2019 Fiscal Year Final Research Report
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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| Keywords | 遺伝型-表現型予測 / データマイニング / 遺伝子診断 |
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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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| Free Research Field |
バイオインフォマティクス
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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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