Obiettivo
The aim of EU-GEI is to identify the interactive genetic, clinical and environmental determinants involved in the development, severity and outcome of schizophrenia (EU-GEI, Schiz. Res. 2008; 102: 21-6). In order to identify these interactive determinants, EU-GEI will employ family-based, multidisciplinary research paradigms, which allow for the efficient assessment of gene-environment interactions. In order to go beyond old findings from historical convenience cohorts with crude measures of environmental factors and clinical outcomes, the focus in EU-GEI will be on recruitment of new, family-based clinical samples with state-of-the-art assessments of environmental, clinical and genetic determinants as well as their underlying neural and behavioural mechanisms. New statistical tools will be developed to combine the latest multilevel epidemiological with the latest genome-wide genetic approaches to analysis. Translation of results to clinical practice will be facilitated by additional experimental research and risk assessment bioinformatics approaches. This will result in the identification of modifiable biological and cognitive mechanisms underlying gene-environment interactions and the construction of Risk Assessment Charts and Momentary Assessment Technology tools which can be used for (i) early prediction of transition to psychotic disorder in help-seeking individuals with an at-risk mental state and (ii) early prediction of course and outcome after illness onset. In order to reach these goals, EU-GEI has assembled a multidisciplinary team of top schizophrenia researchers who have the range of skills required to deliver a program of research that meets all the call’s requirements and who have access to / will collect a number of unique European samples. The partners in EU-GEI represent the nationally funded schizophrenia / mental health networks of the UK, Netherlands, France, Spain, Turkey and Germany as well as other partners.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
Argomento(i)
Invito a presentare proposte
FP7-HEALTH-2009-single-stage
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Meccanismo di finanziamento
CP-IP - Large-scale integrating projectCoordinatore
6200 MD Maastricht
Paesi Bassi
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Partecipanti (25)
WC2R 2LS London
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CF24 0DE Cardiff
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68159 Mannheim
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06100 Tandogan Ankara
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28046 MADRID
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1105AZ Amsterdam
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75654 Paris
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3000 Leuven
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15601 Athina
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1090 Wien
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4051 Basel
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50937 Koeln
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28037 MADRID
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5656 AE Eindhoven
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6225CM Maastricht
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06800 Ankara
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6135LH SITTARD
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Pokfulam
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48940 Leioa
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CB2 1TN Cambridge
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2 Dublin
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80539 MUNCHEN
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40126 Bologna
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90133 Palermo
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3010 Melbourne
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