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

2015 Fiscal Year Final Research Report

• Project/Area Number: 25330054
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Statistical science
• Research Institution: Japanese 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
• 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

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.

Free Research Field

生物統計学