Obesity and type 2 diabetes (T2D) are major risk factors for cardiovascular and other diseases and are currently undergoing an increase in global prevalence. The work presented in my thesis addresses the role epigenetics, specifically DNA methylation, plays in the susceptibility to obesity and T2D and deals with methodological issues in the analysis of DNA methylation data. I first combined epigenome-wide DNA methylation data across 38 adipose tissue samples with corresponding SNP and mRNA data for the same subjects. At 5% false discovery rate (FDR), methylation of 149 regions associated with at least one cis-SNP. When 19 of the 149 regions were tested for association in an additional 181 independent samples, five regions replicated. These results indicate a genetic influence on DNA methylation in adipose tissue. I then analysed 90 epigenome-wide methylation samples taken from 15 South Asian controls and 30 T2D cases participating in the LOLIPOP study at two time points ∼7 years apart. I found global differences at both follow-up and baseline between the normal glucose tolerant and T2D groups, as well as strong differences with aging. I further used the main EpiMigrant data from 2,687 individuals, with 36 samples measured in duplicate to assess approaches to quality control, data normalisation and batch correction through control probe adjustment. A null hypothesis for epigenome-wide association studies (EWAS) by permutation testing and I investigated the effects of correlation between individual methylation markers. Using the developed methods, I carried out an EWAS of body mass index (BMI) with subsequent meta-analysis amongst 10,261 individuals of European and South Asian ancestry. DNA methylation markers at 187 genetic loci were associated with BMI. Mendelian randomisation experiments suggested that association of DNA methylation with BMI is the consequence of BMI. Lastly, I tested haplotypes of 85 SNPs currently known to be associated with T2D and 118 SNPs associated with obesity traits for an enrichment of CpG creating or abrogating SNPs and found that 9 T2D and 23 obesity SNPs showed a significant difference in CpG count between the SNP alleles as established by permutation testing. Amongst these is FTO, a locus which has been previously been shown to have a haplotype-specific methylation effect. My work provides novel insights into the role of DNA methylation in metabolic diseases. The methods that I developed to robustly detect association are flexible and scalable and will further be useful for larger, future EWAS.

La méthylation de l'ADN est fortement reprogrammée pendant le développement chez les mammifères, où elle semble jouer un rôle essentiel dans la répression génique et le maintien de l'identité cellulaire. Néanmoins, les cibles de la méthylation de l'ADN, la cinétique d'acquisition et les mécanismes de ciblage au cours du développement sont mal connus. Le premier objectif de ma thèse a donc été d'identifier les cibles de la méthylation de l'ADN pendant l'embryogenèse chez la souris. Sachant que plusieurs études dans les cellules ES ont mis en évidence un lien entre l'histone méthyltransférase G9a et l'établissement de la méthylation de l'ADN, le deuxième objectif de ma thèse a été de tester le rôle de G9a dans l'établissement de la méthylation de l'ADN au cours de l'embryogenèse. Pour cela, j'ai développé une technique d'analyse de la méthylation à l'échelle génomique à partir d'un petit nombre de cellules. Nous avons observé que la méthylation est essentiellement catalysée par DNMT3B et est mise en place principalement pendant l'implantation de l'embryon entre le blastoscyste et l'épiblaste. Pendant cette période, la méthylation cible préférentiellement les gènes de la lignée germinale et est indispensable à leur répression. La méthylation cible aussi des gènes spécifiques de différentes lignées somatiques telles que la lignée hématopoïétique, et peut être effacée ultérieurement pendant la différentiation. De manière surprenante, nous avons identifié des promoteurs de gènes non soumis à l'empreinte qui semblent résister à la reprogrammation de la méthylation de l'ADN et hériter la méthylation des gamètes parentaux. Enfin, nous avons montré que, contrairement à ce que suggèrent les études dans les cellules ES, G9a ne semble pas être indispensable à l'acquisition et au maintien de la méthylation de l'ADN au niveau des promoteurs pendant le développement in vivo. / DNA methylation is an epigenetic mark extensively reprogrammed during mammalian development. It is believed to play essential functions in gene regulation and the maintenance of cellular identity. However, the target genes of DNA methylation and the mechanisms that recruit DNA methylation during development remain poorly understood. The first aim of my PhD project was to identify the target genes of DNA methylation during early mouse development in vivo. In addition, because several studies show that G9a is required for DNA methylation establishment and maintenance during ES cells differentiation, the second aim was to determine whether G9a is required for the establishment of promoter DNA methylation patterns during early development in vivo.To address these questions, I developped a genomics approach to map DNA methylation starting from very small amount of cells. .We observed a major epigenetic switch during implantation at the transition from the blastocyst to the postimplantation epiblast. During this period, DNA methylation is primarily targeted to repress the germline expression program. DNA methylation in the epiblast is also targeted to promoters of lineage-specific genes such as hematopoietic genes, which are subsequently demethylated during terminal differentiation. De novo methylation during early embryogenesis is catalyzed by Dnmt3b, and absence of DNA methylation leads to ectopic gene activation in the embryo. Surprisingly, we identify nonimprinted genes that escape post-fertilization DNA methylation reprogramming and seem to inherit promoter DNA methylation from parental gametes. Finally we show that, unlike what it was shown in ES cells, the absence of G9a in an in vivo context does not have a drastic effect on the maintenance and the establishment of promoter DNA methylation during early development.

