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157 results on '"Ibusuki, Rie"'

4. Dietary Carbohydrate and Fat Intakes and Risk of Mortality in the Japanese Population: the Japan Multi-Institutional Collaborative Cohort Study

Author

Tamura, Takashi, Wakai, Kenji, Kato, Yasufumi, Tamada, Yudai, Kubo, Yoko, Okada, Rieko, Nagayoshi, Mako, Hishida, Asahi, Imaeda, Nahomi, Goto, Chiho, Ikezaki, Hiroaki, Otonari, Jun, Hara, Megumi, Tanaka, Keitaro, Nakamura, Yohko, Kusakabe, Miho, Ibusuki, Rie, Koriyama, Chihaya, Oze, Isao, Ito, Hidemi, Suzuki, Sadao, Nakagawa-Senda, Hiroko, Ozaki, Etsuko, Matsui, Daisuke, Kuriki, Kiyonori, Kondo, Keiko, Takashima, Naoyuki, Watanabe, Takeshi, Katsuura-Kamano, Sakurako, and Matsuo, Keitaro

Published
2023
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5. Coffee and metabolic phenotypes: A cross-sectional analysis of the Japan multi-institutional collaborative cohort (J-MICC) study

Author

Watanabe, Takeshi, Arisawa, Kokichi, Nguyen, Tien Van, Ishizu, Masashi, Katsuura-Kamano, Sakurako, Hishida, Asahi, Tamura, Takashi, Kato, Yasufumi, Okada, Rieko, Ibusuki, Rie, Koriyama, Chihaya, Suzuki, Sadao, Otani, Takahiro, Koyama, Teruhide, Tomida, Satomi, Kuriki, Kiyonori, Takashima, Naoyuki, Miyagawa, Naoko, Wakai, Kenji, and Matsuo, Keitaro

Published
2023
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6. A genome-wide association study on adherence to low-carbohydrate diets in Japanese

Author

Nakamura, Yasuyuki, Tamura, Takashi, Narita, Akira, Shimizu, Atsushi, Sutoh, Yoichi, Takashima, Naoyuki, Matsui, Kenji, Miyagawa, Naoko, Kadota, Aya, Miura, Katsuyuki, Otonari, Jun, Ikezaki, Hiroaki, Hishida, Asahi, Nagayoshi, Mako, Okada, Rieko, Kubo, Yoko, Tanaka, Keitaro, Shimanoe, Chisato, Ibusuki, Rie, Nishimoto, Daisaku, Oze, Isao, Ito, Hidemi, Ozaki, Etsuko, Matsui, Daisuke, Mikami, Haruo, Kusakabe, Miho, Suzuki, Sadao, Watanabe, Miki, Arisawa, Kokichi, Katsuura-Kamano, Sakurako, Kuriki, Kiyonori, Nakatochi, Masahiro, Momozawa, Yukihide, Kubo, Michiaki, Takeuchi, Kenji, and Wakai, Kenji

Published
2022
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7. Irregular sleep and all-cause mortality: A large prospective cohort study

Author

Omichi, Chie, Koyama, Teruhide, Kadotani, Hiroshi, Ozaki, Etsuko, Tomida, Satomi, Yoshida, Tamami, Otonari, Jun, Ikezaki, Hiroaki, Hara, Megumi, Tanaka, Keitaro, Tamura, Takashi, Nagayoshi, Mako, Okada, Rieko, Kubo, Yoko, Oze, Isao, Matsuo, Keitaro, Nakamura, Yohko, Kusakabe, Miho, Ibusuki, Rie, Shibuya, Kenichi, Suzuki, Sadao, Watanabe, Miki, Kuriki, Kiyonori, Takashima, Naoyuki, Kadota, Aya, Katsuura-Kamano, Sakurako, Arisawa, Kokichi, Takeuchi, Kenji, and Wakai, Kenji

Published
2022
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9. Association of skipping breakfast and short sleep duration with the prevalence of metabolic syndrome in the general Japanese population: Baseline data from the Japan Multi-Institutional Collaborative cohort study

Author

Katsuura-Kamano, Sakurako, Arisawa, Kokichi, Uemura, Hirokazu, Van Nguyen, Tien, Takezaki, Toshiro, Ibusuki, Rie, Suzuki, Sadao, Otani, Takahiro, Okada, Rieko, Kubo, Yoko, Tamura, Takashi, Hishida, Asahi, Koyama, Teruhide, Matsui, Daisuke, Kuriki, Kiyonori, Takashima, Naoyuki, Miyagawa, Naoko, Ikezaki, Hiroaki, Matsumoto, Yuji, Nishida, Yuichiro, Shimanoe, Chisato, Oze, Isao, Matsuo, Keitaro, Mikami, Haruo, Kusakabe, Miho, Takeuchi, Kenji, and Wakai, Kenji

Published
2021
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11. The interaction between ABCA1 polymorphism and physical activity on the HDL-cholesterol levels in a Japanese population

Author

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

Published
2020
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12. Interactions between inflammatory gene polymorphisms and HTLV-I infection for total death, incidence of cancer, and atherosclerosis-related diseases among the Japanese population

Author

Kairupan, Tara Sefanya, Ibusuki, Rie, Kheradmand, Motahare, Sagara, Yasuko, Mantjoro, Eva Mariane, Nindita, Yora, Niimura, Hideshi, Kuwabara, Kazuyo, Ogawa, Shin, Tsumematsu-Nakahata, Noriko, Nerome, Yasuhito, Owaki, Tetsuhiro, Matsushita, Toshifumi, Maenohara, Shigeho, Yamaguchi, Kazunari, and Takezaki, Toshiro

Published
2017
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14. Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals

Author

Nakatochi, Masahiro, Kanai, Masahiro, Nakayama, Akiyoshi, Hishida, Asahi, Kawamura, Yusuke, Ichihara, Sahoko, Akiyama, Masato, Ikezaki, Hiroaki, Furusyo, Norihiro, Shimizu, Seiko, Yamamoto, Ken, Hirata, Makoto, Okada, Rieko, Kawai, Sayo, Kawaguchi, Makoto, Nishida, Yuichiro, Shimanoe, Chisato, Ibusuki, Rie, Takezaki, Toshiro, Nakajima, Mayuko, Takao, Mikiya, Ozaki, Etsuko, Matsui, Daisuke, Nishiyama, Takeshi, Suzuki, Sadao, Takashima, Naoyuki, Kita, Yoshikuni, Endoh, Kaori, Kuriki, Kiyonori, Uemura, Hirokazu, Arisawa, Kokichi, Oze, Isao, Matsuo, Keitaro, Nakamura, Yohko, Mikami, Haruo, Tamura, Takashi, Nakashima, Hiroshi, Nakamura, Takahiro, Kato, Norihiro, Matsuda, Koichi, Murakami, Yoshinori, Matsubara, Tatsuaki, Naito, Mariko, Kubo, Michiaki, Kamatani, Yoichiro, Shinomiya, Nariyoshi, Yokota, Mitsuhiro, Wakai, Kenji, Okada, Yukinori, and Matsuo, Hirotaka

Published
2019
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15. Association between brain-muscle-ARNT-like protein-2 (BMAL2) gene polymorphism and type 2 diabetes mellitus in obese Japanese individuals: A cross-sectional analysis of the Japan Multi-institutional Collaborative Cohort Study

Author

Yamaguchi, Miwa, Uemura, Hirokazu, Arisawa, Kokichi, Katsuura-Kamano, Sakurako, Hamajima, Nobuyuki, Hishida, Asahi, Suma, Shino, Oze, Isao, Nakamura, Kazuyo, Takashima, Naoyuki, Suzuki, Sadao, Ibusuki, Rie, Mikami, Haruo, Ohnaka, Keizo, Kuriyama, Nagato, Kubo, Michiaki, and Tanaka, Hideo

