https://orcid.org/0000-0003-2666-4932
Department of Preventive Medicine and Public Health, Keio University School of Medicine Institute for Advanced Biosciences, Keio University
https://orcid.org/0000-0001-5527-7574
Department of Preventive Medicine and Public Health, Keio University School of Medicine Institute for Advanced Biosciences, Keio University
https://orcid.org/0000-0002-9148-1078
Department of Preventive Medicine and Public Health, Keio University School of Medicine
https://orcid.org/0000-0003-1439-4242
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
https://orcid.org/0000-0002-7705-9903
Department of Preventive Medicine and Public Health, Keio University School of Medicine
https://orcid.org/0000-0003-0488-0351
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Obstetrics and Gynecology, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Institute for Advanced Biosciences, Keio University Faculty of Environment and Information Studies, Keio University
Institute for Advanced Biosciences, Keio University
Faculty of Nursing and Medical Care and Graduate School of Health Management, Keio University
Department of Preventive Medicine and Public Health, Keio University School of Medicine Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital
Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
https://orcid.org/0000-0003-1863-2260
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Preventive Medicine and Public Health, Keio University School of Medicine
Department of Cardiology, Keio University School of Medicine
Department of Cardiology, Keio University School of Medicine
Department of Cardiology, Keio University School of Medicine Duke Clinical Research Institute
Department of Neurology, Keio University School of Medicine
Department of Neurology, Keio University School of Medicine
Department of Neurology, Keio University School of Medicine Department of Neurology, Tokyo Saiseikai Central Hospital
Department of Neurology, Keio University School of Medicine Department of Neurology and Stroke, Saitama Medical University International Medical Center
Department of Neurology, Keio University School of Medicine
Shonai Hospital
Department of Environmental and Occupational Health, School of Medicine, Toho University
Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
Institute for Advanced Biosciences, Keio University
Institute for Advanced Biosciences, Keio University
Institute for Advanced Biosciences, Keio University
Institute for Advanced Biosciences, Keio University
Institute for Advanced Biosciences, Keio University
Institute for Advanced Biosciences, Keio University
Institute for Advanced Biosciences, Keio University
Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
Department of Preventive Medicine and Public Health, Keio University School of Medicine Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
Department of Preventive Medicine and Public Health, Keio University School of Medicine Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
Division of Biomedical Information Analysis, Institute for Biomedical Sciences of Iwate Medical University Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University
https://orcid.org/0000-0002-8031-8523
Tohoku Medical Megabank Organization, Tohoku University Graduate School of Medicine, Tohoku University
Tohoku Medical Megabank Organization, Tohoku University Graduate School of Information Sciences, Tohoku University Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University Institute of Development, Aging and Cancer, Tohoku University
Tohoku Medical Megabank Organization, Tohoku University
Tohoku Medical Megabank Organization, Tohoku University
Tohoku Medical Megabank Organization, Tohoku University
Tohoku Medical Megabank Organization, Tohoku University
Tohoku Medical Megabank Organization, Tohoku University Graduate School of Medicine, Tohoku University Center for Advanced Intelligence Project, RIKEN
Department of Preventive Medicine and Public Health, Keio University School of Medicine Institute for Advanced Biosciences, Keio University
2024 Volume 34 Issue 8 Pages 393-401
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The Tsuruoka Metabolomics Cohort Study (TMCS) is an ongoing population-based cohort study being conducted in the rural area of Yamagata Prefecture, Japan. This study aimed to enhance the precision prevention of multi-factorial, complex diseases, including non-communicable and aging-associated diseases, by improving risk stratification and prediction measures. At baseline, 11,002 participants aged 35–74 years were recruited in Tsuruoka City, Yamagata Prefecture, Japan, between 2012 and 2015, with an ongoing follow-up survey. Participants underwent various measurements, examinations, tests, and questionnaires on their health, lifestyle, and social factors. This study uses an integrative approach with deep molecular profiling to identify potential biomarkers linked to phenotypes that underpin disease pathophysiology and provide better mechanistic insights into social health determinants. The TMCS incorporates multi-omics data, including genetic and metabolomic analyses of 10,933 participants, and comprehensive data collection ranging from physical, psychological, behavioral, and social to biological data. The metabolome is used as a phenotypic probe because it is sensitive to changes in physiological and external conditions. The TMCS focuses on collecting outcomes for cardiovascular disease, cancer incidence and mortality, disability and functional decline due to aging and disease sequelae, and the variation in health status within the body represented by omics analysis that lies between exposure and disease. It contains several sub-studies on aging, heated tobacco products, and women’s health. This study is notable for its robust design, high participation rate (89%), and long-term repeated surveys. Moreover, it contributes to precision prevention in Japan and East Asia as a well-established multi-omics platform.