomic  status, peripheral cell count,  and medication</p>
							</entry>
							<entry colname="c12">
								<p>Only MAN2C1 methylation interacted with number  of potentially traumatic events to significantly  predict lifetime PTSD. Increases in both factors  were associated with increased lifetime PTSD risk.</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Smith et al., 2011 <abbrgrp>
										<abbr bid="B32">32</abbr>
									</abbrgrp>
								</p>
							</entry>
							<entry colname="c2">
								<p>Lifetime post- traumatic stress  disorder</p>
							</entry>
							<entry colname="c3">
								<p>Cohort of African-American pariticipants  recruited at clinical waiting rooms in a  low-income, urban context</p>
							</entry>
							<entry colname="c4">
								<p>63% of cases; 60%  of controls</p>
							</entry>
							<entry colname="c5">
								<p>0%</p>
							</entry>
							<entry colname="c6">
								<p>51 (25 with  childhood trauma)</p>
							</entry>
							<entry colname="c7">
								<p>53 (21 with  childhood  trauma)</p>
							</entry>
							<entry colname="c8">
								<p>non-specific</p>
							</entry>
							<entry colname="c9">
								<p>whole blood</p>
							</entry>
							<entry colname="c10">
								<p>HumanMethylation  27 beadchip</p>
							</entry>
							<entry colname="c11">
								<p>linear mixed model adjusted  for age, sex, and chip effects,  with adjustment for multiple  testing using the false  discovery rate method</p>
							</entry>
							<entry colname="c12">
								<p>Lifetime PTSD was associated with increased  methylation overall. Lifetime PTSD was associated  with increased methylation in TPR, ANXA2, CLEC9A,  ACPT5, and TLR8 compared to controls. CPG site  methylation at BDNF and CXCL1 were associated  with lifetime PTSD. There was no association  between methylation at NR3C1 and SLC6A4  and PTSD.</p>
							</entry>
						</row>
					</tbody>
				</tgroup>
			</table><p>All of the studies concerned with epigenetic factors in suicide assessed gene expression and methylation profiles in the post-mortem brains of suicide completers relative to non-suicide controls <abbrgrp>
					<abbr bid="B14">14</abbr>
					<abbr bid="B15">15</abbr>
					<abbr bid="B16">16</abbr>
					<abbr bid="B17">17</abbr>
					<abbr bid="B18">18</abbr>
					<abbr bid="B19">19</abbr>
					<abbr bid="B20">20</abbr>
					<abbr bid="B21">21</abbr>
					<abbr bid="B22">22</abbr>
					<abbr bid="B23">23</abbr>
					<abbr bid="B24">24</abbr>
					<abbr bid="B25">25</abbr>
				</abbrgrp>, although one study also included adjuvant data about methylation profiles in peripheral leukocytes <abbrgrp>
					<abbr bid="B17">17</abbr>
				</abbrgrp>. Among studies regarding epigenetic factors in the etiology of depression, one study assessed methylation and expression profiles in the post-mortem brain <abbrgrp>
					<abbr bid="B27">27</abbr>
				</abbrgrp>, another assessed methylation and expression of tissue in buccal cells <abbrgrp>
					<abbr bid="B28">28</abbr>
				</abbrgrp>, and the remaining three assessed methylation and expression profiles in peripheral blood <abbrgrp>
					<abbr bid="B12">12</abbr>
					<abbr bid="B26">26</abbr>
					<abbr bid="B29">29</abbr>
				</abbrgrp>. All four studies about epigenetic mechanisms in anxiety disorders assessed methylation and expression in whole blood <abbrgrp>
					<abbr bid="B13">13</abbr>
					<abbr bid="B30">30</abbr>
					<abbr bid="B31">31</abbr>
					<abbr bid="B32">32</abbr>
				</abbrgrp>.</p>
			<sec>
				<st>
					<p>Epigenetic modifications in the etiology of suicide</p>
				</st><p>There were twelve studies concerned with epigenetic mechanisms in the etiology of suicide <abbrgrp>
						<abbr bid="B14">14</abbr>
						<abbr bid="B15">15</abbr>
						<abbr bid="B16">16</abbr>
						<abbr bid="B17">17</abbr>
						<abbr bid="B18">18</abbr>
						<abbr bid="B19">19</abbr>
						<abbr bid="B20">20</abbr>
						<abbr bid="B21">21</abbr>
						<abbr bid="B22">22</abbr>
						<abbr bid="B23">23</abbr>
						<abbr bid="B24">24</abbr>
						<abbr bid="B25">25</abbr>
					</abbrgrp>. Three studies assessed epigenetic mechanisms involved in the expression of Brain Derived Neurotrophic Factor (BDNF) and its receptor, Tropomyosin-Related Kinase B (TrkB). In a study of post-mortem brain tissue from 10 suicide completers and 10 controls matched on age, gender, post-mortem interval and brain pH, Ernst and colleagues <abbrgrp>
						<abbr bid="B18">18</abbr>
					</abbrgrp> found significantly higher methylation of the TrkB.T1 promoter in the frontal cortices of suicide completers relative to controls, and that methylation frequency at sites 2 and 5 of the promoter were associated with lower TrkB.T1 expression. By contrast, Keller and colleagues <abbrgrp>
						<abbr bid="B22">22</abbr>
					</abbrgrp> demonstrated that no significant differences in TrkB.T1 methylation in Wernecke&#8217;s areas of suicide completers relative to non-suicide controls. However, in a 2010 study from the same sample, the group demonstrated that suicide completers had higher rates of methylation at BDNF promoter IV than non-suicide controls, and that BDNF promoter IV methylation was predictive of lower BDNF mRNA expression in cases relative to controls <abbrgrp>
						<abbr bid="B21">21</abbr>
					</abbrgrp>.</p><p>Several studies considered epigenetic modification of genes involved in amine metabolism in the brain. Three studies using data from the Quebec Suicide Brain Bank and non-suicide controls from the same area considered the role of histone methylation at different locations in the etiology of suicide with conflicting results. The first found no association between H3K4me3 methylation at either spermine synthase (SMS) or spermine oxidase (SMOX) and suicide <abbrgrp>
						<abbr bid="B25">25</abbr>
					</abbrgrp>. In addition, there was no association between methylation at either site and risk of suicide <abbrgrp>
						<abbr bid="B25">25</abbr>
					</abbrgrp>. Another found higher H3K4me3 methylation levels, a marker of more open chromatin, at the antizyme 1 (OAZ1) promoter <abbrgrp>
						<abbr bid="B23">23</abbr>
					</abbrgrp>. H3K4me3 methylation was correlated with higher expression of OAZ1 and arginase II (ARG2). A third study by the same group also concerned with epigenetic modification of genes involved in amine metabolism found that spermidine/spermine N<sup>1</sup>-acetyltransferase (SAT1) methylation was not associated with suicide. Similarly, there was no association between H3K27me3 methylation and suicide. A fourth study using post-mortem brain samples of 20 suicide cases and 20 non-suicide controls from the Geneva Institute for Forensic Medicine considered methylation of the spermine/spermidine N<sup>1</sup>-acetyltransferase (SSAT) gene promoter in the ventral prefrontal cortex in the etiology of suicide and found no association between methylation and suicide.</p><p>One study was concerned with epigenetic modifications of genes involved in 5-HT metabolism. De Luca and colleagues studied both the post-mortem brains of suicide completers as well as peripheral blood methylation expression profiles of suicide attempters to assess the role of epigenetic modification of the 5-HT2A C102 in the etiology of suicide <abbrgrp>
						<abbr bid="B17">17</abbr>
					</abbrgrp>. Comparing 10 suicide completers to non-suicide controls matched on genotype, age at death, and previous psychiatric diagnoses, they found no difference in methylation at C102 in the dorsolateral pre-frontal cortex <abbrgrp>
						<abbr bid="B17">17</abbr>
					</abbrgrp>. They also compared methylation profiles at this location in the leukocytes of both suicide attempters and non-suicide controls all of whom had a history of bipolar disorder or schizophrenia. While there were no differences in methylation among bipolar patients, suicide attempters with schizophrenia had significantly higher methylation levels at the C102 location <abbrgrp>
						<abbr bid="B17">17</abbr>
					</abbrgrp>.</p><p>Poulter and colleagues used post-mortem brain samples from several brain regions from 10 suicide completers and 10 non-suicide controls in Budapest to assess the role of DNA methyltransferase (DNMT) expression and subsequent GABA<sub>A</sub> promoter hypermethylation <abbrgrp>
						<abbr bid="B15">15</abbr>
					</abbrgrp>. They found differential DNMT expression in the frontopolar cortices, dorsal vagal complexes, and hippocampi of suicide completers relative to controls, and no difference in the amygdala. Moreover, DNMT-3B upregulation predicted hypermethylation of CpG islands 2 and 4 in the GABA<sub>A</sub> promoter <abbrgrp>
						<abbr bid="B15">15</abbr>
