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Le Syndrome d’Impatiences Musculaires de l’Éveil (SIME) est une maladie neurologique caractérisée par un besoin urgent de bouger les jambes. C’est également l’une des causes les plus fréquentes d’insomnie. C’est une maladie très répandue, avec une prévalence de presque 15 % dans la population générale. Les maladies multifactorielles comme le SIME sont souvent le résultat de l’évolution d’une composante génétique et d’une composante environnementale. Dans le cadre du SIME, les études d’association génomique ont permis l’identification de 4 variants à effet modéré ou faible. Cependant, ces quatre variants n’expliquent qu’une faible partie de la composante génétique de la maladie, ce qui confirme que plusieurs nouveaux variants sont encore à identifier. Le rôle des déséquilibres génomiques (Copy Number Variations ou CNVs) dans le mécanisme génétique du SIME est à ce jour inconnu. Cependant, les CNVs se sont récemment positionnés comme une source d’intérêt majeur de variation génétique potentiellement responsable des phénotypes. En collaboration avec une équipe de Munich, nous avons réalisé deux études CNVs à échelle génomique (biopuces à SNP et hybridation génomique comparée (CGH)) sur des patients SIME d’ascendance germanique. À l’aide d’une étude cas-contrôle, nous avons pu identifier des régions avec une occurrence de CNVs différentes pour les patients SIME, comparés à différents groupes contrôles. L’une de ces régions est particulièrement intéressante, car elle est concordante à la fois avec des précédentes études familiales ainsi qu’avec les récentes études d’associations génomiques. / Restless Legs syndrome (RLS) is a neurological disorder characterized by the urge to move one’s limbs. It is also one of the most frequent causes of insomnia. The prevalence of RLS is estimated to be around 15% in the general population. Complexes disorders like RLS are often the result of the evolution of genetic and environmental components. For RLS, recent Genome Wide Association Study (GWAS) have identified four variants with mild to moderate effects. However, those four variants explain only a small part of the disease heritability and thus, we expect that many new variants are still to be found. The impact of Copy-Number Variation (CNV) in the genetic mechanism of RLS is still unknown. However, many studies have recently position the CNVs as a significant source of genetic variation potentially responsible of phenotypes. In collaboration with a team from Munich, we conducted two genome-wide CNVs studies (Genome Wide SNP chips and Comparative Genomic Hybridization (CGH)) on RLS patients from Germany. Using cases-controls studies, we identified regions with a different occurrence of CNVs for RLS patients, compared to different groups of controls. One of these regions is particularly interesting, as it has already been identified by both linkage and association studies.

Les variations en nombre de copies (CNV) sont des gains ou pertes d’une séquence d’ADN et peuvent avoir un rôle dans la susceptibilité à certaines maladies. Les CNVs peuvent être détectés par les puces de SNPs de haute résolution en analysant les intensités des allèles avec des algorithmes de détection des CNVs tels que CNV partition, PennCNV et QuantiSNP. Dans cette thèse, nous avons évalué les performances de ces outils pour la détection des CNVs au niveau pangénomique et pour les tests d'association. Nous avons également étudié des stratégies d'association combinant les informations de l'allèle et du nombre de copies pour des SNP situés dans des CNV. Nous avons appliqué ces outils pour mener une étude d’association pan-génomique avec les CNV en utilisant les données de l'étude espagnole du cancer de lavessie (SBC)/EPICURO générées par la puce Illumina 1M.Nos résultats montrent une faible fiabilité et une faible sensibilité des algorithmes de détection des CNV. Dans la région du gène GSTM1 où un CNV très fréquent existe qui est associé au risque de cancer de la vessie, nous avons constaté que les algorithmes de détection des CNV ont de faibles performances. Néanmoins, l’utilisation de la mesure d'intensité des allèles dans les tests d'association peut alors être une alternative intéressante car cela nous a permis de détecter cette association connue. Pour les SNPs situés dans des CNVs, nous avons étudié plusieurs stratégies de tests d'association et nous avons montré que la plus puissante était d’utiliser un modèle avec deux termes correspondant respectivement à la somme et à la différence du nombre de copies des deux allèles. Finalement, en appliquant ces stratégies à l'étude (SBC)/EPICURO, nous avons identifié des CNVs potentiellement associés au risque de cancer de la vessie, ainsi que des SNP dont l'allèle et le nombre de copies pourraient être impliqués dans le risque de cancer de la vessie. / Copy number variations (CNVs) are losses or gains of DNA sequences that may play a role in specific disease susceptibility. CNVs can be detected by high-resolution SNP-arrays through the analysis of allele intensities with CNV calling algorithms such as CNVpartition, PennCNV and QuantiSNP. In this thesis, we identified and assessed the performances of available tools for CNV calling and for association testing, at the genome-wide level. We also investigatedassociation strategies that combine information on both the allele and the number of copies for SNPs located in CNV regions. We applied these tools to conduct a genome-wide association study with CNV using data from the Spanish Bladder Cancer (SBC)/EPICURO Study generated by the Illumina 1M SNP-array. Our results showed a low reliability and a low sensitivity of the investigated CNV calling algorithms applied to SNP-array data. The GSTM1 locus shows a very frequent CNV that is associated with bladder cancer (BC) risk. We reported that the calling algorithms performed very poorly in identifying this CNV. We proposed using allele intensity measures (LRR) as a screening step to assess association as it allowed the detection of the GSTM1 CNV association with BC. To combine the allele and the number of copies for SNPs located in CNV regions, we investigated several strategies of association testing and we showed that the more powerfulone used a two-term model with the sum and the difference of the number of copies of both alleles. Finally, by applying these strategies to the (SBC)/EPICURO Study, we identified CNV regions potentially associated with BC risk, as well as SNPs for which both the allele and the number of copies could be involved in BC risk.

