MAXMAP

Developing maximum-resolution genotype-phenotype maps using whole-genome polymorphism data

Coordinatore	GREGOR-MENDEL-INSTITUT FÜR MOLEKULARE PFLANZENBIOLOGIE GMBH    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Austria [AT]
Totale costo	2˙183˙956 €
EC contributo	2˙183˙956 €
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-2010-AdG_20100317
Funding Scheme	ERC-AG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-05-01   -   2016-04-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	Nome Ente NON disponibile  Organization address address: DR BOHR GASSE 3 city: WIEN postcode: 1030 contact info Titolo: Dr. Nome: Markus Cognome: Kiess Email: send email Telefono: 431790000000 Fax: 43179000000000	AT (WIEN)	hostInstitution	2˙183˙956.00
2	Nome Ente NON disponibile  Organization address address: DR BOHR GASSE 3 city: WIEN postcode: 1030 contact info Titolo: Prof. Nome: Lars Magnus Henrik Cognome: Nordborg Email: send email Telefono: 431790000000 Fax: 431790000000	AT (WIEN)	hostInstitution	2˙183˙956.00

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 Obiettivo del progetto (Objective)

'Although pioneered by human geneticists as a potential solution to the challenging problem of finding the genetic basis of common human diseases, genome-wide association studies (GWAS) have, owing to advances in genotyping and sequencing technology, become an obvious general approach for studying the genetics of natural variation. They are particularly useful when inbred lines are available because once these lines have been genotyped they can be phenotyped multiple times, making it possible (as well as extremely cost-effective) to study many different traits in many different environments, while replicating the phenotypic measurements to reduce environmental noise. Here we propose to continue our groundbreaking GWAS work in the model plant Arabidopsis thaliana. We will explore the limits of the approach, moving beyond marker-trait linkage disequilibrium to full sequence information. We will carry out GWAS of important life-history traits using over 1000 inbred A. thaliana lines for which nearly complete sequence information is available. The GWAS will be complemented by linkage mapping in F2 crosses to eliminate confounding linkage disequilibrium, associations will be verified experimentally, and confirmed causal polymorphisms will be added to the model in an iterative manner in order to create an increasingly refined genotype-phenotype map.'