RIKEN Center for Advanced Intelligence Project Statistical Genetics Team
Team Leader: Gen Tamiya (Ph.D.)
Research Summary
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, co-existing microorganisms including pathogens 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. We apply the similar approach to agriculture and other life science data.
Research Subjects
- Statistical genetics of prospective genomic cohort and other life science data
Main Research Fields
- Biological Sciences
Related Research Fields
- Agricultural Sciences
- Informatics
- Mathematical & Physical Sciences
- Medicine, Dentistry & Pharmacy
- Human Genetics
- Epidemiology and preventive medicine
- Science in genetics and breeding
Keywords
- Genome Cohort
- Statistical Genetics
- Gene-Environment Interaction
- Machine Learning
Selected Publications
Papers with an asterisk(*) are based on research conducted outside of RIKEN.
- 1.
Takahashi, Y., Ueki, M., Yamada, M., Tamiya, G., Motoike, I.N., Saigusa, D., Sakurai, M., Nagami, F., Ogishima, S., Koshiba, S., Kinoshita, K., Yamamoto, M., and Tomita, H.:
"Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection"
Translational Psychiatry 10(1): 157 (2020) - 2.
Yamamoto, Y., Tsuzuki, T., Akatsuka, J., Ueki, M., Morikawa, H., Numata, Y., Takahara, T., Tsuyuki, T., Tsutsumi, K., Nakazawa, R., Shimizu, A., Maeda, I., Tsuchiya, S., Kanno, H., Kondo, Y., Fukumoto, M., Tamiya, G., Ueda, N., and Kimura, G.:
"Automated acquisition of explainable knowledge from unannotated histopathology images"
Nature Communications 10: 5642 (2019) - 3.
Yano, K., Morinaka, Y., Wang, F., Huang, P., Takehara, S., Hirai, T., Ito, A., Koketsu, E., Kawamura, M., Kotake, K., Yoshida, S., Endo, M., Tamiya, G., Kitano, H., Ueguchi-Tanaka, M., Hirano, K., and Matsuoka, M.:
"GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture"
Proceedings of the National Academy of Sciences of the United States of America 116(42): 21262-21267 (2019) - 4.
Sakurai, R., Ueki, M., Makino, S., Hozawa, A., Kuriyama, S., Takai-Igarashi, T., Kinoshita, K., Yamamoto, M., and Tamiya, G.:
"Outlier detection for questionnaire data in biobanks"
International Journal of Epidemiology 48(4): 1305-1315 (2019) - 5.
*Araki ,Y., Awakawa, T., Matsuzaki, M., Cho, R., Matsuda, Y., Hoshino, S., Shinohara, Y., Yamamoto, M., Kido, Y., Inaoka, D.K., Nagamune, K., Ito, K., Abe, I., and Kita, K.:
"Complete biosynthetic pathways of ascofuranone and ascochlorin in Acremonium egyptiacum"
Proceedings of the National Academy of Sciences of the United States of America 116(17): 8269-8274 (2019) - 6.
Kuroha, T., Nagai, K., Gamuyao, R., Wang, D.R., Furuta, T., Nakamori, M., Kitaoka, T., Adachi, K., Minami, A., Mori, Y., Mashiguchi, K., Seto, Y., Yamaguchi, S., Kojima, M., Sakakibara, H., Wu, J., Ebana, K., Nobutaka, M., Ohme-Takagi, M., Yanagisawa, S., Yamasaki, M., Yokoyama, R., Nishitani, K., Mochizuki, T., Tamiya, G., McCouch, S.R., and Ashikari, M.:
"Ethylene-gibberellin signaling underlies adaptation of rice to periodic flooding"
Science 361(6398): 181-186 (2018) - 7.
*Ueki, M., and Tamiya, G.:
"Smooth-threshold multivariate genetic prediction with unbiased model selection"
Genetic Epidemiology 40(3): 233-243 (2016) - 8.
*Kuriyama, S., Yaegashi, N., et al. (Tamiya, G.; 11th in 58 authors):
"The Tohoku Medical Megabank Project: Design and Mission"
Journal of Epidemiology 26(9): 493–511 (2016) - 9.
*Tamiya, G., Makino, S., Hayashi, M., Abe, A., Numakura, C., Ueki, M., Tanaka, A., Ito, C., Toshimori, K., Ogawa, N., Terashima, T., Maegawa, H., Yanagisawa, D., Tooyama, I., Tada, M., Onodera, O., and Hayasaka, K.:
"A mutation of COX6A1 causes a recessive axonal or mixed form of Charcot-Marie-Tooth disease"
American Journal of Human Genetics 95(3): 294-300 (2014) - 10.
*Ueki, M., and Tamiya, G.:
"Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis"
BMC Bioinformatics 13(1): 72 (2012)
Related Links
Lab Members
Principal investigator
- Gen Tamiya
- Team Leader
Core members
- Motomichi Matsuzaki
- Deputy Team Leader
- Hikaru Matsuoka
- Research Scientist
- Rieko Sakurai
- Research Scientist
- Aye Ko Ko Minn
- Postdoctoral Researcher
- Makoto Watanabe
- Technical Staff I
- Chiaki Murata
- Technical Staff I
- Sayako Osakabe
- Technical Staff II
- Yurii Kotsar
- Technical Staff II
- Takayuki Takahashi
- Visiting Scientist
- Kazuharu Misawa
- Visiting Scientist
- Jun Takayama
- Visiting Scientist
- Masao Ueki
- Visiting Scientist
- Nagahisa Suzuki
- Visiting Scientist
- Takamitsu Funayama
- Visiting Scientist
- Junya Iwazaki
- Visiting Scientist
- Daisuke Saisho
- Visiting Scientist
- Matsuyuki Shirota
- Visiting Scientist
- Yuki Kashiwada
- Student Trainee
Contact Information
Email: gen.tamiya [at] riken.jp