Epigenetics refers to the mitotically heritable modifications in gene expression without a change in the genetic code. A combination of molecular, chemical and environmental factors constituting the epigenome is involved, together with the genome, in setting up the unique functionality of each cell type. DNA methylation is the most studied epigenetic mark in mammals, where a methyl group is added to the cytosine in a cytosine-phosphate-guanine dinucleotides or a CpG site. It has been shown to have a major role in various biological phenomena such as chromosome X inactivation, regulation of gene expression, cell differentiation, genomic imprinting. Furthermore, aberrant patterns of DNA methylation have been observed in various diseases including cancer. In this thesis, we have utilized machine learning methods and developed new methods and tools to analyze DNA methylation patterns as a biomarker of ageing, cancer subtyping and mental disorders. In Paper I, we introduced a pipeline of Monte Carlo Feature Selection and rule-base modeling using ROSETTA in order to identify combinations of CpG sites that classify samples in different age intervals based on the DNA methylation levels. The combination of genes that showed up to be acting together, motivated us to develop an interactive pathway browser, named PiiL, to check the methylation status of multiple genes in a pathway. The tool enhances detecting differential patterns of DNA methylation and/or gene expression by quickly assessing large data sets. In Paper III, we developed a novel unsupervised clustering method, methylSaguaro, for analyzing various types of cancers, to detect cancer subtypes based on their DNA methylation patterns. Using this method we confirmed the previously reported findings that challenge the histological grouping of the patients, and proposed new subtypes based on DNA methylation patterns. In Paper IV, we investigated the DNA methylation patterns in a cohort of schizophrenic and healthy samples, using all the methods that were introduced and developed in the first three papers.

Autoimmune diseases are clinical manifestations of a loss-of-tolerance of the immune system against the body’s own substances and healthy tissues. Primary Sjögren’s syndrome (pSS) and systemic lupus erythematosus (SLE) are two chronic inflammatory autoimmune diseases characterized by autoantibody production and an activated type I interferon system. Although the precise mechanisms leading to autoimmune processes are not well defined, recent studies suggest that aberrant DNA methylation and gene expression patterns may play a central role in the pathogenesis of these disorders. The aim of this thesis was to investigate DNA methylation and gene expression in pSS and SLE on a genome-wide scale to advance our understanding of how these factors contribute to the diseases and to identify potential biomarkers and novel treatment targets. In study I, differential DNA methylation was analyzed in multiple tissues from pSS patients and healthy controls. We identified thousands of CpG sites with perturbed methylation; the most prominent finding was a profound hypomethylation at regulatory regions of type I interferon induced genes in pSS. In study II, a cases-case study comparing DNA methylation in pSS patients with high fatigue to patients with low fatigue, we found methylation patterns associated to the degree of fatigue. In study III, RNA-sequencing was applied to investigate the transcriptome of B cells in pSS in comparison to controls. Increased expression of type I and type II interferon regulated genes in pSS was observed, indicating ongoing immune activation in B cells. In study IV, the impact of DNA methylation on disease susceptibility and phenotypic variability in SLE was investigated. We identified DNA methylation patterns associated to disease susceptibility, SLE manifestations and different treatments. In addition, we mapped methylation quantitative trait loci and observed evidence for genetic regulation of DNA methylation in SLE.   In conclusion, the results presented in this thesis provide new insights into the molecular mechanisms underlying autoimmunity in pSS and SLE. The studies confirm the central role of the interferon system in pSS and SLE and further suggest novel genes and mechanisms to be involved in the pathogenesis these autoimmune diseases.

