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

Bing Yu; Krista A. Zanetti; Marinella Temprosa; Demetrius Albanes; Nathan Appel; Clara Barrios Barrera; Yoav Ben-Shlomo; Eric Boerwinkle; Juan P. Casas; Clary Clish; Caroline Dale; Abbas Dehghan; Andriy Derkach; A. Heather Eliassen; Paul Elliott; Eoin Fahy; Christian Gieger; Marc J. Gunter; Sei Harada; Tamara Harris; Deron R. Herr; David Herrington; Joel N. Hirschhorn; Elise Hoover; Ann W. Hsing; Mattias Johansson; Rachel S. Kelly; Chin Meng Khoo; Mika Kivimäki; Bruce S. Kristal; Claudia Langenberg; Jessica Lasky-Su; Deborah A. Lawlor; Luca A. Lotta; Massimo Mangino; Loïc Le Marchand; Ewy Mathé; Charles E. Matthews; Cristina Menni; Lorelei A. Mucci; Rachel Murphy; Matej Oresic; Eric Orwoll; Jennifer Ose; Alexandre C. Pereira; Mary C. Playdon; Lucilla Poston; Jackie Price; Qibin Qi; Kathryn Rexrode; Adam Risch; Joshua Sampson; Wei Jie Seow; Howard D. Sesso; Svati H. Shah; Xiao Ou Shu; Gordon C.S. Smith; Ulla Sovio; Victoria L. Stevens; Rachael Stolzenberg-Solomon; Toru Takebayashi; Therese Tillin; Ruth Travis; Ioanna Tzoulaki; Cornelia M. Ulrich; Ramachandran S. Vasan; Mukesh Verma; Ying Wang; Nick J. Wareham; Andrew Wong; Naji Younes; Hua Zhao; Wei Zheng; Steven C. Moore

doi:10.1093/aje/kwz028

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

Bing Yu
, Krista A. Zanetti
, Marinella Temprosa
, Demetrius Albanes
, Nathan Appel
, Clara Barrios Barrera
, Yoav Ben-Shlomo
, Eric Boerwinkle
, Juan P. Casas
, Clary Clish
, Caroline Dale
, Abbas Dehghan
, Andriy Derkach
, A. Heather Eliassen
, Paul Elliott
, Eoin Fahy
, Christian Gieger
, Marc J. Gunter
, Sei Harada
, Tamara Harris

Deron R. Herr, David Herrington, Joel N. Hirschhorn, Elise Hoover, Ann W. Hsing, Mattias Johansson, Rachel S. Kelly, Chin Meng Khoo, Mika Kivimäki, Bruce S. Kristal, Claudia Langenberg, Jessica Lasky-Su, Deborah A. Lawlor, Luca A. Lotta, Massimo Mangino, Loïc Le Marchand, Ewy Mathé, Charles E. Matthews, Cristina Menni, Lorelei A. Mucci, Rachel Murphy, Matej Oresic, Eric Orwoll, Jennifer Ose, Alexandre C. Pereira, Mary C. Playdon, Lucilla Poston, Jackie Price, Qibin Qi, Kathryn Rexrode, Adam Risch, Joshua Sampson, Wei Jie Seow, Howard D. Sesso, Svati H. Shah, Xiao Ou Shu, Gordon C.S. Smith, Ulla Sovio, Victoria L. Stevens, Rachael Stolzenberg-Solomon, Toru Takebayashi, Therese Tillin, Ruth Travis, Ioanna Tzoulaki, Cornelia M. Ulrich, Ramachandran S. Vasan, Mukesh Verma, Ying Wang, Nick J. Wareham, Andrew Wong, Naji Younes, Hua Zhao, Wei Zheng, Steven C. Moore

