A datamining approach for genotype-phenotype correlation analysis
| Project/Area Number |
17K15629
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Human genetics
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| Research Institution | Hamamatsu University School of Medicine |
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Principal Investigator |
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2019: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | 遺伝型-表現型予測 / データマイニング / 遺伝子診断 / 遺伝子‐表現型予測 / 遺伝子型-表現型予測 / 遺伝学 |
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| Outline of Final Research Achievements |
In this study, we proposed a datamining approach using public life science databases for genotype-phenotype correlation analysis. We performed to test our phenotype prediction model for dataset of model disease by cross-validation method. In the result, our prediction model obtained high prediction accuracy.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究における統計学的手法による遺伝型‐表現型相関解析および表現型予測モデルの構築は、将来的に遺伝性疾患の原因となる病的バリアントの探索におけるスクリーニングや遺伝子診断における疾患感受性遺伝子予測等への応用が期待される。
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Report
(4 results)
Research Products
(3 results)
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[Journal Article] Liganded T3 Receptor β2 Inhibits the Positive Feedback Autoregulation of the Gene for GATA2, a Transcription Factor Critical for Thyrotropin Production2020
Author(s)
Hirahara N, Nakamura HM, Sasaki S, Matsushita A, Ohba K, Kuroda G, Sakai Y, Shinkai S, Haeno H, Nishio T, Yoshida S, Oki Y, Suda T.
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Journal Title
PLoS One
Volume: 15
Issue: 1
Pages: e0227646-e0227646
DOI
Related Report
Peer Reviewed / Open Access
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