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Title: | Análisis integrativo de datos ómicos y datos clínicos: Predicción de variables clínicas a partir de datos de expresión génica en pacientes con Enfermedad Pulmonar Obstructiva Crónica |
Author: | Suárez Cuartín, Guillermo Rafael |
Tutor: | Sánchez-Pla, Alex |
Abstract: | The integrative analysis of clinical and omic data can increase the prediction power that both have separately, which would help a better understanding of multiple diseases. This study aims to use this analysis as a tool for the prediction of clinical variables of severity of chronic obstructive pulmonary disease (COPD). A real data set of patients with COPD was selected (GEO repository: GSE42057), and a literatura review of the main methods for integrative analysis was performed. Clinical and omic information was analyzed separately with principal component analysis (PCA), and a model was constructed by sparse partial least squares regression (sPLS) to predict clinical variables. The evaluation of the model was carried out through cross validation. The analysis of differentially expressed genes between patients with severe COPD and controls detected the participation of biological pathways such as hematopoietic cell differentiation, cytokine-receptor interaction and primary immunodeficiencies. The PCA identified that the first principal component explained the highest percentage of the variance (79% of clinical data, 57% of omic data). Afterwards, the model was constructed with sPLS, obtaining a coefficient Q2> 0.0975 for the first principal component. The integrative analysis of clinical and omic data has a wide potential for the study of COPD. It can be a useful approach to make predictions of clinical variables such as FEV1 / FVC ratio, FEV1 and walking distance in the 6-minute walk test, from a set of gene expression data. |
Keywords: | omics genomics proteomics metabolomics interactomics clinical data big data |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jun-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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gsuarezcuartinTFM0619memoria.pdf | Trabajo final de Máster de Guillermo Suárez Cuartín | 2,4 MB | Adobe PDF | View/Open |
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