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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.

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

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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