Obiettivo
Genetic studies in model organisms and humans, including human genome-wide association studies, have pinpointed genomic regions that contribute susceptibility to common disease. However, to date, these data have provided limited insights into the genes, molecular pathways and mechanisms underlying disease pathophysiology.
The EU FP6 Euratools consortium has been a remarkable success that established significant research collaborations, expertise and infrastructure in the EU, making a major contribution to the rat focus issue of Nature Genetics (Volume 40, May 2008), which featured six papers from the consortium. These successes underpin the current project in which we will use state-of-the-art and emerging large-scale technologies and advanced computation in an expanded multi-disciplinary approach to identify gene networks and genomic mechanisms underlying common diseases. We will use the rat as a model system to identify the major functional pathways underlying human inflammatory, cardiovascular and metabolic, and behavioral disorders.
Our consortium brings together world class investigators who will use next-generation sequencing technologies to generate genomic, transcriptomic and epigenomic datasets. To this, we will add cutting-edge, quantitative metabonomic and proteomic datasets to give significant depth of coverage, at multiple levels, across pathophysiological phenotypes. These datasets will be gathered, annotated and integrated in relational and dynamic models that will be used in comparative analyses to understand human gene function at the level of the molecule, cell, tissue and organism. These studies will lead to new insights into disease mechanisms, through an integrative, cross-disciplinary approach to understanding large-scale functional genomic datasets in rats and humans.
Campo scientifico
Invito a presentare proposte
FP7-HEALTH-2009-two-stage
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Meccanismo di finanziamento
CP-IP - Large-scale integrating projectCoordinatore
13125 Berlin
Germania
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Partecipanti (18)
SW7 2AZ LONDON
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OX1 2JD Oxford
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1011 JV AMSTERDAM
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69117 Heidelberg
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G12 8QQ Glasgow
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EH8 9YL Edinburgh
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17177 Stockholm
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75015 PARIS 15
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142 20 Praha 4
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80539 Munchen
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53226 Milwaukee
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606 8501 Kyoto
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9712CP Groningen
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100 44 Stockholm
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CB2 1TN Cambridge
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75654 Paris
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1165 Kobenhavn
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EC1V 4PY LONDON
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