Les néoplasmes myéloprolifératifs (NMP) sont des maladies acquises touchant la cellule souche hématopoïétique et qui aboutissent à une hyperproduction de cellules sanguines dont le phénotype dépend du type du NMP. La mutation la plus proéminente des NMP est JAK2V617F. Elle peut être associée à différents NMP sporadiques et familiaux.Une des problématiques, non résolue, des NMP est de comprendre comment une même mutation JAK2V617F peut donner plusieurs maladies. Notre hypothèse est que le phénotype observé pourrait dépendre du nombre de copies de JAK2V617F. Une autre inconnue concerne la cause génétique des formes familiales.Pour ces raisons, nous avons modélisé des NMP sporadiques et un cas familial par les iPS. Cette approche devrait nous permettre d’une part, de comparer les effets de JAK2V617F à l’état hétérozygote et homozygote sur l’hématopoïèse et d’autre part, d’avancer dans la compréhension des effets d’une duplication de 5 gènes que nous avons identifiée, par une approche de génétique, comme un facteur de susceptibilité chez 2 familles.Dans la première partie du travail, concernant la modélisation des NMP sporadiques, nous avons montré que JAK2V617F augmente la prolifération des cellules myéloïdes obtenues à partir des iPS. D’autre part, nous avons pu mettre en évidence une différence marquée dans l’hypersensibilité à la TPO et à l’EPO entre les lignées hétérozygotes et homozygotes pour JAK2V617F permettant d’expliquer le phénotype des PV et des TE. Dans la deuxième partie concernant les NMP familiaux, nous avons pu mettre en évidence un phénotype spécifique attribuable à la seule duplication. Grace à ce modèle, nous allons pouvoir identifier le(s) gène(s) responsable(s) du phénotype. Ce travail apporte la preuve de concept que les iPS sont un bon outil pour modéliser les NMP sporadiques et familiaux et qu’elles peuvent servir comme outils de criblage de petites molécules développées à des fins thérapeutiques. / Myeloproliferative neoplasms (MPN) are clonal hematologic diseases which lead to an overproduction of blood cells. The affected myeloid lineage depends on the type of MPN. JAK2V617F is the most predominant mutation in MPN and can be associated with various sporadic and familial cases.One main issue to address in MPN is to understand how a single mutation JAK2V617F can give rise to several diseases. Our hypothesis is that this phenotypic heterogeneity might be due to the JAK2V617F gene dosage. Another goal is to identify the genetic cause of familial MPN.For these reasons, we modeled sporadic and familial MPN cases with iPS technology. This approach allowed us i) to compare the impact of heterozygous and homozygous JAK2V617F mutation on hematopoiesis and ii) to get insight into the effects of a 5 genes duplication that we identified as a susceptibility locus uncovered by a genetic approach in 2 families.In the first part of the work concerning sporadic MPN modeling, we showed that JAK2V617F increases iPS myeloid potential. Furthermore, we showed a marked difference in the TPO and EPO hypersensitivity between heterozygous and homozygous JAK2V617F iPS cell lines that could be linked to the difference between PV and ET. In the second part of the work, we demonstrated a specific phenotype due to the sole duplication. This model will allow us to identify the gene(s) responsible of the phenotype. This study brings the proof of concept that iPS can be used for sporadic and familial MPN modeling and drug screening.