The reexpression of the fetal γ-globin gene in adult erythrocytes is of therapeutic interest due to its ameliorating effects in β-hemoglobinopathies. We recently showed that Methyl CpG Binding Domain Protein2 (MBD2) contributes to the silencing of the chicken embryonic ρ-globin and human fetal γ-globin genes. We further biochemically characterized an erythroid MeCP1 complex that is recruited by MBD2 to mediate the silencing of these genes. These observations suggest that the disruption of the MeCP1 complex could augment the expression of the fetal/embryonic globin genes. In the studies presented in chapter 2, we have pursued a structural and biophysical analysis of the interaction between two of the six components of the MeCP1 complex: MBD2 and p66α. These studies show that the coiled coil regions from MBD2 and p66α form a highly stable heterodimeric complex. Further, overexpressing the p66α coiled coil domain in adult erythroid cells can augment the expression of the chicken ρ-globin and human γ-globin genes, by disrupting the assembly of a functional MeCP1 complex. This indicates that the exogenously expressed p66α coiled coil peptide competes with the endogenous p66α for the interaction with the coiled coil domain of MBD2. These studies show that the coiled coil interaction between MBD2 and p66α could serve as a potential targets for the therapeutic induction of fetal hemoglobin. The laboratory showed that knockout of MBD2 in transgenic mice carrying the human β-globin gene cluster, results in an elevated expression of γ-globin in adult erythrocytes. However, MBD2 does not directly bind to the γ-globin gene to mediate its silencing. In the work presented in chapter 3, we have tested the hypothesis that MBD2 may suppress γ-globin gene transcription in adult erythrocytes indirectly, by binding to and repressing transcription of intermediary gene/s which may be involved in γ-globin gene regulation. Employing microarray technology, we have identified Gab1 and ZBTB32 as candidate genes that may be involved in the MBD2 mediated silencing of γ-globin.

In recent years, the development of new genomic technologies has allowed for the investigation of many regulatory epigenetic marks besides expression levels, on a genome-wide scale. As the price for these technologies continues to decrease, study sizes will not only increase, but several different assays are beginning to be used for the same samples. It is therefore desirable to develop statistical methods to integrate multiple data types that can handle the increased computational burden of incorporating large data sets. Furthermore, it is important to develop sound quality control and normalization methods as technical errors can compound when integrating multiple genomic assays. DNA methylation is a commonly studied epigenetic mark, and the Infinium HumanMethylation450 BeadChip has become a popular microarray that provides genome-wide coverage and is affordable enough to scale to larger study sizes. It employs a complex array design that has complicated efforts to develop normalization methods. We propose a novel normalization method that uses a set of stable methylation sites from housekeeping genes as empirical controls to fit a local regression hypersurface to signal intensities. We demonstrate that our method performs favorably compared to other popular methods for the array. We also discuss an approach to estimating cell-type admixtures, which is a frequent biological confound in these studies. For data integration we propose a gene-centric procedure that uses canonical correlation and subsequent permutation testing to examine correlation or other measures of association and co-localization of epigenetic marks on the genome. Specifically, a likelihood ratio test for general association between data modalities is performed after an initial dimension reduction step. Canonical scores are then regressed against covariates of interest using linear mixed effects models. Lastly, permutation testing is performed on weighted correlation matrices to test for co-localization of relationships to physical locations in the genome. We demonstrate these methods on a set of developmental brain samples from the BrainSpan consortium and find substantial relationships between DNA methylation, gene expression, and alternative promoter usage primarily in genes related to axon guidance. We perform a second integrative analysis on another set of brain samples from the Stanley Medical Research Institute.

The role of abnormal DNA methylation in the progression of disease is a growing area of research that relies upon the establishment of sound statistical methods. The common method for declaring there is differential methylation between two groups at a given CpG site, as summarized by the difference between proportions methylated db=b1-b2, has been through use of a Filtered Two Sample t-test, using the recommended filter of 0.17 (Bibikova et al., 2006b). In this dissertation, we performed a re-analysis of the data used in recommending the threshold by fitting a mixed-effects ANOVA model. It was determined that the 0.17 filter is not accurate and conjectured that application of a Filtered Two Sample t-test likely leads to loss of power. Further, the Two Sample t-test assumes that data arise from an underlying distribution encompassing the entire real number line, whereas b1 and b2 are constrained on the interval . Additionally, the imposition of a filter at a level signifying the minimum level of detectable difference to a Two Sample t-test likely reduces power for smaller but truly differentially methylated CpG sites. Therefore, we compared the Two Sample t-test and the Filtered Two Sample t-test, which are widely used but largely untested with respect to their performance, to three proposed methods. These three proposed methods are a Beta distribution test, a Likelihood ratio test, and a Bootstrap test, where each was designed to address distributional concerns present in the current testing methods. It was ultimately shown through simulations comparing Type I and Type II error rates that the (unfiltered) Two Sample t-test and the Beta distribution test performed comparatively well.

