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  • Playdon, Mary C.Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, USA; Division of Cancer Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, USA (author)

Metabolomics Analytics Workflow for Epidemiological Research : Perspectives from the Consortium of Metabolomics Studies (COMETS)

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • 2019-07-17
  • MDPI,2019
  • printrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:oru-75584
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-75584URI
  • https://doi.org/10.3390/metabo9070145DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Funding Agencies:National Cancer Institute  5R00CA218694-03  R00CA207736  P01CA087969  R01CA050385 Huntsman Cancer Institute Cancer Center Support Grant  P30CA040214 Wereld Kanker Onderzoek Fonds (WKOF) as part of the World Cancer Research Fund International grant programme  2016/1620 NIDDK  K01-DK110267 
  • The application of metabolomics technology to epidemiological studies is emerging as a new approach to elucidate disease etiology and for biomarker discovery. However, analysis of metabolomics data is complex and there is an urgent need for the standardization of analysis workflow and reporting of study findings. To inform the development of such guidelines, we conducted a survey of 47 cohort representatives from the Consortium of Metabolomics Studies (COMETS) to gain insights into the current strategies and procedures used for analyzing metabolomics data in epidemiological studies worldwide. The results indicated a variety of applied analytical strategies, from biospecimen and data pre-processing and quality control to statistical analysis and reporting of study findings. These strategies included methods commonly used within the metabolomics community and applied in epidemiological research, as well as novel approaches to pre-processing pipelines and data analysis. To help with these discrepancies, we propose use of open-source initiatives such as the online web-based tool COMETS Analytics, which includes helpful tools to guide analytical workflow and the standardized reporting of findings from metabolomics analyses within epidemiological studies. Ultimately, this will improve the quality of statistical analyses, research findings, and study reproducibility.

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  • Joshi, Amit D.Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, MA, USA (author)
  • Tabung, Fred K.Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, OH, USA; The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA; Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH, USA (author)
  • Cheng, SusanSmidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA (author)
  • Henglin, MirCardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA (author)
  • Kim, AndyCardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA (author)
  • Lin, TengdaDivision of Cancer Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, UT, USA (author)
  • van Roekel, Eline H.Department of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, MD Maastricht, The Netherlands (author)
  • Huang, JiaqiDivision of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA (author)
  • Krumsiek, JanInstitute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA (author)
  • Wang, YingBehavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA (author)
  • Mathé, EwyCollege of Medicine, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA (author)
  • Temprosa, MarinellaDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, DC, USA (author)
  • Moore, StevenDivision of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, National Cancer Institute, Rockville, MD, USA (author)
  • Chawes, BoCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark (author)
  • Eliassen, A HeatherChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (author)
  • Gsur, AndreaInstitute of Cancer Research, Department of Medicine, Medical University of Vienna, Vienna, Austria (author)
  • Gunter, Marc J.Section of Nutrition and Metabolism, International Agency for Research on Cancer, World Health Organization, Lyon, France (author)
  • Harada, SeiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan (author)
  • Langenberg, ClaudiaMRC Epidemiology Unit, Public Health, University of Cambridge, Cambridge, UK; The Francis Crick Institute, London, UK (author)
  • Oresic, Matej,1967-Örebro universitet,Institutionen för medicinska vetenskaper,Turku Centre for Biotechnology, University of Turku, Turku, Finland(Swepub:oru)moc (author)
  • Perng, WeiDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA; Life course epidemiology of adiposity and diabetes (LEAD) Center, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA (author)
  • Seow, Wei JieSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore (author)
  • Zeleznik, Oana A.Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (author)
  • Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, USA; Division of Cancer Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, USAClinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, MA, USA (creator_code:org_t)

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  • In:Metabolites: MDPI9:72218-19892218-1989

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