Literature DB >> 31155658

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

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

Mesh:

Substances:

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


  110 in total

Review 1.  A Guide for a Cardiovascular Genomics Biorepository: the CATHGEN Experience.

Authors:  William E Kraus; Christopher B Granger; Michael H Sketch; Mark P Donahue; Geoffrey S Ginsburg; Elizabeth R Hauser; Carol Haynes; L Kristin Newby; Melissa Hurdle; Z Elaine Dowdy; Svati H Shah
Journal:  J Cardiovasc Transl Res       Date:  2015-08-14       Impact factor: 4.132

2.  Objectively measured physical activity and plasma metabolomics in the Shanghai Physical Activity Study.

Authors:  Qian Xiao; Steven C Moore; Sarah K Keadle; Yong-Bing Xiang; Wei Zheng; Tricia M Peters; Michael F Leitzmann; Bu-Tian Ji; Joshua N Sampson; Xiao-Ou Shu; Charles E Matthews
Journal:  Int J Epidemiol       Date:  2016-04-12       Impact factor: 7.196

3.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

4.  Coffee consumption and prostate cancer risk and progression in the Health Professionals Follow-up Study.

Authors:  Kathryn M Wilson; Julie L Kasperzyk; Jennifer R Rider; Stacey Kenfield; Rob M van Dam; Meir J Stampfer; Edward Giovannucci; Lorelei A Mucci
Journal:  J Natl Cancer Inst       Date:  2011-05-17       Impact factor: 13.506

5.  Utility of the National Death Index for ascertainment of mortality among cancer prevention study II participants.

Authors:  E E Calle; D D Terrell
Journal:  Am J Epidemiol       Date:  1993-01-15       Impact factor: 4.897

6.  Cohort Profile: Estonian Biobank of the Estonian Genome Center, University of Tartu.

Authors:  Liis Leitsalu; Toomas Haller; Tõnu Esko; Mari-Liis Tammesoo; Helene Alavere; Harold Snieder; Markus Perola; Pauline C Ng; Reedik Mägi; Lili Milani; Krista Fischer; Andres Metspalu
Journal:  Int J Epidemiol       Date:  2014-02-11       Impact factor: 7.196

7.  An investigation of coronary heart disease in families. The Framingham offspring study.

Authors:  W B Kannel; M Feinleib; P M McNamara; R J Garrison; W P Castelli
Journal:  Am J Epidemiol       Date:  1979-09       Impact factor: 4.897

8.  Characterizing Blood Metabolomics Profiles Associated with Self-Reported Food Intakes in Female Twins.

Authors:  Tess Pallister; Amy Jennings; Robert P Mohney; Darioush Yarand; Massimo Mangino; Aedin Cassidy; Alexander MacGregor; Tim D Spector; Cristina Menni
Journal:  PLoS One       Date:  2016-06-29       Impact factor: 3.240

9.  Meat consumption and mortality--results from the European Prospective Investigation into Cancer and Nutrition.

Authors:  Sabine Rohrmann; Kim Overvad; H Bas Bueno-de-Mesquita; Marianne U Jakobsen; Rikke Egeberg; Anne Tjønneland; Laura Nailler; Marie-Christine Boutron-Ruault; Françoise Clavel-Chapelon; Vittorio Krogh; Domenico Palli; Salvatore Panico; Rosario Tumino; Fulvio Ricceri; Manuela M Bergmann; Heiner Boeing; Kuanrong Li; Rudolf Kaaks; Kay-Tee Khaw; Nicholas J Wareham; Francesca L Crowe; Timothy J Key; Androniki Naska; Antonia Trichopoulou; Dimitirios Trichopoulos; Max Leenders; Petra H M Peeters; Dagrun Engeset; Christine L Parr; Guri Skeie; Paula Jakszyn; María-José Sánchez; José M Huerta; M Luisa Redondo; Aurelio Barricarte; Pilar Amiano; Isabel Drake; Emily Sonestedt; Göran Hallmans; Ingegerd Johansson; Veronika Fedirko; Isabelle Romieux; Pietro Ferrari; Teresa Norat; Anne C Vergnaud; Elio Riboli; Jakob Linseisen
Journal:  BMC Med       Date:  2013-03-07       Impact factor: 8.775

10.  PubChem 2019 update: improved access to chemical data.

Authors:  Sunghwan Kim; Jie Chen; Tiejun Cheng; Asta Gindulyte; Jia He; Siqian He; Qingliang Li; Benjamin A Shoemaker; Paul A Thiessen; Bo Yu; Leonid Zaslavsky; Jian Zhang; Evan E Bolton
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

View more
  27 in total

1.  The maternal serum metabolome by multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform and standardized data workflow for large-scale epidemiological studies.

