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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.

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

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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