Project description
Challenging the limitations of classical risk factor approaches
Cardiovascular disease (CVD) remains a major global health challenge, and understanding its intricate underlying mechanisms has proven elusive. However, recent developments in the field of epigenetics and the use of Big Data have opened up exciting possibilities for uncovering critical insights. Specifically, epigenetic mechanisms involving changes in DNA methylation have been implicated in the regulation of biological processes linked to CVD development. With the support of the Marie Skłodowska-Curie Actions programme, the EpiBigDatainWomen project aims to leverage the power of Big Data analytics to bridge the gap between environmental and lifestyle factors and CVD in women. By integrating vast amounts of individualised data with cutting-edge data science techniques, researchers hope to revolutionise CVD prediction and prevention strategies.
Objective
Epigenetic mechanisms might be involved in linking environmental and lifestyle factors and CVD development. Several studies suggest that changes in DNA methylation contribute to the regulation of biological processes underlying CVD, such as atherosclerosis, hypertension and inflammation. The recent increased digitalization, collection and storage of vast quantities of data in combination with advances in data science, has opened up a new era of big data. Although these approaches are gradually implemented in a number of clinical settings, they still lack the integration with environmental individual data, strongly affecting several multifactorial diseases such as cardiovascular disease (CVD). Classical risk factor approaches still fail in correctly estimating CVD risk in women compared to men, therefore there is a need for novel strategies to identify signs of reversible early disease or disease risk factors in this population.
We plan to generate and analyse epigenetic data in the context of a very large number of environmental and lifestyle variables (big data) in a group of women and men with traditional CVD risk factors (and age-matched controls) selected from the MOLI-SANI cohort. With this approach we hope to shed light into the controversial aspects of CVD prediction and prevention in women, independently of traditional CV risk factors.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences genetics DNA
- natural sciences computer and information sciences data science big data
- medical and health sciences clinical medicine cardiology cardiovascular diseases arteriosclerosis
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-SE - Society and Enterprise panel
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
86077 POZZILLI IS
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.