Abstract
Traditionally, etiological research of schizophrenia has been focused on elucidating predisposing genes and environmental risk factors. While numerous putative environmental hazards have been suggested, inconsistencies and methodological limitations of epidemiological studies have made it difficult to identify even a single exogenous cause of schizophrenia. Furthermore, there is increasing evidence that environmental risk factors may not play as much of a significant role in schizophrenia as previously suspected. In this article, we argue that molecular epigenetic studies can overcome the complexities of traditional epidemiological studies and may become a productive line of research in understanding the nongenetic mechanisms of schizophrenia.
Keywords: schizophrenia, epidemiology, environment, epigenetics, DNA methylation
Introduction
It has been generally accepted that schizophrenia, like all other complex diseases, is caused by genetic and environmental factors. Traditionally, environmental contribution is measured by the degree of phenotypic differences in identical, or monozygotic (MZ), co-twins. Over the last 5 decades, numerous studies have been performed in order to identify specific environmental factors that would increase the risk for schizophrenia. Epidemiological studies revealed a long list of potential environmental risk factors, such as nonspecific stress, mental and physical abuse, maternal diet during pregnancy, drug use, living in an urban setting, migration, season of birth, and exposure to infections, among numerous other factors.1–5 In addition to isolated environmental risk factors, there has been an increased interest in gene-environment (G × E) interactions, which assume nonadditive relationships between disease genes and hazardous environmental factors. While major effort has been made in the attempt to identify environmental risk factors of schizophrenia, inconsistencies and methodological limitations of epidemiological studies have hampered identification of causal exogenous factors for schizophrenia. In this article, we will briefly review the complexities of epidemiological studies of schizophrenia and suggest that molecular epigenetic strategies may enable one to bypass the limitations of the traditional environmental paradigms.
Methodological complexities in environmental studies of schizophrenia
Urbanicity and cannabis use are 2 of the more recently discovered and thoroughly investigated environmental risk factors for schizophrenia. There is overwhelming evidence that these 2 factors are linked to schizophrenia. In terms of urbanicity, it has been found that the incidence of schizophrenia is higher in urbanized areas as compared with rural areas. There are currently more than 10 studies that show this association after taking into account various confounding factors, such as age, sex, ethnicity, drug use, social class, and family history, among others.6 In terms of cannabis use, a recent meta-analysis of 7 association studies consistently showed an increased risk for schizophrenia among the cannabis users.7 While these studies are of significant interest and intuitively consistent with our general understanding of the origin of schizophrenia (urban living is more stressful than rural and active substances from cannabis may lead to neurochemical imbalances in the brain8), there are numerous complexities in the interpretation of the results of such epidemiological studies. First of all, it is very difficult to establish cause-effect relations between a putative environmental risk factor and the disease. Although exposure to environmental risk factors exhibits a strong association with the incidence of schizophrenia, the association is by no means a proof of causality. For example, the association between cannabis use and schizophrenia may be a result of self-medication to dull the already present psychotic symptoms, rather than a trigger for schizophrenia.4 Furthermore, there is evidence that various environmental risk factors actually can be influenced by genetic factors.9–13 For example, a 3372 twin pair–based study revealed that the concordance rate for cannabis use was 22.3% for MZ twins and 14.5% for dizygotic (DZ) twins (P < .05) (26.2% and 16.5%, respectively, for illicit drugs in general, P < .01), which indicates an inherited predisposition to illicit drug use.10 There are studies that also suggest that an individual who has an inherited risk for psychosis is more likely to use cannabis and also more likely to develop psychotic experiences when exposed to cannabis.11–13
In urbanicity studies, selective migration, where individuals with some specific (partially genetically determined) behavioral traits have tendencies to place themselves in hazardous environmental situations (in this case—large cities), can be one of the reasons behind its association with schizophrenia.14 A recent study revealed that at least some of the urban-rural differences in schizophrenia risk were more likely to be of genetic, rather than environmental, origin.15 Briefly, the authors looked at the association between the nearest older sibling's birthplace and the individual's risk for schizophrenia. If the nearest older sibling's birthplace has no effect on the individual's risk for schizophrenia, then urban-rural differences would be linked to the individual's own urban residence. However, if the nearest older sibling's birthplace has an independent effect, then some of the urban-rural differences would be linked to the family's urban residence prior to the individual's conception. In fact, the nearest older sibling's place of birth was independently associated with the risk for schizophrenia, even after taking into account for the individual's birthplace. Furthermore, the individual's place of birth (and upbringing) and the nearest older sibling's place of birth were virtually interchangeable in terms of schizophrenia risk, which suggests that some families may have a genetic liability that is related to the family's migration toward the city. This study showed that even if exposure to urban risk factors precedes the onset of schizophrenia, it may not play a causal role.
Twin studies revealed some further complexities in environment and genetic contributes to the choice of residential location.16,17 The Australian twin study found significant effects of both shared environment and genes, where shared environment accounted for 50% of the variation in the youngest group but only about 10% in the oldest.16,17 Interestingly, as contribution from shared environment decreased with age, genetic effects increased. The findings suggested that shared environment plays a more critical role for residential area selection among young individuals, while genes play a greater role in older individuals. However, a similar study conducted using data from The Netherlands twin register did not replicate the Australian findings. The study using Dutch twins found that there was no genetic contribution in selection for place of living in younger or older individuals but rather was entirely due to shared and nonshared environmental factors; the contribution from shared environment was greater among younger individuals, while nonshared environment played a greater role for older individuals.17 The different outcomes from these 2 studies are thought to be due to the population characteristics of Australia, where there are less than 3 residents per square kilometer, as compared with The Netherlands, where there are more than 480 residents per square kilometer.17 While it is relatively easy to move from one setting to another in Australia, this is not the case in The Netherlands. The different conclusions of the 2 studies once again illustrate the significant difficulties involved in isolating genetic and environment contribution.
