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EnDeCAD SIGNED

Enhancers Decoding the Mechanisms Underlying CAD Risk

Total Cost €

0

EC-Contrib. €

0

Partnership

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 EnDeCAD project word cloud

Explore the words cloud of the EnDeCAD project. It provides you a very rough idea of what is the project "EnDeCAD" about.

basis    genetic    variants    collection    mechanisms    breakthrough    pioneering    treatment    association    coronary    snps    discoveries    combination    provides    link    gene    function    deep    noncoding    expression    physical    snp    discovered    metabolomics    genome    types    gwas    significantly    hundreds    loci    parallel    molecular    progression    adipocytes    artery    genes    date    causal    biological    data    driving    single    regions    candidate    roles    massively    biomarker    functional    cell    vast    strives    understand    explained    small    complete    ultimately    fundamental    majority    enhancers    linking    heritability    disease    enhancer    prediction    nucleotide    obtain    cardiovascular    stimuli    cad    additionally    macrophages    interaction    clinical    translatable    picture    smooth    muscle    trait    vessel    endothelial    correlative    regulatory    events    establishment    linked    hope    characterization    relationships    cells    search    identification    phenotypic    hepatocytes    wall    lying    eqtl    polymorphisms    array    portion    risk   

Project "EnDeCAD" data sheet

The following table provides information about the project.

Coordinator
ITA-SUOMEN YLIOPISTO 

Organization address
address: YLIOPISTONRANTA 1 E
city: KUOPIO
postcode: 70211
website: www.uef.fi

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Finland [FI]
 Total cost 1˙498˙647 €
 EC max contribution 1˙498˙647 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ITA-SUOMEN YLIOPISTO FI (KUOPIO) coordinator 1˙498˙647.00

Map

 Project objective

In recent years, genome-wide association studies (GWAS) have discovered hundreds of single nucleotide polymorphisms (SNPs) which are significantly associated with coronary artery disease (CAD). However, the SNPs identified by GWAS explain typically only small portion of the trait heritability and vast majority of variants do not have known biological roles. This is explained by variants lying within noncoding regions such as in cell type specific enhancers and additionally ‘the lead SNP’ identified in GWAS may not be the ‘the causal SNP’ but only linked with a trait associated SNP. Therefore, a major priority for understanding disease mechanisms is to understand at the molecular level the function of each CAD loci. In this study we aim to bring the functional characterization of SNPs associated with CAD risk to date by focusing our search for causal SNPs to enhancers of disease relevant cell types, namely endothelial cells, macrophages and smooth muscle cells of the vessel wall, hepatocytes and adipocytes. By combination of massively parallel enhancer activity measurements, collection of novel eQTL data throughout cell types under disease relevant stimuli, identification of the target genes in physical interaction with the candidate enhancers and establishment of correlative relationships between enhancer activity and gene expression we hope to identify causal enhancer variants and link them with target genes to obtain a more complete picture of the gene regulatory events driving disease progression and the genetic basis of CAD. Linking these findings with our deep phenotypic data for cardiovascular risk factors, gene expression and metabolomics has the potential to improve risk prediction, biomarker identification and treatment selection in clinical practice. Ultimately, this research strives for fundamental discoveries and breakthrough that advance our knowledge of CAD and provides pioneering steps towards taking the growing array of GWAS for translatable results.

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The information about "ENDECAD" are provided by the European Opendata Portal: CORDIS opendata.

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