CANCERGENOMES

Functional non-coding mutations in human cancer

 Coordinatore KOBENHAVNS UNIVERSITET 

 Organization address postcode: 1017

contact info
Titolo: Mr.
Nome: Bjarne Friis
Cognome: Ploumark
Email: send email
Telefono: 4535322712
Fax: 4535324612

 Nazionalità Coordinatore Denmark [DK]
 Totale costo 230˙809 €
 EC contributo 230˙809 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2013-IIF
 Funding Scheme MC-IIF
 Anno di inizio 2015
 Periodo (anno-mese-giorno) 2015-02-01   -   2017-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1 KOBENHAVNS UNIVERSITET DK coordinator 230˙809.80

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

cancer    wgs    regulatory    regions    protein    patients    coding    functional    impact    sequencing    gene    diagnosis    genetic    mutations    tcga    atlas    dna    genome    data   

 Obiettivo del progetto (Objective)

'There is an urgent need to improve approaches for cancer diagnosis and targeted treatment, which requires a detailed understanding of the disease and its genetic basis. The advent of next-generation sequencing has allowed researchers to obtain comprehensive profiles of acquired genetic mutations in patient tumors. However, due to primarily reasons of cost, these sequencing approaches have so far ignored mutations in the multitude of non-protein-coding DNA sequence elements that control and regulate gene expression, and strong evidence is currently accumulating that mutations in these regions can cause cancer.

With recent improvements in DNA sequencing efficiency and cost, it is now becoming feasible for large research consortia such as The Cancer Genome Atlas (TCGA) to perform whole genome sequencing (WGS) in large cohorts of cancer patients. The proposed research project, “CancerGenomes”, aims to systematically detect and functionally characterize cancer mutations in non-protein-coding regulatory regions using WGS datasets from TCGA. Specifically, I will develop computational and statistical methodology for detecting and evaluating the functional impact of non-coding mutations. Using WGS data from more than 700 cancer genomes in >20 cancer types, I will derive a pan-cancer atlas of candidate functional non-coding mutations and analyze their impact on individual cancer genes, pathways and regulatory networks.

The feasibility of the project will be guaranteed by the applicant’s strong background in cancer genomics and TCGA data analysis in synergy with the host group’s unique expertise in gene regulation and whole genome sequencing analysis. Ultimately, the discovery of new cancer driver mutations in non-coding regions can lead to new anti-cancer drug targets and more accurate diagnosis of cancer patients.'

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