More recently, there has been increasing interest in G × E interactions, and several interactions have been identified so far. For example, Caspi et al18 found that a functional polymorphism in the catechol-O-methyltransferase gene moderated the influence of adolescent cannabis use on developing schizophrenia. Nicodemus et al19 found significant G × E interactions between serious obstetric complications and polymorphisms in genes regulated by hypoxia or involved in the vascular function in the brain (Protein kinase B (AKT1), brain-derived neurotrophic factor (BDNF), dystrobrevin binding protein 1 (DTNBP1), and glutamate receptor - metabotropic 3 (GRM3)) for increased risk for schizophrenia. Other studies have found interactions between “familial liability” (rather than specific genes) and environmental risk factor. For example, van Os et al20 found that there is a synergistic interaction between urbanicity and familial liability, where the effect of urbanicity was much larger for individuals with evidence of familial liability to schizophrenia as compared with those without. Although these G × E interaction findings are of significant interest, such data still need to be replicated. More importantly, the autonomy of environmental effects from genetics in the G × E studies, thus far, has not been proven. Therefore, it is difficult to draw any solid conclusions from these findings yet.
The role of environment becomes even more controversial in the light of some adoption and twin studies that do not reveal any evidence of environmental contributions to schizophrenia. For example, a study comparing a Finnish population of adopted children whose mothers had schizophrenia spectrum disorder with adoptees without genetic predisposition found that communication deviance in adoptive parents (ie, hostile family environment) does not increase the risk for schizophrenia unless the adoptee has a high genetic risk for schizophrenia.21,22 Another study looked at the morbid risk for schizophrenia in the offspring of identical and nonidentical twins who were discordant for schizophrenia.23 The risk for schizophrenia-like psychosis in the offspring of MZ twin was 16.8% for the affected twin and 17.4% for the normal co-twin, while the risk for DZ twin offspring was 17.4% and 2.1%, respectively, which suggests that genetic predisposition, rather than environmental influences, may play the critical role in schizophrenia. The latter observations are consistent with twin studies of normal (including behavioral) traits in twins, which compared phenotypic differences in MZ twins who were reared together (MZT) with MZ twins who were reared apart (MZA).24,25 Our current assumption of the effects of the environment on the phenotypic outcome dictates that MZA should be much more different than MZT due to the fact that they are raised in different environments. However, the test results revealed paradoxical findings. If the intraclass correlation (R) between MZA (RMZA) and MZT (RMZT) are expressed as a ratio (RMZA/RMZT), out of 22 measurements for which the RMZA/RMZT ratio was reported, 15 measurements had values over 0.9.24,25 The 15 measurements include various scales of Multidimensional Personality Questionnaire, Raven Mill-Hill IQ Test, California Psychological Inventory, social attitudes on religious and nonreligious scales, electroencephalographic patterns, systolic blood pressure, heart rate, electrodermal response amplitude, and performance scale on the Wechsler Adult Intelligence Scale-IQ. The same “anomaly” was also detected in other MZ twin studies. For example, data gathered using the Swedish Twin Registry showed that for migraine susceptibility in female twins, the RMZA/RMZT ratio was 1.26.26 Another study using the same twin registry showed that tobacco smoking in both males and females had a RMZA/RMZT of approximately 1.27 The high RMZA/RMZT ratio suggests that environmental effects might not play as big of a role as previously suspected. Additional doubts about the role of environment on the phenotypic outcomes have also been found in animal studies. Inbred animals containing minimal genetic variation and cloned animals that technically should be genetically identical showed considerable phenotypic difference, even in the absence of detectable environmental variation.28–31
All the above-discussed complexities warrant a reevaluation of the environmental contribution to the etiopathogenesis of schizophrenia. Although the role of environmental factors in schizophrenia cannot be excluded, in the absence of good animal models of schizophrenia and in-depth knowledge of the degree of impact of gene-environmental correlation (whereby the genotype of an individual influences the exposure to specific environmental factors), it is nearly impossible to fully prove a causal association between a specific environmental hazard and risk for schizophrenia. We suggest that epigenetic studies of schizophrenia may shed a new light on our understanding of the putative environmental effects. The epigenetic paradigm of schizophrenia can shed a new light on the numerous yet unexplained findings in environmental studies of schizophrenia and estimate the putative environmental contributions in an empirically measurable manner, allowing the integration of inherited and acquired risk factors into a new theoretical framework.
A Primer to Epigenetics
Epigenetics by definition refers to the regulation of various genomic functions, including gene expression, which are not based on DNA sequence but rather controlled by heritable and potentially reversible chemical modifications of DNA and/or the chromatin structure.32,33
DNA methylation
DNA methylation is a covalent modification of the DNA, and therefore, it is a relatively stable epigenetic mark. Cytosine methylation occurs at the 5’ position of the pyrimidine ring and is catalyzed by several types of DNA methyltransferases (DNMTs). There are several DNMTs in the methyltransferase family, including DNMT1, DNMT3a, and DNMT3b. DNMT1 is thought to be the main enzyme responsible for the maintenance of DNA methylation. Several studies have shown that DNMT1 methylates hemimethylated DNA more rapidly than unmethylated DNA.34,35 Therefore, despite the fact that DNMT1 have de novo methyltransferase activity,36 it is believed that DNMT1 allows methylation profiles to be inherited from mother to daughter cell.37 DNMTs require a methyl donor, S-adenosylmethionine (SAM), as a cofactor for cytosine methylation. SAM is a product of methionine metabolism, which involves multiple enzymes (betaine-homocysteine methyltransferase, methionine synthase, and methionine adenosyltransferase) and cofactors (vitamin B12, betaine, folate, and homocysteine).38 Cytosines in the CpG dinucleotide are the preferred, but not the exclusive, targets for DNA methylation.39 Not all the CpG dinucleotides are methylated, but there is a cell-specific pattern of distribution of methylated CpG dinucleotides.40 Most of the methylation occurs outside of the CpG islands, which are regions of high GC content (>55%) that colocalize with approximately 60% of all promoters.41 Methylation of CpG islands is associated with gene regulation because the density of DNA methylation at such islands is often inversely proportional to the transcriptional activity of the gene.42,43 DNA methylation patterns, like DNA sequences, are transmitted from maternal chromatids to daughter chromatids during mitosis, and this is called the epigenetic inheritance system.44 In comparison to DNA sequences, the degree of mitotic fidelity of epigenetic patterns is approximately 3 orders of magnitude lower (10−6 and 10−3 for DNA sequences and DNA modification, respectively).45 Such epigenetic metastability may result in significant epigenetic differences accumulated over time across the cells, despite their DNA sequence identity. It was commonly accepted that epigenetic patterns are erased in the early stages of germline cell development and that new patterns emerged after maturation.37 However, there is increasing experimental evidence that some epigenetic signals do survive gametogenesis and that this information can be passed on from one generation to the next.46–49 Therefore, epigenetic modifications are not only partially stable during mitosis but can also be transmitted transgenerationally via germline cells.
