Taro Suzuki1, Yasuyuki Nakamura2,3, Keitaro Matsuo4, Isao Oze4, Yukio Doi1, Akira Narita5, Atsushi Shimizu6, Nahomi Imaeda7, Chiho Goto8, Kenji Matsui9, Masahiro Nakatochi10, Katsuyuki Miura11, Naoyuki Takashima11,12, Kiyonori Kuriki13, Chisato Shimanoe14, Keitaro Tanaka14, Hiroaki Ikezaki15,16, Masayuki Murata16, Rie Ibusuki17, Toshiro Takezaki17, Yuriko Koyanagi18, Hidemi Ito18, Daisuke Matsui19, Teruhide Koyama19, Haruo Mikami20, Yohko Nakamura20, Sadao Suzuki21, Takeshi Nishiyama21, Sakurako Katsuura-Kamano22, Kokichi Arisawa22, Kenji Takeuchi23, Takashi Tamura23, Rieko Okada23, Yoko Kubo23, Yukihide Momozawa24, Michiaki Kubo24, Yoshikuni Kita11,25, Kenji Wakai23. 1. Department of Food Science and Human Nutrition, Ryukoku University, Otsu, Japan. 2. Department of Public Health, Shiga University of Medical Science, Otsu, Japan. nakamura@belle.shiga-med.ac.jp. 3. Yamashina Racto Clinic and Medical Examination Center, Kyoto, Japan. nakamura@belle.shiga-med.ac.jp. 4. Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan. 5. Department of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan. 6. Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Shiwa-gun, Iwate, Japan. 7. Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan. 8. Department of Health and Nutrition, School of Health and Human Life, Nagoya Bunri University, Inazawa, Japan. 9. Division of Bioethics and Healthcare Law, Center for Public Health Sciences, The National Cancer Center Japan, Tokyo, Japan. 10. Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan. 11. Department of Public Health, Shiga University of Medical Science, Otsu, Japan. 12. Department of Public Health, Faculty of Medicine, Kindai University Osaka-Sayama, Osaka, Japan. 13. Laboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan. 14. Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan. 15. Department of Comprehensive General Internal Medicine, Kyushu University Graduate School, Faculty of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. 16. Department of General Internal Medicine, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. 17. Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan. 18. Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan. 19. Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan. 20. Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan. 21. Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan. 22. Department of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan. 23. Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan. 24. Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan. 25. Faculty of Nursing Science, Tsuruga Nursing University, Tsuruga, Japan.
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.
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.