Portal de Periódicos da CAPES

dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project

2021; Springer Nature; Volume: 8; Issue: 1 Linguagem: Inglês

10.1038/s41439-021-00175-5

2054-345X

Soichi Ogishima, Satoshi Nagaie, Satoshi Mizuno, Ryosuke Ishiwata, Keita Iida, Kazuro Shimokawa, Takako Takai‐Igarashi, Naoki Nakamura, Sachiko Nagase, Tomohiro Nakamura, Naho Tsuchiya, Naoki Nakaya, Keiko Murakami, Fumihiko Ueno, Tomomi Onuma, Mami Ishikuro, Taku Obara, Shunji Mugikura, Hiroaki Tomita, Akira Uruno, Tomoko Kobayashi, Akito Tsuboi, Shu Tadaka, Fumiki Katsuoka, Akira Narita, Mika Sakurai, Satoshi Makino, Gen Tamiya, Yuichi Aoki, Ritsuko Shimizu, Ikuko N. Motoike, S. Koshiba, Naoko Minegishi, Kazuki Kumada, Takahiro Nobukuni, Kichiya Suzuki, Inaho Danjoh, Fuji Nagami, Kozo Tanno, Hideki Ohmomo, Koichi Asahi, Atsushi Shimizu, Atsushi Hozawa, Shinichi Kuriyama, Masayuki Yamamoto, Michiaki Abe, Yayoi Aizawa, Yuichi Aoki, Koichi Chida, Inaho Danjoh, Shinichi Egawa, Ai Eto, Takamitsu Funayama, Nobuo Fuse, Yohei Hamanaka, Yuki Harada, Hiroaki Hashizume, Shinichi Higuchi, Sachiko Hirano, Takumi Hirata, Masahiro Hiratsuka, Atsushi Hozawa, Kazuhiko Igarashi, Jin Inoue, N. Ishida, Naoto Ishii, Tadashi Ishii, Mami Ishikuro, Kiyoshi Ito, Sadayoshi Ito, Maiko Kageyama, Fumiki Katsuoka, Hiroshi Kawame, Junko Kawashima, Masahiro Kikuya, Kengo Kinoshita, Kazuyuki Kitatani, Tomomi Kiyama, Hideyasu Kiyomoto, Tomoko Kobayashi, Eiichi Kodama, Mana Kogure, Kaname Kojima, Sachie Koreeda, S. Koshiba, Shihoko Koyama, Hisaaki Kudo, Kazuki Kumada, Shigeo Kure, Miho Kuriki, Shinichi Kuriyama, Yoko Kuroki, Norihide Maikusa, Satoshi Makino, Hiroko Matsubara, Hiroyuki Matsui, Hirohito Metoki, Takahiro Mimori, Naoko Minegishi, Kazuharu Misawa, Masako Miyashita, Satoshi Mizuno, Hozumi Motohashi, Ikuko N. Motoike, Satoshi Nagaie, Masato Nagai, Fuji Nagami, Masao Nagasaki, Sachiko Nagase, Naoki Nakamura, Tomohiro Nakamura, Naoki Nakaya, Keiko Nakayama, Akira Narita, Ichiko Nishijima, Takahiro Nobukuni, Kotaro Nochioka, Taku Obara, Soichi Ogishima, Noriaki Ohuchi, G. Olivier, Noriko Osumi, Hiroshi Otsu, Akihito Otsuki, Daisuke Saigusa, Sakae Saito, Tomo Saito, Masaki Sakaida, Mika Sakurai‐Yageta, Yuki Sato, Yukuto Sato, Atsushi Sekiguchi, Chen‐Yang Shen, Tomoko Shibata, Ritsuko Shimizu, Kazuro Shimokawa, Matsuyuki Shirota, Junichi Sugawara, Kichiya Suzuki, Yoichi Suzuki, Shu Tadaka, Makiko Taira, Takako Takai‐Igarashi, Yuji Takano, Yasuyuki Taki, Gen Tamiya, Osamu Tanabe, Hiroshi Tanaka, Yukari Tanaka, Shunsuke Teraguchi, Takahiro Terakawa, Teiji Tominaga, Hiroaki Tomita, Akito Tsuboi, Naho Tsuchiya, Ichiro Tsuji, Masao Ueki, Akira Uruno, Nobuo Yaegashi, Junya Yamagishi, Yumi Yamaguchi‐Kabata, Chizuru Yamanaka, Riu Yamashita, Jun Yasuda, Junji Yokozawa, Kazunori Waki, Makoto Sasaki, Junko Akai, Ryujin Endo, Akimune Fukushima, Ryohei Furukawa, Tsuyoshi Hachiya, Kouhei Hashizume, Jiro Hitomi, Yasushi Ishigaki, Shohei Komaki, Yuka Kotozaki, Takahiro Mikami, Motoyuki Nakamura, Naoyuki Nishiya, Satoshi Nishizuka, Yoko Nomura, Kuniaki Ogasawara, Hideki Ohmomo, Shinichi Omama, Ryo Otomo, Kotaro Otsuka, Kotaro Oyama, Kiyomi Sakata, Ryohei Sasaki, Mamoru Satoh, Namie Sato, Atsushi Shimizu, Yu Shiwa, Yoichi Sut­oh, Nobuyuki Takanashi, Noriko Takebe, Fumitaka Tanaka, Ryoichi Tanaka, Kozo Tanno, Tomoharu Tokutomi, Kayono Yamamoto, Fumio Yamashita, Nobuo Fuse, Teiji Tominaga, Shigeo Kure, Nobuo Yaegashi, Kengo Kinoshita, Makoto Sasaki, Hiroshi Tanaka, Masayuki Yamamoto,

Health, Environment, Cognitive Aging

To reveal gene-environment interactions underlying common diseases and estimate the risk for common diseases, the Tohoku Medical Megabank (TMM) project has conducted prospective cohort studies and genomic and multiomics analyses. To establish an integrated biobank, we developed an integrated database called "dbTMM" that incorporates both the individual cohort/clinical data and the genome/multiomics data of 157,191 participants in the Tohoku Medical Megabank project. To our knowledge, dbTMM is the first database to store individual whole-genome data on a variant-by-variant basis as well as cohort/clinical data for over one hundred thousand participants in a prospective cohort study. dbTMM enables us to stratify our cohort by both genome-wide genetic factors and environmental factors, and it provides a research and development platform that enables prospective analysis of large-scale data from genome cohorts.