Chromatin modification
Histones are nuclear proteins, which are the basic building units of nucleosomes. A nucleosome consists of 147 base pairs of DNA wrapped around a protein octamer, made of pairs of 4 core histones, H2A, H2B, H3, and H4.50,51 Each histone has a “tail” protruding out of the nucleosome, which can be modified in numerous ways: phosphorylated, ubiquitinated, sumoylated, acetylated, and methylated.52 Histone methylation and acetylation at lysine residues on the histone tail have been the most thoroughly explored subtypes of histone modifications. Histone H3 dimethylation at lysine (K) 9 and trimethylation at K27 has been linked to the formation of transcriptionally inactive, condensed chromatin known as heterochromatin.53 On the other hand, histone H3 and H4 acetylations on lysine residues and trimethylation of K4 (lysine) on H3 are generally associated with active gene transcription.54,55 It has been proposed that histone acetylation modifies the chromatin structure in such a way that allows more open access thus allowing the binding of transcriptional complexes.56
Relationship Between DNA Methylation and Chromatin Modification
The mechanisms by which DNA methylation affects the regulation of gene activity are thought to be mediated in 2 ways. Firstly, methylated cytosines in transcription factor–binding sites change the affinity of DNA for the transcription factor, which in turn alters the transcriptional activity of a gene.57,58 For example, DNA methylation at the promoter region of BRCA1 exerts a suppressive effect on BRCA1 expression by inhibiting cAMP response element-binding protein from binding to the promoter region.59 Secondly, methylated cytosines attract methyl-CpG–binding protein, which recruit chromatin-remodeling proteins (ie, histone deacetylase [HDAC] complex and SWI-SNF proteins) to deacetylate the histones, resulting in transcriptional silencing.60–65 Aberrant epigenetic regulation (epimutations) could have the same effect as DNA mutations because an epimutation could lead to the abnormal expression of a gene by enhancing or silencing that gene. Precise timing, location, and level of gene expression are crucial for normal cell function.
Epigenetic Insights on the Environmental Studies of Schizophrenia
Epigenetics may shed a new light on environmental studies of schizophrenia, and there are 2 aspects of epigenetics relevant to understanding of the nongenetic causes of this disease. Firstly, there is increasing experimental evidence that environmental agents alter the epigenetic status of specific genes and genomes. Therefore, epigenetic approaches can, in principle, empirically measure the effect of environment on a molecular level. The second aspect is related to the fundamental aspects of the environmental paradigm in schizophrenia. Epigenetics challenges one of the dogmas of current human morbid biology that discordance of identical twins is an indicator of environmental contribution to a disease.
Environmental Effects on Epigenetic Regulation
There is a growing body of evidence which suggests that DNA methylation may be modified by numerous environmental factors such as diet, drugs, and hormones and that epigenetic regulation of genes is a much more dynamic process than previously believed. Here are some examples of environmental factors, which may lead to changes in DNA methylation.
Diet
An example of diet affecting the phenotypic outcome is demonstrated by murine genes Agouti (Avy) and Axin (AxinFu). The Agouti gene encodes a signaling peptide, which causes the melanocytes within hair follicles to change color from a spectrum of dark-brown-yellow.67 The Avy allele results from an intracisternal A particle (IAP) insertion upstream of the transcription starting site.67,68 A cryptic promoter regulates the expression of the Agouti gene, which inversely correlates with CpG dinucleotide methylation of the Avy IAP. Therefore, if the Avy IAP is heavily methylated, the expression of the Agouti gene is turned off, leading to a dark fur color.69 The Axin gene codes for the axin protein, which is involved in the mammalian embryonic axis formation.70 AxinFu contains an IAP insertion in the intron 6 of the gene.71 This causes the expression of a truncated Axin gene, which originates from the IAP insert, as well as the expression of the wild type gene, which results in a double dose of Axin during development.72 This results in varying degrees of kinks in the tail of AxinFu mice. High methylation of the AxinFu IAP causes the suppression of the variant Axin expression, leading to a normal phenotype.73 Using Avy and AxinFu mouse models, studies have shown that an increased intake of maternal dietary methyl supplements during pregnancy, such as folic acid, vitamin B12, and betaine, which increase DNA methylation, can result in different phenotypic outcomes. For example, increased maternal dietary methyl supplements caused the offspring to have dark fur in Avy models.68,74 Similar results were demonstrated in AxinFu models, where maternal dietary methyl supplements during pregnancy led to nonkinked tail offspring.75 Studies have also shown that the intake of folic acid affects both the global methylation level in the genome and the regulation of imprinted genes, such as Igf2, which have been implicated in a number of human cancers.76–79 There is also evidence that maternal exposure to famine during pregnancy could increase the risk for schizophrenia in the progeny: children conceived at the height of the Dutch Hunger Winter had 2-fold increase in risk for schizophrenia.66 The increased risk for schizophrenia may be the result of epigenetic misregulation of genes triggered by malnutrition.
Drugs
Methamphetamine, which is known to cause schizophrenia-like phenotype with prolonged use, alters the expressional level of DNMT1.80 In this connection, it is interesting to note that aberrant DNMT1 expression was also observed in the GABA (gamma-aminobutyric acid)-ergic interneurons of postmortem brain tissues of schizophrenia patients.81 A recent study showed that histone acetylation is induced in the nucleus accumbens in response to acute and chronic cocaine administration.82 The increase in histone acetylation was mediated by decreased HDAC function (more specifically, HDAC5). Interestingly, decreased HDAC5 function in the nucleus accumbens was also observed in chronic social defeat stress, an animal model for depression, suggesting that similar mechanisms may play a role in schizophrenia. Lastly, valproate, an anticonvulsant and mood stabilizer, is known to inhibit HDACs in vivo and in vitro.83,84 Valproate is known to attenuate schizophrenia-like behavioral abnormalities in animal models.85
Stress
One of the first in vivo evidence of the impact of stress on epigenetic patterns came from animal studies. For example, it was recently discovered that exposure to nurturing behaviors (or the lack there of) alone could alter the epigenetic pattern. Pup licking, grooming, and arched-back nursing by mother rats induced histone modifications and changes in DNA methylation at the glucocorticoid receptor gene promoter in the hippocampus of the pups.86 A recent animal study using contextual fear conditioning showed an increased transcription and demethylation of the reelin gene, 1 hour following fear conditioning.87 The DNA methylation changes in this experiment may be caused by long-term potentiation–based learning, as well as a reaction to the stressful environment.
