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Identification of novel therapeutics for complex diseases from genome-wide association data

Grover,MP, Ballouz,S, Mohanasundaram,KA, George,RA, Sherman,CD, Crowley,TM and Wouters,MA 2014, Identification of novel therapeutics for complex diseases from genome-wide association data, BMC medical genomics, vol. 7, no. Suppl 1, pp. 1-14, doi: 10.1186/1755-8794-7-S1-S8.

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Title Identification of novel therapeutics for complex diseases from genome-wide association data
Author(s) Grover,MP
Ballouz,S
Mohanasundaram,KA
George,RA
Sherman,CDORCID iD for Sherman,CD orcid.org/0000-0003-2099-0462
Crowley,TM
Wouters,MA
Journal name BMC medical genomics
Volume number 7
Issue number Suppl 1
Start page 1
End page 14
Publisher BioMed Central
Place of publication London, England
Publication date 2014
ISSN 1755-8794
Keyword(s) Candidate gene
Complex disease
Drug database
Drug repositioning
Drug target
Genome-wide association study
Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
GENE PREDICTION
CANDIDATE GENES
KNOWLEDGE-BASE
WEB SERVER
PRIORITIZATION
UPDATE
DRUGS
DRUGGABILITY
DISCOVERY
RESOURCE
Summary Human genome sequencing has enabled the association of phenotypes with genetic loci, but our ability to effectively translate this data to the clinic has not kept pace. Over the past 60 years, pharmaceutical companies have successfully demonstrated the safety and efficacy of over 1,200 novel therapeutic drugs via costly clinical studies. While this process must continue, better use can be made of the existing valuable data. In silico tools such as candidate gene prediction systems allow rapid identification of disease genes by identifying the most probable candidate genes linked to genetic markers of the disease or phenotype under investigation. Integration of drug-target data with candidate gene prediction systems can identify novel phenotypes which may benefit from current therapeutics. Such a drug repositioning tool can save valuable time and money spent on preclinical studies and phase I clinical trials.
Language eng
DOI 10.1186/1755-8794-7-S1-S8
Field of Research 060405 Gene Expression (incl Microarray and other genome-wide approaches)
Socio Economic Objective 920110 Inherited Diseases (incl. Gene Therapy)
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, BioMed Central
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070534

Document type: Journal Article
Collections: School of Medicine
Open Access Collection
Centre for Integrative Ecology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.