Harumitsu Suzuki1,2, Yasuyuki Nakamura3,4, Keitaro Matsuo5,6, Nahomi Imaeda7,8, Chiho Goto8,9, Akira Narita10, Atsushi Shimizu11, Naoyuki Takashima12,13, Kenji Matsui14, Katsuyuki Miura1,12, Masahiro Nakatochi15, Asahi Hishida16, Takashi Tamura16, Yuka Kadomatsu16, Rieko Okada16, Yuichiro Nishida17, Chisato Shimanoe18, Daisaku Nishimoto19, Toshiro Takezaki20, Isao Oze5, Hidemi Ito21,22, Hiroaki Ikezaki23, Masayuki Murata23, Daisuke Matsui24, Etsuko Ozaki24, Haruo Mikami25, Yohko Nakamura25, Sadao Suzuki8, Miki Watanabe8, Kokichi Arisawa26, Hirokazu Uemura26,27, Kiyonori Kuriki28, Yukihide Momozawa29, Michiaki Kubo29, Yoshikuni Kita12,30, Kenji Takeuchi16, Kenji Wakai16. 1. Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan. 2. Department of Hygiene, Wakayama Medical University, Wakayama, Japan. 3. Yamashina Racto Clinic and Medical Examination Center, Kyoto, Japan. nakamura@belle.shiga-med.ac.jp. 4. Department of Public Health, Shiga University of Medical Science, Otsu, Japan. nakamura@belle.shiga-med.ac.jp. 5. Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan. 6. Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan. 7. Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan. 8. Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan. 9. Department of Health and Nutrition, School of Health and Human Life, Nagoya Bunri University, Inazawa, Japan. 10. Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan. 11. Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Shiwa-gun, Iwate, Japan. 12. Department of Public Health, Shiga University of Medical Science, Otsu, Japan. 13. Department of Public Health, Kindai University Faculty of Medicine, Osaka-Sayama, Japan. 14. Division of Bioethics and Healthcare Law, the National Cancer Center, Tokyo, Japan. 15. Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan. 16. Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan. 17. Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan. 18. Department Pharmacy, Saga University Hospital, Saga, Japan. 19. School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan. 20. Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan. 21. Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan. 22. Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan. 23. Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan. 24. Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan. 25. Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan. 26. Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan. 27. Department of Health and Welfare System, College of Nursing Art and Science, University of Hyogo, Akashi, Japan. 28. Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan. 29. Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan. 30. Faculty of Nursing Science, Tsuruga Nursing University, Tsuruga, Japan.
Abstract
BACKGROUND/ OBJECTIVES: Individual eating habits may be influenced by genetic factors, in addition to environmental factors. Previous studies suggested that adherence to Japanese food patterns was associated with a decreased risk of all-cause and cardiovascular disease mortality. We conducted a genome-wide association study (GWAS) in a Japanese population to find genetic variations that affect adherence to a Japanese food pattern. SUBJECTS/ METHODS: We analyzed GWAS data using 14,079 participants from the Japan Multi-Institutional Collaborative Cohort study. We made a Japanese food score based on six food groups. Association of the imputed variants with the Japanese food score was performed by linear regression analysis with adjustments for age, sex, total energy intake, alcohol intake (g/day), and principal components 1-10 omitting variants in the major histocompatibility region. RESULTS: We found one SNP in the 14q11.2 locus that was significantly associated with the Japanese food score with P values <5 × 10-8. Functional annotation revealed that the expression levels of two genes (BCL2L2, SLC22A17) were significantly inversely associated with this SNP. These genes are known to be related to olfaction and obesity. CONCLUSION: We found a new SNP that was associated with the Japanese food score in a Japanese population. This SNP is inversely associated with genes link to olfaction and obesity.
BACKGROUND/ OBJECTIVES: Individual eating habits may be influenced by genetic factors, in addition to environmental factors. Previous studies suggested that adherence to Japanese food patterns was associated with a decreased risk of all-cause and cardiovascular diseasemortality. We conducted a genome-wide association study (GWAS) in a Japanese population to find genetic variations that affect adherence to a Japanese food pattern. SUBJECTS/ METHODS: We analyzed GWAS data using 14,079 participants from the Japan Multi-Institutional Collaborative Cohort study. We made a Japanese food score based on six food groups. Association of the imputed variants with the Japanese food score was performed by linear regression analysis with adjustments for age, sex, total energy intake, alcohol intake (g/day), and principal components 1-10 omitting variants in the major histocompatibility region. RESULTS: We found one SNP in the 14q11.2 locus that was significantly associated with the Japanese food score with P values <5 × 10-8. Functional annotation revealed that the expression levels of two genes (BCL2L2, SLC22A17) were significantly inversely associated with this SNP. These genes are known to be related to olfaction and obesity. CONCLUSION: We found a new SNP that was associated with the Japanese food score in a Japanese population. This SNP is inversely associated with genes link to olfaction and obesity.
Authors: Cath Tyner; Galt P Barber; Jonathan Casper; Hiram Clawson; Mark Diekhans; Christopher Eisenhart; Clayton M Fischer; David Gibson; Jairo Navarro Gonzalez; Luvina Guruvadoo; Maximilian Haeussler; Steve Heitner; Angie S Hinrichs; Donna Karolchik; Brian T Lee; Christopher M Lee; Parisa Nejad; Brian J Raney; Kate R Rosenbloom; Matthew L Speir; Chris Villarreal; John Vivian; Ann S Zweig; David Haussler; Robert M Kuhn; W James Kent Journal: Nucleic Acids Res Date: 2016-11-29 Impact factor: 16.971