Statistical Genetics Team

Gen Tamiya (Ph.D.)

Title

Team Leader

Members

Team Leader

Gen Tamiya
Research Scientist

Motomichi Matsuzaki
Postdoctoral Researcher

Rieko Sakurai
Postdoctoral Researcher

Kenji Yano
Visiting Scientist

Takamitsu Funayama
Visiting Scientist

Kazuharu Misawa
Visiting Scientist

Nagahisa Suzuki
Visiting Scientist

Jun Takayama
Visiting Scientist

Masao Ueki

Introduction

Using AI-based methods in statistical genetics, we analyze Big Data consisting of a wide variety of information such as genomic variations, lifestyle and health status together with an enormous medical literature in order to identify causal factors for complex common diseases. We aim to enable genomic risk prediction for complex common diseases and then to realize personalized and preventive medicine. Chiefly we investigate Big Data from large-scale prospective genomic cohorts such as the Tohoku Medical Megabank organization.

Main Research Field

Molecular Biology & Genetics

Research Field

Clinical Medicine / Agricultural Sciences / Computer Science / Mathematics

Research Subjects

Statistical genetics of prospective genomic cohort

Laboratory Website URL

http://www.genetix-h.com/~AMERI/

RIKEN Website URL

http://www.riken.jp/en/research/labs/aip/goalorient_tech/stat_genet/