The value of studying environmental effects in epigenetics lies in the possibility of better understanding environmental risk factors and eliminating some of the confounding factors associated with epidemiological studies. The epigenetic approach to identifying the molecular effects of environmental factors might be a more productive line of research than direct, but methodologically limited, epidemiological studies. For example, it is relatively easy to identify epigenetic effects of cannabis on the brain using experimental animals or even humans by using postmortem brains or live cells such as peripheral blood, buccal epithelial cells, or neuronal cell lines. It is also feasible to perform an epigenetic comparison of individuals living in urban and rural places. Therefore, using epigenetics, it is possible to measure the true impact of the environment on an individual. Rather than focusing on whether the observed environmental risk factor is real, the question then becomes whether if and how the detected epigenetic changes in the unaffected individuals exposed to the putative risk factor, such as cannabis and urban life style, will be consistent with the epigenetic changes detected in schizophrenia patients compared with controls.88
Is Environment Really Important in Schizophrenia?
The epigenetic theory also challenges the idea that MZ twin discordance is an indicator of environmental effects. As previously mentioned, in comparison to DNA replication epigenetic patterns exhibit a substantially lower degree of stability, which to a large extent is stochastic rather than induced by specific environmental effects. This is well illustrated in the epigenetic studies of inbred animals.47 Therefore, it is entirely possible that a substantial degree of stochastic epigenetic variation can be accumulated in MZ co-twins, and the resulting diverse phenotypic outcomes will be falsely interpreted as environmental contribution.
The idea of stochastic epigenetic change may explain some of the paradoxical findings in the MZA and MZT studies. Under the epigenetic theory, the finding that the differences between MZT and MZA are minimal for a large number of traits suggest that stochastic epigenetic changes may be a more important cause of phenotypic differences than environmental effects. It is possible that MZ twins are different for some traits not because they are exposed to differential environmental factors but rather because those traits are determined by metastable epigenetic regulation. The dogma that the nongenetic factors are environmental factors requires reevaluation.
Environmental Epigenetics of Schizophrenia: The Big Picture
Although the focus of this article has been on the epigenetic perspective of environmental risk factor, environmental epigenetics should not be analyzed separately from the other epigenetic aspects of schizophrenia. Epigenetics not only provides new insights for environmental studies, but epigenetic changes can also serve as a common etiopathological denominator for various epidemiological, clinical, and molecular findings of schizophrenia. Epigenetic mechanisms are consistent with the non-Mendelian mode of inheritance, as well as the presence of sporadic and familial cases of schizophrenia, sexual dimorphism, parental origin effect, late disease onset and coincidence with major hormonal changes in the organism, and fluctuating course of psychotic symptoms.89–91 The epigenetic model of schizophrenia can be thought of as a result of a chain of deviant epigenetic events, which begins with a preepimutation (an epigenetic change that takes place during gametogenesis or embryogenesis). A preepimutation increases the risk for schizophrenia, but it is not sufficient to cause the disease. The phenotypic outcome, ie, presence or absence of the disease, is dependent on the overall effect of a series of pre- and postnatal factors on the preepimutation. The epigenetic pattern is altered over time by the external environmental factors, stochastic events, and hormones, further increasing or decreasing the degree of the epigenetic misregulation. It may take decades for the epigenetic misregulation to reach a critical mass, beyond which the cell (or the tissue) is no longer functionally normal. Only a fraction of the predisposed individuals may reach the threshold of epigenetic misregulation that results in clinical symptoms of disease. The severity of epigenetic misregulation may fluctuate over time, which could lead to remission and relapse. In some cases, epimutations may slowly start regressing back to the normal state, which is seen as partial recovery.92
Until recently it was feasible to test only small genetic loci or limited regions and numbers of genes for epigenetic changes in disease. Today, technologies for high throughput, microarray-based epigenomic profiling, as well as reliable techniques have been developed, and such include both DNA methylation and histone modification studies.93–95 It is even possible to perform a nonbiased epigenome-wide scan, which in the absence of good understanding of candidate loci, should be the ultimate goal of epigenomic studies of schizophrenia and other psychiatric and nonpsychiatric diseases. Fine mapping techniques, such as bisulfite modification coupled with various types of sequencing, allow us to look at specific genes with great resolutions. Therefore, we now have the experimental tools to test and characterize the extent to which epigenetic factors may change the traditional dyad of genes and environment.96
In epigenetic and epigenomic studies, there are some important confounding factors that must be considered when designing experiments or analyzing the data. Epigenotypes, unlike DNA sequences, are specific to various cell and tissue types. Therefore, tissues from the primary site of disease manifestations are needed for epigenetic analysis; in the case of psychiatric disorders, such tissue is the brain. Because the brain is made up of many different types of cells (various types of glial and neuronal cells) that may have differential epigenetic regulation, it is ideal to isolate specific cells from specific areas of the brain (ie, dopamine neurons from ventral tegmental area) using laser capture microdissection or flow cytometry. Furthermore, there is a need to identify common epigenetic markers between the affected tissue (ie, brain) and peripheral tissues (ie, peripheral lymphocyte) if it is to be used a diagnostics tool.
If epigenetic changes causal to schizophrenia are identified, the origin of such epimutations will not be immediately evident. Additional studies of germline and tissues not directly affected by the disease in both affected individuals and controls may help to differentiate inherited and acquired epimutations. The next task may be to differentiate between epigenetic changes induced by stochastic processes in the epigenetic machinery from the ones induced by some specific environmental effects. Based on the twin and inbred animal studies as well as the general feature of epigenetic metastability, our prediction is that the former will significantly outweigh the latter.
Funding
Canadian Institutes for Health and Research; National Alliance for Research on Schizophrenia and Depression.
Acknowledgments
Development of some environmental epigenomics ideas described in the study was funded by the National Institute of Mental Health (R01 MH074127). Petronis is a Senior Fellow of the Ontario Mental Health Foundation.