					</abbrgrp>.</p><p>One study considered the role of epigenetic regulation of the neuron-specific glucocorticoid receptor (NR3C1) in suicide etiology among those with a history of childhood abuse <abbrgrp>
						<abbr bid="B19">19</abbr>
					</abbrgrp>. McGowan and colleagues found that in the hippocampi of post-mortem brain tissue among patients matched on age, gender and post-mortem interval, suicide completers with a history of child abuse had higher rates of CpG methylation and lower expression of NR3C1 mRNA than non-abused suicide completers <abbrgrp>
						<abbr bid="B19">19</abbr>
					</abbrgrp>. There were no differences between non-abused suicide completers and non-suicide controls <abbrgrp>
						<abbr bid="B19">19</abbr>
					</abbrgrp>. Another study by the same group also considered the role of epigenetic modification in the etiology of suicide among those abused during childhood <abbrgrp>
						<abbr bid="B14">14</abbr>
					</abbrgrp>. They found more heavy methylation of the rRNA promoter in the hippocampi of suicide completers relative to non-suicide controls <abbrgrp>
						<abbr bid="B14">14</abbr>
					</abbrgrp>. There was, however, no difference in methylation of the rRNA promoter in the cerebellum of suicide completers relative to controls <abbrgrp>
						<abbr bid="B14">14</abbr>
					</abbrgrp>.</p><p>A final study considered the etiology of suicide among depressive patients. Klempan and colleagues assessed differences in methylation and expression of the oligodendrocyte-specific RNA binding protein (QKI) in suicide completers with a history of major depression relative to age-matched non-suicide controls <abbrgrp>
						<abbr bid="B20">20</abbr>
					</abbrgrp>. Although they found that suicide completers had significantly lower mRNA levels of QKI in 11 cortical regions as well as in the amygdala, there were no significant differences in methylation levels between suicide completers and non-suicide controls <abbrgrp>
						<abbr bid="B20">20</abbr>
					</abbrgrp>.</p>
			</sec>
			<sec>
				<st>
					<p>Epigenetic modifications in the etiology of mood disorders</p>
				</st><p>There were five studies concerned with the role of epigenetic modification in the etiology of mood disorders&#8212;all five were concerned specifically with depression <abbrgrp>
						<abbr bid="B12">12</abbr>
						<abbr bid="B26">26</abbr>
						<abbr bid="B27">27</abbr>
						<abbr bid="B28">28</abbr>
						<abbr bid="B29">29</abbr>
					</abbrgrp>. Two studies were concerned with epigenetic influences in genes involved in 5-HT metabolism and depression with mixed results <abbrgrp>
						<abbr bid="B26">26</abbr>
						<abbr bid="B28">28</abbr>
					</abbrgrp>. In a study of participants in the Iowa Adoption Study, Philibert and colleagues assessed the relationship between methylation at the 5-HT transporter (SLC6A4) in lymphoblasts and both history of and current major depression&#8212;they found no association between SLC6A4 methylation or mRNA expression and either outcome <abbrgrp>
						<abbr bid="B26">26</abbr>
					</abbrgrp>. Another study assessed the relation between 5-HT transporter promoter methylation in buccal cells and depression in a nested cohort from the Victorian Adolescent Health Study in Victoria, Australia. While 5-HT transporter promoter methylation did not predict depression on its own, there was a significant interaction between methylation and the short &#8220;s-type&#8221; allele in predicting depression.</p><p>A study by Alt and colleagues assessed the relationship between glucocorticoid receptor (GR) promoter methylation in several regions of the post-mortem brains of depressed patients relative to non-depressed controls from the Dutch Brain Bank matched on age, sex, brain weight, post-mortem delay, and pH of the cerebrospinal fluid <abbrgrp>
						<abbr bid="B27">27</abbr>
					</abbrgrp>. There were no differences in GR mRNA expression levels by disease status nor in methylation patterns in any of the brain regions sampled (amygdala, hippocampus, inferior postulate gyrus, cingulate gyrus, and nucleus accumbens) <abbrgrp>
						<abbr bid="B27">27</abbr>
					</abbrgrp>.</p><p>In a study of a Japanese sample of depressed patients and non-depressed controls recruited from four academic medical centers, Fuchikami and colleagues assessed the relation between BDNF promoter methylation in white blood cells and depression <abbrgrp>
						<abbr bid="B29">29</abbr>
					</abbrgrp>. They found that BDNF promoter methylation at CpG site 1 was associated with depression, although there was no association between CpG methylation at site 4 and the outcome <abbrgrp>
						<abbr bid="B29">29</abbr>
					</abbrgrp>.</p><p>A final study considered &#8220;functional annotation clusters&#8221; (FACs) of epigenetic modifications in the whole blood of a community-based sample in Detroit, MI <abbrgrp>
						<abbr bid="B12">12</abbr>
					</abbrgrp>. The authors found that cases had fewer uniquely unmethylated and methylated genes than controls, and that methylation predicted lower gene expression. FACs associated with multicellular organismal development, lipoprotein activity, and hydrolase activity were uniquely unmethylated, while those associated with protease activity, metabolic processes, and cell development were uniquely methylated among depressed subjects <abbrgrp>
						<abbr bid="B12">12</abbr>
					</abbrgrp>. In controls, FACs involved in brain development, tryptophan metabolism, and neuromuscular processes were uniquely unmethylated, while those involved in signaling, lipocalin, and tissue development were uniquely methylated <abbrgrp>
						<abbr bid="B12">12</abbr>
					</abbrgrp>.</p>
			</sec>
			<sec>
				<st>
					<p>Epigenetic modifications in the etiology of anxiety disorders</p>
				</st><p>There were four studies that considered epigenetic mechanisms in the etiology of anxiety disorders <abbrgrp>
						<abbr bid="B13">13</abbr>
						<abbr bid="B30">30</abbr>
						<abbr bid="B31">31</abbr>
						<abbr bid="B32">32</abbr>
					</abbrgrp>. Three studies were concerned with the etiology of post-traumatic stress disorder (PTSD) <abbrgrp>
						<abbr bid="B30">30</abbr>
						<abbr bid="B31">31</abbr>
						<abbr bid="B32">32</abbr>
					</abbrgrp> and one was concerned with panic disorder <abbrgrp>
						<abbr bid="B13">13</abbr>
					</abbrgrp>.</p><p>With respect to PTSD, none of the three studies considered epigenetic modification of one specific gene pathway. Rather each considered non-specific sets of pathways. A study by Smith and colleagues of a cohort of African-American participants recruited at clinical waiting rooms in a low income context used linear mixed models adjusted for age, sex, and assay effects, found that increased methylation in white blood cells was associated with lifetime PTSD <abbrgrp>
						<abbr bid="B32">32</abbr>
					</abbrgrp>. Moreover, those with lifetime PTSD had increased methylation at several sites, including translocated promoter region (TPR), annexin 2 (ANXA2), c-type lectin-like receptor 9A (CLEC9A), testicular acid phosphatase 5 (ACPT5) and toll-like receptor 8 (TLR8). Methylation at specific CpG islands in BDNF and chemokine ligand 1 (CXCL1) were also associated with lifetime PTSD <abbrgrp>
						<abbr bid="B32">32</abbr>
					</abbrgrp>. Another study by Uddin and colleagues considered unique methylation and unmethylation by FAC <abbrgrp>
						<abbr bid="B30">30</abbr>
					</abbrgrp> in white blood cells of a community-based sample in Detroit, MI. There was no difference in overall methylation levels among PTSD cases relative to controls, however the number of uniquely methylated genes did differ among cases and controls <abbrgrp>
						<abbr bid="B30">30</abbr>
					</abbrgrp>. Uniquely unmethylated genes in PTSD cases were associated immune system involvement, including toll-like receptor 1 (TLR1), toll-like receptor 3 (TLR3) (innate immune system), interleukin 8 (IL8), lymphotoxin alpha (LTA), and killer cell lectin-like receptor G1 (KLRG-1) (adaptive immune system) <abbrgrp>
						<abbr bid="B30">30</abbr>
					</abbrgrp>. Another study among the same population demonstrated effect modification of the relationship between the number of reported potentially traumatic events and the degree of mannosidase 2&#8201;C1 (MAN2C1) methylation, such that among those with increased methylation at MAN2C1 a larger number of potentially traumatic events was more strongly related to PTSD risk <abbrgrp>
						<abbr bid="B31">31</abbr>
					</abbrgrp>.</p><p>A fourth study was concerned with the role of epigenetic modification of the promoter as well as exon 9 of the neuroepithelial cell transforming (NET) gene promotor and exon 9 in the etiology of panic disorder <abbrgrp>
						<abbr bid="B13">13</abbr>