Published
2015
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17. BMI and cardiometabolic traits in Japanese: a Mendelian randomization study

Author

Nagayoshi, Mako, primary, Hishida, Asahi, additional, Shimizu, Tomonori, additional, Kato, Yasufumi, additional, Kubo, Yoko, additional, Okada, Rieko, additional, Tamura, Takashi, additional, Otonari, Jun, additional, Ikezaki, Hiroaki, additional, Hara, Megumi, additional, Nishida, Yuichiro, additional, Oze, Isao, additional, Koyanagi, Yuriko N., additional, Nakamura, Yohko, additional, Kusakabe, Miho, additional, Ibusuki, Rie, additional, Shibuya, Keiichi, additional, Suzuki, Sadao, additional, Nishiyama, Takeshi, additional, Koyama, Teruhide, additional, Ozaki, Etsuko, additional, Kuriki, Kiyonori, additional, Takashima, Naoyuki, additional, Nakamura, Yasuyuki, additional, Katsuura-Kamano, Sakurako, additional, Arisawa, Kokichi, additional, Nakatochi, Masahiro, additional, Momozawa, Yukihide, additional, Takeuchi, Kenji, additional, and Wakai, Kenji, additional

Published
2023
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18. Coffee and metabolic phenotypes: A cross-sectional analysis of the Japan multi-institutional collaborative cohort (J-MICC) study

Author

Watanabe, Takeshi, primary, Arisawa, Kokichi, additional, Nguyen, Tien Van, additional, Ishizu, Masashi, additional, Katsuura-Kamano, Sakurako, additional, Hishida, Asahi, additional, Tamura, Takashi, additional, Kato, Yasufumi, additional, Okada, Rieko, additional, Ibusuki, Rie, additional, Koriyama, Chihaya, additional, Suzuki, Sadao, additional, Otani, Takahiro, additional, Koyama, Teruhide, additional, Tomida, Satomi, additional, Kuriki, Kiyonori, additional, Takashima, Naoyuki, additional, Miyagawa, Naoko, additional, Wakai, Kenji, additional, and Matsuo, Keitaro, additional

Published
2022
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19. Assessing the Relationship Between High-sensitivity C-reactive Protein and Kidney Function Employing Mendelian Randomization in the Japanese Community-based J-MICC Study

Author

Fujii, Ryosuke, primary, Hishida, Asahi, additional, Nishiyama, Takeshi, additional, Nakatochi, Masahiro, additional, Matsuo, Keitaro, additional, Ito, Hidemi, additional, Nishida, Yuichiro, additional, Shimanoe, Chisato, additional, Nakamura, Yasuyuki, additional, Turin, Tanvir Chowdhury, additional, Suzuki, Sadao, additional, Watanabe, Miki, additional, Ibusuki, Rie, additional, Takezaki, Toshiro, additional, Mikami, Haruo, additional, Nakamura, Yohko, additional, Ikezaki, Hiroaki, additional, Murata, Masayuki, additional, Kuriki, Kiyonori, additional, Kuriyama, Nagato, additional, Matsui, Daisuke, additional, Arisawa, Kokichi, additional, Katsuura-Kamano, Sakurako, additional, Tsukamoto, Mineko, additional, Tamura, Takashi, additional, Kubo, Yoko, additional, Kondo, Takaaki, additional, Momozawa, Yukihide, additional, Kubo, Michiaki, additional, Takeuchi, Kenji, additional, and Wakai, Kenji, additional

Published
2022
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20. Genomewide Association Study of Leisure-Time Exercise Behavior in Japanese Adults

Author

HARA, MEGUMI, HACHIYA, TSUYOSHI, SUTOH, YOICHI, MATSUO, KEITARO, NISHIDA, YUICHIRO, SHIMANOE, CHISATO, TANAKA, KEITARO, SHIMIZU, ATSUSHI, OHNAKA, KEIZO, KAWAGUCHI, TAKAHISA, OZE, ISAO, MATSUDA, FUMIHIKO, ITO, HIDEMI, KAWAI, SAYO, HISHIDA, ASAHI, OKADA, RIEKO, SASAKABE, TAE, HIRATA, AKIE, IBUSUKI, RIE, NINDITA, YORA, FURUSYO, NORIHIRO, IKEZAKI, HIROAKI, KURIYAMA, NAGATO, OZAKI, ETSUKO, MIKAMI, HARUO, NAKAMURA, YOHKO, SUZUKI, SADAO, HOSONO, AKIHIRO, KATSUURA-KAMANO, SAKURAKO, ARISAWA, KOKICHI, KURIKI, KIYONORI, ENDOH, KAORI, TAKASHIMA, NAOYUKI, KADOTA, AYA, NAKATOCHI, MASAHIRO, MOMOZAWA, YUKIHIDE, KUBO, MICHIAKI, NAITO, MARIKO, and WAKAI, KENJI

Published
2018
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21. Genetic polymorphism of pleiotrophin is associated with pain experience in Japanese adults: Case-control study

Author

Saita, Kosuke, primary, Sumitani, Masahiko, additional, Nishizawa, Daisuke, additional, Tamura, Takashi, additional, Ikeda, Kazutaka, additional, Wakai, Kenji, additional, Sudo, Yoshika, additional, Abe, Hiroaki, additional, Otonari, Jun, additional, Ikezaki, Hiroaki, additional, Takeuchi, Kenji, additional, Hishida, Asahi, additional, Tanaka, Keitaro, additional, Shimanoe, Chisato, additional, Takezaki, Toshiro, additional, Ibusuki, Rie, additional, Oze, Isao, additional, Ito, Hidemi, additional, Ozaki, Etsuko, additional, Matsui, Daisuke, additional, Nakamura, Yohko, additional, Kusakabe, Miho, additional, Suzuki, Sadao, additional, Nakagawa-Senda, Hiroko, additional, Arisawa, Kokichi, additional, Katsuura-Kamano, Sakurako, additional, Kuriki, Kiyonori, additional, Kita, Yoshikuni, additional, Nakamura, Yasuyuki, additional, Momozawa, Yukihide, additional, and Uchida, Kanji, additional

Published
2022
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23. Genetic polymorphism of pleiotrophin is associated with pain experience in Japanese adults Case-control study

Author

Saita, Kosuke, Sumitani, Masahiko, Nishizawa, Daisuke, Tamura, Takashi, Ikeda, Kazutaka, Wakai, Kenji, Sudo, Yoshika, Abe, Hiroaki, Otonari, Jun, Ikezaki, Hiroaki, Takeuchi, Kenji, Hishida, Asahi, Tanaka, Keitaro, Shimanoe, Chisato, Takezaki, Toshiro, Ibusuki, Rie, Oze, Isao, Ito, Hidemi, Ozaki, Etsuko, Matsui, Daisuke, Nakamura, Yohko, Kusakabe, Miho, Suzuki, Sadao, Nakagawa-Senda, Hiroko, Arisawa, Kokichi, Katsuura-Kamano, Sakurako, Kuriki, Kiyonori, Kita, Yoshikuni, Nakamura, Yasuyuki, Momozawa, Yukihide, Uchida, Kanji, Saita, Kosuke, Sumitani, Masahiko, Nishizawa, Daisuke, Tamura, Takashi, Ikeda, Kazutaka, Wakai, Kenji, Sudo, Yoshika, Abe, Hiroaki, Otonari, Jun, Ikezaki, Hiroaki, Takeuchi, Kenji, Hishida, Asahi, Tanaka, Keitaro, Shimanoe, Chisato, Takezaki, Toshiro, Ibusuki, Rie, Oze, Isao, Ito, Hidemi, Ozaki, Etsuko, Matsui, Daisuke, Nakamura, Yohko, Kusakabe, Miho, Suzuki, Sadao, Nakagawa-Senda, Hiroko, Arisawa, Kokichi, Katsuura-Kamano, Sakurako, Kuriki, Kiyonori, Kita, Yoshikuni, Nakamura, Yasuyuki, Momozawa, Yukihide, and Uchida, Kanji

