DNA methylation, cardiovascular risk and myocardial infarction : an epigenome-wide approach
Cardiovascular diseases are a major challenge for public health. DNA methylation is a mechanism regulating gene expression, and it is linked to complex diseases and related traits. Therefore, it is a potential source of biomarkers of cardiovascular risk. We have tackled the associations of DNA methy...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/668498 |
| Acceso en línea: | http://hdl.handle.net/10803/668498 |
| Access Level: | acceso abierto |
| Palabra clave: | DNA methylation Epigenomics Cardiovascular risk Cardiovascular disease Observational studies Metilación del ADN Epigenòmica Riesgo cardiovascular Enfermedad cardiovascular Estudios observacionales 616.1 |
| Sumario: | Cardiovascular diseases are a major challenge for public health. DNA methylation is a mechanism regulating gene expression, and it is linked to complex diseases and related traits. Therefore, it is a potential source of biomarkers of cardiovascular risk. We have tackled the associations of DNA methylation with cardiovascular diseases and related traits in population-based observational studies. We analysed the association between this mechanism in peripheral blood cells and both cardiovascular disease related exposures and outcomes, and further investigated the clinical relevance of some of those findings. For this purpose, we conducted epigenome-wide and candidate loci association studies, evaluated their predictive value for future cardiovascular risk and used Mendelian Randomisation to infer causality. We used three cohorts: REgistre GIroní del COR, Framingham Offspring Study and Women’s Health Initiative. As a general conclusion, DNA methylation is associated with cardiovascular disease related traits and outcomes, although its role in the underlying biological networks is complex and remains to be explored in further studies. |
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