					</abbrgrp>. Using peripheral blood, the authors demonstrated a significant difference in NET promotor methylation relative to healthy controls. Moreover, they noted an enrichment of the MeCP2 co-repressor complex at the promoter regions of NET among cases relative to controls <abbrgrp>
						<abbr bid="B13">13</abbr>
					</abbrgrp>.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Discussion</p>
			</st><p>We systematically reviewed the peer-reviewed literature about the role of epigenetic modification in the etiology of common mood and anxiety disorders and suicide. Twenty-one papers were published between 2001, the publication of the human genome project, and 2011. The majority (12) of studies we found were concerned with evidence of epigenetic changes in the post-mortem brains of suicide completers, with other studies considering epigenetic factors in the etiology of depression, PTSD, and panic disorder. A plurality focused on epigenetic regulation of genes involved in amine, glucocorticoid, and serotonin metabolism in the production of common mood and anxiety disorders and suicide; studies also considered epigenetic modification of a diverse array of other genes.</p><p>Given the small number of studies, drawing substantive conclusions about how epigenetic modifications in specific genes may be operating in the etiology of the diseases in question is not possible at this stage. Our review occasions a synthesis of methodological limitations of the extant literature and recommendations on how investigators may best approach this area in future studies.</p><p>Five methodological limitations to this literature emerge from our review. The first is that studies in this area have suffered from small sample sizes, the consequences of which include lack of power and increased false discovery rates. Second, existing studies have been limited to assessing epigenetic modification in the post-mortem brain or the peripheral blood following disease diagnosis, and drawing inference from either tissue type is problematic. Third, studies have used different techniques to assess epigenetic modifications that may produce heterogeneous results. Fourth, few studies have assessed environmental antecedents to epigenetic modifications in extant studies. Fifth, there appears to be little consensus regarding genome-wide vs. candidate-gene approaches.</p><p>The first methodological limitation to this literature is the use of small sample sizes in most studies, a ubiquitous problem in molecular epidemiology <abbrgrp>
					<abbr bid="B33">33</abbr>
				</abbrgrp>. Of the studies we reviewed, only one included more than fifty cases (e.g., subjects with the outcome). Compounding small sample sizes in studies overall, many of the studies we reviewed limited epigenetic analysis to a subset of the total study population. Small sample sizes limit study power, therefore increasing the likelihood of type II error (e.g., the proportion of false negative findings) <abbrgrp>
					<abbr bid="B33">33</abbr>
				</abbrgrp>. More dangerously, underpowered studies also increase the &#8220;false discovery rate&#8221; or the number of significant findings that fall into type I error (e.g., the proportion of false positive findings), as demonstrated in Equation 1 <abbrgrp>
					<abbr bid="B34">34</abbr>
					<abbr bid="B35">35</abbr>
					<abbr bid="B36">36</abbr>
				</abbrgrp>.</p><p>
				<display-formula id="M1">
					<m:math name="2045-5380-2-10-i1" xmlns:m="http://www.w3.org/1998/Math/MathML"><m:mrow>
   <m:mi>F</m:mi>
   <m:mi>D</m:mi>
   <m:mi>R</m:mi>
   <m:mo>=</m:mo>
   <m:mfrac>
      <m:mrow>
         <m:mi>&#945;</m:mi>
         <m:mfenced open="(" close=")">
            <m:mrow>
               <m:mn>1</m:mn>
               <m:mo>&#8722;</m:mo>
               <m:mi>p</m:mi>
               <m:mi>r</m:mi>
               <m:mi>i</m:mi>
               <m:mi>o</m:mi>
               <m:mi>r</m:mi>
            </m:mrow>
         </m:mfenced>
      </m:mrow>
      <m:mrow>
         <m:mi>&#945;</m:mi>
         <m:mfenced open="(" close=")">
            <m:mrow>
               <m:mn>1</m:mn>
               <m:mo>&#8722;</m:mo>
               <m:mi>p</m:mi>
               <m:mi>r</m:mi>
               <m:mi>i</m:mi>
               <m:mi>o</m:mi>
               <m:mi>r</m:mi>
            </m:mrow>
         </m:mfenced>
         <m:mo>+</m:mo>
         <m:mi>p</m:mi>
         <m:mi>o</m:mi>
         <m:mi>w</m:mi>
         <m:mi>e</m:mi>
         <m:mi>r</m:mi>
         <m:mo>&#8727;</m:mo>
         <m:mi>p</m:mi>
         <m:mi>r</m:mi>
         <m:mi>i</m:mi>
         <m:mi>o</m:mi>
         <m:mi>r</m:mi>
      </m:mrow>
   </m:mfrac>
</m:mrow>
</m:math>
				</display-formula>
			</p><p/>
			<p>^ &#8220;prior&#8221; indicates the proportion of tested hypotheses that are actually correct.</p><p>In this equation, the false discovery rate (FDR) is inversely proportional to power (1-beta), such that low power also yields high FDR, driving up Type I error. Therefore, given the small sample sizes employed in the majority of studies we reviewed, it is likely that the findings suffer from high proportions of both type I and type II error.</p><p>A second limitation is the use post-mortem brain or peripheral cell tissues for epigenetic analyses. Seven of the 21 studies we reviewed analyzed epigenetic modification in peripheral blood cells, and one study analyzed epigenetic modification in buccal mucosa. Although all human cells carry the full endowment of genetic material, cells modify gene expression to efficiently carry out their diverse functions as they specialize, silencing some genes while activating others in line with their physiologic responsibilities. Epigenetic modification is the physiologic process by which genes are silenced or primed for expression <abbrgrp>
					<abbr bid="B37">37</abbr>
					<abbr bid="B38">38</abbr>
				</abbrgrp>. The pathophysiology of mood-anxiety disorders and suicide is localized to the brain and it remains therefore unclear how gene expression in peripheral tissues correlates with physiologically meaningful gene expression in the brain. However, even epigenetic studies using post-mortem brain tissue have challenges. Three of the 21 studies we reviewed analyzed post-mortem brain tissue. While these studies assessed epigenetic changes in the appropriate organ, assessing post-mortem brain tissue carries its own challenges. This is problematic with respect to temporality between exposure and outcome, because post-mortem brains, by definition, can only be harvested after death, and therefore epigenetic modification can only be ascertained after the occurrence of the outcome. Moreover, death often involves acidosis, which may contribute to the instability of genetic material <abbrgrp>
					<abbr bid="B39">39</abbr>
					<abbr bid="B40">40</abbr>
					<abbr bid="B41">41</abbr>
				</abbrgrp>, increasing the likelihood of misclassifying epigenetic modification and increasing the chances of spurious findings. Therefore, much more work is needed to help us understand the physiologic significance of both peripheral tissue and brain methylation patterns.</p><p>A third limitation to the literature is that published studies used different laboratory techniques to measure the degree of epigenetic modification. With respect to DNA methylation alone, there are a number of gene-specific assays currently in use, including bisulfite reaction based DNA sequencing methods, which include bisulfite genomic sequencing PCR <abbrgrp>
					<abbr bid="B42">42</abbr>
				</abbrgrp> and/or methylation specific PCR <abbrgrp>
					<abbr bid="B43">43</abbr>
				</abbrgrp>; genome-wide screens, such as CpG island microarrays <abbrgrp>
					<abbr bid="B44">44</abbr>
				</abbrgrp> and Restriction Landmark Genomic Scanning for Methylation (RLGS-M) techniques <abbrgrp>
					<abbr bid="B45">45</abbr>
				</abbrgrp>; and methylated DNA immunoprecipitation (MeDIP) <abbrgrp>
					<abbr bid="B46">46</abbr>
				</abbrgrp>. There are few studies that have compared the sensitivity and specificity of each method, although a recent study compared two bisulfite sequence-based assays (which are very similar) head-to-head and found as much as an 18% difference in identification of methylated CpG islands in biological replicates of human embryonic stem cells <abbrgrp>
					<abbr bid="B47">47</abbr>
				</abbrgrp>. To our knowledge, there are no &#8220;gold standard&#8221; assays for most epigenetic markers. Therefore, differential use of assays may present a source of misclassification bias in studies, which would ultimately increase the rate of type II error rate in the extant literature.</p><p>Fourth, studies in our review largely failed to assess the environmental exposures thought to produce epigenetic change to begin with. Only three out of 21 of the studies reviewed here included any assessment of a common environmental stressor with respect to epigenetic modifications and their relationship with common mood and anxiety disorders and suicide <abbrgrp>
