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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.

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

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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