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The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies
Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center, Houston TX, United States.
Örebro University, School of Medical Sciences. Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.ORCID iD: 0000-0002-2856-9165
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville MD, United States.
Number of Authors: 742019 (English)In: American Journal of Epidemiology, ISSN 0002-9262, E-ISSN 1476-6256, Vol. 188, no 6, p. 991-1012Article in journal (Refereed) Published
Abstract [en]

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).

Place, publisher, year, edition, pages
Oxford University Press, 2019. Vol. 188, no 6, p. 991-1012
Keywords [en]
cancer, cohort, diabetes, genetics, heart disease, metabolomics, prospective
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:oru:diva-75235DOI: 10.1093/aje/kwz028ISI: 000473760200003PubMedID: 31155658Scopus ID: 2-s2.0-85066237094OAI: oai:DiVA.org:oru-75235DiVA, id: diva2:1339050
Note

Funding Agencies:

Roche Diagnostics  

Medtronic 

Available from: 2019-07-25 Created: 2019-07-25 Last updated: 2025-02-20Bibliographically approved

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Oresic, Matej

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