					<abbr bid="B14">14</abbr>
					<abbr bid="B19">19</abbr>
					<abbr bid="B20">20</abbr>
				</abbrgrp>. This is an important limitation, as there is ample data demonstrating the importance of environmental stressors in the etiology of these disorders <abbrgrp>
					<abbr bid="B48">48</abbr>
				</abbrgrp>. Without assessing common environmental stressors antecedent to epigenetic modifications, our studies fail to adequately test dominant hypotheses about the mediating role of epigenetic changes between environments and outcomes in common mood and anxiety disorders and suicide.</p><p>The fifth limitation is the lack of consensus regarding genome-wide vs. candidate-gene approaches in epigenetic studies. Three of the studies we reviewed used genome-wide approaches <abbrgrp>
					<abbr bid="B12">12</abbr>
					<abbr bid="B30">30</abbr>
					<abbr bid="B32">32</abbr>
				</abbrgrp>, while the remaining 18 studies assessed for epigenetic modifications of candidate genes. Both approaches have limitations. With respect to genome-wide studies, the analyses (and findings) are often unfocused. Unlike in genome-wide association studies, there is no agreed upon method for analysis and synthesis of data or for adjustment for multiple comparisons in genome-wide epigenetic studies. In particular, appropriate adjustment for multiple comparisons can be problematic, increasing the proportion of false-positive findings <abbrgrp>
					<abbr bid="B49">49</abbr>
				</abbrgrp>. Candidate-gene approaches benefit from being hypothesis-driven, and therefore more amenable to thoughtful, model-based study designs. However, candidate-gene approaches face their own limitations. Candidate-gene studies are more likely to yield overall negative results, as these studies test only one hypothesis, as compared to genome-wide studies which test more global hypotheses about the role of epigenetic modification <it>anywhere</it> in the genome influencing risk for outcomes of interest. As candidate-gene approaches are more likely to yield negative overall findings, there is a high probability of publication bias, whereby the literature about candidate-gene epigenetic modification is likely to be highly enriched for positive findings <abbrgrp>
					<abbr bid="B35">35</abbr>
				</abbrgrp>.</p>
			<sec>
				<st>
					<p>Limitations of the review</p>
				</st><p>The reader should be aware of several limitations when considering the findings of our systematic review. First, we limited our review to the published peer-reviewed literature. Therefore, it is plausible that our selection of studies may have been subject to a publication bias, affecting the veracity of our inferences. Second, we organized studies by outcome. This organizational scheme may have also, in part, shaped the inferences drawn here. However, because we limited our inferences largely to methodological critiques of the literature, it is unlikely that either limitation would have had a substantial influence on our interpretation of our findings. Third, our review was limited to only the English-language literature published in journals indexed in two databases. It is plausible that we may have missed literature about epigenetics in relation to common mood and anxiety disorders and suicide published in other languages or in journals that were not indexed in MEDLINE or PSYCHINFO. However, this is less likely, as a detailed search of the citations of included studies yielded no further studies for inclusion in the review.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Conclusions</p>
			</st><p>Research into the epigenetic mechanisms that may underlie common mood and anxiety disorders and suicide has the potential to unite the heretofore disparate bodies of work that have characterized the pathophysiology of these disorders and their population causes, respectively. However, at this nascent stage in the development of this literature, there are several methodological challenges, discussed above, that have yet to be addressed. With respect to these challenges moving forward, studies about the role of epigenetic regulation in the etiology of common mood and anxiety disorders can improve in the following ways.</p><p>As sufficient power and small sizes have dogged extant studies in this area, future studies require larger sample sizes, maximizing power and minimizing the false discovery rate. Furthermore, systematic comparisons of assays used to assess epigenetic modifications are needed as is consensus around what constitute &#8216;gold standard&#8217; laboratory techniques for assessing epigenetic modification. Another challenge to this literature is the validity of using epigenetic data from peripheral blood, epithelial tissue, or post-mortem brain specimens. However, given the obvious limitations to sampling brain tissue in representative populations of living subjects, sampling these tissues may, in the long-term, remain the best available option. Future work associating epigenetic modifications with changes in gene expression and correlating epigenetic modifications in peripheral tissues with brain function may offer one way to address these limitations. Moreover, work in neuroscience to characterize the relationship between real-time brain imaging studies and epigenetic modification in brain regions sampled among patients undergoing neurosurgery, when living-patient brain samples can be collected, could yield imaging markers of epigenetic regulation in the brain. These approaches represent a handful of the many lines of inquiry that could improve our capacity to assess epigenetic modification in the brain. Future studies in this area would also do well to measure epigenetic modification in relation to its environmental antecedents so as to better assess dominant hypotheses about the mediation of the relationship between environmental exposures and common mood and anxiety disorders and suicide by epigenetic modification.</p><p>Lastly, both genome-wide and candidate gene approaches have their role in epigenetic analyses. Genome-wide approaches may be more appropriate for exploratory analyses <abbrgrp>
					<abbr bid="B50">50</abbr>
				</abbrgrp>. However, candidate gene approaches may be better suited for hypothesis-testing regarding the roles of individual genes or sets of genes hypothesized to function in a particular way in disease etiology. It is important that investigators in this area are attuned to the particular strengths and weakness of each approach so that each is used appropriately in studies about the role of epigenetics in the etiology of common mood and anxiety disorders and suicide.</p>
		</sec>
		<sec>
			<st>
				<p>Competing interests</p>
			</st><p>The authors declare that they have no competing interests.</p>
		</sec>
		<sec>
			<st>
				<p>Authors&#8217; contributions</p>
			</st><p>AME extracted data from studies and drafted the manuscript. MRH carried out the literature search and edited the manuscript for intellectual content. SG edited the manuscript for intellectual content. KCK conceived the review, specified review inclusion and exclusion criteria, and edited the manuscript for intellectual content. All authors have read and approve the final version.</p>
		</sec>
	</bdy>
	<bm>
		<ack>
			<sec>
				<st>
					<p>Acknowledgments</p>
				</st><p>AME was funded by the Columbia University Medical Scientist Training Program. KCK was funded by NIH grants MH078928, DA022720, and 5P51RR000165. Funding bodies had no role in the design, interpretation, or presentation of findings.</p>
			</sec>
			<sec>
				<st>
					<p>Author details</p>
				</st><p>
					<sup>1</sup>Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, R521, New York, NY 10032, USA. <sup>2</sup>College of Physicians and Surgeons, Columbia University, New York, NY, USA.<sup>3</sup>Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, 722 W. 168th Street, New York, NY 10032, USA.<sup>4</sup>Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, 1508, New York, NY 10032, USA. <sup>5</sup>Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W. 168th Street, R720G, New York, NY 10032, USA.</p>
			</sec>
		</ack>
