Statistical Genetics for Genome Cohort Study

2015 Fiscal Year Final Research Report

• Project/Area Number: 25460403
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Human genetics
• Research Institution: Tohoku University
• Principal Investigator: TAMIYA Gen 東北大学, 東北メディカル・メガバンク機構, 教授 (10317745)
• Co-Investigator(Kenkyū-buntansha): UEKI Masao 久留米大学, バイオ統計センター, 講師 (10515860) ; NAKAMURA Tomohiro 東北大学, 東北メディカル・メガバンク機構, 助教 (30537923)
• Project Period (FY): 2013-04-01 – 2016-03-31
• Keywords: 遺伝統計学 / 人類遺伝学 / コホート研究 / 高次元変数選択法 / 遺伝子×環境相互作用

Outline of Final Research Achievements

For rapid and flexibility extraction of genetic and environmental frisk actors from large-scale prospective genomic cohort data, we propose a new genetic statistical method utilizing a framework of the high-dimensional variable selection under p >> n condition of the high-dimensional and small-sample size data from such genomic cohort study; at first we extended Sure Independence Screening, which combines ranking (marginal regression) and variable selection (penalized regression), to gene × environment interaction data. Finally, we improved our software program by reflecting these findings.

Free Research Field

人類遺伝学、遺伝統計学、ゲノム科学