著者
Shinichi Kuriyama Nobuo Yaegashi Fuji Nagami Tomohiko Arai Yoshio Kawaguchi Noriko Osumi Masaki Sakaida Yoichi Suzuki Keiko Nakayama Hiroaki Hashizume Gen Tamiya Hiroshi Kawame Kichiya Suzuki Atsushi Hozawa Naoki Nakaya Masahiro Kikuya Hirohito Metoki Ichiro Tsuji Nobuo Fuse Hideyasu Kiyomoto Junichi Sugawara Akito Tsuboi Shinichi Egawa Kiyoshi Ito Koichi Chida Tadashi Ishii Hiroaki Tomita Yasuyuki Taki Naoko Minegishi Naoto Ishii Jun Yasuda Kazuhiko Igarashi Ritsuko Shimizu Masao Nagasaki Seizo Koshiba Kengo Kinoshita Soichi Ogishima Takako Takai-Igarashi Teiji Tominaga Osamu Tanabe Noriaki Ohuchi Toru Shimosegawa Shigeo Kure Hiroshi Tanaka Sadayoshi Ito Jiro Hitomi Kozo Tanno Motoyuki Nakamura Kuniaki Ogasawara Seiichiro Kobayashi Kiyomi Sakata Mamoru Satoh Atsushi Shimizu Makoto Sasaki Ryujin Endo Kenji Sobue the Tohoku Medical Megabank Project Study Group Masayuki Yamamoto
出版者
日本疫学会
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
pp.JE20150268, (Released:2016-07-02)
参考文献数
64
被引用文献数
1 211

The Great East Japan Earthquake (GEJE) and resulting tsunami of March 11, 2011 gave rise to devastating damage on the Pacific coast of the Tohoku region. The Tohoku Medical Megabank Project (TMM), which is being conducted by Tohoku University Tohoku Medical Megabank Organization (ToMMo) and Iwate Medical University Iwate Tohoku Medical Megabank Organization (IMM), has been launched to realize creative reconstruction and to solve medical problems in the aftermath of this disaster. We started two prospective cohort studies in Miyagi and Iwate Prefectures: a population-based adult cohort study, the TMM Community-Based Cohort Study (TMM CommCohort Study), which will recruit 80 000 participants, and a birth and three-generation cohort study, the TMM Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study), which will recruit 70 000 participants, including fetuses and their parents, siblings, grandparents, and extended family members. The TMM CommCohort Study will recruit participants from 2013 to 2016 and follow them for at least 5 years. The TMM BirThree Cohort Study will recruit participants from 2013 to 2017 and follow them for at least 4 years. For children, the ToMMo Child Health Study, which adopted a cross-sectional design, was also started in November 2012 in Miyagi Prefecture. An integrated biobank will be constructed based on the two prospective cohort studies, and ToMMo and IMM will investigate the chronic medical impacts of the GEJE. The integrated biobank of TMM consists of health and clinical information, biospecimens, and genome and omics data. The biobank aims to establish a firm basis for personalized healthcare and medicine, mainly for diseases aggravated by the GEJE in the two prefectures. Biospecimens and related information in the biobank will be distributed to the research community. TMM itself will also undertake genomic and omics research. The aims of the genomic studies are: 1) to construct an integrated biobank; 2) to return genomic research results to the participants of the cohort studies, which will lead to the implementation of personalized healthcare and medicine in the affected areas in the near future; and 3) to contribute the development of personalized healthcare and medicine worldwide. Through the activities of TMM, we will clarify how to approach prolonged healthcare problems in areas damaged by large-scale disasters and how useful genomic information is for disease prevention.
著者
Atsushi Hozawa Kozo Tanno Naoki Nakaya Tomohiro Nakamura Naho Tsuchiya Takumi Hirata Akira Narita Mana Kogure Kotaro Nochioka Ryohei Sasaki Nobuyuki Takanashi Kotaro Otsuka Kiyomi Sakata Shinichi Kuriyama Masahiro Kikuya Osamu Tanabe Junichi Sugawara Kichiya Suzuki Yoichi Suzuki Eiichi N Kodama Nobuo Fuse Hideyasu Kiyomoto Hiroaki Tomita Akira Uruno Yohei Hamanaka Hirohito Metoki Mami Ishikuro Taku Obara Tomoko Kobayashi Kazuyuki Kitatani Takako Takai-Igarashi Soichi Ogishima Mamoru Satoh Hideki Ohmomo Akito Tsuboi Shinichi Egawa Tadashi Ishii Kiyoshi Ito Sadayoshi Ito Yasuyuki Taki Naoko Minegishi Naoto Ishii Masao Nagasaki Kazuhiko Igarashi Seizo Koshiba Ritsuko Shimizu Gen Tamiya Keiko Nakayama Hozumi Motohashi Jun Yasuda Atsushi Shimizu Tsuyoshi Hachiya Yuh Shiwa Teiji Tominaga Hiroshi Tanaka Kotaro Oyama Ryoichi Tanaka Hiroshi Kawame Akimune Fukushima Yasushi Ishigaki Tomoharu Tokutomi Noriko Osumi Tadao Kobayashi Fuji Nagami Hiroaki Hashizume Tomohiko Arai Yoshio Kawaguchi Shinichi Higuchi Masaki Sakaida Ryujin Endo Satoshi Nishizuka Ichiro Tsuji Jiro Hitomi Motoyuki Nakamura Kuniaki Ogasawara Nobuo Yaegashi Kengo Kinoshita Shigeo Kure Akio Sakai Seiichiro Kobayashi Kenji Sobue Makoto Sasaki Masayuki Yamamoto
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
vol.31, no.1, pp.65-76, 2021-01-05 (Released:2021-01-05)
参考文献数
34
被引用文献数
54 66

Background: We established a community-based cohort study to assess the long-term impact of the Great East Japan Earthquake on disaster victims and gene-environment interactions on the incidence of major diseases, such as cancer and cardiovascular diseases.Methods: We asked participants to join our cohort in the health check-up settings and assessment center based settings. Inclusion criteria were aged 20 years or over and living in Miyagi or Iwate Prefecture. We obtained information on lifestyle, effect of disaster, blood, and urine information (Type 1 survey), and some detailed measurements (Type 2 survey), such as carotid echography and calcaneal ultrasound bone mineral density. All participants agreed to measure genome information and to distribute their information widely.Results: As a result, 87,865 gave their informed consent to join our study. Participation rate at health check-up site was about 70%. The participants in the Type 1 survey were more likely to have psychological distress than those in the Type 2 survey, and women were more likely to have psychological distress than men. Additionally, coastal residents were more likely to have higher degrees of psychological distress than inland residents, regardless of sex.Conclusion: This cohort comprised a large sample size and it contains information on the natural disaster, genome information, and metabolome information. This cohort also had several detailed measurements. Using this cohort enabled us to clarify the long-term effect of the disaster and also to establish personalized prevention based on genome, metabolome, and other omics information.