		<refgrp><bibl id="B1"><title><p>Mental Disorders</p></title><aug><au><snm>Hyman</snm><fnm>S</fnm></au><au><snm>Chisholm</snm><fnm>D</fnm></au><au><snm>Kessler</snm><fnm>R</fnm></au><au><snm>Patel</snm><fnm>V</fnm></au><au><snm>Whiteford</snm><fnm>H</fnm></au><etal/></aug><source>Disease control priorities in developing countries</source><publisher>Geneva: World Health Organization</publisher><editor>Jamison DT, Breman JG, Measham AR</editor><edition>2 edition</edition><pubdate>2006</pubdate></bibl><bibl id="B2"><aug><au><snm>Mathers</snm><fnm>CD</fnm></au><au><snm>Stein</snm><fnm>C</fnm></au><au><snm>Fat</snm><fnm>DM</fnm></au></aug><source>Global Burden of Disease: 2004 Update</source><publisher>Geneva: World Health Organization</publisher><pubdate>2008</pubdate></bibl><bibl id="B3"><title><p>Cost-of-illness studies of depression: A systematic review</p></title><aug><au><snm>Luppa</snm><fnm>M</fnm></au><au><snm>Heinrich</snm><fnm>S</fnm></au><au><snm>Angermeyer</snm><fnm>MC</fnm></au><au><snm>K&#246;nig</snm><fnm>H</fnm></au><au><snm>Riedel-Heller</snm><fnm>SG</fnm></au></aug><source>J Affect Disord</source><pubdate>2007</pubdate><volume>98</volume><issue>1&#8211;2</issue><fpage>29</fpage><lpage>43</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">16952399</pubid></xrefbib></bibl><bibl id="B4"><title><p>Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis</p></title><aug><au><snm>Risch</snm><fnm>N</fnm></au><au><snm>Herrell</snm><fnm>R</fnm></au><au><snm>Lehner</snm><fnm>T</fnm></au><au><snm>Liang</snm><fnm>KY</fnm></au><au><snm>Eaves</snm><fnm>L</fnm></au><au><snm>Hoh</snm><fnm>J</fnm></au><au><snm>Griem</snm><fnm>A</fnm></au><au><snm>Kovacs</snm><fnm>M</fnm></au><au><snm>Ott</snm><fnm>J</fnm></au><au><snm>Merikangas</snm><fnm>KR</fnm></au></aug><source>JAMA</source><pubdate>2009</pubdate><volume>301</volume><issue>23</issue><fpage>2462</fpage><lpage>2471</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1001/jama.2009.878</pubid><pubid idtype="pmcid">2938776</pubid><pubid idtype="pmpid" link="fulltext">19531786</pubid></pubidlist></xrefbib></bibl><bibl id="B5"><title><p>Neighborhood characteristics and change in depressive symptoms among older residents of New York City</p></title><aug><au><snm>Beard</snm><fnm>JR</fnm></au><au><snm>Cerda</snm><fnm>M</fnm></au><au><snm>Blaney</snm><fnm>S</fnm></au><au><snm>Ahern</snm><fnm>J</fnm></au><au><snm>Vlahov</snm><fnm>D</fnm></au><au><snm>Galea</snm><fnm>S</fnm></au></aug><source>Am J Public Health</source><pubdate>2009</pubdate><volume>99</volume><issue>7</issue><fpage>1308</fpage><lpage>1314</lpage><xrefbib><pubidlist><pubid idtype="doi">10.2105/AJPH.2007.125104</pubid><pubid idtype="pmcid">2696669</pubid><pubid idtype="pmpid" link="fulltext">19008519</pubid></pubidlist></xrefbib></bibl><bibl id="B6"><title><p>Urban neighborhood poverty and the incidence of depression in a population-based cohort study</p></title><aug><au><snm>Galea</snm><fnm>S</fnm></au><au><snm>Ahern</snm><fnm>J</fnm></au><au><snm>Nandi</snm><fnm>A</fnm></au><au><snm>Tracy</snm><fnm>M</fnm></au><au><snm>Beard</snm><fnm>J</fnm></au><au><snm>Vlahov</snm><fnm>D</fnm></au></aug><source>Ann Epidemiol</source><pubdate>2007</pubdate><volume>17</volume><issue>3</issue><fpage>171</fpage><lpage>179</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.annepidem.2006.07.008</pubid><pubid idtype="pmcid">2442459</pubid><pubid idtype="pmpid" link="fulltext">17320784</pubid></pubidlist></xrefbib></bibl><bibl id="B7"><title><p>Wellcome Trust Case&#8211;control Consortium: Meta-analysis of genome-wide association data of bipolar disorder and major depressive disorder</p></title><aug><au><snm>Liu</snm><fnm>Y</fnm></au><au><snm>Blackwood</snm><fnm>DH</fnm></au><au><snm>Caesar</snm><fnm>S</fnm></au><au><snm>de Geus</snm><fnm>EJ</fnm></au><au><snm>Farmer</snm><fnm>A</fnm></au><au><snm>Ferreira</snm><fnm>MA</fnm></au><au><snm>Ferrier</snm><fnm>IN</fnm></au><au><snm>Fraser</snm><fnm>C</fnm></au><au><snm>Gordon-Smith</snm><fnm>K</fnm></au><au><snm>Green</snm><fnm>EK</fnm></au><au><snm>Grozeva</snm><fnm>D</fnm></au><au><snm>Gurling</snm><fnm>HM</fnm></au><au><snm>Hamshere</snm><fnm>ML</fnm></au><au><snm>Heutink</snm><fnm>P</fnm></au><au><snm>Holmans</snm><fnm>PA</fnm></au><au><snm>Hoogendijk</snm><fnm>WJ</fnm></au><au><snm>Hottenga</snm><fnm>JJ</fnm></au><au><snm>Jones</snm><fnm>L</fnm></au><au><snm>Jones</snm><fnm>IR</fnm></au><au><snm>Kirov</snm><fnm>G</fnm></au><au><snm>Lin</snm><fnm>D</fnm></au><au><snm>McGuffin</snm><fnm>P</fnm></au><au><snm>Moskvina</snm><fnm>V</fnm></au><au><snm>Nolen</snm><fnm>WA</fnm></au><au><snm>Perlis</snm><fnm>RH</fnm></au><au><snm>Posthuma</snm><fnm>D</fnm></au><au><snm>Scolnick</snm><fnm>EM</fnm></au><au><snm>Smit</snm><fnm>AB</fnm></au><au><snm>Smit</snm><fnm>JH</fnm></au><au><snm>Smoller</snm><fnm>JW</fnm></au><au><snm>St Clair</snm><fnm>D</fnm></au><au><snm>van Dyck</snm><fnm>R</fnm></au><au><snm>Verhage</snm><fnm>M</fnm></au><au><snm>Willemsen</snm><fnm>G</fnm></au><au><snm>Young</snm><fnm>AH</fnm></au><au><snm>Zandbelt</snm><fnm>T</fnm></au><au><snm>Boomsma</snm><fnm>DI</fnm></au><au><snm>Craddock</snm><fnm>N</fnm></au><au><snm>O&apos;Donovan</snm><fnm>MC</fnm></au><au><snm>Owen</snm><fnm>MJ</fnm></au><au><snm>Penninx</snm><fnm>BW</fnm></au><au><snm>Purcell</snm><fnm>S</fnm></au><au><snm>Sklar</snm><fnm>P</fnm></au><au><snm>Sullivan</snm><fnm>PF</fnm></au></aug><source>Mol Psychiatry</source><pubdate>2011</pubdate><volume>16</volume><issue>1</issue><fpage>2</fpage><lpage>4</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1038/mp.2009.107</pubid><pubid idtype="pmpid" link="fulltext">20351715</pubid></pubidlist></xrefbib></bibl><bibl id="B8"><title><p>The urban environment and mental disorders: Epigenetic links</p></title><aug><au><snm>Galea</snm><fnm>S</fnm></au><au><snm>Uddin</snm><fnm>M</fnm></au><au><snm>Koenen</snm><fnm>K</fnm></au></aug><source>Epigenetics</source><pubdate>2011</pubdate><volume>6</volume><issue>4</issue><fpage>400</fpage><lpage>404</lpage><xrefbib><pubidlist><pubid idtype="doi">10.4161/epi.6.4.14944</pubid><pubid idtype="pmcid">3230535</pubid><pubid idtype="pmpid" link="fulltext">21343702</pubid></pubidlist></xrefbib></bibl><bibl id="B9"><title><p>Exploring and explaining epigenetic effects</p></title><aug><au><snm>Henikoff</snm><fnm>S</fnm></au><au><snm>Matzke</snm><fnm>MA</fnm></au></aug><source>Trends Genet</source><pubdate>1997</pubdate><volume>13</volume><issue>8</issue><fpage>293</fpage><lpage>295</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/S0168-9525(97)01219-5</pubid><pubid idtype="pmpid" link="fulltext">9260513</pubid></pubidlist></xrefbib></bibl><bibl id="B10"><title><p>Environmental epigenomics and disease susceptibility</p></title><aug><au><snm>Jirtle</snm><fnm>RL</fnm></au><au><snm>Skinner</snm><fnm>MK</fnm></au></aug><source>Nat Rev Genet</source><pubdate>2007</pubdate><volume>8</volume><issue>4</issue><fpage>253</fpage><lpage>262</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1038/nrg2045</pubid><pubid idtype="pmpid" link="fulltext">17363974</pubid></pubidlist></xrefbib></bibl><bibl id="B11"><title><p>Epigenetic regulation in psychiatric disorders</p></title><aug><au><snm>Tsankova</snm><fnm>N</fnm></au><au><snm>Renthal</snm><fnm>W</fnm></au><au><snm>Kumar</snm><fnm>A</fnm></au><au><snm>Nestler</snm><fnm>EJ</fnm></au></aug><source>Nat Rev Neurosci</source><pubdate>2007</pubdate><volume>8</volume><issue>5</issue><fpage>355</fpage><lpage>367</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">17453016</pubid></xrefbib></bibl><bibl id="B12"><title><p>Epigenetic and inflammatory marker profiles associated with depression in a community-based epidemiologic sample</p></title><aug><au><snm>Uddin</snm><fnm>M</fnm></au><au><snm>Koenen</snm><fnm>KC</fnm></au><au><snm>Aiello</snm><fnm>AE</fnm></au><au><snm>Wildman</snm><fnm>DE</fnm></au><au><snm>de los Santos</snm><fnm>R</fnm></au><au><snm>Galea</snm><fnm>S</fnm></au></aug><source>Psychol Med</source><pubdate>2011</pubdate><volume>41</volume><issue>05</issue><fpage>997</fpage><lpage>1007</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1017/S0033291710001674</pubid><pubid idtype="pmcid">3065166</pubid><pubid idtype="pmpid" link="fulltext">20836906</pubid></pubidlist></xrefbib></bibl><bibl id="B13"><title><p>The neuronal noradrenaline transporter, anxiety and cardiovascular disease</p></title><aug><au><snm>Esler</snm><fnm>M</fnm></au><au><snm>Alvarenga</snm><fnm>M</fnm></au><au><snm>Pier</snm><fnm>C</fnm></au><au><snm>Richards</snm><fnm>J</fnm></au><au><snm>El-Osta</snm><fnm>A</fnm></au><au><snm>Barton</snm><fnm>D</fnm></au><au><snm>Haikerwal</snm><fnm>D</fnm></au><au><snm>Kaye</snm><fnm>D</fnm></au><au><snm>Schlaich</snm><fnm>M</fnm></au><au><snm>Guo</snm><fnm>L</fnm></au><au><snm>Jennings</snm><fnm>G</fnm></au><au><snm>Socratous</snm><fnm>F</fnm></au><au><snm>Lambert</snm><fnm>G</fnm></au></aug><source>J Psychopharmacol</source><pubdate>2006</pubdate><volume>20</volume><issue>4 suppl</issue><fpage>60</fpage><lpage>66</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1177/1359786806066055</pubid><pubid