The study of variation found in DNA is fundamental in human genetic studies. Single nucleotide polymorphisms (SNPs) are simple to document because they can be captured in single DNA sequence reads. Larger structural variation including duplications, insertions, deletions, termed as copy number variation (CNV), inversions and translocations are more challenging to discover. Recent studies using microarray and sequencing technologies have demonstrated the prevalence of structural variation in humans. They can disrupt genic and regulatory sequences, be associated with disease, and fuel evolution. Therefore, it is important to identify and characterize both SNPs and structural variants to fully understand their impact. This thesis presents the analysis of structural variation in the human genome. The primary DNA sample used for my experiments is the DNA of J. Craig Venter, also termed HuRef. It was the first personal human genome sequenced. I combined computational re-analysis of sequence data with microarray-based analysis, and detected 12,178 structural variants covering 40.6 Mb that were not reported in the initial sequencing study. The results indicated that the genomes of two individuals differed 1.3% by CNV, 0.3% by inversion and 0.1% by SNP. Structural variation discovery is dependent on the strategy used. No single approach can readily capture all types of variation, and a combination of strategies is required. I analyzed the formation mechanisms of all HuRef structural variants. The results showed that the relative proportion of mutational processes changed across size range: the majority of small variants (<1kb) were associated with nonhomologous processes and microsatellite events; median size variants (<10kb) were commonly related to minisatellites and retrotransposons; and large variants were associated with nonallelic homologous recombination. Eight new breakpoint-resolved HuRef inversions were genotyped in populations to elucidate these understudied variants. I discovered that the structures of inversion could be complex, could create conjoined genes, and their frequencies could exhibit population differentiation. The data here contributes to our understanding of structural variation in humans. It shows the need to use multiple strategies to identify variants, and it emphasizes the importance to examine the full complement of variation in all biomedical studies.

A neoplasia endócrina múltipla tipo 1 (NEM1) é uma doença genética, de herança autossômica dominante, caracterizada pelo desenvolvimento de tumores endócrinos acometendo, principalmente, hipófise, paratireoide e pâncreas/duodeno endócrinos. É causada, principalmente, por mutação germinativa no gene supressor tumoral MEN1 (11q13). A tumorigênese segue o modelo de Knudson (1971). O diagnóstico genético de famílias com NEM1 reconhece os portadores assintomáticos de mutação MEN1, permite o diagnóstico e tratamento precoce de tumores, promove a redução da morbimortalidade relacionada à NEM1 e exclui familiares não portadores de mutação do rastreamento clínico periódico. O diagnóstico genético de NEM1 tem sido realizado por meio da técnica de sequenciamento Sanger. Entretanto, limitações desta técnica a tornam menos custo efetiva, devido a sua reduzida capacidade de geração de dados, que leva a necessidade de obtenção de produtos de PCR de até 700 pb para adequada leitura do sequenciamento. Além disto, condições específicas do gene MEN1, como a ausência de \"hot spots\" mutacionais, levam a necessidade de sequenciamento de toda sua extensão (7Kb) e contribuem para tornar esta técnica laboriosa e dispendiosa. A subdivisão do gene para sequenciamento Sanger pode ocultar informações, principalmente de regiões intrônicas, que podem ser importantes para o desenvolvimento da doença. Tais dificuldades impedem a incorporação do diagnóstico gênico de NEM1 na prática clínica. Desde 2005, estão disponíveis tecnologias denominadas NGS (Next- Generation Sequencing), que consistem em ferramentas para o sequenciamento genético com capacidade aumentada de geração de dados, tornando-as mais atrativas e de melhor custo-benefício. O NGS confere, ainda, maior velocidade ao processo de obtenção de dados e detém a capacidade de realizar a leitura completa do gene, incluindo regiões promotoras e intrônicas. Por isto, torna a leitura mais ampla e informativa, sem desconsiderar aspectos qualitativos. Dentre várias opções de NGS disponíveis, plataformas leves são consideradas mais adequadas para aplicação clínica, destacando-se as plataformas Ion PGM e Illumina MiSeq. Uma forte tendência tem sido mostrada de migração do sequenciamento Sanger para o NGS, incluindo a aplicação da mesma em diagnóstico genético de doenças complexas e de câncer hereditário. Entretanto, não há estudos prévios envolvendo NGS em NEM1. Diante disto, foi avaliado a qualidade desta técnica como método de diagnóstico genético em NEM1 em comparação ao sequenciamento Sanger. Objetivos: validação da técnica de NGS utilizando como parâmetro o sequenciamento Sanger; avaliação da sensibilidade, especificidade e relação custo-benefício do NGS. Para tal, foram analisados 76 casos-índices com diagnóstico clínico de NEM1 na plataforma Illumina MiSeq. As análises foram subdivididas em duas fases. O enriquecimento da região genômica do gene MEN1 foi realizado por meio de PCR longa. Com base nos dados obtidos foi possível aferir 96% de reprodutibilidade entre as diferentes fases do estudo e aproximadamente 99% de precisão para detecção de variantes. Exatidão, sensibilidade e especificidade resultaram em 100%. Não houve falsos-positivos ou negativos. A técnica de NGS também se mostrou mais custo-efetiva do que o sequenciamento Sanger. Este estudo permitiu validar e introduzir esta técnica como ferramenta de diagnóstico gênico de NEM1 para rastreamento genético de casos-índices / The multiple endocrine neoplasia type 1 (MEN1) is a genetic, autossomic and dominant disease and is correlated with the development of endocrine tumors affecting pituitary gland, parathyroid, endocrine pancreas or duodenum. It is mainly caused by a germinative mutation in tumor suppressor gene MEN1 (11q13). The tumorigenesis follow the Knudson\'s