Objective
A genome-wide copy number variant (CNV) association study for schizophrenia (SZ), bipolar disorder (BP) and major depression (MD) will be conducted at deCODE genetics using a discovery sample of 2400 affected (800 SZ, 600 BP, 1,000 MD) and 20,000 controls. CNV data will be generated from the newly released HumanCNV370-Duo array designed by deCODE genetics and Illumina. In this array there are about 55,000 probes covering known and supsected CNV regions. Algorithms for data analysis are being developed at deCODE. Employees from the Research Institute of Biological Psychiatry (RIBP) of Copenhagen University Hospital and Center for Biological Sequence analysis (CBS) at Denmarks Technical University will work with deCODE on analyzing the data. CNVs associating with SZ, BP and MD in Iceland will be tested in SZ (n=800), BP (n=600) and MD (n=600) and control samples from RIBP using TaqMan probes to measure gene dosage. The confirmation and subsequent functional analysis, including gene expression, will be carried out at deCODE. Scientists from RIBP and CBS will test disease-specific candidate genes, derived from biological networks, for association to SZ, BP and MD in the Icelandic samples and confirm the findings in the RIBP samples. These methods, reduce the correction factor for false positive findings, as only a small subset of polymorphisms (SNPs and CNVs) will be investigated. This allows identification of susceptibility variants conferring low risk. Variants, associating with SZ, BP and MD in the follow-up samples, will be studied further by analyzing endophenotypes, i.e. treatment response, severity, etc. in the RIBPsamples. This will implement data stored in the Danish Psychiatric Biobank maintained at RIBP. Scientists from deCODE will work with scientists from RIBP on analyzing the endophenotypic data. Furthermore samples and phenotypic data from first degree relatives of SZ, BP and MD patients will be collected, analyzed and genotyped for CNVs and SNPs.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences data science
- natural sciences biological sciences genetics
- natural sciences mathematics pure mathematics mathematical analysis functional analysis
- medical and health sciences clinical medicine psychiatry schizophrenia
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2007-3-1-IAPP
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)
Coordinator
101 Reykjavik
Iceland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.