idtype="pmpid" link="fulltext">16785272</pubid></pubidlist></xrefbib></bibl><bibl id="B14"><title><p>Promoter-wide hypermethylation of the ribosomal RNA gene promoter in the suicide brain</p></title><aug><au><snm>McGowan</snm><fnm>PO</fnm></au><au><snm>Sasaki</snm><fnm>A</fnm></au><au><snm>Huang</snm><fnm>TC</fnm></au><au><snm>Unterberger</snm><fnm>A</fnm></au><au><snm>Suderman</snm><fnm>M</fnm></au><au><snm>Ernst</snm><fnm>C</fnm></au><au><snm>Meaney</snm><fnm>MJ</fnm></au><au><snm>Turecki</snm><fnm>G</fnm></au><au><snm>Szyf</snm><fnm>M</fnm></au></aug><source>PLoS One</source><pubdate>2008</pubdate><volume>3</volume><issue>5</issue><fpage>e2085</fpage><xrefbib><pubidlist><pubid idtype="doi">10.1371/journal.pone.0002085</pubid><pubid idtype="pmcid">2330072</pubid><pubid idtype="pmpid" link="fulltext">18461137</pubid></pubidlist></xrefbib></bibl><bibl id="B15"><title><p>GABAA Receptor Promoter Hypermethylation in Suicide Brain: Implications for the Involvement of Epigenetic Processes</p></title><aug><au><snm>Poulter</snm><fnm>MO</fnm></au><au><snm>Du</snm><fnm>L</fnm></au><au><snm>Weaver</snm><fnm>ICG</fnm></au><au><snm>Palkovits</snm><fnm>M</fnm></au><au><snm>Faludi</snm><fnm>G</fnm></au><au><snm>Merali</snm><fnm>Z</fnm></au><au><snm>Szyf</snm><fnm>M</fnm></au><au><snm>Anisman</snm><fnm>H</fnm></au></aug><source>Biol Psychiatry</source><pubdate>2008</pubdate><volume>64</volume><issue>8</issue><fpage>645</fpage><lpage>652</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.biopsych.2008.05.028</pubid><pubid idtype="pmpid" link="fulltext">18639864</pubid></pubidlist></xrefbib></bibl><bibl id="B16"><title><p>Genetic and epigenetic analysis of SSAT gene dysregulation in suicidal behavior</p></title><aug><au><snm>Guipponi</snm><fnm>M</fnm></au><au><snm>Deutsch</snm><fnm>S</fnm></au><au><snm>Kohler</snm><fnm>K</fnm></au><au><snm>Perroud</snm><fnm>N</fnm></au><au><snm>Le Gal</snm><fnm>F</fnm></au><au><snm>Vessaz</snm><fnm>M</fnm></au><au><snm>Laforge</snm><fnm>T</fnm></au><au><snm>Petit</snm><fnm>B</fnm></au><au><snm>Jollant</snm><fnm>F</fnm></au><au><snm>Guillaume</snm><fnm>S</fnm></au><au><snm>Baud</snm><fnm>P</fnm></au><au><snm>Courtet</snm><fnm>P</fnm></au><au><snm>La Harpe</snm><fnm>R</fnm></au><au><snm>Malafosse</snm><fnm>A</fnm></au></aug><source>Am J Med Genet B Neuropsychiatr Genet</source><pubdate>2009</pubdate><volume>150B</volume><issue>6</issue><fpage>799</fpage><lpage>807</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1002/ajmg.b.30901</pubid><pubid idtype="pmpid" link="fulltext">19051286</pubid></pubidlist></xrefbib></bibl><bibl id="B17"><title><p>Methylation and QTDT analysis of the 5-HT2A receptor 102&#8201;C allele: Analysis of suicidality in major psychosis</p></title><aug><au><snm>Luca</snm><fnm>VD</fnm></au><au><snm>Viggiano</snm><fnm>E</fnm></au><au><snm>Dhoot</snm><fnm>R</fnm></au><au><snm>Kennedy</snm><fnm>JL</fnm></au><au><snm>Wong</snm><fnm>AHC</fnm></au></aug><source>J Psychiatr Res</source><pubdate>2009</pubdate><volume>43</volume><issue>5</issue><fpage>532</fpage><lpage>537</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.jpsychires.2008.07.007</pubid><pubid idtype="pmpid" link="fulltext">18783799</pubid></pubidlist></xrefbib></bibl><bibl id="B18"><title><p>Alternative Splicing, Methylation State, and Expression Profile of Tropomyosin-Related Kinase B in the Frontal Cortex of Suicide Completers</p></title><aug><au><snm>Ernst</snm><fnm>CC</fnm></au><au><snm>Deleva</snm><fnm>V</fnm></au><au><snm>Deng</snm><fnm>X</fnm></au><au><snm>Sequeira</snm><fnm>A</fnm></au><au><snm>Pomarenski</snm><fnm>A</fnm></au><au><snm>Klempan</snm><fnm>T</fnm></au><au><snm>Ernst</snm><fnm>N</fnm></au><au><snm>Quirion</snm><fnm>R</fnm></au><au><snm>Gratton</snm><fnm>A</fnm></au><au><snm>Szyf</snm><fnm>M</fnm></au><au><snm>Turecki</snm><fnm>G</fnm></au></aug><source>Arch Gen Psychiatry</source><pubdate>2009</pubdate><volume>66</volume><issue>1</issue><fpage>22</fpage><lpage>32</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1001/archpsyc.66.1.22</pubid><pubid idtype="pmpid" link="fulltext">19124685</pubid></pubidlist></xrefbib></bibl><bibl id="B19"><title><p>Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse</p></title><aug><au><snm>McGowan</snm><fnm>PPO</fnm></au></aug><source>Nat Neurosci</source><pubdate>2009</pubdate><volume>12</volume><issue>3</issue><fpage>342</fpage><lpage>348</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1038/nn.2270</pubid><pubid idtype="pmcid">2944040</pubid><pubid idtype="pmpid" link="fulltext">19234457</pubid></pubidlist></xrefbib></bibl><bibl id="B20"><title><p>Characterization of QKI Gene Expression, Genetics, and Epigenetics in Suicide Victims with Major Depressive Disorder</p></title><aug><au><snm>Klempan</snm><fnm>TA</fnm></au><au><snm>Ernst</snm><fnm>C</fnm></au><au><snm>Deleva</snm><fnm>V</fnm></au><au><snm>Labonte</snm><fnm>B</fnm></au><au><snm>Turecki</snm><fnm>G</fnm></au></aug><source>Biol Psychiatry</source><pubdate>2009</pubdate><volume>66</volume><issue>9</issue><fpage>824</fpage><lpage>831</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.biopsych.2009.05.010</pubid><pubid idtype="pmpid" link="fulltext">19545858</pubid></pubidlist></xrefbib></bibl><bibl id="B21"><title><p>Increased BDNF Promoter Methylation in the Wernicke Area of Suicide Subjects</p></title><aug><au><snm>Keller</snm><fnm>S</fnm></au><au><snm>Sarchiapone</snm><fnm>M</fnm></au><au><snm>Zarrilli</snm><fnm>F</fnm></au><au><snm>Videtic</snm><fnm>A</fnm></au><au><snm>Ferraro</snm><fnm>A</fnm></au><au><snm>Carli</snm><fnm>V</fnm></au><au><snm>Sacchetti</snm><fnm>S</fnm></au><au><snm>Lembo</snm><fnm>F</fnm></au><au><snm>Angiolillo</snm><fnm>A</fnm></au><au><snm>Jovanovic</snm><fnm>N</fnm></au><au><snm>Pisanti</snm><fnm>F</fnm></au><au><snm>Tomaiuolo</snm><fnm>R</fnm></au><au><snm>Monticelli</snm><fnm>A</fnm></au><au><snm>Balazic</snm><fnm>J</fnm></au><au><snm>Roy</snm><fnm>A</fnm></au><au><snm>Marusic</snm><fnm>A</fnm></au><au><snm>Cocozza</snm><fnm>S</fnm></au><au><snm>Fusco</snm><fnm>A</fnm></au><au><snm>Bruni</snm><fnm>CB</fnm></au><au><snm>Castaldo</snm><fnm>G</fnm></au><au><snm>Chiariotti</snm><fnm>L</fnm></au></aug><source>Arch Gen Psychiatry</source><pubdate>2010</pubdate><volume>67</volume><issue>3</issue><fpage>258</fpage><lpage>267</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1001/archgenpsychiatry.2010.9</pubid><pubid idtype="pmpid" link="fulltext">20194826</pubid></pubidlist></xrefbib></bibl><bibl id="B22"><title><p>TrkB gene expression and DNA methylation state in Wernicke area does not associate with suicidal behavior</p></title><aug><au><snm>Keller</snm><fnm>S</fnm></au><au><snm>Sarchiapone</snm><fnm>M</fnm></au><au><snm>Zarrilli</snm><fnm>F</fnm></au><au><snm>Tomaiuolo</snm><fnm>R</fnm></au><au><snm>Carli</snm><fnm>V</fnm></au><au><snm>Angrisano</snm><fnm>T</fnm></au><au><snm>Videtic</snm><fnm>A</fnm></au><au><snm>Amato</snm><fnm>F</fnm></au><au><snm>Pero</snm><fnm>R</fnm></au><au><snm>di Giannantonio</snm><fnm>M</fnm></au><au><snm>Iosue</snm><fnm>M</fnm></au><au><snm>Lembo</snm><fnm>F</fnm></au><au><snm>Castaldo</snm><fnm>G</fnm></au><au><snm>Chiariotti</snm><fnm>L</fnm></au></aug><source>J Affect Disord</source><pubdate>2011</pubdate><volume>135</volume><issue>1&#8211;3</issue><fpage>400</fpage><lpage>404</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">21802740</pubid></xrefbib></bibl><bibl id="B23"><title><p>Effects of histone modifications on increased expression of polyamine biosynthetic genes in suicide</p></title><aug><au><snm>Fiori</snm><fnm>LM</fnm></au><au><snm>Gross</snm><fnm>JA</fnm></au><au><snm>Turecki</snm><fnm>G</fnm></au></aug><source>Int J Neuropsychopharmacol</source><pubdate>2011</pubdate><volume>19</volume><fpage>1</fpage><lpage>6</lpage></bibl><bibl id="B24"><title><p>Epigenetic regulation of spermidine/spermine N1-acetyltransferase (SAT1) in Suicide</p></title><aug><au><snm>Fiori</snm><fnm>LM</fnm></au><au><snm>Turecki</snm><fnm>G</fnm></au></aug><source>J Psychiatr Res</source><pubdate>2011</pubdate><volume>45</volume><issue>9</issue><fpage>1229</fpage><lpage>1235</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.jpsychires.2011.03.015</pubid><pubid idtype="pmpid" link="fulltext">21501848</pubid></pubidlist></xrefbib></bibl><bibl id="B25"><title><p>Genetic and epigenetic influences on expression of spermine synthase and spermine oxidase in suicide completers</p></title><aug><au><snm>Fiori</snm><fnm>LM</fnm></au><au><snm>Turecki</snm><fnm>G</fnm></au></aug><source>Int J Neuropsychopharmacol</source><pubdate>2010</pubdate><volume>13</volume><issue>6</issue><fpage>725</fpage><lpage>736</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1017/S1461145709991167</pubid><pubid idtype="pmpid" link="fulltext">20059804</pubid></pubidlist></xrefbib></bibl><bibl