Opendata, web and dolomites

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

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CODER" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

Widow Spider Mating (2020)

Immature mating as a novel tactic of an invasive widow spider

Read More  

LieLowerBounds (2019)

Lower bounds for partial differential operators on compact Lie groups

Read More  

DECEYEDE (2020)

The effects of aging in the control of eye movements and its relation to perceptual and motor decisions

Read More