Abstract

Genetic factors play a role in individual differences in pain experience. Here, we performed a genome-wide association study (GWAS) to identify novel loci regulating pain processing. We conducted a 2-stage GWAS and the candidate single-nucleotide polymorphisms (SNPs) association study on pain experience using an exploratory cohort of patients with cancer pain. The confirmatory cohort comprised of participants from the general population with and without habitual use of analgesic medication. In the exploratory cohort, we evaluated pain intensity using a numerical rating scale, recorded daily opioid dosages, and calculated pain reduction rate. In the confirmatory cohort, pain experience was defined as habitual nonsteroidal anti-inflammatory drug usage. Using linear regression models, we identified candidate SNP in the exploratory samples, and tested the association between phenotype and experienced pain in the confirmatory samples. We found 1 novel SNP (rs11764598)—located on the gene encoding for pleiotrophin on chromosome 7—that passed the genome-wide suggestive significance at 20% false discovery rate (FDR) correction in the exploratory samples of patients with cancer pain (P = 1.31 × 10-7, FDR = 0.101). We confirmed its significant association with daily analgesic usage in the confirmatory cohort (P = .028), although the minor allele affected pain experience in an opposite manner. We identified a novel genetic variant associated with pain experience. Further studies are required to validate the role of pleiotrophin in pain processing.

Published
2022

24. Assessing the Relationship Between High-sensitivity C-reactive Protein and Kidney Function Employing Mendelian Randomization in the Japanese Community-based J-MICC Study

Author

Fujii, Ryosuke, Hishida, Asahi, Nishiyama, Takeshi, Nakatochi, Masahiro, Matsuo, Keitaro, Ito, Hidemi, Nishida, Yuichiro, Shimanoe, Chisato, Nakamura, Yasuyuki, Turin, Tanvir Chowdhury, Suzuki, Sadao, Watanabe, Miki, Ibusuki, Rie, Takezaki, Toshiro, Mikami, Haruo, Nakamura, Yohko, Ikezaki, Hiroaki, Murata, Masayuki, Kuriki, Kiyonori, Kuriyama, Nagato, Matsui, Daisuke, Arisawa, Kokichi, Katsuura-Kamano, Sakurako, Tsukamoto, Mineko, Tamura, Takashi, Kubo, Yoko, Kondo, Takaaki, Momozawa, Yukihide, Kubo, Michiaki, Takeuchi, Kenji, Wakai, Kenji, Fujii, Ryosuke, Hishida, Asahi, Nishiyama, Takeshi, Nakatochi, Masahiro, Matsuo, Keitaro, Ito, Hidemi, Nishida, Yuichiro, Shimanoe, Chisato, Nakamura, Yasuyuki, Turin, Tanvir Chowdhury, Suzuki, Sadao, Watanabe, Miki, Ibusuki, Rie, Takezaki, Toshiro, Mikami, Haruo, Nakamura, Yohko, Ikezaki, Hiroaki, Murata, Masayuki, Kuriki, Kiyonori, Kuriyama, Nagato, Matsui, Daisuke, Arisawa, Kokichi, Katsuura-Kamano, Sakurako, Tsukamoto, Mineko, Tamura, Takashi, Kubo, Yoko, Kondo, Takaaki, Momozawa, Yukihide, Kubo, Michiaki, Takeuchi, Kenji, and Wakai, Kenji

Abstract

Background: Inflammation is thought to be a risk factor for kidney disease. However, whether inflammatory status is either a cause or an outcome of chronic kidney disease remains controversial. We aimed to investigate the causal relationship between high-sensitivity C-reactive protein (hs-CRP) and estimated glomerular filtration rate (eGFR) using Mendelian randomization (MR) approaches. Methods: A total of 10,521 participants of the Japan Multi-institutional Collaborative Cohort Study was analyzed in this study. We used two-sample MR approaches (the inverse-variance weighted (IVW), the weighted median (WM), and the MR-Egger method) to estimate the effect of genetically determined hs-CRP on kidney function. We selected four and three hs-CRP associated single nucleotide polymorphisms (SNPs) as two instrumental variables (IV): IVCRP and IVAsian, based on SNPs previously identified in European and Asian populations. IVCRP and IVAsian explained 3.4% and 3.9% of the variation in hs-CRP, respectively. Results: Using the IVCRP, genetically determined hs-CRP was not significantly associated with eGFR in the IVW and the WM methods (estimate per 1 unit increase in ln(hs-CRP), 0.000; 95% confidence interval [CI], −0.019 to 0.020 and −0.003; 95% CI, −0.019 to 0.014, respectively). For IVAsian, we found similar results using the IVW and the WM methods (estimate, 0.005; 95% CI, −0.020 to 0.010 and −0.004; 95% CI, −0.020 to 0.012, respectively). The MR-Egger method also showed no causal relationships between hs-CRP and eGFR (IVCRP: −0.008; 95% CI, −0.058 to 0.042; IVAsian: 0.001; 95% CI, −0.036 to 0.036). Conclusion: Our two-sample MR analyses with different IVs did not support a causal effect of hs-CRP on eGFR.

Published
2022

25. Additional file 2 of Application of objective structured clinical examination (OSCE) for the evaluation of Kampo medicine training

Author

Amitani, Marie, Amitani, Haruka, Suzuki, Hajime, Kawazu, Suguru, Mizuma, Kimiko, Yamaguchi, Kojiro, Oki, Toshimichi, Nitta, Hideaki, Sonoda, Takuro, Kawano, Keiko, Tanaka, Yasuhiro, Uto, Nanami, Ibusuki, Rie, Arita, Ryutaro, Takayama, Shin, Mitsuma, Tadamichi, Takezaki, Toshiro, Asakawa, Akihiro, and Owaki, Tetsuhiro

Subjects
Data_FILES
Abstract

Additional file 2. Scenario for simulated patients.

Published
2022
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26. Additional file 4 of Application of objective structured clinical examination (OSCE) for the evaluation of Kampo medicine training

Author

Amitani, Marie, Amitani, Haruka, Suzuki, Hajime, Kawazu, Suguru, Mizuma, Kimiko, Yamaguchi, Kojiro, Oki, Toshimichi, Nitta, Hideaki, Sonoda, Takuro, Kawano, Keiko, Tanaka, Yasuhiro, Uto, Nanami, Ibusuki, Rie, Arita, Ryutaro, Takayama, Shin, Mitsuma, Tadamichi, Takezaki, Toshiro, Asakawa, Akihiro, and Owaki, Tetsuhiro

Subjects
Data_FILES
Abstract

Additional file 4. Characteristics of the participants.

Published
2022
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27. Additional file 3 of Application of objective structured clinical examination (OSCE) for the evaluation of Kampo medicine training

Author

Amitani, Marie, Amitani, Haruka, Suzuki, Hajime, Kawazu, Suguru, Mizuma, Kimiko, Yamaguchi, Kojiro, Oki, Toshimichi, Nitta, Hideaki, Sonoda, Takuro, Kawano, Keiko, Tanaka, Yasuhiro, Uto, Nanami, Ibusuki, Rie, Arita, Ryutaro, Takayama, Shin, Mitsuma, Tadamichi, Takezaki, Toshiro, Asakawa, Akihiro, and Owaki, Tetsuhiro

Abstract

Additional file 3. Assessmentchart.

Published
2022
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28. Additional file 1 of Application of objective structured clinical examination (OSCE) for the evaluation of Kampo medicine training

Author

Amitani, Marie, Amitani, Haruka, Suzuki, Hajime, Kawazu, Suguru, Mizuma, Kimiko, Yamaguchi, Kojiro, Oki, Toshimichi, Nitta, Hideaki, Sonoda, Takuro, Kawano, Keiko, Tanaka, Yasuhiro, Uto, Nanami, Ibusuki, Rie, Arita, Ryutaro, Takayama, Shin, Mitsuma, Tadamichi, Takezaki, Toshiro, Asakawa, Akihiro, and Owaki, Tetsuhiro

Abstract

Additional file 1. Competency,Blueprint and Basic terms of Kampo medicine.