id="B26"><title><p>The relationship of 5HTT (SLC6A4) methylation and genotype on mRNA expression and liability to major depression and alcohol dependence in subjects from the Iowa Adoption Studies</p></title><aug><au><snm>Philibert</snm><fnm>RA</fnm></au><au><snm>Sandhu</snm><fnm>H</fnm></au><au><snm>Hollenbeck</snm><fnm>N</fnm></au><au><snm>Gunter</snm><fnm>T</fnm></au><au><snm>Adams</snm><fnm>W</fnm></au><au><snm>Madan</snm><fnm>A</fnm></au></aug><source>Am J Med Genet B Neuropsychiatr Genet</source><pubdate>2008</pubdate><volume>147B</volume><issue>5</issue><fpage>543</fpage><lpage>549</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1002/ajmg.b.30657</pubid><pubid idtype="pmpid" link="fulltext">17987668</pubid></pubidlist></xrefbib></bibl><bibl id="B27"><title><p>Differential expression of glucocorticoid receptor transcripts in major depressive disorder is not epigenetically programmed</p></title><aug><au><snm>Alt</snm><fnm>SR</fnm></au><au><snm>Turner</snm><fnm>JD</fnm></au><au><snm>Klok</snm><fnm>MD</fnm></au><au><snm>Meijer</snm><fnm>OC</fnm></au><au><snm>Lakke</snm><fnm>EAJF</fnm></au><au><snm>DeRijk</snm><fnm>RH</fnm></au><au><snm>Muller</snm><fnm>CP</fnm></au></aug><source>Psychoneuroendocrinology</source><pubdate>2010</pubdate><volume>35</volume><issue>4</issue><fpage>544</fpage><lpage>556</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.psyneuen.2009.09.001</pubid><pubid idtype="pmpid" link="fulltext">19782477</pubid></pubidlist></xrefbib></bibl><bibl id="B28"><title><p>Prospects for epigenetic research within cohort studies of psychological disorder: A pilot investigation of a peripheral cell marker of epigenetic risk for depression</p></title><aug><au><snm>Olsson</snm><fnm>CA</fnm></au><au><snm>Foley</snm><fnm>DL</fnm></au><au><snm>Parkinson-Bates</snm><fnm>M</fnm></au><au><snm>Byrnes</snm><fnm>G</fnm></au><au><snm>McKenzie</snm><fnm>M</fnm></au><au><snm>Patton</snm><fnm>GC</fnm></au><au><snm>Morley</snm><fnm>R</fnm></au><au><snm>Anney</snm><fnm>RJL</fnm></au><au><snm>Craig</snm><fnm>JM</fnm></au><au><snm>Saffery</snm><fnm>R</fnm></au></aug><source>Biol Psychol</source><pubdate>2010</pubdate><volume>83</volume><issue>2</issue><fpage>159</fpage><lpage>165</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.biopsycho.2009.12.003</pubid><pubid idtype="pmpid" link="fulltext">20018225</pubid></pubidlist></xrefbib></bibl><bibl id="B29"><title><p>DNA Methylation Profiles of the Brain-Derived Neurotrophic Factor (BDNF) Gene as a Potent Diagnostic Biomarker in Major Depression</p></title><aug><au><snm>Fuchikami</snm><fnm>M</fnm></au><au><snm>Morinobu</snm><fnm>S</fnm></au><au><snm>Segawa</snm><fnm>M</fnm></au><au><snm>Okamoto</snm><fnm>Y</fnm></au><au><snm>Yamawaki</snm><fnm>S</fnm></au><au><snm>Ozaki</snm><fnm>N</fnm></au><au><snm>Inoue</snm><fnm>T</fnm></au><au><snm>Kusumi</snm><fnm>I</fnm></au><au><snm>Koyama</snm><fnm>T</fnm></au><au><snm>Tsuchiyama</snm><fnm>K</fnm></au><au><snm>Terao</snm><fnm>T</fnm></au></aug><source>PLoS One</source><pubdate>2011</pubdate><volume>6</volume><issue>8</issue><fpage>e23881</fpage><xrefbib><pubidlist><pubid idtype="doi">10.1371/journal.pone.0023881</pubid><pubid idtype="pmcid">3166055</pubid><pubid idtype="pmpid" link="fulltext">21912609</pubid></pubidlist></xrefbib></bibl><bibl id="B30"><title><p>Epigenetic and immune function profiles associated with posttraumatic stress disorder</p></title><aug><au><snm>Uddin</snm><fnm>M</fnm></au><au><snm>Aiello</snm><fnm>AE</fnm></au><au><snm>Wildman</snm><fnm>DE</fnm></au><au><snm>Koenen</snm><fnm>KC</fnm></au><au><snm>Pawelec</snm><fnm>G</fnm></au><au><snm>de los Santos</snm><fnm>R</fnm></au><au><snm>Goldmann</snm><fnm>E</fnm></au><au><snm>Galea</snm><fnm>S</fnm></au></aug><source>Proc Natl Acad Sci</source><pubdate>2010</pubdate><volume>107</volume><issue>20</issue><fpage>9470</fpage><lpage>9475</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1073/pnas.0910794107</pubid><pubid idtype="pmcid">2889041</pubid><pubid idtype="pmpid" link="fulltext">20439746</pubid></pubidlist></xrefbib></bibl><bibl id="B31"><title><p>Gene expression and methylation signatures of MAN2C1 are associated with PTSD</p></title><aug><au><snm>Uddin</snm><fnm>M</fnm></au><au><snm>Galea</snm><fnm>S</fnm></au><au><snm>Aiello</snm><fnm>AE</fnm></au><au><snm>Wildman</snm><fnm>DE</fnm></au><au><snm>de los Santos</snm><fnm>R</fnm></au><au><snm>Koenen</snm><fnm>KC</fnm></au></aug><source>Dis Markers</source><pubdate>2011</pubdate><volume>30</volume><issue>2</issue><fpage>111</fpage><lpage>121</lpage><xrefbib><pubidlist><pubid idtype="pmcid">3188659</pubid><pubid idtype="pmpid" link="fulltext">21508515</pubid></pubidlist></xrefbib></bibl><bibl id="B32"><title><p>Differential immune system DNA methylation and cytokine regulation in post-traumatic stress disorder</p></title><aug><au><snm>Smith</snm><fnm>AK</fnm></au><au><snm>Conneely</snm><fnm>KN</fnm></au><au><snm>Kilaru</snm><fnm>V</fnm></au><au><snm>Mercer</snm><fnm>KB</fnm></au><au><snm>Weiss</snm><fnm>TE</fnm></au><au><snm>Bradley</snm><fnm>B</fnm></au><au><snm>Tang</snm><fnm>Y</fnm></au><au><snm>Gillespie</snm><fnm>CF</fnm></au><au><snm>Cubells</snm><fnm>JF</fnm></au><au><snm>Ressler</snm><fnm>KJ</fnm></au></aug><source>Am J Med Genet B Neuropsychiatr Genet</source><pubdate>2011</pubdate><volume>156</volume><issue>6</issue><fpage>700</fpage><lpage>708</lpage><xrefbib><pubid idtype="doi">10.1002/ajmg.b.31212</pubid></xrefbib></bibl><bibl id="B33"><title><p>Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology</p></title><aug><au><snm>Burton</snm><fnm>PR</fnm></au><au><snm>Hansell</snm><fnm>AL</fnm></au><au><snm>Fortier</snm><fnm>I</fnm></au><au><snm>Manolio</snm><fnm>TA</fnm></au><au><snm>Khoury</snm><fnm>MJ</fnm></au><au><snm>Little</snm><fnm>J</fnm></au><au><snm>Elliott</snm><fnm>P</fnm></au></aug><source>Int J Epidemiol</source><pubdate>2009</pubdate><volume>38</volume><issue>1</issue><fpage>263</fpage><lpage>273</lpage><xrefbib><pubidlist><pubid idtype="pmcid">2639365</pubid><pubid idtype="pmpid" link="fulltext">18676414</pubid></pubidlist></xrefbib></bibl><bibl id="B34"><title><p>Controlling the false discovery rate: a practical and powerful approach to multiple testing</p></title><aug><au><snm>Benjamini</snm><fnm>Y</fnm></au><au><snm>Hochberg</snm><fnm>Y</fnm></au></aug><source>J R Statist Soc B</source><pubdate>1995</pubdate><volume>57</volume><issue>1</issue><fpage>289</fpage><lpage>300</lpage></bibl><bibl id="B35"><title><p>A Critical Review of the First 10 Years of Candidate Gene-by-Environment Interaction Research in Psychiatry</p></title><aug><au><snm>Duncan</snm><fnm>LE</fnm></au><au><snm>Keller</snm><fnm>MC</fnm></au></aug><source>Am J Psychiatry</source><pubdate>2011</pubdate><volume>168</volume><issue>10</issue><fpage>1041</fpage><lpage>1049</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1176/appi.ajp.2011.11020191</pubid><pubid idtype="pmcid">3222234</pubid><pubid idtype="pmpid" link="fulltext">21890791</pubid></pubidlist></xrefbib></bibl><bibl id="B36"><title><p>Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies</p></title><aug><au><snm>Wacholder</snm><fnm>S</fnm></au><au><snm>Chanock</snm><fnm>S</fnm></au><au><snm>Garcia-Closas</snm><fnm>M</fnm></au><au><snm>El Ghormli</snm><fnm></fnm></au><au><snm>Rothman</snm><fnm>N</fnm></au></aug><source>J Natl Cancer Inst</source><pubdate>2004</pubdate><volume>96</volume><issue>6</issue><fpage>434</fpage><lpage>442</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1093/jnci/djh075</pubid><pubid idtype="pmpid" link="fulltext">15026468</pubid></pubidlist></xrefbib></bibl><bibl id="B37"><title><p>Role of covalent modifications of histones in regulating gene expression</p></title><aug><au><snm>Spencer</snm><fnm>VA</fnm></au><au><snm>Davie</snm><fnm>JR</fnm></au></aug><source>Gene</source><pubdate>1999</pubdate><volume>240</volume><issue>1</issue><fpage>1</fpage><lpage>12</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/S0378-1119(99)00405-9</pubid><pubid idtype="pmpid" link="fulltext">10564807</pubid></pubidlist></xrefbib></bibl><bibl id="B38"><title><p>The complex language of chromatin regulation during transcription</p></title><aug><au><snm>Berger</snm><fnm>SL</fnm></au></aug><source>Nature</source><pubdate>2007</pubdate><volume>447</volume><issue>7143</issue><fpage>407</fpage><lpage>412</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1038/nature05915</pubid><pubid idtype="pmpid" link="fulltext">17522673</pubid></pubidlist></xrefbib></bibl><bibl id="B39"><title><p>Mitochondrial-related gene expression changes are sensitive to agonal-pH state: implications for brain