CARDIOPREVENT

INTEGRATION OF GENOMICS AND CARDIOMETABOLIC PLASMA BIOMARKERS FOR IMPROVED PREDICTION AND PRIMARY PREVENTION OF CARDIOVASCULAR DISEASE

 Coordinatore LUNDS UNIVERSITET 

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 Nazionalità Coordinatore Sweden [SE]
 Totale costo 1˙500˙000 €
 EC contributo 1˙500˙000 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2011-StG_20101109
 Funding Scheme ERC-SG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-12-01   -   2016-11-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)

 Organization address address: 101 Rue de Tolbiac
city: PARIS
postcode: 75654

contact info
Titolo: Dr.
Nome: Sylviane
Cognome: Inocencio
Email: send email
Telefono: +33 1 480 73 391
Fax: +33 1 480 73 432

FR (PARIS) beneficiary 150˙000.00
2    LUNDS UNIVERSITET

 Organization address address: Paradisgatan 5c
city: LUND
postcode: 22100

contact info
Titolo: Prof.
Nome: Lennart
Cognome: Råstam
Email: send email
Telefono: 4640391377
Fax: 4640391370

SE (LUND) hostInstitution 1˙350˙000.00
3    LUNDS UNIVERSITET

 Organization address address: Paradisgatan 5c
city: LUND
postcode: 22100

contact info
Titolo: Prof.
Nome: Olle Sten
Cognome: Melander
Email: send email
Telefono: 4640391209
Fax: 460391222

SE (LUND) hostInstitution 1˙350˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

individuals    score    gene    life    mechanisms    subproject    variants    plasma    incident    style    intake    metabolism    metabolome    vp    alleles    risk    affected    mi    controls    myocardial    cvd    genetic    rats   

 Obiettivo del progetto (Objective)

'By taking advantage of great experience in genetic and cardiovascular epidemiology and some of the largest cohorts in the world including 60 000 unique individuals, the applicant aims at (1) improving CVD risk prediction and (2) identifying mechanisms causally related to CVD development in order to provide novel targets for drug discovery and targeted life style interventions for use in primary prevention. In SUBPROJECT 1 we aim at identifying disease causing alleles of loci implicated in CVD by Genome Wide Association Studies (GWAS) and to identify rare alleles with large impact on human CVD. We thus perform whole exome and targeted sequencing in early CVD cases and healthy controls and evaluate all identified variants by relating them to incident CVD in 60.000 individuals. Further, we will create a score of all validated CVD gene variants and test whether such a score improves clinical risk assessment over and above traditional risk factors. In SUBPROJECT 2 we test whether the plasma metabolome- a phenotype representing the product of dietary intake and inherent (e.g. genetic) metabolism- differs between incident CVD cases and controls and between individuals with high and low CVD genetic risk. We further test whether a life style intervention differentially alters the plasma metabolome between individuals with high and low CVD genetic risk. Finally, we will elucidate the mechanisms underlying CVD genetic associations by testing whether myocardial expression of such genes are affected by experimental myocardial infarction (MI) and whether heart function, MI size and the plasma metabolome are affected by adenoviral myocardial CVD gene transfer in rats. In SUBPROJECT 3 we test whether glucose metabolism and CVD risk factors can be ameliorated by suppressing vasopressin (VP) by increased water intake in humans. Finally, we test which of the 3 VP receptors is responsible for adverse glucometabolic VP effects in rats by specific VP receptor pharmacological studies.'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

FORCEMAP (2008)

Intramolecular force mapping of enzymes in action: the role of strain in motor mechanisms

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DIDYMUS (2014)

"MICROMACHINED OPTOMECHANICAL DEVICES: looking at cells, tissues, and organs ... with a gentle touch."

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EDITCRC (2014)

A genome editing-based approach to study the stem cell hierarchy of human colorectal cancers

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