| Literature DB >> 31155658 |
Bing Yu1, Krista A Zanetti2, Marinella Temprosa3, Demetrius Albanes4, Nathan Appel5, Clara Barrios Barrera6, Yoav Ben-Shlomo7, Eric Boerwinkle1,8, Juan P Casas9, Clary Clish10, Caroline Dale9, Abbas Dehghan11, Andriy Derkach4, A Heather Eliassen12,13, Paul Elliott11,14,15, Eoin Fahy16, Christian Gieger17,18,19, Marc J Gunter20, Sei Harada21,22, Tamara Harris23, Deron R Herr24,25, David Herrington26, Joel N Hirschhorn10,27,28, Elise Hoover2, Ann W Hsing29, Mattias Johansson30, Rachel S Kelly31, Chin Meng Khoo32,33,34, Mika Kivimäki35, Bruce S Kristal36,37, Claudia Langenberg38, Jessica Lasky-Su39, Deborah A Lawlor7,40, Luca A Lotta38, Massimo Mangino41, Loïc Le Marchand42, Ewy Mathé43, Charles E Matthews4, Cristina Menni41, Lorelei A Mucci12,13, Rachel Murphy44, Matej Oresic45,46, Eric Orwoll47, Jennifer Ose48,49, Alexandre C Pereira50, Mary C Playdon4,48,51, Lucilla Poston52, Jackie Price53, Qibin Qi54, Kathryn Rexrode55,56, Adam Risch5, Joshua Sampson4, Wei Jie Seow57, Howard D Sesso13,55, Svati H Shah58,59,60, Xiao-Ou Shu61, Gordon C S Smith62, Ulla Sovio63, Victoria L Stevens64, Rachael Stolzenberg-Solomon4, Toru Takebayashi21,65, Therese Tillin66, Ruth Travis67, Ioanna Tzoulaki11, Cornelia M Ulrich48, Ramachandran S Vasan68,69,70,71, Mukesh Verma2, Ying Wang64, Nick J Wareham38, Andrew Wong72, Naji Younes3, Hua Zhao73, Wei Zheng61, Steven C Moore4.
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). Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2019.Entities:
Keywords: cancer; cohort; diabetes; genetics; heart disease; metabolomics; prospective
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Year: 2019 PMID: 31155658 PMCID: PMC6545286 DOI: 10.1093/aje/kwz028
Source DB: PubMed Journal: Am J Epidemiol ISSN: 0002-9262 Impact factor: 4.897