References
- 1.Phillips LJ, Francey SM, Edwards J, McMurray N. Stress and psychosis: towards the development of new models of investigation. Clin Psychol Rev. 2007;27:307–317. doi: 10.1016/j.cpr.2006.10.003. [DOI] [PubMed] [Google Scholar]
- 2.Morgan C, Fisher H. Environment and schizophrenia: environmental factors in schizophrenia: childhood trauma–a critical review. Schizophr Bull. 2007;33:3–10. doi: 10.1093/schbul/sbl053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.van Os J, Krabbendam L, Myin-Germeys I, Delespaul P. The schizophrenia envirome. Curr Opin Psychiatry. 2005;18:141–145. doi: 10.1097/00001504-200503000-00006. [DOI] [PubMed] [Google Scholar]
- 4.Austin J. Schizophrenia: an update and review. J Genet Counsel. 2005;14:329–340. doi: 10.1007/s10897-005-1622-4. [DOI] [PubMed] [Google Scholar]
- 5.Tochigi M, Okazaki Y, Kato N, Sasaki T. What causes seasonality of birth in schizophrenia? Neurosci Res. 2004;48:1–11. doi: 10.1016/j.neures.2003.09.002. [DOI] [PubMed] [Google Scholar]
- 6.Krabbendam L, van Os J. Schizophrenia and urbanicity: a major environmental influence–conditional on genetic risk. Schizophr Bull. 2005;31:795–799. doi: 10.1093/schbul/sbi060. [DOI] [PubMed] [Google Scholar]
- 7.Henquet C, Murray R, Linszen D, van Os J. The environment and schizophrenia: the role of cannabis use. Schizophr Bull. 2005;31:608–612. doi: 10.1093/schbul/sbi027. [DOI] [PubMed] [Google Scholar]
- 8.Leweke FM, Gerth CW, Klosterkotter J. Cannabis-associated psychosis: current status of research. CNS Drugs. 2004;18:895–910. doi: 10.2165/00023210-200418130-00005. [DOI] [PubMed] [Google Scholar]
- 9.Kendler KS, Karkowski LM, Prescott CA. The assessment of dependence in the study of stressful life events: validation using a twin design. Psychol Med. 1999;29:1455–1460. doi: 10.1017/s0033291798008198. [DOI] [PubMed] [Google Scholar]
- 10.Tsuang MT, Lyons MJ, Eisen SA, et al. Genetic influences on DSM-III-R drug abuse and dependence: a study of 3,372 twin pairs. Am J Med Genet. 1996;67:473–477. doi: 10.1002/(SICI)1096-8628(19960920)67:5<473::AID-AJMG6>3.0.CO;2-L. [DOI] [PubMed] [Google Scholar]
- 11.Ferdinand RF, Sondeijker F, van der Ende J, Selten JP, Huizink A, Verhulst FC. Cannabis use predicts future psychotic symptoms, and vice versa. Addiction. 2005;100:612–618. doi: 10.1111/j.1360-0443.2005.01070.x. [DOI] [PubMed] [Google Scholar]
- 12.Henquet C, Krabbendam L, Spauwen J, et al. Prospective cohort study of cannabis use, predisposition for psychosis, and psychotic symptoms in young people. BMJ. 2005;330:11. doi: 10.1136/bmj.38267.664086.63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Verdoux H, Gindre C, Sorbara F, Tournier M, Swendsen JD. Effects of cannabis and psychosis vulnerability in daily life: an experience sampling test study. Psychol Med. 2003;33:23–32. doi: 10.1017/s0033291702006384. [DOI] [PubMed] [Google Scholar]
- 14.Freeman H. Schizophrenia and city residence. Br J Psychiatry Suppl. 1994;(23):39–50. [PubMed] [Google Scholar]
- 15.Pedersen CB, Mortensen PB. Are the cause(s) responsible for urban-rural differences in schizophrenia risk rooted in families or in individuals? Am J Epidemiol. 2006;163:971–978. doi: 10.1093/aje/kwj169. [DOI] [PubMed] [Google Scholar]
- 16.Whitfield JB, Zhu G, Heath AC, Martin NG. Choice of residential location: chance, family influences, or genes? Twin Res Hum Genet. 2005;8:22–26. doi: 10.1375/1832427053435391. [DOI] [PubMed] [Google Scholar]
- 17.Willemsen G, Posthuma D, Boomsma DI. Environmental factors determine where the Dutch live: results from the Netherlands twin register. Twin Res Hum Genet. 2005;8:312–317. doi: 10.1375/1832427054936655. [DOI] [PubMed] [Google Scholar]
- 18.Caspi A, Moffitt TE, Cannon M, et al. Moderation of the effect of adolescent-onset cannabis use on adult psychosis by a functional polymorphism in the catechol-O-methyltransferase gene: longitudinal evidence of a gene X environment interaction. Biol Psychiatry. 2005;57:1117–1127. doi: 10.1016/j.biopsych.2005.01.026. [DOI] [PubMed] [Google Scholar]
- 19.Nicodemus KK, Marenco S, Batten AJ, et al. Serious obstetric complications interact with hypoxia-regulated/vascular-expression genes to influence schizophrenia risk. Mol Psychiatry. 2008 doi: 10.1038/sj.mp.4002153. 10.1038/sj.mp.4002153, online publication, January 15, 2008. [DOI] [PubMed] [Google Scholar]
- 20.van Os J, Hanssen M, Bak M, Bijl RV, Vollebergh W. Do urbanicity and familial liability coparticipate in causing psychosis? Am J Psychiatry. 2003;160:477–482. doi: 10.1176/appi.ajp.160.3.477. [DOI] [PubMed] [Google Scholar]
- 21.Tienari P, Wynne LC, Sorri A, et al. Genotype-environment interaction in schizophrenia-spectrum disorder. Long-term follow-up study of Finnish adoptees. Br J Psychiatry. 2004;184:216–222. doi: 10.1192/bjp.184.3.216. [DOI] [PubMed] [Google Scholar]
- 22.Wahlberg KE, Wynne LC, Hakko H, et al. Interaction of genetic risk and adoptive parent communication deviance: longitudinal prediction of adoptee psychiatric disorders. Psychol Med. 2004;34:1531–1541. doi: 10.1017/s0033291704002661. [DOI] [PubMed] [Google Scholar]
