Objective
Comprehensive understanding of the molecular mechanisms that underlie incurable complex diseases is essential for opening new avenues for treatment. In an effort to elucidate their mechanisms, complex diseases are increasingly studied using state-of-the-art high-throughput assays, including genome-wide association studies (GWAS) and mRNA profiling. However, each assay enables only a limited understanding of disease processes. GWAS typically identify many genomic loci whose relation to the disease was previously unknown, but do not reveal the loci’s mode of action. Likewise, mRNA profiling identify transcriptional changes that occur in disease, but do not reveal the cellular pathways leading to them. Integrative analysis of these valuable data has a great potential to reveal a much broader view of disease processes. I propose a novel network-based framework that infers disease pathways by relating the results of GWAS and mRNA profiling assays through known molecular interactions. Application of this approach to data of Parkinson disease will provide a novel functional view into the disease processes and facilitate the generation of hypotheses, which will be tested in silico and in vitro in collaboration with disease experts. The project aims are: 1. Create a probabilistic network model of the human interactome. 2. Develop network-optimization algorithms to distill and integrate disease data. 3. Identify new cellular pathways related to Parkinson disease. 4. Validate experimentally these new findings. This line of research became feasible owing to recent accumulation of large-scale disease data and relies on my extensive research experience in network biology. The computational framework may be applied to other complex diseases and can serve as a basis for fruitful collaborations with disease experts and pharmaceutical companies. The IRG award will help me obtain a permanent position at Ben Gurion University and will facilitate knowledge transfer to the EU.
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.
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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-2009-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
84105 Beer Sheva
Israel
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.