Authors:  Meera Shanmuganathan; Zachary Kroezen; Biban Gill; Sandi Azab; Russell J de Souza; Koon K Teo; Stephanie Atkinson; Padmaja Subbarao; Dipika Desai; Sonia S Anand; Philip Britz-McKibbin
Journal:  Nat Protoc       Date:  2021-03-05       Impact factor: 13.491

Review 2.  Metabolomic Biomarkers of Healthy Dietary Patterns and Cardiovascular Outcomes.

Authors:  Hyunju Kim; Casey M Rebholz
Journal:  Curr Atheroscler Rep       Date:  2021-03-30       Impact factor: 5.113

Review 3.  Nutritional Metabolomics in Cancer Epidemiology: Current Trends, Challenges, and Future Directions.

Authors:  Emma E McGee; Rama Kiblawi; Mary C Playdon; A Heather Eliassen
Journal:  Curr Nutr Rep       Date:  2019-09

4.  Identification of 102 Correlations between Serum Metabolites and Habitual Diet in a Metabolomics Study of the Prostate, Lung, Colorectal, and Ovarian Cancer Trial.

Authors:  Kaitlyn M Mazzilli; Kathleen M McClain; Loren Lipworth; Mary C Playdon; Joshua N Sampson; Clary B Clish; Robert E Gerszten; Neal D Freedman; Steven C Moore
Journal:  J Nutr       Date:  2020-04-01       Impact factor: 4.798

5.  COMETS Analytics: An Online Tool for Analyzing and Meta-Analyzing Metabolomics Data in Large Research Consortia.

Authors:  Marinella Temprosa; Steven C Moore; Krista A Zanetti; Nathan Appel; David Ruggieri; Kaitlyn M Mazzilli; Kai-Ling Chen; Rachel S Kelly; Jessica A Lasky-Su; Erikka Loftfield; Kathleen McClain; Brian Park; Laura Trijsburg; Oana A Zeleznik; Ewy A Mathé
Journal:  Am J Epidemiol       Date:  2022-01-01       Impact factor: 4.897

Review 6.  Building infrastructure at the National Cancer Institute to support metabolomic analyses in epidemiological studies.

Authors:  Krista A Zanetti
Journal:  Metabolomics       Date:  2021-05-03       Impact factor: 4.290

7.  Associations of circulating choline and its related metabolites with cardiometabolic biomarkers: an international pooled analysis.

Authors:  Xiong-Fei Pan; Jae Jeong Yang; Xiao-Ou Shu; Steven C Moore; Nicholette D Palmer; Marta Guasch-Ferré; David M Herrington; Sei Harada; Heather Eliassen; Thomas J Wang; Robert E Gerszten; Demetrius Albanes; Ioanna Tzoulaki; Ibrahim Karaman; Paul Elliott; Huilian Zhu; Lynne E Wagenknecht; Wei Zheng; Hui Cai; Qiuyin Cai; Charles E Matthews; Cristina Menni; Katie A Meyer; Loren P Lipworth; Jennifer Ose; Myriam Fornage; Cornelia M Ulrich; Danxia Yu
Journal:  Am J Clin Nutr       Date:  2021-09-01       Impact factor: 8.472

8.  Comprehensive Metabolic Phenotyping Refines Cardiovascular Risk in Young Adults.

Authors:  Venkatesh L Murthy; Ravi V Shah; Jared P Reis; Alexander R Pico; Robert Kitchen; Joao A C Lima; Donald Lloyd-Jones; Norrina B Allen; Mercedes Carnethon; Gregory D Lewis; Matthew Nayor; Ramachandran S Vasan; Jane E Freedman; Clary B Clish
Journal:  Circulation       Date:  2020-10-19       Impact factor: 29.690

9.  Capillary Electrophoresis Mass Spectrometry-Based Metabolomics of Plasma Samples from Healthy Subjects in a Cross-Sectional Japanese Population Study.

Authors:  Hiroyuki Yamamoto; Makoto Suzuki; Rira Matsuta; Kazunori Sasaki; Moon-Il Kang; Kenjiro Kami; Yota Tatara; Ken Itoh; Shigeyuki Nakaji
Journal:  Metabolites       Date:  2021-05-13

10.  Plasma Metabolomic Signatures of Healthy Dietary Patterns in the Chronic Renal Insufficiency Cohort (CRIC) Study.

Authors:  Hyunju Kim; Cheryl Am Anderson; Emily A Hu; Zihe Zheng; Lawrence J Appel; Jiang He; Harold I Feldman; Amanda H Anderson; Ana C Ricardo; Zeenat Bhat; Tanika N Kelly; Jing Chen; Ramachandran S Vasan; Paul L Kimmel; Morgan E Grams; Josef Coresh; Clary B Clish; Eugene P Rhee; Casey M Rebholz
Journal:  J Nutr       Date:  2021-10-01       Impact factor: 4.687

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.