GENOVAR

Sequence based strategies to identify genetic variation associated with mental retardation and schizophrenia

 Coordinatore UPPSALA UNIVERSITET 

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 Nazionalità Coordinatore Sweden [SE]
 Totale costo 1˙496˙574 €
 EC contributo 1˙496˙574 €
 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-StG_20101109
 Funding Scheme ERC-SG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-08-01   -   2017-07-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UPPSALA UNIVERSITET

 Organization address address: SANKT OLOFSGATAN 10 B
city: UPPSALA
postcode: 751 05

contact info
Titolo: Dr.
Nome: Lars
Cognome: Feuk
Email: send email
Telefono: +46 18 4714827
Fax: +46 18 558931

SE (UPPSALA) hostInstitution 1˙496˙574.00
2    UPPSALA UNIVERSITET

 Organization address address: SANKT OLOFSGATAN 10 B
city: UPPSALA
postcode: 751 05

contact info
Titolo: Ms.
Nome: Birgitta
Cognome: Gustafsson
Email: send email
Telefono: +46 18 471 5029
Fax: +46 18 471 5077

SE (UPPSALA) hostInstitution 1˙496˙574.00

Mappa


 Word cloud

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diagnostic    sequencing    disease    variants    patients    genes    scz    disorders    performed    mr    pedigrees    screening    mental    genetic    individuals    retardation   

 Obiettivo del progetto (Objective)

'Mental retardation (MR) and schizophrenia (SCZ) are disorders of the brain that affect 2-3% and 1% of the population, respectively. Both disorders are considered to be highly heritable, but exhibit heterogeneous genetic etiology. Recent genetic studies have led to discoveries that the same variants that can give rise to different neuropsychiatric disorders, including MR and SCZ. In this proposal, sequencing will be used to identify novel genes involved in MR and SCZ, and to explore the potential overlap between these disorders. The specific goals of the research plan include: 1. Genetic characterization of patients from large pedigrees with SCZ and MR. Five pedigrees have been collected in which multiple individuals are affected by SCZ or MR. The pedigrees vary in size, with the largest spanning 12 generations including 3,400 individuals. Exome and whole genome sequencing will be performed to identify the genetic variants associated with disease. Candidate genes identified will be screened in large independent cohorts of MR and SCZ patients. In addition, RNA sequencing will be performed on cell lines established for patients and controls from two of the pedigrees. 2. Screening of trios to identify novel genes causing MR Mental retardation (MR) patients are typically referred for array-based analysis. With current genetic screening using microarray, a clinically significant rearrangement is identified in 15-20% of patients. I propose use high throughput sequencing to screen MR patients and their parents with the goal of identifying new MR genes and to investigate to what extent the diagnostic yield can be increased.

By combining sequencing, bioinformatics and carefully selected clinical material, the work presented in this proposal will lead to an increased understanding of disease mechanisms and enable the development of novel targets and strategies for molecular diagnostic screening.'

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