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

Total Cost €


EC-Contrib. €






 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.

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

Project "CODer" data sheet

The following table provides information about the project.


Organization address
address: Quartier Unil-Centre Bâtiment Unicentre
postcode: 1015

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


Take a look of project's partnership.

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


 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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