Objective
Following the recent explosion of GWAS publications, we now have a much better grasp of the common genetic basis of many human complex traits. This dramatic development of genotyping and analytic technologies has allowed to characterize many novel variants associated with human disease. Nevertheless, the identification of these disease-associated loci hasn’t yet translated into a better understanding of the exact nature of the defects causing the pathologic manifestations. In the current research project, we propose to assess the physiological role of the risk variants on relevant phenotypes to identify functional the causal genes associated with type 1 diabetes (T1D) pathogenesis. To address this issue, we will develop highly sensitive and reproducible assays to measure the impact of the different genotypes on the selected phenotypes. By using this quantitative approach, we expect not only to be able to reduce the complexity inherent to the disease phenotype, but also to have the power and sensitivity to detect the important but quantitative physiological effects of common susceptibility alleles of low phenotypic penetrance.
In this study we will develop highly sensitive molecular assays, and will take advantage of the core flow cytometry facilities to characterize the cell surface, cytokine production and signaling profile of immune subsets in individuals carrying specific risk alleles. Importantly, we will take advantage of our core genotyping and clinical databases to assess the impact of disease-associated genotypes on these quantitative phenotypes. By integrating the phenotyping data with a high throughput genotyping database in a large sample of individuals, we expect to translate the current knowledge of the genetic risk, into a more physiologically relevant context, in order to narrow down on the actual causal genes contributing to the etiology of human diseases.
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 computer and information sciences databases
- medical and health sciences clinical medicine endocrinology diabetes
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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.
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.
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.
FP7-PEOPLE-2010-RG
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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.
Coordinator
CB2 1TN CAMBRIDGE
United Kingdom
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.