Published
2022
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29. Additional file 5 of Application of objective structured clinical examination (OSCE) for the evaluation of Kampo medicine training

Author

Amitani, Marie, Amitani, Haruka, Suzuki, Hajime, Kawazu, Suguru, Mizuma, Kimiko, Yamaguchi, Kojiro, Oki, Toshimichi, Nitta, Hideaki, Sonoda, Takuro, Kawano, Keiko, Tanaka, Yasuhiro, Uto, Nanami, Ibusuki, Rie, Arita, Ryutaro, Takayama, Shin, Mitsuma, Tadamichi, Takezaki, Toshiro, Asakawa, Akihiro, and Owaki, Tetsuhiro

Subjects
Data_FILES
Abstract

Additional file 5. Kampo-OSCE time schedule.

Published
2022
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30. Effect of the interaction between physical activity and estimated macronutrient intake on HbA1c: population-based cross-sectional and longitudinal studies

Author

Furukawa, Takuma, primary, Nishida, Yuichiro, additional, Hara, Megumi, additional, Shimanoe, Chisato, additional, Koga, Kayoko, additional, Iwasaka, Chiharu, additional, Higaki, Yasuki, additional, Tanaka, Keitaro, additional, Nakashima, Ryoko, additional, Ikezaki, Hiroaki, additional, Hishida, Asahi, additional, Tamura, Takashi, additional, Kato, Yasufumi, additional, Tamada, Yudai, additional, Matsuo, Keitaro, additional, Ito, Hidemi, additional, Mikami, Haruo, additional, Kusakabe, Miho, additional, Ibusuki, Rie, additional, Shibuya, Keiichi, additional, Suzuki, Sadao, additional, Nakagawa-Senda, Hiroko, additional, Ozaki, Etsuko, additional, Matsui, Daisuke, additional, Kuriki, Kiyonori, additional, Nakamura, Yasuyuki, additional, Kadota, Aya, additional, Arisawa, Kokichi, additional, Katsuura-Kamano, Sakurako, additional, Takeuchi, Kenji, additional, and Wakai, Kenji, additional

Published
2022
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32. Study Profile of the Japan Multi-institutional Collaborative Cohort (J-MICC) Study

Author

Takeuchi, Kenji, primary, Naito, Mariko, additional, Kawai, Sayo, additional, Tsukamoto, Mineko, additional, Kadomatsu, Yuka, additional, Kubo, Yoko, additional, Okada, Rieko, additional, Nagayoshi, Mako, additional, Tamura, Takashi, additional, Hishida, Asahi, additional, Nakatochi, Masahiro, additional, Sasakabe, Tae, additional, Hashimoto, Shuji, additional, Eguchi, Hidetaka, additional, Momozawa, Yukihide, additional, Ikezaki, Hiroaki, additional, Murata, Masayuki, additional, Furusyo, Norihiro, additional, Tanaka, Keitaro, additional, Hara, Megumi, additional, Nishida, Yuichiro, additional, Matsuo, Keitaro, additional, Ito, Hidemi, additional, Oze, Isao, additional, Mikami, Haruo, additional, Nakamura, Yohko, additional, Kusakabe, Miho, additional, Takezaki, Toshiro, additional, Ibusuki, Rie, additional, Shimoshikiryo, Ippei, additional, Suzuki, Sadao, additional, Nishiyama, Takeshi, additional, Watanabe, Miki, additional, Koyama, Teruhide, additional, Ozaki, Etsuko, additional, Watanabe, Isao, additional, Kuriki, Kiyonori, additional, Kita, Yoshikuni, additional, Ueshima, Hirotsugu, additional, Matsui, Kenji, additional, Arisawa, Kokichi, additional, Uemura, Hirokazu, additional, Katsuura-Kamano, Sakurako, additional, Nakamura, Sho, additional, Narimatsu, Hiroto, additional, Hamajima, Nobuyuki, additional, Tanaka, Hideo, additional, and Wakai, Kenji, additional

Published
2021
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33. The interaction between ABCA1 polymorphism and physical activity on the HDL-cholesterol levels in a Japanese population

Author

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

Subjects
exercise, nutritional and metabolic diseases, lipids (amino acids, peptides, and proteins), epidemiology, genetics, high density lipoprotein-cholesterol, polymorphisms, cholesterol efflux, adenosine 5′-triphosphate binding cassette transporter A1
Abstract

Few studies have investigated the interactions between HDL-C-related SNPs identified by genome-wide association (GWA) study and physical activity (PA) on HDL-C. First, we conducted a sex-stratified GWA study in a discovery sample (2,231 men and 2,431 women) and replication sample (2,599 men and 3,109 women) to identify SNPs influencing log-transformed HDL-C in Japanese participants in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. We also replicated previously reported HDL-C-related SNPs in a combined (discovery plus replication) sample (4,830 men and 5,540 women). We then analyzed the interactions of the HDL-C-related SNPs with PA on HDL-C. The sex-stratified GWA analyses identified 11 and 10 HDL-C-related SNPs in men and women as targets for an interaction analysis. Among these, only one interaction of ABCA1 rs1883025 with PA was statistically significant in men, after Bonferroni correction [P-interaction = 0.001 (α = 0.05/21 = 0.002)]. The per-major-allele (C allele) increase in log-transformed HDL-C was lost in men with low PA (β = 0.008) compared with those with medium (β = 0.032) or high PA (β = 0.034). These findings suggest that the benefit of carrying a C allele of ABCA1 rs1883025 on enhancing HDL-C may be attenuated in inactive men.

Published
2019

34. Application of Objective Structured Clinical Examinations (OSCE) for The Evaluation of Kampo Medicine Training

Author

Amitani, Marie, primary, Amitani, Haruka, additional, Suzuki, Hajime, additional, Kawazu, Suguru, additional, Mizuma, Kimiko, additional, Yamaguchi, Kojiro, additional, Oki, Toshimichi, additional, Nitta, Hideaki, additional, Sonoda, Takuro, additional, Kawano, Keiko, additional, Tanaka, Yasuhiro, additional, Uto, Nanami, additional, Ibusuki, Rie, additional, Arita, Ryutaro, additional, Takayama, Shin, additional, Mitsuma, Tadamichi, additional, Takezaki, Toshiro, additional, Asakawa, Akihiro, additional, and Owaki, Tetsuhiro, additional

Published
2021
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35. A Proposal for Practical Diagnosis of Renal Hypouricemia: Evidenced from Genetic Studies of Nonfunctional Variants of URAT1/SLC22A12 among 30,685 Japanese Individuals

Author

Kawamura, Yusuke, primary, Nakayama, Akiyoshi, additional, Shimizu, Seiko, additional, Toyoda, Yu, additional, Nishida, Yuichiro, additional, Hishida, Asahi, additional, Katsuura-Kamano, Sakurako, additional, Shibuya, Kenichi, additional, Tamura, Takashi, additional, Kawaguchi, Makoto, additional, Suzuki, Satoko, additional, Iwasawa, Satoko, additional, Nakashima, Hiroshi, additional, Ibusuki, Rie, additional, Uemura, Hirokazu, additional, Hara, Megumi, additional, Takeuchi, Kenji, additional, Takada, Tappei, additional, Tsunoda, Masashi, additional, Arisawa, Kokichi, additional, Takezaki, Toshiro, additional, Tanaka, Keitaro, additional, Ichida, Kimiyoshi, additional, Wakai, Kenji, additional, Shinomiya, Nariyoshi, additional, and Matsuo, Hirotaka, additional

