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

Autor(es):Mostrar menos -

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

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo de Revisão
• Fonte: METABOLITES; v. 9, n. 6 JUN 2019.
• Citações Web of Science: 3

Resumo

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)

• Processo FAPESP: 17/20593-7 - Da metabolômica ao tratamento: novas abordagens para o entendimento da insuficiência cardíaca
• Beneficiário: Alexandre da Costa Pereira
• Modalidade de apoio: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE