Literature DB >> 17696755

The Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study) to detect gene-environment interactions for cancer.

Nobuyuki Hamajima1.   

Abstract

The Japan Multi-institutional Collaborative Cohort Study (J-MICC Study) launched in 2005, supported by a research grant for Scientific Research on Special Priority Areas of Cancer from the Japanese Ministry of Education, Culture, Sports, Science and Technology. Although the main purpose is to confirm and detect gene-environment interactions of lifestyle-related diseases, mainly of cancer, through the cohort analyses, it includes cross-sectional analyses on lifestyle factors, biomarkers, and genotypes, as well as confirmation/ screening of new biomarkers usable for early diagnosis of cancer. The endpoints are cancer diagnosis and death. The participants diagnosed as cancer will be identified through population-based cancer registries, hospital cancer registries, mail questionnaires, questionnaires at repeated visits, death certificates, health insurance data, and second survey questionnaires. Subjects are individuals aged 35 to 69 years enrolled from respondents to study announcements in specified areas, inhabitants attending health checkup examinations by local governments, visitors at health checkup centers, and patients at a cancer hospital. The number of subjects was set to be 100,000 throughout Japan. The enrollment period is from April 2005 to March 2010. The second survey is scheduled 5 years after their enrollment. The participants will be followed until 2025. The J-MICC Central Office is placed at Nagoya University Graduate School of Medicine. Ten participating research groups (Cohort Study Executing Groups) send baseline data and blood samples (buffy coat, serum, and plasma) anonymized with an identification number (J-MICC ID) to the Central Office. The data of second survey and follow-up will be linked using J-MICC ID. This study is expected to produce many findings on lifestyle and genetic traits associated with lifestyle-related diseases including cancer among Japanese.

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Year:  2007        PMID: 17696755

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  116 in total

1.  A common variant of MAF/c-MAF, transcriptional factor gene in the kidney, is associated with gout susceptibility.

Authors:  Toshihide Higashino; Hirotaka Matsuo; Yukinori Okada; Hiroshi Nakashima; Seiko Shimizu; Masayuki Sakiyama; Shin Tadokoro; Akiyoshi Nakayama; Makoto Kawaguchi; Mako Komatsu; Asahi Hishida; Masahiro Nakatochi; Hiroshi Ooyama; Junko Imaki; Nariyoshi Shinomiya
Journal:  Hum Cell       Date:  2017-10-28       Impact factor: 4.174

2.  Matrix metalloproteinase 9 gene polymorphisms are associated with a multiple family history of gastric cancer.

Authors:  Rieko Okada; Mariko Naito; Yuta Hattori; Toshio Seiki; Kenji Wakai; Hinako Nanri; Miki Watanabe; Sadao Suzuki; Tara Sefanya Kairupan; Naoyuki Takashima; Haruo Mikami; Keizo Ohnaka; Yoshiyuki Watanabe; Sakurako Katsuura-Kamano; Michiaki Kubo; Nobuyuki Hamajima; Hideo Tanaka
Journal:  Gastric Cancer       Date:  2016-04-06       Impact factor: 7.370

3.  A genome-wide association study in Japanese identified one variant associated with a preference for a Japanese dietary pattern.

Authors:  Harumitsu Suzuki; Yasuyuki Nakamura; Keitaro Matsuo; Nahomi Imaeda; Chiho Goto; Akira Narita; Atsushi Shimizu; Naoyuki Takashima; Kenji Matsui; Katsuyuki Miura; Masahiro Nakatochi; Asahi Hishida; Takashi Tamura; Yuka Kadomatsu; Rieko Okada; Yuichiro Nishida; Chisato Shimanoe; Daisaku Nishimoto; Toshiro Takezaki; Isao Oze; Hidemi Ito; Hiroaki Ikezaki; Masayuki Murata; Daisuke Matsui; Etsuko Ozaki; Haruo Mikami; Yohko Nakamura; Sadao Suzuki; Miki Watanabe; Kokichi Arisawa; Hirokazu Uemura; Kiyonori Kuriki; Yukihide Momozawa; Michiaki Kubo; Yoshikuni Kita; Kenji Takeuchi; Kenji Wakai
Journal:  Eur J Clin Nutr       Date:  2020-12-06       Impact factor: 4.016

4.  Novel Risk Loci Identified in a Genome-Wide Association Study of Urolithiasis in a Japanese Population.

Authors:  Chizu Tanikawa; Yoichiro Kamatani; Chikashi Terao; Masayuki Usami; Atsushi Takahashi; Yukihide Momozawa; Kichiya Suzuki; Soichi Ogishima; Atsushi Shimizu; Mamoru Satoh; Keitaro Matsuo; Haruo Mikami; Mariko Naito; Kenji Wakai; Taiki Yamaji; Norie Sawada; Motoki Iwasaki; Shoichiro Tsugane; Kenjiro Kohri; Alan S L Yu; Takahiro Yasui; Yoshinori Murakami; Michiaki Kubo; Koichi Matsuda
Journal:  J Am Soc Nephrol       Date:  2019-04-11       Impact factor: 10.121

5.  Gene-environment interactions in obesity: implication for future applications in preventive medicine.

Authors:  Sho Nakamura; Hiroto Narimatsu; Hidenori Sato; Ri Sho; Katsumi Otani; Ryo Kawasaki; Shigeru Karasawa; Makoto Daimon; Hidetoshi Yamashita; Isao Kubota; Yoshiyuki Ueno; Takeo Kato; Takashi Yoshioka; Akira Fukao; Takamasa Kayama
Journal:  J Hum Genet       Date:  2015-12-10       Impact factor: 3.172

6.  The interaction between ABCA1 polymorphism and physical activity on the HDL-cholesterol levels in a Japanese population.