Published
2021
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36. A Proposal for Practical Diagnosis of Renal Hypouricemia : Evidenced from Genetic Studies of Nonfunctional Variants of URAT1/SLC22A12 among 30,685 Japanese Individuals

Author

Kawamura, Yusuke, Nakayama, Akiyoshi, Shimizu, Seiko, Toyoda, Yu, Nishida, Yuichiro, Hishida, Asahi, Katsuura-Kamano, Sakurako, Shibuya, Kenichi, Tamura, Takashi, Kawaguchi, Makoto, Suzuki, Satoko, Iwasawa, Satoko, Nakashima, Hiroshi, Ibusuki, Rie, Uemura, Hirokazu, Hara, Megumi, Takeuchi, Kenji, Takada, Tappei, Tsunoda, Masashi, Arisawa, Kokichi, Takezaki, Toshiro, Tanaka, Keitaro, Ichida, Kimiyoshi, Wakai, Kenji, Shinomiya, Nariyoshi, Matsuo, Hirotaka, Kawamura, Yusuke, Nakayama, Akiyoshi, Shimizu, Seiko, Toyoda, Yu, Nishida, Yuichiro, Hishida, Asahi, Katsuura-Kamano, Sakurako, Shibuya, Kenichi, Tamura, Takashi, Kawaguchi, Makoto, Suzuki, Satoko, Iwasawa, Satoko, Nakashima, Hiroshi, Ibusuki, Rie, Uemura, Hirokazu, Hara, Megumi, Takeuchi, Kenji, Takada, Tappei, Tsunoda, Masashi, Arisawa, Kokichi, Takezaki, Toshiro, Tanaka, Keitaro, Ichida, Kimiyoshi, Wakai, Kenji, Shinomiya, Nariyoshi, and Matsuo, Hirotaka

Abstract

Background: Renal hypouricemia (RHUC) is characterized by a low serum uric acid (SUA) level and high fractional excretion of uric acid (FEUA). Further studies on FEUA in hypouricemic individuals are needed for a more accurate diagnosis of RHUC. Methods: In 30,685 Japanese health-examination participants, we genotyped the two most common nonfunctional variants of URAT1 (NFV-URAT1), W258X (rs121907892) and R90H (rs121907896), in 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) and 2240 individuals with FEUA data. The effects of NFV-URAT1 on FEUA and SUA were also investigated using linear and multiple regression analyses. Results: Frequency of hypouricemic individuals (SUA ≤ 3.0 mg/dL) was 0.97% (male) and 6.94% (female) among 30,685 participants. High frequencies of those having at least one allele of NFV-URAT1 were observed in 1040 hypouricemic individuals. Furthermore, NFV-URAT1 significantly increased FEUA and decreased SUA, enabling FEUA and SUA levels to be estimated. Conversely, FEUA and SUA data of hypouricemic individuals are revealed to be useful to predict the number of NFV-URAT1. Conclusions: Our findings reveal that specific patterns of FEUA and SUA data assist with predicting the number of nonfunctional variants of causative genes for RHUC, and can also be useful for practical diagnosis of RHUC even before genetic tests.

Published
2021

37. A genome-wide association study on meat consumption in a Japanese population : the Japan Multi-Institutional Collaborative Cohort study

Author

Nakamura, Yasuyuki, Narita, Akira, Sutoh, Yoichi, Imaeda, Nahomi, Goto, Chiho, Matsui, Kenji, Takashima, Naoyuki, Kadota, Aya, Miura, Katsuyuki, Nakatochi, Masahiro, Tamura, Takashi, Hishida, Asahi, Nakashima, Ryoko, Ikezaki, Hiroaki, Hara, Megumi, Nishida, Yuichiro, Takezaki, Toshiro, Ibusuki, Rie, Oze, Isao, Ito, Hidemi, Kuriyama, Nagato, Ozaki, Etsuko, Mikami, Haruo, Kusakabe, Miho, Nakagawa-Senda, Hiroko, Suzuki, Sadao, Katsuura-Kamano, Sakurako, Arisawa, Kokichi, Kuriki, Kiyonori, Momozawa, Yukihide, Kubo, Michiaki, Takeuchi, Kenji, Kita, Yoshikuni, Wakai, Kenji, Nakamura, Yasuyuki, Narita, Akira, Sutoh, Yoichi, Imaeda, Nahomi, Goto, Chiho, Matsui, Kenji, Takashima, Naoyuki, Kadota, Aya, Miura, Katsuyuki, Nakatochi, Masahiro, Tamura, Takashi, Hishida, Asahi, Nakashima, Ryoko, Ikezaki, Hiroaki, Hara, Megumi, Nishida, Yuichiro, Takezaki, Toshiro, Ibusuki, Rie, Oze, Isao, Ito, Hidemi, Kuriyama, Nagato, Ozaki, Etsuko, Mikami, Haruo, Kusakabe, Miho, Nakagawa-Senda, Hiroko, Suzuki, Sadao, Katsuura-Kamano, Sakurako, Arisawa, Kokichi, Kuriki, Kiyonori, Momozawa, Yukihide, Kubo, Michiaki, Takeuchi, Kenji, Kita, Yoshikuni, and Wakai, Kenji

Abstract

Recent genome-wide association studies (GWAS) on the dietary habits of the Japanese population have shown that an effect rs671 allele was inversely associated with fish consumption, whereas it was directly associated with coffee consumption. Although meat is a major source of protein and fat in the diet, whether genetic factors that influence meat-eating habits in healthy populations are unknown. This study aimed to conduct a GWAS to find genetic variations that affect meat consumption in a Japanese population. We analysed GWAS data using 14 076 participants from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study. We used a semi-quantitative food frequency questionnaire to estimate food intake that was validated previously. Association of the imputed variants with total meat consumption per 1000 kcal energy was performed by linear regression analysis with adjustments for age, sex, and principal component analysis components 1–10. We found that no genetic variant, including rs671, was associated with meat consumption. The previously reported single nucleotide polymorphisms that were associated with meat consumption in samples of European ancestry could not be replicated in our J-MICC data. In conclusion, significant genetic factors that affect meat consumption were not observed in a Japanese population.

Published
2021

38. Effective learning strategies for Japanese Kampo medicine using problem‐based learning and simulator training for medical students: A questionnaire survey

Author

Amitani, Marie, primary, Amitani, Haruka, additional, Suzuki, Hajime, additional, Kawazu, Suguru, additional, Fukumoto, Takamasa, additional, Yamaguchi, Kojiro, additional, Oki, Toshimichi, additional, Nitta, Hideaki, additional, Sonoda, Takuro, additional, Uto, Nanami, additional, Numata, Mayumi, additional, Mizuma, Kimiko, additional, Ibusuki, Rie, additional, Takezaki, Toshiro, additional, Owaki, Tetsuhiro, additional, and Asakawa, Akihiro, additional

Published
2021
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41. Moderate-to-vigorous Physical Activity and Sedentary Behavior Are Independently Associated With Renal Function: A Cross-sectional Study

Author

Hara, Megumi, primary, Nishida, Yuichiro, additional, Tanaka, Keitaro, additional, Shimanoe, Chisato, additional, Koga, Kayoko, additional, Furukawa, Takuma, additional, Higaki, Yasuki, additional, Shinchi, Koichi, additional, Ikezaki, Hiroaki, additional, Murata, Masayuki, additional, Takeuchi, Kenji, additional, Tamura, Takashi, additional, Hishida, Asahi, additional, Tsukamoto, Mineko, additional, Kadomatsu, Yuka, additional, Matsuo, Keitaro, additional, Oze, Isao, additional, Mikami, Haruo, additional, Kusakabe, Miho, additional, Takezaki, Toshiro, additional, Ibusuki, Rie, additional, Suzuki, Sadao, additional, Nakagawa-Senda, Hiroko, additional, Matsui, Daisuke, additional, Koyama, Teruhide, additional, Kuriki, Kiyonori, additional, Takashima, Naoyuki, additional, Nakamura, Yasuyuki, additional, Arisawa, Kokichi, additional, Katsuura-Kamano, Sakurako, additional, and Wakai, Kenji, additional

