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DismantlingNoise SIGNED

Dissecting the (epi)genetic origins of phenotypic variation and metabolic disease susceptibility

Total Cost €


EC-Contrib. €






 DismantlingNoise project word cloud

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

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Project "DismantlingNoise" data sheet

The following table provides information about the project.


Organization address
city: Munich
postcode: 80539

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 Germany [DE]
 Project website
 Total cost 1˙997˙853 €
 EC max contribution 1˙997˙853 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2021-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Current estimates place the prevalence of obesity beyond 1 billion by the year 2030. As a critical risk factor for heart disease, diabetes and stroke, obesity represents one of the chief socio-economic challenges of our day. While studies have mapped a genetic framework for understanding obesity, the etiological contribution of several regulatory layers, and in particular epigenetic regulation, remain poorly understood. A perfect example, we know that isogenic C57Bl6/J mice can vary by as much as 100% in body weight upon high fat feeding; currently, we have no mechanistic explanation for the emergence of such phenotypic variation. Here, I propose three aims dedicated towards understanding the (epi)genetic control of phenotypic variation and disease susceptibility. First, we will catalogue epigenome and phenome variation to an unprecedented depth and resolution in the isogenic context. Next, we will examine two completely novel models of epigenetically sensitized bi-stable obesity and thus begin a mechanistic dissection of phenotypic variation. Finally, we will map a series of gene-gene and gene-environment epistasis interactions including eight models of developmental plasticity and approximately a dozen chromatin regulator mutants. The latter epistasis matrix will identify the molecular mechanisms that trigger, amplify and buffer phenotypic variation and stochastic obesity in mice. The functional (epi)phenomics approach is unique. It builds the first unbiased framework against which to understand developmental plasticity and phenotypic variation, and at the same time generates powerful resources for disease researchers worldwide.

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

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