Development of the novel drug repositioning method based on disease genetics
Project/Area Number |
15K14429
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Medical genome science
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Research Institution | Osaka University (2016) Tokyo Medical and Dental University (2015) |
Principal Investigator |
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Project Period (FY) |
2015-04-01 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | 遺伝統計学 / ドラッグ・リポジショニング / ゲノム創薬 |
Outline of Final Research Achievements |
In this study, we constructed an in silico analytical method that utilizes large scale human disease genome analysis results to efficiently identify novel therapeutic targets and candidates of drug repositioning. We collected drug and drug target gene information from multiple drug discovery databases. We also curated Anatomical Therapeutic Chemical (ATC) Classification System to list disease and approved drug lists. By applying the newly constructed method to the latest disease genetics study results of multiple human diseases including metabolic diseases, we empirically evaluated the value of our method.
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Report
(3 results)
Research Products
(13 results)
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[Journal Article] Contribution of a Non-classical HLA Gene, HLA-DOA, to the Risk of Rheumatoid Arthritis2016
Author(s)
Okada Y, Suzuki A, Ikari K, Terao C, Kochi Y, Ohmura K, Higasa K, Akiyama M, Ashikawa K, Kanai M, Hirata J, Suita N, Teo YY, Xu H, Bae SC, Takahashi A, Momozawa Y, Matsuda K, Momohara S, Taniguchi A, Yamada R, Mimori T, Kubo M, Brown MA, Raychaudhuri S, Matsuda F, Yamanaka H, Kamatani Y, Yamamoto K
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Journal Title
Am J Hum Genet
Volume: 99
Issue: 2
Pages: 366-374
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
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[Journal Article] Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study.2016
Author(s)
Li Z, Xia Y, Feng LN, Chen JR, Li HM, Cui J, Cai QQ, Sim KS, ..., Okada Y, Raychaudhuri S, Lim ST, Tan W, Peng RJ, Khor CC, Bei JX
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Journal Title
Lancet Oncol
Volume: 17
Issue: 9
Pages: 1240-1247
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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