Published
2021
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42. Population-Based Impact of Smoking, Drinking, and Genetic Factors on HDL-Cholesterol Levels in J-MICC Study Participants

Author

Nindita, Yora, primary, Nakatochi, Masahiro, additional, Ibusuki, Rie, additional, Shimoshikiryo, Ippei, additional, Nishimoto, Daisaku, additional, Shimatani, Keiichi, additional, Takezaki, Toshiro, additional, Ikezaki, Hiroaki, additional, Murata, Masayuki, additional, Hara, Megumi, additional, Nishida, Yuichiro, additional, Tamura, Takashi, additional, Hishida, Asahi, additional, Nagayoshi, Mako, additional, Okada, Rieko, additional, Matsuo, Keitaro, additional, Ito, Hidemi, additional, Mikami, Haruo, additional, Nakamura, Yohko, additional, Otani, Takahiro, additional, Suzuki, Sadao, additional, Koyama, Teruhide, additional, Ozaki, Etsuko, additional, Kuriki, Kiyonori, additional, Takashima, Naoyuki, additional, Miyagawa, Naoko, additional, Arisawa, Kokichi, additional, Katsuura-Kamao, Sakurako, additional, Momozawa, Yukihide, additional, Kubo, Michiaki, additional, Takeuchi, Kenji, additional, and Wakai, Kenji, additional

Published
2021
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43. Association between alcohol intake pattern and metabolic syndrome components and simulated change by alcohol intake reduction: A cross-sectional study from the Japan Multi-Institutional Collaborative Cohort Study

Author

Shimoshikiryo, Ippei, primary, Ibusuki, Rie, additional, Shimatani, Keiichi, additional, Nishimoto, Daisaku, additional, Takezaki, Toshiro, additional, Nishida, Yuichiro, additional, Shimanoe, Chisato, additional, Hishida, Asahi, additional, Tamura, Takashi, additional, Okada, Rieko, additional, Kubo, Yoko, additional, Ozaki, Etsuko, additional, Matsui, Daisuke, additional, Suzuki, Sadao, additional, Nakagawa-Senda, Hiroko, additional, Kuriki, Kiyonori, additional, Kita, Yoshikuni, additional, Takashima, Naoyuki, additional, Arisawa, Kokichi, additional, Uemura, Hirokazu, additional, Ikezaki, Hiroaki, additional, Furusyo, Norihiro, additional, Oze, Isao, additional, Koyanagi, Yuriko N., additional, Mikami, Haruo, additional, Nakamura, Yohko, additional, Naito, Mariko, additional, and Wakai, Kenji, additional

Published
2020
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44. Genetic Variants of RAMP2 and CLR are Associated with Stroke

Author

Koyama, Teruhide, Kuriyama, Nagato, Ozaki, Etsuko, Matsui, Daisuke, Watanabe, Isao, Takeshita, Wakiko, Iwai, Komei, Watanabe, Yoshiyuki, Nakatochi, Masahiro, Shimanoe, Chisato, Tanaka, Keitaro, Oze, Isao, Ito, Hidemi, Uemura, Hirokazu, Katsuura-Kamano, Sakurako, Ibusuki, Rie, Shimoshikiryo, Ippei, Takashima, Naoyuki, Kadota, Aya, Kawai, Sayo, Sasakabe, Tae, Okada, Rieko, Hishida, Asahi, Naito, Mariko, Kuriki, Kiyonori, Endoh, Kaori, Furusyo, Norihiro, Ikezaki, Hiroaki, Suzuki, Sadao, Hosono, Akihiro, Mikami, Haruo, Nakamura, Yohko, Kubo, Michiaki, and Wakai, Kenji

Subjects
Male, Calcitonin Receptor-Like Protein, Calcitonin-receptor-like receptor, Middle Aged, Receptor activity-modifying protein 2, Prognosis, Polymorphism, Single Nucleotide, Cohort Studies, Stroke, Adrenomedullin, Cross-Sectional Studies, Humans, Original Article, Female, Biomarkers, Follow-Up Studies
Abstract

Aim: Stroke is associated closely with vascular homeostasis, and several complex processes and interacting pathways, which involve various genetic and environmental factors, contribute to the risk of stroke. Although adrenomedullin (ADM) has a number of physiological and vasoprotective functions, there are few studies of the ADM receptor system in humans. The ADM receptor comprises a calcitonin-receptor-like receptor (CLR) and receptor activity-modifying proteins (RAMPs). We analyzed single nucleotide polymorphisms (SNPs) in the RAMP2 and CLR genes to determine their association with stroke in the light of gene-environment interactions. Methods: Using cross-sectional data from the Japan Multi-Institutional Collaborative Cohort Study in the baseline surveys, 14,087 participants from 12 research areas were genotyped. We conducted a hypothesis-based association between stroke prevalence and SNPs in the RAMP2 and CLR genes based on data abstracted from two SNPs in RAMP2 and 369 SNPs in CLR. We selected five SNPs from among the CLR variants (rs77035639, rs3815524, rs75380157, rs574603859, and rs147565266) and one RAMP2 SNP (rs753152), which were associated with stroke, for analysis. Results: Five of the SNPs (rs77035639, rs3815524, rs75380157, rs147565266, and rs753152) showed no significant association with obesity, ischemic heart disease, hypertension, dyslipidemia, and diabetes. In the logistic regression analysis, rs574603859 had a lower odds ratio (0.238; 95% confidence interval, 0.076–0.745, adjusted for age, sex, and research area) and the other SNPs had higher odds ratios for association with stroke. Conclusions: This was the first study to investigate the relationships between ADM receptor genes (RAMP2 and CLR) and stroke in the light of gene-environment interactions in human.

Published
2017

45. Sedentary Time is Associated with Cardiometabolic Diseases in A Large Japanese Population : A Cross-Sectional Study

Author

Koyama, Teruhide, Kuriyama, Nagato, Ozaki, Etsuko, Tomida, Satomi, Uehara, Ritei, Nishida, Yuichiro, Shimanoe, Chisato, Hishida, Asahi, Tamura, Takashi, Tsukamoto, Mineko, Kadomatsu, Yuka, Oze, Isao, Matsuo, Keitaro, Mikami, Haruo, Nakamura, Yohko, Ibusuki, Rie, Takezaki, Toshiro, Suzuki, Sadao, Nishiyama, Takeshi, Kuriki, Kiyonori, Takashima, Naoyuki, Kadota, Aya, Uemura, Hirokazu, Katsuura-Kamano, Sakurako, Ikezaki, Hiroaki, Murata, Masayuki, Takeuchi, Kenji, Wakai, Kenji, Koyama, Teruhide, Kuriyama, Nagato, Ozaki, Etsuko, Tomida, Satomi, Uehara, Ritei, Nishida, Yuichiro, Shimanoe, Chisato, Hishida, Asahi, Tamura, Takashi, Tsukamoto, Mineko, Kadomatsu, Yuka, Oze, Isao, Matsuo, Keitaro, Mikami, Haruo, Nakamura, Yohko, Ibusuki, Rie, Takezaki, Toshiro, Suzuki, Sadao, Nishiyama, Takeshi, Kuriki, Kiyonori, Takashima, Naoyuki, Kadota, Aya, Uemura, Hirokazu, Katsuura-Kamano, Sakurako, Ikezaki, Hiroaki, Murata, Masayuki, Takeuchi, Kenji, and Wakai, Kenji