University of Texas School of Public Health
National Cancer Institute, NIH
George Washington University
Information Management Services Inc.
Servicio de Medicina Interna y Enfermedades Infecciosas, Hospital del Mar-IMIM and RETICEF
University of Bristol
Baylor College of Medicine
UCL University College London
Broad Institute of MIT and Harvard
PHE Public Health England
Brigham and Women's Hospital
Harvard T.H. Chan School of Public Health
Imperial College London
University of California at San Diego
Helmholtz Zentrum München GmbH
German Center for Diabetes Research
International Agency for Research on Cancer
Keio University
Laboratory of Epidemiology and Population Science Laboratory
Yong Loo Lin School of Medicine
San Diego State University
Wake Forest University
Boston Children's Hospital
Harvard Medical School
Stanford University School of Medicine
National University Health System
University of Cambridge
University of Hawaii at Manoa
Ohio State University
King's College London
Vancouver General Hospital, The Prostate Centre, University of British Columbia, Faculty of Medicine
Åbo Akademi University
Örebro University
Oregon Health & Science University
University of Utah
Fundação Oswaldo Cruz
Department of Women and Children's Health
Medical Schoo
Yeshiva University
Saw Swee Hock School of Public Health
Department of Ophthalmology, National University of Singapore and National University Health System, Singapore 119228, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117597, Singapore; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 168751, Singapore; Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore 169857, Singapore.
Vanderbilt University School of Medicine
Cambridge University Hospitals NHS Foundation Trust
American Cancer Society
University of Oxford
Boston University School of Medicine
Boston University
Blood Institute's Framingham Heart Study
University of Texas M. D. Anderson Cancer Center

Research output: Contribution to journal › Article › peer-review

92 Citations (Scopus)

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).

Original language	English
Pages (from-to)	991-1012
Number of pages	22
Journal	American Journal of Epidemiology
Volume	188
Issue number	6
DOIs	https://doi.org/10.1093/aje/kwz028
Publication status	Published - 1 Jun 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

cancer
cohort
diabetes
genetics
heart disease
metabolomics
prospective

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10.1093/aje/kwz028

Cite this

Yu, B., Zanetti, K. A., Temprosa, M., Albanes, D., Appel, N., Barrera, C. B., Ben-Shlomo, Y., Boerwinkle, E., Casas, J. P., Clish, C., Dale, C., Dehghan, A., Derkach, A., Eliassen, A. H., Elliott, P., Fahy, E., Gieger, C., Gunter, M. J., Harada, S., ... Moore, S. C. (2019). The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies. American Journal of Epidemiology, 188(6), 991-1012. https://doi.org/10.1093/aje/kwz028

@article{8b972ba36e4e43f88e98daaa90275877,

title = "The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies",

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).",

keywords = "cancer, cohort, diabetes, genetics, heart disease, metabolomics, prospective",

author = "Bing Yu and Zanetti, \{Krista A.\} and Marinella Temprosa and Demetrius Albanes and Nathan Appel and Barrera, \{Clara Barrios\} and Yoav Ben-Shlomo and Eric Boerwinkle and Casas, \{Juan P.\} and Clary Clish and Caroline Dale and Abbas Dehghan and Andriy Derkach and Eliassen, \{A. Heather\} and Paul Elliott and Eoin Fahy and Christian Gieger and Gunter, \{Marc J.\} and Sei Harada and Tamara Harris and Herr, \{Deron R.\} and David Herrington and Hirschhorn, \{Joel N.\} and Elise Hoover and Hsing, \{Ann W.\} and Mattias Johansson and Kelly, \{Rachel S.\} and Khoo, \{Chin Meng\} and Mika Kivim{\"a}ki and Kristal, \{Bruce S.\} and Claudia Langenberg and Jessica Lasky-Su and Lawlor, \{Deborah A.\} and Lotta, \{Luca A.\} and Massimo Mangino and \{Le Marchand\}, Lo{\"i}c and Ewy Math{\'e} and Matthews, \{Charles E.\} and Cristina Menni and Mucci, \{Lorelei A.\} and Rachel Murphy and Matej Oresic and Eric Orwoll and Jennifer Ose and Pereira, \{Alexandre C.\} and Playdon, \{Mary C.\} and Lucilla Poston and Jackie Price and Qibin Qi and Kathryn Rexrode and Adam Risch and Joshua Sampson and Seow, \{Wei Jie\} and Sesso, \{Howard D.\} and Shah, \{Svati H.\} and Shu, \{Xiao Ou\} and Smith, \{Gordon C.S.\} and Ulla Sovio and Stevens, \{Victoria L.\} and Rachael Stolzenberg-Solomon and Toru Takebayashi and Therese Tillin and Ruth Travis and Ioanna Tzoulaki and Ulrich, \{Cornelia M.\} and Vasan, \{Ramachandran S.\} and Mukesh Verma and Ying Wang and Wareham, \{Nick J.\} and Andrew Wong and Naji Younes and Hua Zhao and Wei Zheng and Moore, \{Steven C.\}",