- 23.Gottesman II, Bertelsen A. Confirming unexpressed genotypes for schizophrenia. Risks in the offspring of Fischer's Danish identical and fraternal discordant twins. Arch Gen Psychiatry. 1989;46:867–872. doi: 10.1001/archpsyc.1989.01810100009002. [DOI] [PubMed] [Google Scholar]
- 24.Bouchard TJ, Jr, Lykken DT, McGue M, Segal NL, Tellegen A. Sources of human psychological differences: the Minnesota Study of Twins Reared Apart. Science. 1990;250:223–228. doi: 10.1126/science.2218526. [DOI] [PubMed] [Google Scholar]
- 25.Bouchard TJ, Jr, McGue M. Genetic and environmental influences on human psychological differences. J Neurobiol. 2003;54:4–45. doi: 10.1002/neu.10160. [DOI] [PubMed] [Google Scholar]
- 26.Svensson DA, Larsson B, Waldenlind E, Pedersen NL. Shared rearing environment in migraine: results from twins reared apart and twins reared together. Headache. 2003;43:235–244. doi: 10.1046/j.1526-4610.2003.03047.x. [DOI] [PubMed] [Google Scholar]
- 27.Kendler KS, Thornton LM, Pedersen NL. Tobacco consumption in Swedish twins reared apart and reared together. Arch Gen Psychiatry. 2000;57:886–892. doi: 10.1001/archpsyc.57.9.886. [DOI] [PubMed] [Google Scholar]
- 28.Gartner K, Baunack E. Is the similarity of monozygotic twins due to genetic factors alone? Nature. 1981;292:646–647. doi: 10.1038/292646a0. [DOI] [PubMed] [Google Scholar]
- 29.Edwards JL, Schrick FN, McCracken MD, et al. Cloning adult farm animals: a review of the possibilities and problems associated with somatic cell nuclear transfer. Am J Reprod Immunol. 2003;50:113–123. doi: 10.1034/j.1600-0897.2003.00064.x. [DOI] [PubMed] [Google Scholar]
- 30.Rhind SM, King TJ, Harkness LM, et al. Cloned lambs–lessons from pathology. Nat Biotechnol. 2003;21:744–745. doi: 10.1038/nbt0703-744. [DOI] [PubMed] [Google Scholar]
- 31.Yanagimachi R. Cloning: experience from the mouse and other animals. Mol Cell Endocrinol. 2002;187:241–248. doi: 10.1016/s0303-7207(01)00697-9. [DOI] [PubMed] [Google Scholar]
- 32.Robertson KD. DNA methylation and chromatin—unraveling the tangled web. Oncogene. 2002;21:5361–5379. doi: 10.1038/sj.onc.1205609. [DOI] [PubMed] [Google Scholar]
- 33.Geiman TM, Robertson KD. Chromatin remodeling, histone modifications, and DNA methylation-how does it all fit together? J Cell Biochem. 2002;87:117–125. doi: 10.1002/jcb.10286. [DOI] [PubMed] [Google Scholar]
- 34.Stein R, Gruenbaum Y, Pollack Y, Razin A, Cedar H. Clonal inheritance of the pattern of DNA methylation in mouse cells. Proc Natl Acad Sci USA. 1982;79:61–65. doi: 10.1073/pnas.79.1.61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Yoder JA, Soman NS, Verdine GL, Bestor TH. DNA (cytosine-5)-methyltransferases in mouse cells and tissues. Studies with a mechanism-based probe. J Mol Biol. 1997;270:385–395. doi: 10.1006/jmbi.1997.1125. [DOI] [PubMed] [Google Scholar]
- 36.Bestor T, Laudano A, Mattaliano R, Ingram V. Cloning and sequencing of a cDNA encoding DNA methyltransferase of mouse cells. The carboxyl-terminal domain of the mammalian enzymes is related to bacterial restriction methyltransferases. J Mol Biol. 1988;203:971–983. doi: 10.1016/0022-2836(88)90122-2. [DOI] [PubMed] [Google Scholar]
- 37.Li E. Chromatin modification and epigenetic reprogramming in mammalian development. Nat Rev. 2002;3:662–673. doi: 10.1038/nrg887. [DOI] [PubMed] [Google Scholar]
- 38.Smith AD, Kim YI, Refsum H. Is folic acid good for everyone? Am J Clin Nutr. 2008;87:517–533. doi: 10.1093/ajcn/87.3.517. [DOI] [PubMed] [Google Scholar]
- 39.Bird A. DNA methylation patterns and epigenetic memory. Genes Dev. 2002;16:6–21. doi: 10.1101/gad.947102. [DOI] [PubMed] [Google Scholar]
- 40.Razin A, Szyf M. DNA methylation patterns. Formation and function. Biochim Biophys Acta. 1984;782:331–342. doi: 10.1016/0167-4781(84)90043-5. [DOI] [PubMed] [Google Scholar]
- 41.Antequera F. Structure, function and evolution of CpG island promoters. Cell Mol Life Sci. 2003;60:1647–1658. doi: 10.1007/s00018-003-3088-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Yeivin A, Razin A. Gene methylation patterns and expression. EXS. 1993;64:523–568. doi: 10.1007/978-3-0348-9118-9_24. [DOI] [PubMed] [Google Scholar]
- 43.Holliday R, Ho T, Paulin R. Gene silencing in mammalian cells. In: Russo RMV, Riggs A, editors. Epigenetic Mechanisms of Gene Regulation. New York: Cold Spring Harbor Laboratory Press; 1996. pp. 47–59. [Google Scholar]
- 44.Maynard Smith J. Models of a dual inheritance system. J Theor Biol. 1990;143:41–53. doi: 10.1016/s0022-5193(05)80287-5. [DOI] [PubMed] [Google Scholar]
- 45.Riggs AD, Xiong Z, Wang L, LeBon JM. Methylation dynamics, epigenetic fidelity and X chromosome structure. Novartis Found Symp. 1998;214:214–225. doi: 10.1002/9780470515501.ch13. discussion 225–232. [DOI] [PubMed] [Google Scholar]
- 46.Rakyan V, Whitelaw E. Transgenerational epigenetic inheritance. Curr Biol. 2003;13:R6. doi: 10.1016/s0960-9822(02)01377-5. [DOI] [PubMed] [Google Scholar]
- 47.Rakyan VK, Blewitt ME, Druker R, Preis JI, Whitelaw E. Metastable epialleles in mammals. Trends Genet. 2002;18:348–351. doi: 10.1016/s0168-9525(02)02709-9. [DOI] [PubMed] [Google Scholar]