Copy number variation (CNV) comprises a recently discovered kind of variation involving deletion and duplication of DNA segments of variable size, ranging from a few hundred basepairs to several million. By altering gene dosage levels or disrupting proximal or distant regulatory elements CNVs create human diversity. They represent also an important factor in human evolution and play a role in many disorders including cancer. Array-based comparative genomic hybridization as well as expression arrays are powerful and suitable methods for determination of copy number variations or gene expression changes in the human genome. In paper I we established a 32K clone-based genomic array, covering 99% of the current assembly of the human genome with high resolution and applied it in the profiling of 71 healthy individuals from three ethnic groups. Novel and previously reported CNVs, involving ~3.5% of the genome, were identified. Interestingly, 87% of the detected CNV regions overlapped with known genes indicating that they probably have phenotypic consequences. In papers II through IV we applied this platform to different tumor types, namely two collections of brain tumors, glioblastoma (paper II) and medulloblastoma (paper III), and a set of bladder carcinoma (paper IV) to identify chromosomal alterations at the level of DNA copy number that could be related to tumor initiation/progression. Tumors of the central nervous system represent a heterogeneous group of both benign and malignant neoplasms that affect both children and adults. Glioblastoma and medulloblastoma are two malignant forms. Glioblastoma often affects adults while the embryonal tumor medulloblastoma is the most common malignant brain tumor among children. The detailed profiling of 78 glioblastomas, allowed us to identify a complex pattern of aberrations including frequent and high copy number amplicons (detected in 79% of samples) as well as a number of homozygously deleted loci. These regions encompassed not only previously reported oncogenes and tumor suppressor genes but also numerous novel genes. In paper III, a subset of 26 medulloblastomas was analyzed using the same genomic array. We observed that alterations involving chromosome 17, especially isochromosome 17q, were the most common genomic aberrations in this tumor type, but copy number alterations involving other chromosomes: 1, 7 and 8 were also frequent. Focal amplifications, on chromosome 1 and 3, not previously described, were also detected. These loci may encompass novel genes involved in medulloblastoma development. In paper IV we examined for the presence of DNA copy number alterations and their effect on gene expression in a subset of 21 well-characterized Ta bladder carcinomas, selected for the presence or absence of recurrences. We identified a number of novel genes as well as a significant association between amplifications and high-grade and recurrent tumors which might be clinically useful. The results derived from these studies increase our understanding of the genetic alterations leading to the development of these tumor forms and point out candidate genes that may be used in future as targets for new diagnostic and therapeutic strategies.

Le Syndrome d’Impatiences Musculaires de l’Éveil (SIME) est une maladie neurologique caractérisée par un besoin urgent de bouger les jambes. C’est également l’une des causes les plus fréquentes d’insomnie. C’est une maladie très répandue, avec une prévalence de presque 15 % dans la population générale. Les maladies multifactorielles comme le SIME sont souvent le résultat de l’évolution d’une composante génétique et d’une composante environnementale. Dans le cadre du SIME, les études d’association génomique ont permis l’identification de 4 variants à effet modéré ou faible. Cependant, ces quatre variants n’expliquent qu’une faible partie de la composante génétique de la maladie, ce qui confirme que plusieurs nouveaux variants sont encore à identifier. Le rôle des déséquilibres génomiques (Copy Number Variations ou CNVs) dans le mécanisme génétique du SIME est à ce jour inconnu. Cependant, les CNVs se sont récemment positionnés comme une source d’intérêt majeur de variation génétique potentiellement responsable des phénotypes. En collaboration avec une équipe de Munich, nous avons réalisé deux études CNVs à échelle génomique (biopuces à SNP et hybridation génomique comparée (CGH)) sur des patients SIME d’ascendance germanique. À l’aide d’une étude cas-contrôle, nous avons pu identifier des régions avec une occurrence de CNVs différentes pour les patients SIME, comparés à différents groupes contrôles. L’une de ces régions est particulièrement intéressante, car elle est concordante à la fois avec des précédentes études familiales ainsi qu’avec les récentes études d’associations génomiques. / Restless Legs syndrome (RLS) is a neurological disorder characterized by the urge to move one’s limbs. It is also one of the most frequent causes of insomnia. The prevalence of RLS is estimated to be around 15% in the general population. Complexes disorders like RLS are often the result of the evolution of genetic and environmental components. For RLS, recent Genome Wide Association Study (GWAS) have identified four variants with mild to moderate effects. However, those four variants explain only a small part of the disease heritability and thus, we expect that many new variants are still to be found. The impact of Copy-Number Variation (CNV) in the genetic mechanism of RLS is still unknown. However, many studies have recently position the CNVs as a significant source of genetic variation potentially responsible of phenotypes. In collaboration with a team from Munich, we conducted two genome-wide CNVs studies (Genome Wide SNP chips and Comparative Genomic Hybridization (CGH)) on RLS patients from Germany. Using cases-controls studies, we identified regions with a different occurrence of CNVs for RLS patients, compared to different groups of controls. One of these regions is particularly interesting, as it has already been identified by both linkage and association studies.

Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro / A Deficiência Intelectual (DI) é uma condição complexa, que acomete 2-3% da população mundial, constituindo um importante problema de saúde pública. No entanto, uma parcela significativa dos casos de DI permanece sem um diagnóstico definitivo, o que demonstra que muitos fatores etiológicos associados a esta condição ainda precisam ser elucidados. Há um consenso de que o número de homens com DI supera em 30% o número de mulheres, um achado atribuído à presença de mutações em genes localizados no cromossomo X. Dentre os genes presentes neste cromossomo que são expressos no cérebro, o Jumonji AT-rich interactive domain 1C (JARID1C) foi identificado como um potencial candidato a estar relacionado à DI ligada ao X (DILX). O gene JARID1C codifica uma desmetilase da lisina 4 da histona H3 (H3K4), imprescindível para a regulação epigenética. Tão importante quanto o estudo do gene JARID1C em pacientes com DI é a busca por variações no número de cópias gênicas (VNCs) em regiões cromossômicas subteloméricas. Genes relacionados ao desenvolvimento cerebral são enriquecidos em VNCs e as regiões subteloméricas são mais susceptíveis à formação destes rearranjos. Diante do exposto, neste estudo, investigamos mutações no gene JARID1C (exons 3, 4, 5, 8, 10, 14 e 23) em 148 homens portadores de DI pertencentes a famílias com padrão de segregação sugestivo de DILX. Paralelamente, analisamos VNCs subteloméricas em 174 homens com DI familiar de etiologia idiopática, independente do padrão de segregação. Para todos os indivíduos selecionados, amostras de DNA genômico foram extraídas a partir de sangue periférico e alterações genéticas frequentemente relacionadas à DI foram previamente excluídas (expansões trinucleotídicas nos loci FRAXA e FRAXE e mutações nos genes MECP2 e ARX). A análise do gene JARID1C foi realizada pela técnica de PCR, seguida da análise dos produtos amplificados por sequenciamento. Foram identificadas quatro variantes silenciosas (c.564G>A, c.633G>C, c.1884G>A, c.1902C>A). Através da análise in silico de sequências exônicas acentuadoras de splicing (ESEs) localizadas nas posições das variantes encontradas, foi possível classificar a variante c.1884G>A como neutra e as três variantes restantes como possíveis criadoras de ESEs. Já para a investigação das VNCs subteloméricas, foi utilizada a metodologia de Multiplex Ligation-dependent Probe Amplification (MLPA), capaz de identificar microdeleções e microduplicações nas 46 regiões subteloméricas. Para este fim, inicialmente, os indivíduos foram investigados pelo kit de MLPA P036, enquanto que para aqueles que exibiram alterações também foi utilizado o kit P070. A validação das VNCs encontradas foi realizada por PCR quantitativo em Tempo Real. A análise por MLPA revelou um indivíduo apresentando duas deleções (9p e 13q), um indivíduo apresentando duas amplificações (1p e 2p), dois indivíduos apresentando uma deleção e uma amplificação (18p e 18q; 4p e 8p), quatro indivíduos portadores de uma deleção cada (10p, 20p, 3q e 22q) e dois indivíduos com uma amplificação cada (7q e 20p). Algumas das alterações subteloméricas encontradas (2,87%) representam VNCs de relevância clínica para o estudo da DI, reforçando a importância do rastreamento de rotina de VNCs subteloméricas na DI familiar. Consideramos que a elucidação de novos genes ou mecanismos moleculares diretamente relacionados à DI é um caminho promissor e urgente para o estabelecimento de novas estratégias terapêuticas possíveis. / Intellectual Disability (ID) is a complex condition, which affects 2-3% of general population, constituting a major public health problem. Nevertheless, a significant number of ID cases remain to have a definitive diagnosis, showing that many etiologic factors associated with this condition need to be elucidated. There is a consensus that the number of ID males exceeds by 30% the number of females, a finding that is attributed to the presence of mutations in genes located on chromosome X. Among the X-linked brain-expressed genes, the Jumonji AT-rich interactive domain 1C (JARID1C) was identified as a potential candidate to be related to X-Linked ID (XLID). The JARID1C gene encodes a histone demethylase specific for histone 3 lysine 4 (H3K4), which is indispensable for the epigenetic regulation. As important as the study of JARID1C gene in ID patients is the search for subtelomeric copy number variations (CNVs). Genes related to brain development are enriched in CNVs and subtelomeric regions are particularly susceptible to these rearrangements. In view of this evidence, in this study we investigated JARID1C mutations (exons 3, 4, 5, 8, 10, 14 and 23) among 148 males with ID from families with a segregation pattern suggestive of XLID. In parallel, we analyzed subtelomeric CNVs among 174 males with idiopathic familial ID, regardless of the segregation pattern. For all selected individuals, genomic DNA was extracted from peripheral blood and other frequent genetic causes related to ID were previously excluded (trinucleotide expansions at FRAXA and FRAXE loci and mutations in MECP2 and ARX genes). The JARID1C gene analysis was performed by PCR followed by sequencing analysis of the amplified products. We identified four silent mutations (c.564G>A, c.633G>C, c.1884G>A and c.1902C>A). In silico analysis of exonic splicing enhancers (ESEs) located in the variants positions made possible to classify the variant c.1884G>A as neutral and the remaining variants as potential creators of new ESEs. For the investigation of subtelomeric CNVs, Multiplex Ligation-dependent Probe Amplification (MLPA) methodology was applied to identify microdeletions and microduplications in the 46 subtelomeric regions. For this purpose, individuals were initially investigated by P036 MLPA kit, whereas for those who exhibited abnormalities, the P070 kit was also used. The CNVs validation was performed by quantitative Real Time PCR. The MLPA analysis revealed an individual with two deletions (9p and 13q), an individual with two amplifications (1p and 2p), two individuals with a deletion and amplification (18q and 18p; 4p and 8p), four individuals with a deletion (10p, 20p, 3q and 22q) and two individuals with an amplification (7q and 20p). Some of the changes found (2,87%) represent subtelomeric CNVs of clinical relevance for the study of ID, reinforcing the importance of routine screening of subtelomeric CVNs in cases of familial ID. We believe that the elucidation of novel genes or molecular mechanisms directly related to ID is a promising and urgent way for establishing new possible therapeutic strategies.

Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro / A Deficiência Intelectual (DI) é uma condição complexa, que acomete 2-3% da população mundial, constituindo um importante problema de saúde pública. No entanto, uma parcela significativa dos casos de DI permanece sem um diagnóstico definitivo, o que demonstra que muitos fatores etiológicos associados a esta condição ainda precisam ser elucidados. Há um consenso de que o número de homens com DI supera em 30% o número de mulheres, um achado atribuído à presença de mutações em genes localizados no cromossomo X. Dentre os genes presentes neste cromossomo que são expressos no cérebro, o Jumonji AT-rich interactive domain 1C (JARID1C) foi identificado como um potencial candidato a estar relacionado à DI ligada ao X (DILX). O gene JARID1C codifica uma desmetilase da lisina 4 da histona H3 (H3K4), imprescindível para a regulação epigenética. Tão importante quanto o estudo do gene JARID1C em pacientes com DI é a busca por variações no número de cópias gênicas (VNCs) em regiões cromossômicas subteloméricas. Genes relacionados ao desenvolvimento cerebral são enriquecidos em VNCs e as regiões subteloméricas são mais susceptíveis à formação destes rearranjos. Diante do exposto, neste estudo, investigamos mutações no gene JARID1C (exons 3, 4, 5, 8, 10, 14 e 23) em 148 homens portadores de DI pertencentes a famílias com padrão de segregação sugestivo de DILX. Paralelamente, analisamos VNCs subteloméricas em 174 homens com DI familiar de etiologia idiopática, independente do padrão de segregação. Para todos os indivíduos selecionados, amostras de DNA genômico foram extraídas a partir de sangue periférico e alterações genéticas frequentemente relacionadas à DI foram previamente excluídas (expansões trinucleotídicas nos loci FRAXA e FRAXE e mutações nos genes MECP2 e ARX). A análise do gene JARID1C foi realizada pela técnica de PCR, seguida da análise dos produtos amplificados por sequenciamento. Foram identificadas quatro variantes silenciosas (c.564G>A, c.633G>C, c.1884G>A, c.1902C>A). Através da análise in silico de sequências exônicas acentuadoras de splicing (ESEs) localizadas nas posições das variantes encontradas, foi possível classificar a variante c.1884G>A como neutra e as três variantes restantes como possíveis criadoras de ESEs. Já para a investigação das VNCs subteloméricas, foi utilizada a metodologia de Multiplex Ligation-dependent Probe Amplification (MLPA), capaz de identificar microdeleções e microduplicações nas 46 regiões subteloméricas. Para este fim, inicialmente, os indivíduos foram investigados pelo kit de MLPA P036, enquanto que para aqueles que exibiram alterações também foi utilizado o kit P070. A validação das VNCs encontradas foi realizada por PCR quantitativo em Tempo Real. A análise por MLPA revelou um indivíduo apresentando duas deleções (9p e 13q), um indivíduo apresentando duas amplificações (1p e 2p), dois indivíduos apresentando uma deleção e uma amplificação (18p e 18q; 4p e 8p), quatro indivíduos portadores de uma deleção cada (10p, 20p, 3q e 22q) e dois indivíduos com uma amplificação cada (7q e 20p). Algumas das alterações subteloméricas encontradas (2,87%) representam VNCs de relevância clínica para o estudo da DI, reforçando a importância do rastreamento de rotina de VNCs subteloméricas na DI familiar. Consideramos que a elucidação de novos genes ou mecanismos moleculares diretamente relacionados à DI é um caminho promissor e urgente para o estabelecimento de novas estratégias terapêuticas possíveis. / Intellectual Disability (ID) is a complex condition, which affects 2-3% of general population, constituting a major public health problem. Nevertheless, a significant number of ID cases remain to have a definitive diagnosis, showing that many etiologic factors associated with this condition need to be elucidated. There is a consensus that the number of ID males exceeds by 30% the number of females, a finding that is attributed to the presence of mutations in genes located on chromosome X. Among the X-linked brain-expressed genes, the Jumonji AT-rich interactive domain 1C (JARID1C) was identified as a potential candidate to be related to X-Linked ID (XLID). The JARID1C gene encodes a histone demethylase specific for histone 3 lysine 4 (H3K4), which is indispensable for the epigenetic regulation. As important as the study of JARID1C gene in ID patients is the search for subtelomeric copy number variations (CNVs). Genes related to brain development are enriched in CNVs and subtelomeric regions are particularly susceptible to these rearrangements. In view of this evidence, in this study we investigated