disorders</p></title><aug><au><snm>Vawter</snm><fnm>MP</fnm></au><au><snm>Tomita</snm><fnm>H</fnm></au><au><snm>Meng</snm><fnm>F</fnm></au><au><snm>Bostad</snm><fnm>B</fnm></au><au><snm>Li</snm><fnm>J</fnm></au><au><snm>Evans</snm><fnm>S</fnm></au><au><snm>Choudary</snm><fnm>P</fnm></au><au><snm>Atz</snm><fnm>M</fnm></au><au><snm>Shao</snm><fnm>L</fnm></au><au><snm>Neal</snm><fnm>C</fnm></au><au><snm>Walsh</snm><fnm>DM</fnm></au><au><snm>Burmeister</snm><fnm>M</fnm></au><au><snm>Speed</snm><fnm>T</fnm></au><au><snm>Myers</snm><fnm>R</fnm></au><au><snm>Jones</snm><fnm>EG</fnm></au><au><snm>Watson</snm><fnm>SJ</fnm></au><au><snm>Akil</snm><fnm>H</fnm></au><au><snm>Bunney</snm><fnm>WE</fnm></au></aug><source>Mol Psychiatry</source><pubdate>2006</pubdate><volume>11</volume><issue>7</issue><fpage>663</fpage><lpage>679</lpage><xrefbib><pubid idtype="doi">10.1038/sj.mp.4001830</pubid></xrefbib></bibl><bibl id="B40"><title><p>Effect of agonal and postmortem factors on gene expression profile: quality control in microarray analyses of postmortem human brain</p></title><aug><au><snm>Tomita</snm><fnm>H</fnm></au><au><snm>Vawter</snm><fnm>MP</fnm></au><au><snm>Walsh</snm><fnm>DM</fnm></au><au><snm>Evans</snm><fnm>SJ</fnm></au><au><snm>Choudary</snm><fnm>PV</fnm></au><au><snm>Li</snm><fnm>J</fnm></au><au><snm>Overman</snm><fnm>KM</fnm></au><au><snm>Atz</snm><fnm>ME</fnm></au><au><snm>Myers</snm><fnm>RM</fnm></au><au><snm>Jones</snm><fnm>EG</fnm></au><au><snm>Watson</snm><fnm>SJ</fnm></au><au><snm>Akil</snm><fnm>H</fnm></au><au><snm>Bunney</snm><fnm>WE</fnm></au></aug><source>Biol Psychiatry</source><pubdate>2004</pubdate><volume>55</volume><issue>4</issue><fpage>346</fpage><lpage>352</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.biopsych.2003.10.013</pubid><pubid idtype="pmcid">3098566</pubid><pubid idtype="pmpid" link="fulltext">14960286</pubid></pubidlist></xrefbib></bibl><bibl id="B41"><title><p>The effects of pH on DNA methylation state: In vitro and post-mortem brain studies</p></title><aug><au><snm>Ernst</snm><fnm>C</fnm></au><au><snm>McGowan</snm><fnm>PO</fnm></au><au><snm>Deleva</snm><fnm>V</fnm></au><au><snm>Meaney</snm><fnm>MJ</fnm></au><au><snm>Szyf</snm><fnm>M</fnm></au><au><snm>Turecki</snm><fnm>G</fnm></au></aug><source>J Neurosci Methods</source><pubdate>2008</pubdate><volume>174</volume><issue>1</issue><fpage>123</fpage><lpage>125</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.jneumeth.2008.06.027</pubid><pubid idtype="pmpid" link="fulltext">18656499</pubid></pubidlist></xrefbib></bibl><bibl id="B42"><aug><au><snm>Darst</snm><fnm>RP</fnm></au><au><snm>Pardo</snm><fnm>CE</fnm></au><au><snm>Ai</snm><fnm>L</fnm></au><au><snm>Brown</snm><fnm>KD</fnm></au><au><snm>Kladde</snm><fnm>MP</fnm></au></aug><source>Bisulfite Sequencing of DNA</source><publisher>Ausubel FM, Brent R, Kingston RE, Moore DD, Seidman JG, Smith JA, Struhl K. Hoboken, John Wiley &amp; Sons, Inc</publisher><pubdate>2001</pubdate></bibl><bibl id="B43"><title><p>Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands</p></title><aug><au><snm>Herman</snm><fnm>JG</fnm></au><au><snm>Graff</snm><fnm>JR</fnm></au><au><snm>My&#246;h&#228;nen</snm><fnm>S</fnm></au><au><snm>Nelkin</snm><fnm>BD</fnm></au><au><snm>Baylin</snm><fnm>SB</fnm></au></aug><source>Proc Natl Acad Sci</source><pubdate>1996</pubdate><volume>93</volume><issue>18</issue><fpage>9821</fpage><lpage>9826</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1073/pnas.93.18.9821</pubid><pubid idtype="pmcid">38513</pubid><pubid idtype="pmpid" link="fulltext">8790415</pubid></pubidlist></xrefbib></bibl><bibl id="B44"><title><p>Applications of CpG Island Microarrays for High-Throughput Analysis of DNA Methylation</p></title><aug><au><snm>Yan</snm><fnm>PS</fnm></au><au><snm>Chen</snm><fnm>C</fnm></au><au><snm>Shi</snm><fnm>H</fnm></au><au><snm>Rahmatpanah</snm><fnm>F</fnm></au><au><snm>Wei</snm><fnm>SH</fnm></au><au><snm>Huang</snm><fnm>TH</fnm></au></aug><source>J Nutr</source><pubdate>2002</pubdate><volume>132</volume><issue>8</issue><fpage>2430S</fpage><lpage>2434S</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">12163706</pubid></xrefbib></bibl><bibl id="B45"><title><p>Restriction Landmark Genomic Scanning (RLGS-M)-based Genome-wide Scanning of Mouse Liver Tumors for Alterations in DNA Methylation Status</p></title><aug><au><snm>Akama</snm><fnm>TO</fnm></au><au><snm>Okazaki</snm><fnm>Y</fnm></au><au><snm>Ito</snm><fnm>M</fnm></au><au><snm>Okuizumi</snm><fnm>H</fnm></au><au><snm>Konno</snm><fnm>H</fnm></au><au><snm>Muramatsu</snm><fnm>M</fnm></au><au><snm>Plass</snm><fnm>C</fnm></au><au><snm>Held</snm><fnm>WA</fnm></au><au><snm>Hayashizaki</snm><fnm>Y</fnm></au></aug><source>Cancer Res</source><pubdate>1997</pubdate><volume>57</volume><issue>15</issue><fpage>3294</fpage><lpage>3299</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">9242463</pubid></xrefbib></bibl><bibl id="B46"><title><p>Methylated DNA Immunoprecipitation (MeDIP)</p></title><aug><au><snm>Mohn</snm><fnm>F</fnm></au><au><snm>Weber</snm><fnm>M</fnm></au><au><snm>Schubeler</snm><fnm>D</fnm></au><au><snm>Roloff</snm><fnm>TC</fnm></au></aug><source>Methods Mol Biol</source><pubdate>2009</pubdate><volume>507</volume><issue>part iii</issue><fpage>55</fpage><lpage>64</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">18987806</pubid></xrefbib></bibl><bibl id="B47"><title><p>Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications</p></title><aug><au><snm>Harris</snm><fnm>RA</fnm></au><au><snm>Want</snm><fnm>T</fnm></au><au><snm>Coarfa</snm><fnm>C</fnm></au><au><snm>Nagarajan</snm><fnm>RP</fnm></au><au><snm>Hong</snm><fnm>C</fnm></au><au><snm>Downey</snm><fnm>SL</fnm></au><au><snm>Johnson</snm><fnm>BE</fnm></au><au><snm>Fouse</snm><fnm>SD</fnm></au><au><snm>Delaney</snm><fnm>A</fnm></au><au><snm>Zhao</snm><fnm>Y</fnm></au><au><snm>Olshen</snm><fnm>A</fnm></au><au><snm>Ballinger</snm><fnm>T</fnm></au><au><snm>Zhou</snm><fnm>X</fnm></au><au><snm>Forsberg</snm><fnm>KJ</fnm></au><au><snm>Gu</snm><fnm>J</fnm></au><au><snm>Echipare</snm><fnm>L</fnm></au><au><snm>O&#8217;Green</snm><fnm>H</fnm></au><au><snm>Lister</snm><fnm>R</fnm></au><au><snm>Pelizzola</snm><fnm>M</fnm></au><au><snm>Xi</snm><fnm>Y</fnm></au><au><snm>Epstein</snm><fnm>CB</fnm></au><au><snm>Bernstein</snm><fnm>BE</fnm></au><au><snm>Hawkins</snm><fnm>RD</fnm></au><au><snm>Ren</snm><fnm>B</fnm></au><au><snm>Chung</snm><fnm>WY</fnm></au><au><snm>Gu</snm><fnm>H</fnm></au><au><snm>Bock</snm><fnm>C</fnm></au><au><snm>Gnirke</snm><fnm>A</fnm></au><au><snm>Zhang</snm><fnm>MQ</fnm></au><au><snm>Haussler</snm><fnm>D</fnm></au><au><snm>Ecker</snm><fnm>JR</fnm></au><au><snm>Li</snm><fnm>W</fnm></au><au><snm>Farnham</snm><fnm>PJ</fnm></au><au><snm>Waterland</snm><fnm>RA</fnm></au><au><snm>Meissner</snm><fnm>A</fnm></au><au><snm>Marra</snm><fnm>A</fnm></au><au><snm>Hirst</snm><fnm>M</fnm></au><au><snm>Milosavljevic</snm><fnm>A</fnm></au><au><snm>Costello</snm><fnm>JF</fnm></au></aug><source>Nat Biotechnol</source><pubdate>2010</pubdate><volume>28</volume><issue>10</issue><fpage>1097</fpage><lpage>1105</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1038/nbt.1682</pubid><pubid idtype="pmcid">2955169</pubid><pubid idtype="pmpid" link="fulltext">20852635</pubid></pubidlist></xrefbib></bibl><bibl id="B48"><title><p>Blues from the neighborhood? Neighborhood characteristics and depression</p></title><aug><au><snm>Kim</snm><fnm>D</fnm></au></aug><source>Epidemiol Rev</source><pubdate>2008</pubdate><volume>30</volume><issue>1</issue><fpage>101</fpage><lpage>17</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1093/epirev/mxn009</pubid><pubid idtype="pmpid" link="fulltext">18753674</pubid></pubidlist></xrefbib></bibl><bibl id="B49"><title><p>Accounting for multiple comparisons in a genome-wide association study (GWAS)</p></title><aug><au><snm>Johnson</snm><fnm>RC</fnm></au><au><snm>Nelson</snm><fnm>GW</fnm></au><au><snm>Troyer</snm><fnm>JL</fnm></au><au><snm>Lautenberger</snm><fnm>JA</fnm></au><au><snm>Kessing</snm><fnm>BD</fnm></au><au><snm>Winkler</snm><fnm>BD</fnm></au><au><snm>Winkler</snm><fnm>CA</fnm></au><au><snm>O&#8217;Brien</snm><fnm>SJ</fnm></au></aug><source>BMC Genomics</source><pubdate>2010</pubdate><volume>11</volume><issue>1</issue><fpage>724</fpage><xrefbib><pubidlist><pubid idtype="doi">10.1186/1471-2164-11-724</pubid><pubid idtype="pmcid">3023815</pubid><pubid idtype="pmpid" link="fulltext">21176216</pubid></pubidlist></xrefbib></bibl><bibl id="B50"><title><p>Genome-wide association studies for common diseases and complex traits</p></title><aug><au><snm>Hirschhorn</snm><fnm>JN</fnm></au><au><snm>Daly</snm><fnm>MJ</fnm></au></aug><source>Nat Rev Genet</source><pubdate>2005</pubdate><volume>6</volume><issue>2</issue><fpage>95</fpage><lpage>108</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">15716906</pubid></xrefbib></bibl></refgrp>
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