MAXMAP

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

 Coordinatore GREGOR-MENDEL-INSTITUT FÜR MOLEKULARE PFLANZENBIOLOGIE GMBH 

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 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

Mappa


 Word cloud

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disequilibrium    gwas    traits    thaliana    sequence    human    model    lines    inbred    linkage   

 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.'

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