JARID1C mutations (exons 3, 4, 5, 8, 10, 14 and 23) among 148 males with ID from families with a segregation pattern suggestive of XLID. In parallel, we analyzed subtelomeric CNVs among 174 males with idiopathic familial ID, regardless of the segregation pattern. For all selected individuals, genomic DNA was extracted from peripheral blood and other frequent genetic causes related to ID were previously excluded (trinucleotide expansions at FRAXA and FRAXE loci and mutations in MECP2 and ARX genes). The JARID1C gene analysis was performed by PCR followed by sequencing analysis of the amplified products. We identified four silent mutations (c.564G>A, c.633G>C, c.1884G>A and c.1902C>A). In silico analysis of exonic splicing enhancers (ESEs) located in the variants positions made possible to classify the variant c.1884G>A as neutral and the remaining variants as potential creators of new ESEs. For the investigation of subtelomeric CNVs, Multiplex Ligation-dependent Probe Amplification (MLPA) methodology was applied to identify microdeletions and microduplications in the 46 subtelomeric regions. For this purpose, individuals were initially investigated by P036 MLPA kit, whereas for those who exhibited abnormalities, the P070 kit was also used. The CNVs validation was performed by quantitative Real Time PCR. The MLPA analysis revealed an individual with two deletions (9p and 13q), an individual with two amplifications (1p and 2p), two individuals with a deletion and amplification (18q and 18p; 4p and 8p), four individuals with a deletion (10p, 20p, 3q and 22q) and two individuals with an amplification (7q and 20p). Some of the changes found (2,87%) represent subtelomeric CNVs of clinical relevance for the study of ID, reinforcing the importance of routine screening of subtelomeric CVNs in cases of familial ID. We believe that the elucidation of novel genes or molecular mechanisms directly related to ID is a promising and urgent way for establishing new possible therapeutic strategies.

Orientador: Prof. Dr. David Corrêa Martins Júnior / Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Ciência da Computação, Santo André, 2018. / As pesquisas em biologia sistêmica caracterizam-se pela interdisciplinaridade, a compreensão com visão ampla sobre as interações ocorridas internamente em organismos biológicos, hereditariedade e a influência de fatores ambientais. Neste cenário, é constituída uma rede complexa de interações na qual seus componentes são de diferentes tipos, como as variações do número de cópias (Copy Number Variation - CNVs), genes, entre outros. As doenças complexas que ocorrem neste contexto normalmente são consequências de perturbações intracelulares e intercelulares em tecidos e órgãos, sendo desenvolvidas de forma multifatorial, ou seja, a causa e o desenvolvimento dessas doenças são fruto de diversos fatores genéticos e ambientais. Nos últimos anos, tem sido produzido um volume bastante elevado de dados biológicos gerados por técnicas de sequenciamento de alto desempenho, requerendo pesquisas que envolvam para uma análise integrada desses dados. As variações do número de cópias (Copy Number Variation - CNVs), ou seja, a variação no número de repetições de subsequências de DNA entre indivíduos, se mostram úteis visto que estão relacionadas com outros tipos de dados como genes e dados de expressão gênica (abundâncias de mRNAs transcritos pelos genes em diferentes contextos). Devido a natureza heterogênea e a imensa quantidade de dados, a análise integrativa é um desafio computacional para o qual abordagens vêm sendo propostas. Neste sentido, nesta dissertação foi proposto um método que realiza a integração de dados (CNVs, dados de expressão gênica, haploinsuficiência, imprint, entre outros) por meio de um processo que permite identificar trechos comuns de CNVs entre amostras de diferentes indivíduos, sejam estas amostras de caso ou de controle e que possuem informações obtidas a partir das integrações feitas. Com este processo, o método aqui proposto diferencia-se dos métodos que realizam integração de dados por meio da análise de sobreposição dos dados biológicos, mas não geram novos dados contendo intervalos de CNVs existentes entre as amostras. O método proposto foi analisado com base no estudo de caso do autismo (Transtornos do Espectro Autista - TEA). O autismo, além de ser considerado uma doença complexa, possui algumas particularidades que dificultam o seu estudo quando comparado a outros tipos de doenças complexas como o câncer, por exemplo. Foram realizados dois experimentos que envolveram dados dos CNVs de indivíduos com TEA (caso) e indivíduos sem este