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@article{Yu:2019:aje/kwz028,
author = {Yu, B and Zanetti, KA and Temprosa, M and Albanes, D and Appel, N and Barrera, CB and Ben-Shlomo, Y and Boerwinkle, E and Casas, JP and Clish, C and Dale, C and Dehghan, A and Derkach, A and Eliassen, AH and Elliott, P and Fahy, E and Gieger, C and Gunter, MJ and Harada, S and Harris, T and Herr, DR and Herrington, D and Hirschhorn, JN and Hoover, E and Hsing, AW and Johansson, M and Kelly, RS and Khoo, CM and Kivimäki, M and Kristal, BS and Langenberg, C and Lasky-Su, J and Lawlor, DA and Lotta, LA and Mangino, M and Le, Marchand L and Mathé, E and Matthews, CE and Menni, C and Mucci, LA and Murphy, R and Oresic, M and Orwoll, E and Ose, J and Pereira, AC and Playdon, MC and Poston, L and Price, J and Qi, Q and Rexrode, K and Risch, A and Sampson, J and Seow, WJ and Sesso, HD and Shah, SH and Shu, X-O and Smith, GCS and Sovio, U and Stevens, VL and Stolzenberg-Solomon, R and Takebayashi, T and Tillin, T and Travis, R and Tzoulaki, I and Ulrich, CM and Vasan, RS and Verma, M and Wang, },
doi = {aje/kwz028},
journal = {American Journal of Epidemiology},
pages = {991--1012},
title = {The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies},
url = {http://dx.doi.org/10.1093/aje/kwz028},
volume = {188},
year = {2019}
}

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TY  - JOUR
AB  - 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).
AU  - Yu,B
AU  - Zanetti,KA
AU  - Temprosa,M
AU  - Albanes,D
AU  - Appel,N
AU  - Barrera,CB
AU  - Ben-Shlomo,Y
AU  - Boerwinkle,E
AU  - Casas,JP
AU  - Clish,C
AU  - Dale,C
AU  - Dehghan,A
AU  - Derkach,A
AU  - Eliassen,AH
AU  - Elliott,P
AU  - Fahy,E
AU  - Gieger,C
AU  - Gunter,MJ
AU  - Harada,S
AU  - Harris,T
AU  - Herr,DR
AU  - Herrington,D
AU  - Hirschhorn,JN
AU  - Hoover,E
AU  - Hsing,AW
AU  - Johansson,M
AU  - Kelly,RS
AU  - Khoo,CM
AU  - Kivimäki,M
AU  - Kristal,BS
AU  - Langenberg,C
AU  - Lasky-Su,J
AU  - Lawlor,DA
AU  - Lotta,LA
AU  - Mangino,M
AU  - Le,Marchand L
AU  - Mathé,E
AU  - Matthews,CE
AU  - Menni,C
AU  - Mucci,LA
AU  - Murphy,R
AU  - Oresic,M
AU  - Orwoll,E
AU  - Ose,J
AU  - Pereira,AC
AU  - Playdon,MC
AU  - Poston,L
AU  - Price,J
AU  - Qi,Q
AU  - Rexrode,K
AU  - Risch,A
AU  - Sampson,J
AU  - Seow,WJ
AU  - Sesso,HD
AU  - Shah,SH
AU  - Shu,X-O
AU  - Smith,GCS
AU  - Sovio,U
AU  - Stevens,VL
AU  - Stolzenberg-Solomon,R
AU  - Takebayashi,T
AU  - Tillin,T
AU  - Travis,R
AU  - Tzoulaki,I
AU  - Ulrich,CM
AU  - Vasan,RS
AU  - Verma,M
AU  - Wang,Y
AU  - Wareham,NJ
AU  - Wong,A
AU  - Younes,N
AU  - Zhao,H
AU  - Zheng,W
AU  - Moore,SC
DO  - aje/kwz028
EP  - 1012
PY  - 2019///
SN  - 1476-6256
SP  - 991
TI  - The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies
T2  - American Journal of Epidemiology
UR  - http://dx.doi.org/10.1093/aje/kwz028
UR  - http://hdl.handle.net/10044/1/69317
VL  - 188
ER  -

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