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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective

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Chu, Su H. [1, 2] ; Huang, Mengna [1, 2] ; Kelly, Rachel S. [1, 2] ; Benedetti, Elisa [3] ; Siddiqui, Jalal K. [4] ; Zeleznik, Oana A. [1, 2] ; Pereira, Alexandre [5] ; Herrington, David [6] ; Wheelock, Craig E. [7] ; Krumsiek, Jan [3] ; McGeachie, Michael [1, 2] ; Moore, Steven C. [8] ; Kraft, Peter [9] ; Mathe, Ewy [4] ; Lasky-Su, Jessica [1, 2] ; Work, Consortium Metab Studies Stat
Total Authors: 16
[1] Harvard Med Sch, Boston, MA 02115 - USA
[2] Brigham & Womens Hosp, Channing Div Network Med, Boston, MA 02115 - USA
[3] Weill Cornell Med, Inst Computat Biomed, Dept Physiol & Biophys, Englander Inst Precis Med, New York, NY 10021 - USA
[4] Ohio State Univ, Coll Med, Dept Biomed Informat, Columbus, OH 43210 - USA
[5] Univ Sao Paulo, Dept Genet & Mol Med, Med Sch, BR-01246903 Sao Paulo - Brazil
[6] Wake Forest Sch Med, Dept Internal Med, Winston Salem, NC 27101 - USA
[7] Karolinska Inst, Dept Med Biochem & Biophys, Div Physiol Chem 2, S-17177 Stockholm - Sweden
[8] NCI, Div Canc Epidemiol & Genet, Rockville, MD 20850 - USA
[9] Harvard Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 - USA
Total Affiliations: 9
Document type: Review article
Source: METABOLITES; v. 9, n. 6 JUN 2019.
Web of Science Citations: 3

It is not controversial that study design considerations and challenges must be addressed when investigating the linkage between single omic measurements and human phenotypes. It follows that such considerations are just as critical, if not more so, in the context of multi-omic studies. In this review, we discuss (1) epidemiologic principles of study design, including selection of biospecimen source(s) and the implications of the timing of sample collection, in the context of a multi-omic investigation, and (2) the strengths and limitations of various techniques of data integration across multi-omic data types that may arise in population-based studies utilizing metabolomic data. (AU)

FAPESP's process: 17/20593-7 - From metabolomics to treatment: novel approaches to understand heart failure
Grantee:Alexandre da Costa Pereira
Support type: Research Grants - Research Partnership for Technological Innovation - PITE