Authors:  Yuichiro Nishida; Tsuyoshi Hachiya; Megumi Hara; Chisato Shimanoe; Keitaro Tanaka; Yoichi Sutoh; Atsushi Shimizu; Asahi Hishida; Mineko Tsukamoto; Yuka Kadomatsu; Isao Oze; Yuriko N Koyanagi; Nagato Kuriyama; Teruhide Koyama; Rie Ibusuki; Toshiro Takezaki; Hiroaki Ikezaki; Norihiro Furusyo; Naoyuki Takashima; Aya Kadota; Hirokazu Uemura; Sakurako Katsuura-Kamano; Sadao Suzuki; Hiroko Nakagawa-Senda; Kiyonori Kuriki; Haruo Mikami; Yohko Nakamura; Yukihide Momozawa; Michiaki Kubo; Masahiro Nakatochi; Mariko Naito; Kenji Wakai
Journal:  J Lipid Res       Date:  2019-11-06       Impact factor: 5.922

7.  A genome-wide association study on fish consumption in a Japanese population-the Japan Multi-Institutional Collaborative Cohort study.

Authors:  Taro Suzuki; Yasuyuki Nakamura; Keitaro Matsuo; Isao Oze; Yukio Doi; Akira Narita; Atsushi Shimizu; Nahomi Imaeda; Chiho Goto; Kenji Matsui; Masahiro Nakatochi; Katsuyuki Miura; Naoyuki Takashima; Kiyonori Kuriki; Chisato Shimanoe; Keitaro Tanaka; Hiroaki Ikezaki; Masayuki Murata; Rie Ibusuki; Toshiro Takezaki; Yuriko Koyanagi; Hidemi Ito; Daisuke Matsui; Teruhide Koyama; Haruo Mikami; Yohko Nakamura; Sadao Suzuki; Takeshi Nishiyama; Sakurako Katsuura-Kamano; Kokichi Arisawa; Kenji Takeuchi; Takashi Tamura; Rieko Okada; Yoko Kubo; Yukihide Momozawa; Michiaki Kubo; Yoshikuni Kita; Kenji Wakai
Journal:  Eur J Clin Nutr       Date:  2020-09-07       Impact factor: 4.016

8.  Genome-wide association study identifies seven novel susceptibility loci for primary open-angle glaucoma.

Authors:  Yukihiro Shiga; Masato Akiyama; Koji M Nishiguchi; Kota Sato; Nobuhiro Shimozawa; Atsushi Takahashi; Yukihide Momozawa; Makoto Hirata; Koichi Matsuda; Taiki Yamaji; Motoki Iwasaki; Shoichiro Tsugane; Isao Oze; Haruo Mikami; Mariko Naito; Kenji Wakai; Munemitsu Yoshikawa; Masahiro Miyake; Kenji Yamashiro; Kenji Kashiwagi; Takeshi Iwata; Fumihiko Mabuchi; Mitsuko Takamoto; Mineo Ozaki; Kazuhide Kawase; Makoto Aihara; Makoto Araie; Tetsuya Yamamoto; Yoshiaki Kiuchi; Makoto Nakamura; Yasuhiro Ikeda; Koh-Hei Sonoda; Tatsuro Ishibashi; Koji Nitta; Aiko Iwase; Shiroaki Shirato; Yoshitaka Oka; Mamoru Satoh; Makoto Sasaki; Nobuo Fuse; Yoichi Suzuki; Ching-Yu Cheng; Chiea Chuen Khor; Mani Baskaran; Shamira Perera; Tin Aung; Eranga N Vithana; Jessica N Cooke Bailey; Jae H Kang; Louis R Pasquale; Jonathan L Haines; Janey L Wiggs; Kathryn P Burdon; Puya Gharahkhani; Alex W Hewitt; David A Mackey; Stuart MacGregor; Jamie E Craig; R Rand Allingham; Micheal Hauser; Adeyinka Ashaye; Donald L Budenz; Stephan Akafo; Susan E I Williams; Yoichiro Kamatani; Toru Nakazawa; Michiaki Kubo
Journal:  Hum Mol Genet       Date:  2018-04-15       Impact factor: 6.150

9.  Abundant daily non-sedentary activity is associated with reduced prevalence of metabolic syndrome and insulin resistance.

Authors:  H Uemura; S Katsuura-Kamano; M Yamaguchi; M Nakamoto; M Hiyoshi; K Arisawa
Journal:  J Endocrinol Invest       Date:  2013-07-26       Impact factor: 4.256

10.  MTHFR, MTR and MTRR polymorphisms and risk of chronic kidney disease in Japanese: cross-sectional data from the J-MICC Study.

Authors:  Asahi Hishida; Rieko Okada; Yin Guang; Mariko Naito; Kenji Wakai; Satoyo Hosono; Kazuyo Nakamura; Tanvir Chowdhury Turin; Sadao Suzuki; Hideshi Niimura; Haruo Mikami; Jun Otonari; Nagato Kuriyama; Sakurako Katsuura; Michiaki Kubo; Hideo Tanaka; Nobuyuki Hamajima
Journal:  Int Urol Nephrol       Date:  2013-04-18       Impact factor: 2.370

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