model (1971). Genetic diagnosis of families with MEN1 is essential to recognizes asymptomatic mutation carriers, and allows an earlier detection and treatment of tumors leading to a reduction of mortality and morbidity associated to MEN1. Furthermore, it can exclude family members that do not carry mutations from the periodical screening. The genetic diagnosis for MEN1 is held using Sanger sequencing. However, limitations of this technique make it less cost-effective, mostly, the less capacity of data generation that leads to the need of PCR products up to 700 bp to obtain a suitable read. Moreover, specific conditions of the MEN1 gene contributes to make this process more laborious and expensive, like the need to read all gene sequence (7kb) to make a correct analysis due to the absence of \"hot spots\". This way, the need of \"fragmentation\" to allow the sequencing can hide important information to disease development, mostly in introns. These limitations preclude the clinical application of genetic diagnosis of MEN1. Since 2005, new technologies are available; they are called Next Generation Sequencing (NGS) and consist in a new tool that allow the same sequencing, but with a larger data generation capacity, making them more attractive and costeffective. The NGS also gives a higher speed to the process of data acquiring and allows the complete read of gene, including promoters and introns. Therefore, it makes the results more informative, not forgetting quality aspects. Among lot of options of NGS available, lighter platforms are recommended, for example, Ion PGM and Illumina MiSeq. A strong tendency has been shown in order to change the Sanger sequencing to NGS, including clinical application to genetic diagnosis of complex diseases and inherited cancer. However, there is not previous studies evaluating NGS to MEN1 genetic diagnosis. Thus, present study evaluated NGS as a genetic diagnosis method for MEN1, comparing with Sanger sequencing. This study aimed to validate the NGS method using as model the Sanger sequencing and evaluated sensibility, specificity and costeffectiveness of NGS. For this purpose, 76 index-cases with clinical MEN1 diagnosis were analyzed on Illumina MiSeq. Analyzes were divided in two phases. After analyzes, 96% of reproducibility and 99% of precision were calculated. Accuracy, sensibility and specificity were resulted in 100%. There were not falses negatives or positives. NGS showed more cost-effectiveness with lower costs. This study allowed validation of genetic screening of MEN1 indexcases applying NGS platform

Copy number variation detection in prokaryotic organisms is currently receiving more and more attention, mainly due to the association of CNV with pathogenicity and antibiotic resistance in bacteria. The algorithm designed in this thesis uses peak detection in sequencing coverage to detect CNV segments. Read coverage is commonly obtained by mapping sequencing reads of one individual to an already known reference of another individual of the same species. However, two individuals will always differ in a certain number of genes, resulting in unmapped reads that are unnecessarily discarded. Therefore, this work assumes that the biological accuracy of CNV detection can be increased by using a new reference that is created from the same set of reads as the reads mapped to this reference. Sequencing reads of Klebsiella pneumoniae individuals are used to verify this assertion.

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Studying genetic diversity in natural and domestic populations is of major importance in evolutionary biology. The recent advent of next generation sequencing (NGS) technologies has dramatically changed the scope of these studies, enabling researchers to study genetic diversity in a whole-genome context. This thesis details examples of studies using NGS data to: (i) characterize evolutionary forces shaping the genome of the Atlantic herring, (ii) detect the genetic basis of speciation and domestication in the rabbit, and, (iii) identify mutations associated with skeletal atavism in Shetland ponies. The Atlantic herring (Clupea harengus) is the most abundant teleost species inhabiting the North Atlantic. Herring has seasonal reproduction and is adapted to a wide range of salinity (3-35‰) throughout the Baltic Sea and Atlantic Ocean. By using NGS data and whole-genome screening of 20 populations, we revealed the underlying genetic architecture for both adaptive features. Our results demonstrated that differentiated genomic regions have evolved by natural selection and genetic drift has played a subordinate role. The European rabbit (Oryctolagus cuniculus) is native to the Iberian Peninsula, where two rabbit subspecies with partial reproductive isolation have evolved. We performed whole genome sequencing to characterize regions of reduced introgression. Our results suggest key role of gene regulation in triggering genetic incompatibilities in the early stages of reproductive isolation. Moreover, we studied gene expression in testis and found misregulation of many genes in backcross progenies that often show impaired male fertility. We also scanned whole genome of wild and domestic populations and identified differentiated regions that were enriched for non-coding conserved elements. Our results indicated that selection has acted on standing genetic variation, particularly targeting genes expressed in the central nervous system. This finding is consistent with the tame behavior present in domestic rabbits, which allows them to survive and reproduce under the stressful non-natural rearing conditions provided by humans. In Shetland ponies, abnormally developed ulnae and fibulae characterize a skeletal deformity known as skeletal atavism. To explore the genetic basis of this disease, we scanned the genome using whole genome resequencing data. We identified two partially overlapping large deletions in the pseudoautosomal region (PAR) of the sex chromosomes that remove the entire coding sequence of the SHOX gene and part of CRLF2 gene. Based on this finding, we developed a diagnostic test that can be used as a tool to eradicate this inherited disease in horses.