- 48.Rakyan VK, Preis J, Morgan HD, Whitelaw E. The marks, mechanisms and memory of epigenetic states in mammals. Biochem J. 2001;356(pt 1):1–10. doi: 10.1042/0264-6021:3560001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Richards EJ. Inherited epigenetic variation–revisiting soft inheritance. Nat Rev. 2006;7:395–401. doi: 10.1038/nrg1834. [DOI] [PubMed] [Google Scholar]
- 50.Kornberg RD. Chromatin structure: a repeating unit of histones and DNA. Science. 1974;184:868–871. doi: 10.1126/science.184.4139.868. [DOI] [PubMed] [Google Scholar]
- 51.Kornberg RD, Lorch Y. Twenty-five years of the nucleosome, fundamental particle of the eukaryote chromosome. Cell. 1999;98:285–294. doi: 10.1016/s0092-8674(00)81958-3. [DOI] [PubMed] [Google Scholar]
- 52.Vaquero A, Loyola A, Reinberg D. The constantly changing face of chromatin. Sci Aging Knowledge Environ. 2003;(14):RE4. doi: 10.1126/sageke.2003.14.re4. [DOI] [PubMed] [Google Scholar]
- 53.Kondo Y, Shen L, Cheng AS, et al. Gene silencing in cancer by histone H3 lysine 27 trimethylation independent of promoter DNA methylation. Nat Genet. 2008;40:741–750. doi: 10.1038/ng.159. [DOI] [PubMed] [Google Scholar]
- 54.Grunstein M. Histone acetylation in chromatin structure and transcription. Nature. 1997;389:349–352. doi: 10.1038/38664. [DOI] [PubMed] [Google Scholar]
- 55.Santos-Rosa H, Schneider R, Bannister AJ, et al. Active genes are tri-methylated at K4 of histone H3. Nature. 2002;419:407–411. doi: 10.1038/nature01080. [DOI] [PubMed] [Google Scholar]
- 56.Shahbazian MD, Grunstein M. Functions of site-specific histone acetylation and deacetylation. Annu Rev Biochem. 2007;76:75–100. doi: 10.1146/annurev.biochem.76.052705.162114. [DOI] [PubMed] [Google Scholar]
- 57.Ehrlich M, Ehrlich KC. Effect of DNA methylation on the binding of vertebrate and plant proteins to DNA. EXS. 1993;64:145–168. doi: 10.1007/978-3-0348-9118-9_7. [DOI] [PubMed] [Google Scholar]
- 58.Tate PH, Bird AP. Effects of DNA methylation on DNA-binding proteins and gene expression. Curr Opin Genet Dev. 1993;3:226–231. doi: 10.1016/0959-437x(93)90027-m. [DOI] [PubMed] [Google Scholar]
- 59.DiNardo DN, Butcher DT, Robinson DP, Archer TK, Rodenhiser DI. Functional analysis of CpG methylation in the BRCA1 promoter region. Oncogene. 2001;20:5331–5340. doi: 10.1038/sj.onc.1204697. [DOI] [PubMed] [Google Scholar]
- 60.Comb M, Goodman HM. CpG methylation inhibits proenkephalin gene expression and binding of the transcription factor AP-2. Nucleic Acids Res. 1990;18:3975–3982. doi: 10.1093/nar/18.13.3975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Inamdar NM, Ehrlich KC, Ehrlich M. CpG methylation inhibits binding of several sequence-specific DNA-binding proteins from pea, wheat, soybean and cauliflower. Plant Mol Biol. 1991;17:111–123. doi: 10.1007/BF00036811. [DOI] [PubMed] [Google Scholar]
- 62.Nan X, Campoy FJ, Bird A. MeCP2 is a transcriptional repressor with abundant binding sites in genomic chromatin. Cell. 1997;88:471–481. doi: 10.1016/s0092-8674(00)81887-5. [DOI] [PubMed] [Google Scholar]
- 63.Hendrich B, Bird A. Identification and characterization of a family of mammalian methyl-CpG binding proteins. Mol Cell Biol. 1998;18:6538–6547. doi: 10.1128/mcb.18.11.6538. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Ng HH, Zhang Y, Hendrich B, et al. MBD2 is a transcriptional repressor belonging to the MeCP1 histone deacetylase complex. Nat Genet. 1999;23:58–61. doi: 10.1038/12659. [DOI] [PubMed] [Google Scholar]
- 65.Fujita N, Takebayashi S, Okumura K, et al. Methylation-mediated transcriptional silencing in euchromatin by methyl-CpG binding protein MBD1 isoforms. Mol Cell Biol. 1999;19:6415–6426. doi: 10.1128/mcb.19.9.6415. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Kyle UG, Pichard C. The Dutch Famine of 1944-1945: a pathophysiological model of long-term consequences of wasting disease. Curr Opin Clin Nutr Metab Care. 2006;9:388–394. doi: 10.1097/01.mco.0000232898.74415.42. [DOI] [PubMed] [Google Scholar]
- 67.Duhl DM, Vrieling H, Miller KA, Wolff GL, Barsh GS. Neomorphic agouti mutations in obese yellow mice. Nat Genet. 1994;8:59–65. doi: 10.1038/ng0994-59. [DOI] [PubMed] [Google Scholar]
- 68.Waterland RA, Jirtle RL. Transposable elements: targets for early nutritional effects on epigenetic gene regulation. Mol Cell Biol. 2003;23:5293–5300. doi: 10.1128/MCB.23.15.5293-5300.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Morgan HD, Sutherland HG, Martin DI, Whitelaw E. Epigenetic inheritance at the agouti locus in the mouse. Nat Genet. 1999;23:314–318. doi: 10.1038/15490. [DOI] [PubMed] [Google Scholar]
- 70.Zeng L, Fagotto F, Zhang T, et al. The mouse Fused locus encodes Axin, an inhibitor of the Wnt signaling pathway that regulates embryonic axis formation. Cell. 1997;90:181–192. doi: 10.1016/s0092-8674(00)80324-4. [DOI] [PubMed] [Google Scholar]
- 71.Vasicek TJ, Zeng L, Guan XJ, Zhang T, Costantini F, Tilghman SM. Two dominant mutations in the mouse fused gene are the result of transposon insertions. Genetics. 1997;147:777–786. doi: 10.1093/genetics/147.2.777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Flood WD, Ruvinsky A. Alternative splicing and expressivity of the Axin(Fu) allele in mice. Heredity. 2001;87(pt 2):146–152. doi: 10.1046/j.1365-2540.2001.00868.x. [DOI] [PubMed] [Google Scholar]