Abstract

Aim: Accumulating evidence reveals that sedentary behavior is associated with mortality and cardiometabolic disease; however, there are potential age and sex differences in sedentary behavior and health outcomes that have not been adequately addressed. This study aimed to determine the association of sedentary behavior with cardiometabolic diseases such as hypertension, dyslipidemia, diabetes mellitus, and its risk factors in a large Japanese population according to age and sex. Methods: Using data from the Japan Multi-Institutional Collaborative Cohort Study obtained from baseline surveys, data of 62,754 participants (27,930 males, 34,824 females) were analyzed. This study uses a cross-sectional design and self-administered questionnaires to evaluate sedentary time and anamnesis. For the logistic regression analysis, sedentary time ＜5 h/day was used as the reference and then adjusted for age, research areas, leisure-time metabolic equivalents, and alcohol and smoking status. From the analysis of anthropometric and blood examinations, 35,973 participants (17,109 males, 18,864 females) were analyzed. Results: For hypertension and diabetes, sedentary time was associated with a significantly higher proportion of male participants. Both sexes were associated with a significantly higher proportion of participants with dyslipidemia. Participants who had longer sedentary time tended to have increased levels of blood pressure, triglycerides, and non-high-density lipoprotein cholesterol (HDL-C), and decreased levels of HDL-C, especially in the 60–69 years group. Conclusions: Independent of leisure-time physical activity, sedentary time was associated with cardiometabolic diseases in a large Japanese population classified by age and sex. Our findings indicate that regularly interrupting and replacing sedentary time may contribute to better physical health-related quality of life.

Published
2020

46. Genome-wide association study revealed novel loci which aggravate asymptomatic hyperuricaemia into gout

Author

Kawamura, Yusuke, primary, Nakaoka, Hirofumi, additional, Nakayama, Akiyoshi, additional, Okada, Yukinori, additional, Yamamoto, Ken, additional, Higashino, Toshihide, additional, Sakiyama, Masayuki, additional, Shimizu, Toru, additional, Ooyama, Hiroshi, additional, Ooyama, Keiko, additional, Nagase, Mitsuo, additional, Hidaka, Yuji, additional, Shirahama, Yuko, additional, Hosomichi, Kazuyoshi, additional, Nishida, Yuichiro, additional, Shimoshikiryo, Ippei, additional, Hishida, Asahi, additional, Katsuura-Kamano, Sakurako, additional, Shimizu, Seiko, additional, Kawaguchi, Makoto, additional, Uemura, Hirokazu, additional, Ibusuki, Rie, additional, Hara, Megumi, additional, Naito, Mariko, additional, Takao, Mikiya, additional, Nakajima, Mayuko, additional, Iwasawa, Satoko, additional, Nakashima, Hiroshi, additional, Ohnaka, Keizo, additional, Nakamura, Takahiro, additional, Stiburkova, Blanka, additional, Merriman, Tony R, additional, Nakatochi, Masahiro, additional, Ichihara, Sahoko, additional, Yokota, Mitsuhiro, additional, Takada, Tappei, additional, Saitoh, Tatsuya, additional, Kamatani, Yoichiro, additional, Takahashi, Atsushi, additional, Arisawa, Kokichi, additional, Takezaki, Toshiro, additional, Tanaka, Keitaro, additional, Wakai, Kenji, additional, Kubo, Michiaki, additional, Hosoya, Tatsuo, additional, Ichida, Kimiyoshi, additional, Inoue, Ituro, additional, Shinomiya, Nariyoshi, additional, and Matsuo, Hirotaka, additional

Published
2019
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47. Genome-wide association meta-analysis and Mendelian randomization analysis confirm the influence of ALDH2 on sleep durationin the Japanese population

Author

Nishiyama, Takeshi, primary, Nakatochi, Masahiro, additional, Goto, Atsushi, additional, Iwasaki, Motoki, additional, Hachiya, Tsuyoshi, additional, Sutoh, Yoichi, additional, Shimizu, Atsushi, additional, Wang, Chaochen, additional, Tanaka, Hideo, additional, Watanabe, Miki, additional, Hosono, Akihiro, additional, Tamai, Yuya, additional, Yamada, Tamaki, additional, Yamaji, Taiki, additional, Sawada, Norie, additional, Fukumoto, Kentaro, additional, Otsuka, Kotaro, additional, Tanno, Kozo, additional, Tomita, Hiroaki, additional, Kojima, Kaname, additional, Nagasaki, Masao, additional, Hozawa, Atsushi, additional, Hishida, Asahi, additional, Sasakabe, Tae, additional, Nishida, Yuichiro, additional, Hara, Megumi, additional, Ito, Hidemi, additional, Oze, Isao, additional, Nakamura, Yohko, additional, Mikami, Haruo, additional, Ibusuki, Rie, additional, Takezaki, Toshiro, additional, Koyama, Teruhide, additional, Kuriyama, Nagato, additional, Endoh, Kaori, additional, Kuriki, Kiyonori, additional, Turin, Tanvir C, additional, Naoyuki, Takashima, additional, Katsuura-Kamano, Sakurako, additional, Uemura, Hirokazu, additional, Okada, Rieko, additional, Kawai, Sayo, additional, Naito, Mariko, additional, Momozawa, Yukihide, additional, Kubo, Michiaki, additional, Sasaki, Makoto, additional, Yamamoto, Masayuki, additional, Tsugane, Shoichiro, additional, Wakai, Kenji, additional, and Suzuki, Sadao, additional

Published
2019
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48. Genome-wide association study revealed novel loci which aggravate asymptomatic hyperuricaemia into gout

Author

Kawamura, Yusuke, Nakaoka, Hirofumi, Nakayama, Akiyoshi, Okada, Yukinori, Yamamoto, Ken, Higashino, Toshihide, Sakiyama, Masayuki, Shimizu, Toru, Ooyama, Hiroshi, Ooyama, Keiko, Nagase, Mitsuo, Hidaka, Yuji, Shirahama, Yuko, Hosomichi, Kazuyoshi, Nishida, Yuichiro, Shimoshikiryo, Ippei, Hishida, Asahi, Katsuura-Kamano, Sakurako, Shimizu, Seiko, Kawaguchi, Makoto, Uemura, Hirokazu, Ibusuki, Rie, Hara, Megumi, Naito, Mariko, Takao, Mikiya, Nakajima, Mayuko, Iwasawa, Satoko, Nakashima, Hiroshi, Ohnaka, Keizo, Nakamura, Takahiro, Stiburkova, Blanka, Merriman, Tony R, Nakatochi, Masahiro, Ichihara, Sahoko, Yokota, Mitsuhiro, Takada, Tappei, Saitoh, Tatsuya, Kamatani, Yoichiro, Takahashi, Atsushi, Arisawa, Kokichi, Takezaki, Toshiro, Tanaka, Keitaro, Wakai, Kenji, Kubo, Michiaki, Hosoya, Tatsuo, Ichida, Kimiyoshi, Inoue, Ituro, Shinomiya, Nariyoshi, Matsuo, Hirotaka, Kawamura, Yusuke, Nakaoka, Hirofumi, Nakayama, Akiyoshi, Okada, Yukinori, Yamamoto, Ken, Higashino, Toshihide, Sakiyama, Masayuki, Shimizu, Toru, Ooyama, Hiroshi, Ooyama, Keiko, Nagase, Mitsuo, Hidaka, Yuji, Shirahama, Yuko, Hosomichi, Kazuyoshi, Nishida, Yuichiro, Shimoshikiryo, Ippei, Hishida, Asahi, Katsuura-Kamano, Sakurako, Shimizu, Seiko, Kawaguchi, Makoto, Uemura, Hirokazu, Ibusuki, Rie, Hara, Megumi, Naito, Mariko, Takao, Mikiya, Nakajima, Mayuko, Iwasawa, Satoko, Nakashima, Hiroshi, Ohnaka, Keizo, Nakamura, Takahiro, Stiburkova, Blanka, Merriman, Tony R, Nakatochi, Masahiro, Ichihara, Sahoko, Yokota, Mitsuhiro, Takada, Tappei, Saitoh, Tatsuya, Kamatani, Yoichiro, Takahashi, Atsushi, Arisawa, Kokichi, Takezaki, Toshiro, Tanaka, Keitaro, Wakai, Kenji, Kubo, Michiaki, Hosoya, Tatsuo, Ichida, Kimiyoshi, Inoue, Ituro, Shinomiya, Nariyoshi, and Matsuo, Hirotaka