Rearranjos genômicos são alterações estruturais na molécula de DNA e podem ser a causa de inúmeras doenças genéticas. O mecanismo gerador dessas alterações é bem variável. Ele pode ser recorrente, por intermédio de low copy repeats (LCRs), resultando num rearranjo causado por recombinação homóloga não-alélica (NAHR), ou não recorrente, ou seja, sem intermédio de um hotspot. Dentre os mecanismo não recorrentes temos: a junção das extremidades não-homólogas (NHEJ - non-homologous end joining) e a junção mediada por micro-homologia (MMEJ - microhomology-mediated end joining), a replicação em série por deslizamento (SRS), a SRS induzida por quebra (BISRS), a replicação induzida pela quebra de DNA por homologia (MMBIR - microhomology-mediated break induced replication), o enrolamento da forquilha de replicação e mudança de molde de DNA (FoSTeS - fork stalling and template switching). A análise dos pontos de quebra dos rearranjos genômicos pode fornecer informações importantes para uma maior compreensão da arquitetura genômica e seu papel na geração das anormalidades estruturais. O objetivo deste trabalho foi sequenciar os pontos de quebra genômicos a fim de identificar o mecanismo formador das alterações encontradas. Para isso, investigamos o panorama estrutural de 10 pacientes por sequenciamento por meio de linked reads (10X Genomics) e sequenciamos os pontos de quebra previamente identificados por array CytoSNP-12 (Illumina) de 12 pacientes com rearranjos genômicos estruturais por utilizando a captura por Nextera Rapid Capture (Illumina). A investigação por linked reads revelou rearranjos estruturais em 5 pacientes, destacando translocações encontradas em dois pacientes, impossíveis de serem detectadas por metodologias de sequenciamento que não envolva long reads. Foi possível sugerir os mecanismos causadores dessas alterações como NHEJ. O sequenciamento após a captura por Nextera foi capaz de identificar elementos que permitiram definir o mecanismo em três pacientes (NAHR E FoSTeS/MMBIR) e sugerir em mais dois pacientes (NHEJ). Com a estratégia utilizada foi possível sequenciar pontos de quebra por meio do flanqueamento das regiões identificadas por array, identificar os elementos genômicos presentes nos pontos de quebra e os mecanismos formadores dessas alterações / Genomic rearrangements are structural changes in the DNA molecule and can be the cause of numerous genetic diseases. The mechanisms that generate these alterations can occur in different ways. It can be recurrent, mediated by low copy repeats (LCRs), resulting in a rearrangement cause by non-alellic homologue recombination (NAHR), or non-recurrent, without a hotspot. Among non-recurrent mechanisms there are: non-homologous end joining (NHEJ), microhomology-mediated end joining (MMEJ), serial replication slippage (SRS), break-induced serial replication slippage (BISRS), microhomology-mediated break induced replication (MMBIR) and fork stalling and template switching (FoSTeS). Analysis of the breakpoints of genomic rearrangements may provide important information for a better understanding of genomic architecture and its role in generating structural abnormalities. The aim of this work was to sequence the genomic breakpoints in order to identify the mechanism that formed the alterations found. To do this, we investigated the genomic structure of 10 patients by linked reads (10X Genomics) sequencing and sequenced the breakpoints previously identified by Illumina CytoSNP-12 array of 12 patients with structural genomic imbalances by using Nextera Rapid Capture (Illumina). The research by linked reads revealed structural rearrangements in 5 patients, highlighting translocations found in two patients, impossible to be detected by sequencing methodologies that did not involve long reads. It was possible to suggest the mechanisms causing these changes as NHEJ. The sequencing after capture by Nextera was able to identify elements that allowed us to determine the formation mechanism in three patients (NAHR and FoSTeS / MMBIR) and to suggest in two patients (NHEJ). With the approach employed here, it was possible to sequencing breakpoints by flanking the regions identified by array, identifying the genomic elements present at breakpoints and the formation mechanisms of the alterations