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. Attached Files Name Description MIMEType Size Downloads grover-identificationofnovel-2014.pdf Published version application/pdf 1.33MB 196 Title Identification of novel therapeutics for complex diseases from genome-wide association data Author(s) Grover,MP Ballouz,S Mohanasundaram,KA George,RA Sherman,CD orcid.org/0000-0003-2099-0462 Crowley,TM orcid.org/0000-0002-3698-8917 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 Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30070534 Document type: Journal Article Collections: Faculty of Health School of Medicine Faculty of Science, Engineering and Built Environment Open Access Collection Centre for Integrative Ecology Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges   Author URL Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Wed, 11 Mar 2015, 10:25:03 EST Wed, 11 Mar 2015, 10:27:57 EST Thu, 12 Mar 2015, 04:01:02 EST Thu, 12 Mar 2015, 07:12:17 EST Fri, 13 Mar 2015, 05:07:32 EST Mon, 16 Mar 2015, 09:34:00 EST Mon, 16 Mar 2015, 09:52:30 EST Tue, 17 Mar 2015, 09:21:51 EST Wed, 07 Sep 2016, 08:38:31 EST Wed, 06 Dec 2017, 06:13:24 EST Fri, 07 Sep 2018, 17:26:40 EST Filtered Full Citation counts:   Cited 24 times in TR Web of Science Cited 24 times in Scopus Search Google Scholar Access Statistics: 677 Abstract Views, 197 File Downloads  -  Detailed Statistics Created: Wed, 11 Mar 2015, 10:27:57 EST