Abstract

Objective The first ever genome-wide association study (GWAS) of clinically defined gout cases and asymptomatic hyperuricaemia (AHUA) controls was performed to identify novel gout loci that aggravate AHUA into gout. Methods We carried out a GWAS of 945 clinically defined gout cases and 1003 AHUA controls followed by 2 replication studies. In total, 2860 gout cases and 3149 AHUA controls (all Japanese men) were analysed. We also compared the ORs for each locus in the present GWAS (gout vs AHUA) with those in the previous GWAS (gout vs normouricaemia). Results This new approach enabled us to identify two novel gout loci (rs7927466 of CNTN5 and rs9952962 of MIR302F) and one suggestive locus (rs12980365 of ZNF724) at the genome-wide significance level (p<5.0×10– 8). The present study also identified the loci of ABCG2, ALDH2 and SLC2A9. One of them, rs671 of ALDH2, was identified as a gout locus by GWAS for the first time. Comparing ORs for each locus in the present versus the previous GWAS revealed three ‘gout vs AHUA GWAS’-specific loci (CNTN5, MIR302F and ZNF724) to be clearly associated with mechanisms of gout development which distinctly differ from the known gout risk loci that basically elevate serum uric acid level. Conclusions This meta-analysis is the first to reveal the loci associated with crystal-induced inflammation, the last step in gout development that aggravates AHUA into gout. Our findings should help to elucidate the molecular mechanisms of gout development and assist the prevention of gout attacks in high-risk AHUA individuals.

Published
2019

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

Author

Suzuki, Taro, Nakamura, Yasuyuki, Matsuo, Keitaro, Oze, Isao, Doi, Yukio, Narita, Akira, Shimizu, Atsushi, Imaeda, Nahomi, Goto, Chiho, Matsui, Kenji, Nakatochi, Masahiro, Miura, Katsuyuki, Takashima, Naoyuki, Kuriki, Kiyonori, Shimanoe, Chisato, Tanaka, Keitaro, Ikezaki, Hiroaki, Murata, Masayuki, Ibusuki, Rie, and Takezaki, Toshiro

Subjects
RESEARCH, SEQUENCE analysis, RESEARCH methodology, GENETIC polymorphisms, MEDICAL cooperation, EVALUATION research, COMPARATIVE studies, ALCOHOL drinking, DISEASE susceptibility, QUESTIONNAIRES, OXIDOREDUCTASES, LONGITUDINAL method
Abstract

Background/objective: Although benefits of fish consumption for health are well known, a significant percentage of individuals dislike eating fish. Fish consumption may be influenced by genetic factors in addition to environmental factors. We conducted a genome-wide association study (GWAS) to find genetic variations that affect fish consumption in a Japanese population.Methods: We performed a two-stage GWAS on fish consumption using 13,739 discovery samples from the Japan Multi-Institutional Collaborative Cohort study, and 2845 replication samples from the other population. We used a semi-quantitative food frequency questionnaire to estimate food intake. Association of the imputed variants with fish consumption was analyzed by separate linear regression models per variant, with adjustments for age, sex, energy intake, principal component analysis components 1-10, and alcohol intake (g/day). We also performed conditional analysis.Results: We found 27 single nucleotide polymorphisms (SNPs) located in 12q24 and 14q32.12 that were associated with fish consumption. The 19 SNPs were located at 11 genes including six lead SNPs at the BRAP, ACAD10, ALDH2, NAA25, and HECTD4 regions on 12q24.12-13, and CCDC197 region on 14q32.12. In replication samples, all five SNPs located on chromosome 12 were replicated successfully, but the one on chromosome 14 was not. Conditional analyses revealed that the five lead variants in chromosome 12 were in fact the same signal.Conclusion: We found that new SNPs in the 12q24 locus were related to fish intake in two Japanese populations. The associations between SNPs on chromosome 12 and fish intake were strongly confounded by drinking status. [ABSTRACT FROM AUTHOR]

Published
2021
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50. A genome-wide association study in the Japanese population identifies the 12q24 locus for habitual coffee consumption : The J-MICC Study

Author

Nakagawa-Senda, Hiroko, Hachiya, Tsuyoshi, Shimizu, Atsushi, Hosono, Satoyo, Oze, Isao, Watanabe, Miki, Matsuo, Keitaro, Ito, Hidemi, Hara, Megumi, Nishida, Yuichiro, Endoh, Kaori, Kuriki, Kiyonori, Katsuura-Kamano, Sakurako, Arisawa, Kokichi, Nindita, Yora, Ibusuki, Rie, Suzuki, Sadao, Hosono, Akihiro, Mikami, Haruo, Nakamura, Yohko, Takashima, Naoyuki, Nakamura, Yasuyuki, Kuriyama, Nagato, Ozaki, Etsuko, Furusyo, Norihiro, Ikezaki, Hiroaki, Nakatochi, Masahiro, Sasakabe, Tae, Kawai, Sayo, Okada, Rieko, Hishida, Asahi, Naito, Mariko, Wakai, Kenji, Momozawa, Yukihide, Kubo, Michiaki, Tanaka, Hideo, Nakagawa-Senda, Hiroko, Hachiya, Tsuyoshi, Shimizu, Atsushi, Hosono, Satoyo, Oze, Isao, Watanabe, Miki, Matsuo, Keitaro, Ito, Hidemi, Hara, Megumi, Nishida, Yuichiro, Endoh, Kaori, Kuriki, Kiyonori, Katsuura-Kamano, Sakurako, Arisawa, Kokichi, Nindita, Yora, Ibusuki, Rie, Suzuki, Sadao, Hosono, Akihiro, Mikami, Haruo, Nakamura, Yohko, Takashima, Naoyuki, Nakamura, Yasuyuki, Kuriyama, Nagato, Ozaki, Etsuko, Furusyo, Norihiro, Ikezaki, Hiroaki, Nakatochi, Masahiro, Sasakabe, Tae, Kawai, Sayo, Okada, Rieko, Hishida, Asahi, Naito, Mariko, Wakai, Kenji, Momozawa, Yukihide, Kubo, Michiaki, and Tanaka, Hideo

Abstract

Coffee is one of the most widely consumed beverages worldwide, and its role in human health has received much attention. Although genome-wide association studies (GWASs) have investigated genetic variants associated with coffee consumption in European populations, no such study has yet been conducted in an Asian population. Here, we conducted a GWAS to identify common genetic variations that affected coffee consumption in a Japanese population of 11,261 participants recruited as a part of the Japan Multi-Institutional Collaborative Cohort (J-MICC) study. Coffee consumption was collected using a self-administered questionnaire, and converted from categories to cups/day. In the discovery stage (n = 6,312), we found 2 independent loci (12q24.12–13 and 5q33.3) that met suggestive significance (P < 1 × 10−6). In the replication stage (n = 4,949), the lead variant for the 12q24.12–13 locus (rs2074356) was significantly associated with habitual coffee consumption (P = 2.2 × 10−6), whereas the lead variant for the 5q33.3 locus (rs1957553) was not (P = 0.53). A meta-analysis of the discovery and replication populations, and the combined analysis using all subjects, revealed that rs2074356 achieved genome-wide significance (P = 2.2 × 10−16 for a meta-analysis). These findings indicate that the 12q24.12-13 locus is associated with coffee consumption among a Japanese population.

Published
2018

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