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About this Publication
Title
The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies.
Pubmed ID
31155658 (View this publication on the PubMed website)
Digital Object Identifier
Publication
Am J Epidemiol. 2019 Jun 1; Volume 188 (Issue 6): Pages 991-1012
Authors
Yu B, Zanetti KA, Temprosa M, Albanes D, Appel N, Barrera CB, Ben-Shlomo Y, Boerwinkle E, Casas JP, Clish C, Dale C, Dehghan A, Derkach A, Eliassen AH, Elliott P, Fahy E, Gieger C, Gunter MJ, Harada S, Harris T, ...show more Herr DR, Herrington D, Hirschhorn JN, Hoover E, Hsing AW, Johansson M, Kelly RS, Khoo CM, Kivimäki M, Kristal BS, Langenberg C, Lasky-Su J, Lawlor DA, Lotta LA, Mangino M, Le Marchand L, Mathé E, Matthews CE, Menni C, Mucci LA, Murphy R, Oresic M, Orwoll E, Ose J, Pereira AC, Playdon MC, Poston L, Price J, Qi Q, Rexrode K, Risch A, Sampson J, Seow WJ, Sesso HD, Shah SH, Shu XO, Smith GCS, Sovio U, Stevens VL, Stolzenberg-Solomon R, Takebayashi T, Tillin T, Travis R, Tzoulaki I, Ulrich CM, Vasan RS, Verma M, Wang Y, Wareham NJ, Wong A, Younes N, Zhao H, Zheng W, Moore SC
Affiliations
  • Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas.
  • Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland.
  • Department of Epidemiology and Biostatistics Milken Institute School of Public Health, George Washington University, Washington, DC.
  • Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
  • Information Management Services, Inc., Rockville, Maryland.
  • Department of Nephrology, Hospital del Mar, Institut Mar d´Investigacions Mediques, Barcelona, Spain.
  • Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
  • Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, United Kingdom.
  • Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts.
  • Medical Research Council-Public Health England Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
...show more
  • Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Department of Bioengineering, School of Engineering, University of California, San Diego, La Jolla, California.
  • Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
  • Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
  • Laboratory of Epidemiology and Population Science Laboratory.
  • Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Department of Internal Medicine, Division of Cardiology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • Stanford Prevention Research Center, Stanford Cancer Institute, Stanford, California.
  • International Agency for Research on Cancer, Lyon, France.
  • Systems Genetics and Genomics Unit, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Department of Epidemiology and Public Health, University College London, London, United Kingdom.
  • Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom.
  • Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
  • Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom.
  • University of Hawaii Cancer Center, Epidemiology Program, Honolulu, Hawaii.
  • Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, Ohio.
  • Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
  • Department of Medicine, Oregon Health and Science University, Portland, Oregon.
  • Division of Cancer Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
  • Instituto de Pesquisas Rene Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brazil.
  • Department of Women and Children's Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, St. Thomas' Hospital, London, United Kingdom.
  • Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
  • Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
  • Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
  • Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston Massachusetts.
  • Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
  • Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Department of Obstetrics and Gynaecology, National Institute for Health Research, Cambridge Comprehensive Biomedical Research Center, University of Cambridge, Cambridge, United Kingdom.
  • Center for Trophoblast Research, Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.
  • Department of Obstetrics and Gynaecology, University of Cambridge, National Institute for Health Research Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom.
  • Institute of Cardiovascular Sciences, University College London, London, United Kingdom.
  • Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
  • Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.
  • MRC Unit for Lifelong Health and Ageing at University College London, London, United Kingdom.
  • Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas.
Abstract

The Consortium of Metabolomics Studies (COMETS) was established in 2014 to facilitate large-scale collaborative research on the human metabolome and its relationship with disease etiology, diagnosis, and prognosis. COMETS comprises 47 cohorts from Asia, Europe, North America, and South America that together include more than 136,000 participants with blood metabolomics data on samples collected from 1985 to 2017. Metabolomics data were provided by 17 different platforms, with the most frequently used labs being Metabolon, Inc. (14 cohorts), the Broad Institute (15 cohorts), and Nightingale Health (11 cohorts). Participants have been followed for a median of 23 years for health outcomes including death, cancer, cardiovascular disease, diabetes, and others; many of the studies are ongoing. Available exposure-related data include common clinical measurements and behavioral factors, as well as genome-wide genotype data. Two feasibility studies were conducted to evaluate the comparability of metabolomics platforms used by COMETS cohorts. The first study showed that the overlap between any 2 different laboratories ranged from 6 to 121 metabolites at 5 leading laboratories. The second study showed that the median Spearman correlation comparing 111 overlapping metabolites captured by Metabolon and the Broad Institute was 0.79 (interquartile range, 0.56-0.89).

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