Characterization of simple and complex genomic structural variation : a study of human populations and leukaemia
Over the last ten years, improvements in molecular techniques and the arrival of the next-generation sequencing technologies have revealed a large amount of structural variation (SV) in the human genome. Consequently, there has been a significant increase in interest from the scientific community to...
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| Formato: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | España |
| Recursos: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/123575 |
| Acesso em linha: | http://hdl.handle.net/10803/123575 |
| Access Level: | acceso abierto |
| Palavra-chave: | Genomics Genòmica Structural Variation Variació Estructural Next-generation sequencing Seqüenciació de nova generació Human populations Poblacions humanes Cancer Càncer Leukaemia Leucèmia Computational tools Eines computacionals 575 |
| Resumo: | Over the last ten years, improvements in molecular techniques and the arrival of the next-generation sequencing technologies have revealed a large amount of structural variation (SV) in the human genome. Consequently, there has been a significant increase in interest from the scientific community to understand the role of the SV in diseases, such as cancer, or in determining phenotypic traits in the general population. The objective of this thesis has been to study in depth the characterization and the functional importance of the SV, through the analysis of different methods for its detection and its biological impact in two different contexts. First, we have analysed the presence of copy-number variants in several human populations using a microarray approach and, by validating one of the detected regions, we have confirmed the reliability of this method for the detection of this type of SV. Second, through the chronic lymphocytic leukaemia (CLL) genome project, we have identified structural variants in patients with CLL by whole-genome sequencing. To obtain a comprehensive analysis of the SV in cancer genomes, we have developed a computational tool with the capacity to characterize and define all forms of the SV using next-generation sequencing data. With this tool we have detected, on one hand, some novel variants in CLL and, on the other hand, a high level of genomic complexity in one of the patients studied. From this last case, we have carried out the evaluation of the phenotypic impact of the complex variants in the progression of the CLL, which has allowed us to determine the importance of analysing cancer as a dynamic process undergoing evolutionary changes over time |
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