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. 2019 Jun 1;188(6):991-1012.
doi: 10.1093/aje/kwz028.

The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies

Bing Yu  1 Krista A Zanetti  2 Marinella Temprosa  3 Demetrius Albanes  4 Nathan Appel  5 Clara Barrios Barrera  6 Yoav Ben-Shlomo  7 Eric Boerwinkle  1   8 Juan P Casas  9 Clary Clish  10 Caroline Dale  9 Abbas Dehghan  11 Andriy Derkach  4 A Heather Eliassen  12   13 Paul Elliott  11   14   15 Eoin Fahy  16 Christian Gieger  17   18   19 Marc J Gunter  20 Sei Harada  21   22 Tamara Harris  23 Deron R Herr  24   25 David Herrington  26 Joel N Hirschhorn  10   27   28 Elise Hoover  2 Ann W Hsing  29 Mattias Johansson  30 Rachel S Kelly  31 Chin Meng Khoo  32   33   34 Mika Kivimäki  35 Bruce S Kristal  36   37 Claudia Langenberg  38 Jessica Lasky-Su  39 Deborah A Lawlor  7   40 Luca A Lotta  38 Massimo Mangino  41 Loïc Le Marchand  42 Ewy Mathé  43 Charles E Matthews  4 Cristina Menni  41 Lorelei A Mucci  12   13 Rachel Murphy  44 Matej Oresic  45   46 Eric Orwoll  47 Jennifer Ose  48   49 Alexandre C Pereira  50 Mary C Playdon  4   48   51 Lucilla Poston  52 Jackie Price  53 Qibin Qi  54 Kathryn Rexrode  55   56 Adam Risch  5 Joshua Sampson  4 Wei Jie Seow  57 Howard D Sesso  13   55 Svati H Shah  58   59   60 Xiao-Ou Shu  61 Gordon C S Smith  62 Ulla Sovio  63 Victoria L Stevens  64 Rachael Stolzenberg-Solomon  4 Toru Takebayashi  21   65 Therese Tillin  66 Ruth Travis  67 Ioanna Tzoulaki  11 Cornelia M Ulrich  48 Ramachandran S Vasan  68   69   70   71 Mukesh Verma  2 Ying Wang  64 Nick J Wareham  38 Andrew Wong  72 Naji Younes  3 Hua Zhao  73 Wei Zheng  61 Steven C Moore  4
Affiliations

The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies

Bing Yu et al. Am J Epidemiol. .

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).

Trial registration: ClinicalTrials.gov NCT00920621.

Keywords: cancer; cohort; diabetes; genetics; heart disease; metabolomics; prospective.

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Figures

Figure 1.
Figure 1.
Geographical locations of studies participating in the Consortium of Metabolomics Studies, multiple countries, established in 2014 (abbreviations are defined in Table 1).
Figure 2.
Figure 2.
Spearman correlations between metabolite values measured at the Broad Institute and Metabolon, Inc., for 111 overlapping metabolites, Consortium of Metabolomics Studies, multiple countries, established in 2014. Each bar represents the number of metabolites within the Spearman correlation interval denoted by the x-axis tick marks. The median correlation across the 111 metabolites was 0.79.

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