COMPLEX_TRAITS

High-throughput dissection of the genetics underlying complex traits

Coordinatore	EUROPEAN MOLECULAR BIOLOGY LABORATORY    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Germany [DE]
Totale costo	2˙499˙821 €
EC contributo	2˙499˙821 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2011-ADG_20110310
Funding Scheme	ERC-AG
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-11-01   -   2017-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	EUROPEAN MOLECULAR BIOLOGY LABORATORY  Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 contact info Titolo: Dr. Nome: Lars Cognome: Steinmetz Email: send email Telefono: 4962210000000	DE (HEIDELBERG)	hostInstitution	2˙499˙821.00
2	EUROPEAN MOLECULAR BIOLOGY LABORATORY  Organization address address: Meyerhofstrasse 1 city: HEIDELBERG postcode: 69117 contact info Titolo: Ms. Nome: Virginia Cognome: Otón García Email: send email Telefono: 4962210000000 Fax: 4962210000000	DE (HEIDELBERG)	hostInstitution	2˙499˙821.00

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 Obiettivo del progetto (Objective)

'The vast majority of genetic diseases are complex traits, conditioned by multiple genetic and environmental factors. Yet our understanding of the genetics underlying such traits in humans remains extremely limited, due largely to the statistical complexity of inferring the effects of allelic variants in a genetically diverse population. Novel tools for the dissection of the genetic architecture of complex traits, therefore, can be most effectively developed in model organisms, where the contribution of individual alleles can be quantitatively determined in controlled genetic backgrounds. We have previously established the yeast Saccharomyces cerevisiae as a model for complex traits by unravelling complex genetic architectures that govern quantitative phenotypes in this organism. We achieved this by pioneering approaches that have revealed crucial information about the complexity of the underlying genetics. Here we propose to advance to the next level of complex trait dissection by developing systematic, genome-wide technologies that aim to identify all of the variants underlying a complex trait in a single step. In particular, we will investigate traits involved in mitochondrial function, which are both clinically relevant and highly conserved in yeast. Our combination of genomic technologies will allow us to: 1) systematically detect, with maximal sensitivity, the majority of genetic variants (coding and non-coding) that condition these traits; 2) quantify the contributions of these variants and their interactions; and 3) evaluate the strengths and limitations of current methods for dissecting complex traits. Taken together, our research will yield fundamental insights into the genetic complexity of multifactorial traits, providing valuable lessons and establishing novel genomic tools that will facilitate the investigation of complex diseases.'