The study of « -omics » determinants of VEGF in the personalised medicine of chronic diseases

Abstract : The first part of this thesis presents my curriculum. A synthesis of my research activities is developed in the second part along with teaching and administrative activities. In the third part, I am developing my past and current research projects and perspectives within the frames of my position as an INSERM Research Engineer. The research project is based on the vascular endothelial growth factor (VEGF). The general aim of the project is to develop risk prediction algorithms for cardiovascular diseases (CVD) and other chronic diseases based on VEGF “-omics” determinants. Big data from “-omics” assays (genetics, transcriptomics and epigenetic) of VEGF and VEGF-related molecules will be combined with environmental factors and epistatic interactions with other molecules involved in pathophysiological processes common to the assessed diseases. The project will use the resources available in the IGE-PCV; U1122 unit and the VEGF Consortium that is coordinated by the unit (www.vegfconsortium.org ). Resources in population include recognised cohorts (STANISLAS Family Study, Framingham Heart Study, Cilento study, LifeLines, ORIGIN), case-controls populations, large populations from biobanks (BRC IGE-PCV, BBMRI-ERIC and UK Biobank) and collaborations with other consortia such as CHARGE, METASTROKE and MEGASTROKE, for which the desired “-omics” data are available. The “Omics_BioBook” platform will be used for data storage and analyses. This work will lead to clinically applicable risk prediction tools for CVD and other chronic diseases.
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Maria Stathopoulou. The study of « -omics » determinants of VEGF in the personalised medicine of chronic diseases. Populations and Evolution [q-bio.PE]. Université de Lorraine, 2019. ⟨tel-02360018⟩

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