transtorno (controle). Também foi feito um experimento utilizando amostras de CNVs de TEA e amostras de CNVs relacionados a outras doenças do neurodesenvolvimento. Os experimentos envolveram a integração dos tipos de dados propostos. Foi possível identificar trechos de CNVs que estão presentes somente em amostras associadas aos casos e não em controles, ou cenários de trechos de CNVs presentes em amostras de TEA e ausentes nas amostras de outras doenças do neurodesenvolvimento, e vice-versa. Os resultados também refletiram a tendência de indivíduos do gênero masculino serem mais afetados por TEA em relação ao feminino. Foi possível também identificar genes associados e informações como o biotipo e se estão presentes em dados de haploinsuficiência, imprint ou ainda dados de expressão agrupados em regiões e períodos. Finalmente, análises de enriquecimento das listas de genes dos CNVs resultantes do método apontam para diversas vias relacionadas com o TEA, tais como as vias de sinalização do receptor toll-like dependente de TRIF, do ácido gama-aminobutírico (GABA), de transmissão sináptica e secreção neurotransmissora, de recepção da insulina, de percepção sensorial olfativa, e de adesão celular independente de cálcio. / Researches in systems biology are characterized by interdisciplinarity, wide-ranging understanding of interactions within biological organisms, heredity, and the influence of environmental factors. In this scenario, a complex network of interactions is constituted of different types of components, such as CNVs (Copy Number Variations), genes, and others. Complex diseases that occur in this context are usually consequences of intracellular, intercellular, tissue, organ, and multifactorial disorders, i.e., the cause and development of these diseases are the result of various genetic and environmental factors. In recent years, a very large volume of biological data generated by high performance sequencing techniques has been produced, requiring researches involving an integrated analysis of these data. CNVs, i.e., the variation in the number of DNA subsequences between individuals, are useful because they are related to other types of data such as genes and gene expression data (abundances of mRNAs transcribed by genes in different contexts). Due to the heterogeneous nature and the immense amount of data, integrative analysis is a computational challenge for which approaches have been proposed. In this sense, in this dissertation a method was proposed that performs a data integration (CNVs, gene expression data, haploinsufficiency, imprint, among others) through a process that allows to identify common portions of CNVs between samples of different individuals, being these case or control samples and that have information obtained from the integration performed. In this context, the method proposed here differs from the methods that carry out data integration through the analysis of the overlay of the biological data, but does not generate new data containing ranges of CNVs existing between the samples. The proposed method was analyzed on the basis of the case study of Autistic Spectrum Disorder (ASD). Besides being considered a complex disease, TEA has some peculiarities that hinder its study when compared to other types of complex diseases such as cancer, for example. As a case study, two experiments were carried out that involved data from the CNVs of individuals with ASD (case) and individuals without this disorder (control). An experiment was also done using samples of ASD CNVs and CNVs samples related to other neurodevelopmental diseases. The experiments involved the integration of the proposed data types. Among the results, the method identified excerpts of CNVs that are present only in samples associated with the cases and not in controls, or scenarios of CNVs snippets present in TEA samples and not present in other neurodevelopmental disease samples, and vice-versa. The results also reflected the tendency for males to be more affected by TEA compared to the females. In the excerpts of CNVs in certain results, it was possible to identify associated gene informations such as the biotype and whether they are present in Haploinsufficiency, imprint or even expression data grouped in regions and periods. Finally, enrichment analyses involving lists of genes from the resulting CNVs point to several signaling pathways related to TEA, such as TRIF-dependent toll-like receptor signaling, gamma aminobutyric acid (GABA), synaptic transmission and neurotransmitter secretion, insulin reception, olfactory sensorial perception, and calcium independent cell-cell adhesion.

