2014 Fiscal Year Final Research Report
Bioinformatic and statistical genetic analysis of cancer
Project Area | Integrative Systems Understanding of Cancer for Advanced Diagnosis, Therapy and Prevention |
Project/Area Number |
22134008
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Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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Allocation Type | Single-year Grants |
Review Section |
Complex systems
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Research Institution | The Institute of Physical and Chemical Research |
Principal Investigator |
TSUNODA Tatsuhiko 独立行政法人理化学研究所, 統合生命医科学研究センター, グループディレクター (10273468)
|
Co-Investigator(Kenkyū-buntansha) |
FUJIMOTO Akihiro 独立行政法人理化学研究所, 統合医科学研究センター, 副チームリーダー (30525853)
MIYA Fuyuki 独立行政法人理化学研究所, 統合医科学研究センター, リサーチアソシエイト (50415311)
JOHNSON Todd 独立行政法人理化学研究所, 統合医科学研究センター, リサーチアソシエイト (90392042)
|
Co-Investigator(Renkei-kenkyūsha) |
NAKAGAWA Hidewaki 独立行政法人理化学研究所, 統合医科学研究センター, チームリーダー (50361621)
|
Project Period (FY) |
2010-04-01 – 2015-03-31
|
Keywords | 癌 / ゲノム / 統計数学 / 遺伝学 / オミックス解析 / 次世代シークエンサー / 予測 / オーダーメイド医療 |
Outline of Final Research Achievements |
We aimed to realize the optimum therapy for each cancer patient by understanding cancer through comprehensive -omic analysis and by considering each patient’s predisposition, state, and environment. For that, we established: analysis methodology of newest -omic analysis, e.g. next-generation sequencing, clarification of the relationship between -omic and clinical data, identification of disease markers, a solution for the causal relationship between -omic layers, and development of a prediction methodology for diagnosis and drug response. With these methodologies, we achieved: the first comprehensive analysis of a Japanese individual’s genome, whole genome analysis of 27 hepatocellular carcinoma samples, whole genome analysis of 30 intrahepatic cholangiocarcinoma samples, identification of driver mutations and genes involved in carcinogenesis, and construction of a new system for clarifying the mechanisms of cancer development and for cancer risk prediction.
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Free Research Field |
ゲノム医科学
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