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Development of statistical methods for detecting gene-gene interactions from large-scale genomic data

Research Project

Project/Area Number 25330054
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Statistical science
Research InstitutionJapanese Foundation for Cancer Research

Principal Investigator

USHIJIMA Masaru  公益財団法人がん研究会, ゲノムセンター, 研究員 (60328565)

Co-Investigator(Renkei-kenkyūsha) MATSUURA Masaaki  帝京大学, 大学院公衆衛生学研究科, 教授 (40173794)
MIKI Yoshio  東京医科歯科大学, 難治疾患研究所, 教授 (10281594)
Research Collaborator DAN Shingo  がん研究会, がん化学療法センター, 副部長 (70332202)
Project Period (FY) 2013-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords多重検定 / SNP / ゲノムワイド関連解析 / 遺伝子間相互作用 / マイクロアレイ / クラスタリング / 遺伝子発現解析 / SNP解析 / 多重検定法 / False Discovery Rate
Outline of Final Research Achievements

We developed a statistical method for detecting gene-gene interactions using simple statistics from genome-wide SNP data. This program is about 20 times faster than the program we developed previously. In addition, we developed analytical programs which detect gene-gene interactions from microarray data and three-way interactions from SNP data in the similar way. As an application of our method, we performed Lasso clustering to the breast cancer microarray data to detect a novel subtype and related genes.

Report

(4 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • Research Products

    (5 results)

All 2016 2015 2014 2013

All Journal Article (1 results) Presentation (4 results)

  • [Journal Article] 抗がん剤副作用予測システム2015

    • Author(s)
      松浦正明,牛嶋大
    • Journal Title

      血液内科

      Volume: 70 Pages: 533-538

    • NAID

      40020439698

    • Related Report
      2015 Annual Research Report
  • [Presentation] Development of Lasso clustering method with application to basal-like breast cancer microarray data2016

    • Author(s)
      Ushijima M, Miyaguchi K, Mori S, Miki Y, Matsuura M.
    • Organizer
      10th AACR-JCA joint conference
    • Place of Presentation
      HYATT Regency, Maui, HW
    • Year and Date
      2016-02-17
    • Related Report
      2015 Annual Research Report
  • [Presentation] Lasso クラスタリング法の開発とbasal-like 乳がんマイクロアレイデータへの応用2015

    • Author(s)
      牛嶋大, 宮口健, 森誠一, 三木義男, 松浦正明
    • Organizer
      第74回日本癌学会学術総会
    • Place of Presentation
      名古屋国際会議場
    • Year and Date
      2015-10-09
    • Related Report
      2015 Annual Research Report
  • [Presentation] Lasso clustering method for classification of cancer subtypes using microarray data2014

    • Author(s)
      Masaru Ushijima, Shinto Eguchi, Osamu Komori, Yoshio Miki, Masaaki Matsuura
    • Organizer
      27th International Biometric Conference
    • Place of Presentation
      Florence, Italy
    • Year and Date
      2014-07-07 – 2014-07-11
    • Related Report
      2014 Research-status Report
  • [Presentation] Development of clustering-based gene selection method with application to breast cancer subtype data2013

    • Author(s)
      牛嶋 大、三木義男、松浦正明
    • Organizer
      第72回日本癌学会学術総会
    • Place of Presentation
      パシフィコ横浜
    • Related Report
      2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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