- 73.Rakyan VK, Chong S, Champ ME, et al. Transgenerational inheritance of epigenetic states at the murine Axin(Fu) allele occurs after maternal and paternal transmission. Proc Natl Acad Sci USA. 2003;100:2538–2543. doi: 10.1073/pnas.0436776100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Cooney CA, Dave AA, Wolff GL. Maternal methyl supplements in mice affect epigenetic variation and DNA methylation of offspring. J Nutr. 2002;132(suppl):2393S–2400S. doi: 10.1093/jn/132.8.2393S. [DOI] [PubMed] [Google Scholar]
- 75.Waterland RA, Dolinoy DC, Lin JR, Smith CA, Shi X, Tahiliani KG. Maternal methyl supplements increase offspring DNA methylation at Axin Fused. Genesis. 2006;44:401–406. doi: 10.1002/dvg.20230. [DOI] [PubMed] [Google Scholar]
- 76.Ingrosso D, Cimmino A, Perna AF, et al. Folate treatment and unbalanced methylation and changes of allelic expression induced by hyperhomocysteinaemia in patients with uraemia. Lancet. 2003;361:1693–1699. doi: 10.1016/S0140-6736(03)13372-7. [DOI] [PubMed] [Google Scholar]
- 77.Wolff GL, Kodell RL, Moore SR, Cooney CA. Maternal epigenetics and methyl supplements affect agouti gene expression in Avy/a mice. FASEB J. 1998;12:949–957. [PubMed] [Google Scholar]
- 78.Feinberg AP, Tycko B. The history of cancer epigenetics. Nat Rev Cancer. 2004;4:143–153. doi: 10.1038/nrc1279. [DOI] [PubMed] [Google Scholar]
- 79.Falls JG, Pulford DJ, Wylie AA, Jirtle RL. Genomic imprinting: implications for human disease. Am J Pathol. 1999;154:635–647. doi: 10.1016/S0002-9440(10)65309-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Numachi Y, Yoshida S, Yamashita M, et al. Psychostimulant alters expression of DNA methyltransferase mRNA in the rat brain. Ann N Y Acad Sci. 2004;1025:102–109. doi: 10.1196/annals.1316.013. [DOI] [PubMed] [Google Scholar]
- 81.Veldic M, Caruncho HJ, Liu WS, et al. DNA-methyltransferase 1 mRNA is selectively overexpressed in telencephalic GABAergic interneurons of schizophrenia brains. Proc Natl Acad Sci USA. 2004;101:348–353. doi: 10.1073/pnas.2637013100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Kumar A, Choi KH, Renthal W, et al. Chromatin remodeling is a key mechanism underlying cocaine-induced plasticity in striatum. Neuron. 2005;48:303–314. doi: 10.1016/j.neuron.2005.09.023. [DOI] [PubMed] [Google Scholar]
- 83.Tremolizzo L, Carboni G, Ruzicka WB, et al. An epigenetic mouse model for molecular and behavioral neuropathologies related to schizophrenia vulnerability. Proc Natl Acad Sci USA. 2002;99:17095–17100. doi: 10.1073/pnas.262658999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Chen Y, Sharma RP, Costa RH, Costa E, Grayson DR. On the epigenetic regulation of the human reelin promoter. Nucleic Acids Res. 2002;30:2930–2939. doi: 10.1093/nar/gkf401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Tremolizzo L, Doueiri MS, Dong E, et al. Valproate corrects the schizophrenia-like epigenetic behavioral modifications induced by methionine in mice. Biol Psychiatry. 2005;57:500–509. doi: 10.1016/j.biopsych.2004.11.046. [DOI] [PubMed] [Google Scholar]
- 86.Weaver IC, Cervoni N, Champagne FA, et al. Epigenetic programming by maternal behavior. Nat Neurosci. 2004;7:847–854. doi: 10.1038/nn1276. [DOI] [PubMed] [Google Scholar]
- 87.Miller CA, Sweatt JD. Covalent modification of DNA regulates memory formation. Neuron. 2007;53:857–869. doi: 10.1016/j.neuron.2007.02.022. [DOI] [PubMed] [Google Scholar]
- 88.Mill J, Tang T, Kaminsky Z, et al. Epigenomic profiling reveals DNA-methylation changes associated with major psychosis. Am J Hum Genet. 2008;82:696–711. doi: 10.1016/j.ajhg.2008.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Petronis A, Paterson AD, Kennedy JL. Schizophrenia: an epigenetic puzzle? Schizophr Bull. 1999;25:639–655. doi: 10.1093/oxfordjournals.schbul.a033408. [DOI] [PubMed] [Google Scholar]
- 90.Petronis A. The origin of schizophrenia: genetic thesis, epigenetic antithesis, and resolving synthesis. Biol Psychiatry. 2004;55:965–970. doi: 10.1016/j.biopsych.2004.02.005. [DOI] [PubMed] [Google Scholar]
- 91.Petronis A. Human morbid genetics revisited: relevance of epigenetics. Trends Genet. 2001;17:142–146. doi: 10.1016/s0168-9525(00)02213-7. [DOI] [PubMed] [Google Scholar]
- 92.Fuke C, Shimabukuro M, Petronis A, et al. Age related changes in 5-methylcytosine content in human peripheral leukocytes and placentas: an HPLC-based study. Ann Hum Genet. 2004;68(pt 3):196–204. doi: 10.1046/j.1529-8817.2004.00081.x. [DOI] [PubMed] [Google Scholar]
- 93.Bock C, Lengauer T. Computational epigenetics. Bioinformatics. 2008;24:1–10. doi: 10.1093/bioinformatics/btm546. [DOI] [PubMed] [Google Scholar]
- 94.Collas P, Dahl JA. Chop it, ChIP it, check it: the current status of chromatin immunoprecipitation. Front Biosci. 2008;13:929–943. doi: 10.2741/2733. [DOI] [PubMed] [Google Scholar]
- 95.Schumacher A, Kapranov P, Kaminsky Z, et al. Microarray-based DNA methylation profiling: technology and applications. Nucleic Acids Res. 2006;34:528–542. doi: 10.1093/nar/gkj461. [DOI] [PMC free article] [PubMed] [Google Scholar]