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

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Title: The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies
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
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, X-O
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
Item Type: Journal Article
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).
Issue Date: 19-Feb-2019
Date of Acceptance: 28-Jan-2019
URI: http://hdl.handle.net/10044/1/69317
DOI: https://dx.doi.org/10.1093/aje/kwz028
ISSN: 1476-6256
Publisher: Oxford University Press (OUP)
Journal / Book Title: American Journal of Epidemiology
Copyright Statement: This work is written by (a) US Government employee(s) and is in the public domain in the US. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2019.
Sponsor/Funder: Home Office
Imperial College Healthcare NHS Trust- BRC Funding
National Institute for Health Research
Medical Research Council (MRC)
Medical Research Council (MRC)
Medical Research Council (MRC)
UK DRI Ltd
Funder's Grant Number: PG0484
RDF03
RTJ6219303-1
MR/L01341X/1
MR/L01632X/1
MR/L01632X/1
4050641385
Keywords: Epidemiology
11 Medical and Health Sciences
01 Mathematical Sciences
Publication Status: Published online
Open Access location: https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwz028/5341178
Online Publication Date: 2019-02-19
Appears in Collections:Epidemiology, Public Health and Primary Care



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