Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networks
Web of Science
AuthorFearnley, LG; Inouye, M
Source TitleInternational Journal of Epidemiology
PublisherOXFORD UNIV PRESS
Medical Biology (W.E.H.I.)
Document TypeJournal Article
CitationsFearnley, L. G. & Inouye, M. (2016). Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networks. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 45 (5), pp.1319-1328. https://doi.org/10.1093/ije/dyw046.
Access StatusOpen Access
Metabolomics is becoming feasible for population-scale studies of human disease. In this review, we survey epidemiological studies that leverage metabolomics and multi-omics to gain insight into disease mechanisms. We outline key practical, technological and analytical limitations while also highlighting recent successes in integrating these data. The use of multi-omics to infer reaction rates is discussed as a potential future direction for metabolomics research, as a means of identifying biomarkers as well as inferring causality. Furthermore, we highlight established analysis approaches as well as simulation-based methods currently used in single- and multi-cell levels in systems biology.
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