Orientadores: Carmen Silvia Passos Lima, Fernando Ferreira Costa / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas / Made available in DSpace on 2018-08-19T13:59:25Z (GMT). No. of bitstreams: 1 Lourenco_GustavoJacob_D.pdf: 4599367 bytes, checksum: 0a02bc7c2e5acd6b81b6cbb948444b69 (MD5) Previous issue date: 2011 / Resumo: Alterações genéticas herdadas, como os polimorfismos gênicos de base única (SNPs) e as variações no número de cópias do DNA (CNVs), foram associadas com o risco de carcinoma de células escamosas (CEC) de base de língua (BL) em poucos estudos. O CEC de BL é um tumor que determina altas taxas de morbidade e mortalidade, no entanto, sua associação com polimorfismos genéticos não está estabelecida. Frente ao exposto, o objetivo deste estudo foi o de avaliar os papéis de SNPs e CNVs no CEC de BL. O DNA genômico foi obtido de amostras de sangue periférico de 49 pacientes com CEC de BL e de 49 controles. Cada amostra foi analisada por meio de lâminas com microarranjos de DNA contendo 500.568 SNPs e 420.000 CNVs (Affymetrix®). A digestão enzimática do DNA, a ligação de adaptadores, a amplificação, a fragmentação, a marcação, a hibridização, as lavagens e a leitura das intensidades dos sinais das sondas foram realizadas de acordo com instruções do fabricante. Os dados obtidos foram analisados utilizando o programa Bioconductor e o algoritmo crlmm. Para os SNPs, as diferenças entre os grupos foram analisadas por meio da regressão logística múltipla. Para as CNVs, os dados obtidos foram analisados por meio do programa Partek®. Regiões de ganhos ou perdas significativas de DNA foram determinadas pelo algoritmo cbs. Os genes de interesse foram escolhidos por meio do programa DAVID. Nós observamos que a frequência de 6.609 SNPs foi distinta entre pacientes com CEC de BL e controles (P< 0,01). Cinquenta e dois SNPs (0,8%) estiveram localizados nas regiões codificantes do DNA, 51 (0,8%) estiveram nas regiões 3' e 5' não traduzidas, 3.461 estiveram em regiões regulatórias de transcrição e 3.045 em íntrons. Os SNPs considerados de interesse estiveram localizados nos genes relacionados ao ciclo celular (ERP29, MCC e PTCH1), à transcrição (IKBKAP e ZNF415) e à adesão celular (COL22A1, LEF1 e LY6K). Nós identificamos regiões do DNA que apresentaram duplicações em genes relacionados com a proliferação celular (ADAM3A, ADAM5P e DDT), apoptose (FAM90A), mecanismo de defesa (DEFB) e metabolismo de carcinógenos (GSTs). Nós também observamos genes deletados relacionados à apoptose (BLC2) e aos receptores do olfato (ORs). Nossos resultados sugerem que SNPs e CNVs em genes relacionados com a origem e a progressão de tumores podem predispor indivíduos ao CEC de BL. No entanto, esses resultados devem ser validados por genotipagens de número maior de indivíduos e por análises funcionais de proteínas codificadas por alelos distintos de genes polimórficos / Abstract: Inherited genetic alterations, such as single nucleotide polymorphisms (SNPs) and copy number variations (CNVs), were described in association with base of tongue (BT) squamous cell carcinoma (SCC) risk in only few reports. BTSCC are tumours with high morbidity and mortality rates; however, the association of SNPs and CNVs and BTSCC risk is still not clarified and, therefore, this was the aim of the present study. DNA was extracted of the peripheral blood samples of 49 BTSCC patients and 49 controls. Each sample was genotyped using DNA high-resolution microarrays containing 500.568 SNPs and 420.000 CNVs (Affymetrix®). Further sample processing, including digestion, adaptor ligation, amplification, fragmentation, labelling, hybridization, washing and scanning was assayed according to the standard protocol. Genotype data were acquired by genotyping calling of samples using the crlmm algorithm provided by Bioconductor software, as per the recommended guidelines. For SNPs, the differences between groups were analysed by the logistic regression model. For CNVs, the patients' and controls' data files were imported into the Partek® Genomic Suite. Common aberration analysis was performed on all samples to identify genomic intervals that had statistically significant aberrations. Significantly different regions were determined using the segmentation algorithm. For SNPs, we observed 6.609 SNPs with distinct frequencies between BTSCC patients and controls (P< 0.01). Fifty two SNPs (0.8%) were located in coding sequence of amino acids, 51 (0.8%) in 3' and 5' untranslated regions, 3.461 (52.4%) in up or downstream regions and 3.045 (46.0%) in introns. The SNPs were clustered to their main function, evidencing those localized in genes related to cell cycle and apoptosis (ERP29, MCC and PTCH1), transcriptional process (IKBKAP and ZNF415) and cell adhesion and metastasis (COL22A1, LEF1 and LY6K). We also identified a consistent number of altered regions including duplicated genes, such as involved in cell proliferation and angiogenesis (ADAM3A, ADAM5P and DDT), apoptosis (FAM90A), defensins proteins (DEFB) and metabolism of carcinogens (GSTs); and deleted genes, such as in olfactory receptors (ORs) and apoptosis (BCL2). Our preliminary results suggest that SNPs and CNVs in genes involved in tumour origin and progression may predispose individuals to BTSCC. However, these results should be confirmed by functional studies of coded proteins and validated by genotyping in larger epidemiological studies / Doutorado / Biologia Estrutural, Celular, Molecular e do Desenvolvimento / Doutor em Fisiopatologia Medica