La betterave sucrière est une plante bisannuelle dont le besoin de vernalisation est absolu. Ce processus correspond à l’acquisition de l’aptitude à la montaison et à la floraison et résulte d’une exposition prolongée à de basses températures. La durée de froid requise pour induire la montaison puis la floraison varie suivant les génotypes et reflète leur tolérance à la montaison, qui constitue donc un caractère agronomique essentiel. Cette thèse visait à (i) mettre en évidence un éventuel contrôle épigénétique (méthylation ADN) de l‘induction de la montaison chez des génotypes de betterave sucrière résistants ou sensibles à la montaison, (ii) identifier les séquences ciblées par des remaniements de méthylation de l’ADN et d’expression associés, et (iii) caractériser certaines séquences candidates en vue de leur utilisation comme marqueurs de la montaison. Nos travaux ont montré que l’amplitude et la cinétique des variations de méthylation de l’ADN observées au cours de la vernalisation semblent être des éléments critiques de l’induction et de la tolérance à la montaison. Par une approche ciblée, des séquences dont la méthylation de l’ADN est remaniée ont été identifiées. L’implication dans la transition florale de deux BvRNMT (RNA METHYLTRANSFERASES) et de la méthylation des ARN, tels que l’ARNm de BvFL1, un répresseur floral, a ainsi été mise en évidence chez la betterave sucrière. Enfin, grâce à une approche génomique, un réseau de gènes intégratif incluant la réponse à l’environnement, la signalisation hormonale et l’induction de la floraison a été identifié. La cinétique d’activation de ces gènes définirait le niveau de tolérance à la montaison des différents génotypes de betterave sucrière. / Sugar beet is a biennial plant with an absolute requirement of vernalization, corresponding to the acquisition of the competence to bolt and flower after a prolonged exposure to low temperatures. The cold duration needed to induce bolting and flowering varies depending on the genotypes, reflecting their bolting tolerance, which is an essential agronomic trait. This work aimed at (i) investigating a possible epigenetic control of bolting induction in bolting sensitive and bolting resistant sugar beet genotypes, (ii) identifying sequences targeted by DNA methylation and expression remodeling, and (iii) characterizing candidate sequences which could be used in marked-assisted selection for plant breeding. Our data suggest that the time course and amplitude of DNA methylation variations are critical points for the induction of sugar beet bolting and represent an epigenetic component of the genotypic bolting tolerance. In addition, we identified differentially methylated sequences exhibiting variations of gene-body DNA methylation and expression during cold exposure and/or between genotypes. Among them, two RNA METHYLCYTOSINE TRANSFERASES, in association with RNA methylation such as BvFL1 mRNA, a floral repressor, were shown to play a role in floral transition. Finally, using microarrays we identified an integrative network of genes including response to environment, phytohormone signalling and flowering induction. The activation kinetics of these genes could define the bolting tolerance level of sugar beet genotypes.

Background: The major histocompatibility complex (MHC) molecules play an important role in the immune response regulation and in the maintenance of the immune homeostasis. Regulation of their expression is therefore a key factor influencing the adaptive immune response. DNA methylation of gene regulatory regions is one of the mechanisms of gene expression control that affects the accessibility of DNA to transcription factors. Ageing is connected with changes in DNA methylation and increased predisposition to autoimmune diseases in older age could be associated with changes in MHC class II genes methylation. Aims: The aim of this diploma thesis is to analyze the methylation profile of DQA1 and DQB1 genes regulatory regions and to compare its differences between the generations and between individual alleles. The next aim is to compare DQA1 mRNA expression between the generations and between single alleles. Methods: DNA and RNA were isolated from blood of three age group donors. DNA was converted by the bisulfite treatment and regulatory regions of HLA class II genes were amplified and cloned into bacteria. Positive clones were sequenced and then analyzed. RNA was reverse transcribed and its expression level was determined by real-time PCR. Results: Statistically significant differences were found by...

Stress can induce prolonged deleterious effects on many characteristics in chickens (Gallus gallus). Particular interest has been paid to early life stress. Social isolation as an early life stressor results in increased plasma corticosterone levels. Moreover, it induces behavioural and physiological changes as well as gene expression modifications in the hypothalamus. In the first part of my study, I aim to inquire into social isolation impacts on the short and long-term. Short and long-term effects were assessed by immune system, behaviour and weight. 82 male chickens were assigned to three groups (stress, control and enrichment). The stress group was exposed to social isolation, the enrichment group was provided with enrichment substrates while the control group was left untreated. According to my knowledge, this is the first study that investigates the effects of social isolation on the interuleikn-6 levels as an indicator of immune system response. My findings suggest that social isolation induces short and long-term effects on immune response as well as on body weight. In the second part of my study, I aim to develop a method investigating effects of early stress on DNA methylation in blood and sperm. For this purpose, two methods GBS (Genotyping by sequencing) and MeDIP (Methylated DNA immuneprecipitation) were f using pooled DNA from all individuals for the first time. Moreover, I developed a protocol for extracting sperm DNA from frozen testis. Combining both methods has many advantages, such as cost effectiveness and the ability to evaluate epigenetic signatures in large number of individuals