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CODer SIGNED

The molecular basis and genetic control of local gene co-expression and its impact in human disease

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 CODer project word cloud

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

regions    pursued    profiles    makeup    datasets    forming    loci    tissues    53    inference    characterisation    shared    clarify    cutting    promises    qtls    person    120    regulation    cod    interpretation    revealing    dataset    genetic    shapes    causality    variant    intrinsic    effectiveness    ignored    quantitative    genome    specificity    variants    susceptibilities    seq    expression    dozens    notably    genes    framework    traits    promoter    hits    single    determined    enhancer    functional    co    eqtls    causal    genetics    tissue    discovered    societal    coding    cell    transcriptomic    hi    potentially    maps    trait    detect    cods    expressed    molecular    regulatory    association    gt    link    hundreds    disease    gene    revealed    gwas    rna    eqtl    treatment    biobank    variation    regulated    diseases    edge    colocalization    found    act    mechanisms    genotyped    local    uk    human    fundamental    neighbouring    domains    linking    adamant    individuals   

Project "CODer" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE DE LAUSANNE 

Organization address
address: Quartier Unil-Centre Bâtiment Unicentre
city: LAUSANNE
postcode: 1015
website: www.unil.ch

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 Switzerland [CH]
 Total cost 203˙149 €
 EC max contribution 203˙149 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DE LAUSANNE CH (LAUSANNE) coordinator 203˙149.00

Map

 Project objective

The genetic makeup intrinsic to each person shapes their particular traits, disease susceptibilities and treatment effectiveness, making understanding the functional impact of genetic variants one of the most pursued challenges in genetics research. Genome-wide association studies (GWAS) have so far associated >10,000 genetic variants with disease, with expression quantitative trait loci (eQTL) studies adamant in linking some of these disease variants to causal genes. Yet, understanding a variant’s molecular link to disease is still a major challenge, given that most are found in the genome’s non-coding regions, act only in specific tissues and may affect several genes. Recent studies revealed that neighbouring genes are often co-expressed – forming co-expression domains (CODs) – potentially regulated by shared regulatory variants, yet, this has been ignored in eQTL and GWAS studies. This project aims to investigate how local gene co-expression is achieved and regulated by genetic variants, and their impact on human disease. For this, I propose a novel genome-wide framework to detect human CODs and their regulatory variants (cod-QTLs) using transcriptomic profiles across hundreds of genotyped individuals. The mechanisms through which variants affect the expression of several genes will be discovered through causality inference and molecular characterisation using state-of-the-art datasets (e.g. Hi-C, promoter-enhancer maps). Notably, CODs’ tissue-specificity will be studied using gene expression across 53 human tissues and the co-expression variation across 120 individuals will be assessed using a cutting-edge dataset of single-cell RNA-seq. The impact of cod-QTLs on dozens of societal-relevant diseases will be determined by colocalization analysis with GWAS hits from the UK Biobank. This project promises to clarify fundamental aspects of gene (co-)regulation and provide functional interpretation of eQTLs and GWAS findings, including revealing novel disease genes.

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

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