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

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 revi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:METABOLITES 2019-06, Vol.9 (6), p.117
Hauptverfasser: Chu, Su H, Huang, Mengna, Kelly, Rachel S, Benedetti, Elisa, Siddiqui, Jalal K, Zeleznik, Oana A, Pereira, Alexandre, Herrington, David, Wheelock, Craig E, Krumsiek, Jan, McGeachie, Michael, Moore, Steven C, Kraft, Peter, Mathé, Ewy, Lasky-Su, Jessica
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:2218-1989
2218-1989
DOI:10.3390/metabo9060117