Objective
Epidemiologists, clinical trialists and experimental scientists are confronted with a wealth of potential opportunities for molecular phenotyping large numbers of biological samples obtained from cohorts, patients or animal models. The challenge now is to ensure that these tools are developed to permit high-throughput analyses of significant numbers of samples, cohort protocols are in place for sample collection and storage, and that systems are in place to capture, warehouse and analyse the range of biolog ical data that will emerge from these studies. This consortium will bring some of these tools into practice during the course of the next four years so that they can be used to identify biomarkers that predict disease, determine risk and relate to disease activity or response to therapy. The programme is divided into three parts: 1. The evaluation of sample collection and storage methodology to optimally sample variation and disease analyte stability. 2. The development of tools for molecular phenotyping at epidemiologic scale including measuring small molecules (metabonomics), mRNA in white blood cells (transcription profiling, protein and peptide analysis using mass spectrometry methodology, affinity arrays and tissue arrays, DNA methdylation patterns and genetics. 3. The development of bioinformatic tools for data warehousing, data interrogation and statistical analysis in large sample sets. 4. The consortium will adopt two separate approaches (i) genome wide, systematic methodology (metabonomics, ms based metanomics) and (ii) limited analysis using sets of candidate biomarkers (transcipt profiling, methylation, affinity arrays, tissue arrays) Collectively, these programmes bring together the necessary skills and tools to allow moleculear phenotyping to be realistically applied, informing our study of common disease and its treatment.
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
- medical and health sciences health sciences public health epidemiology
- natural sciences biological sciences biochemistry biomolecules proteins
- natural sciences chemical sciences analytical chemistry mass spectrometry
- natural sciences biological sciences genetics genomes
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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.
FP6-2003-LIFESCIHEALTH-I
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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
OXFORD
United Kingdom
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Participants (20)
BROMMA
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HANNOVER
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PRAGUE
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PARIS
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EVRY
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MÜNCHEN
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BERLIN
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HIEDELBERG
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BASEL
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LONDON
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UPPSALA
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LONDON
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PARIS
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RIGA
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LONDON
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STOCKHOLM
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BAGSVAERD
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YARNTON, OXFORD
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PAVIA
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UPPSALA
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