year = "2019",

month = jun,

day = "1",

doi = "10.1093/aje/kwz028",

language = "English",

volume = "188",

pages = "991--1012",

journal = "American Journal of Epidemiology",

issn = "0002-9262",

publisher = "Oxford University Press",

number = "6",

}

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, 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 2019, 'The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies', American Journal of Epidemiology, vol. 188, no. 6, pp. 991-1012. https://doi.org/10.1093/aje/kwz028

TY - JOUR

T1 - The Consortium of Metabolomics Studies (COMETS)

T2 - Metabolomics in 47 Prospective Cohort Studies

AU - Yu, Bing

AU - Zanetti, Krista A.

AU - Temprosa, Marinella

AU - Albanes, Demetrius

AU - Appel, Nathan

AU - Barrera, Clara Barrios

AU - Ben-Shlomo, Yoav

AU - Boerwinkle, Eric

AU - Casas, Juan P.

AU - Clish, Clary

AU - Dale, Caroline

AU - Dehghan, Abbas

AU - Derkach, Andriy

AU - Eliassen, A. Heather

AU - Elliott, Paul

AU - Fahy, Eoin

AU - Gieger, Christian

AU - Gunter, Marc J.

AU - Harada, Sei

AU - Harris, Tamara

AU - Herr, Deron R.

AU - Herrington, David

AU - Hirschhorn, Joel N.

AU - Hoover, Elise

AU - Hsing, Ann W.

AU - Johansson, Mattias

AU - Kelly, Rachel S.

AU - Khoo, Chin Meng

AU - Kivimäki, Mika

AU - Kristal, Bruce S.

AU - Langenberg, Claudia

AU - Lasky-Su, Jessica

AU - Lawlor, Deborah A.

AU - Lotta, Luca A.

AU - Mangino, Massimo

AU - Le Marchand, Loïc

AU - Mathé, Ewy

AU - Matthews, Charles E.

AU - Menni, Cristina

AU - Mucci, Lorelei A.

AU - Murphy, Rachel

AU - Oresic, Matej

AU - Orwoll, Eric

AU - Ose, Jennifer

AU - Pereira, Alexandre C.

AU - Playdon, Mary C.

AU - Poston, Lucilla

AU - Price, Jackie

AU - Qi, Qibin

AU - Rexrode, Kathryn

AU - Risch, Adam

AU - Sampson, Joshua

AU - Seow, Wei Jie

AU - Sesso, Howard D.

AU - Shah, Svati H.

AU - Shu, Xiao Ou

AU - Smith, Gordon C.S.

AU - Sovio, Ulla

AU - Stevens, Victoria L.

AU - Stolzenberg-Solomon, Rachael

AU - Takebayashi, Toru

AU - Tillin, Therese

AU - Travis, Ruth

AU - Tzoulaki, Ioanna

AU - Ulrich, Cornelia M.

AU - Vasan, Ramachandran S.

AU - Verma, Mukesh

AU - Wang, Ying

AU - Wareham, Nick J.

AU - Wong, Andrew

AU - Younes, Naji

AU - Zhao, Hua

AU - Zheng, Wei

AU - Moore, Steven C.

PY - 2019/6/1

Y1 - 2019/6/1

N2 - 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).

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).

KW - cancer

KW - cohort

KW - diabetes

KW - genetics

KW - heart disease

KW - metabolomics

KW - prospective

UR - https://www.scopus.com/pages/publications/85066237094

U2 - 10.1093/aje/kwz028

DO - 10.1093/aje/kwz028

M3 - Article

C2 - 31155658

AN - SCOPUS:85066237094

SN - 0002-9262

VL - 188

SP - 991

EP - 1012

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

IS - 6

ER -

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

Abstract

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Keywords

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