Title | Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Chu SH, Huang M, Kelly RS, Benedetti E, Siddiqui JK, Zeleznik OA, Pereira A, Herrington D, Wheelock CE, Krumsiek J, McGeachie M, Moore SC, Kraft P, Mathé E, Lasky-Su J |
Corporate Authors | Consortium of Metabolomics Studies Statistics Working Group |
Journal | Metabolites |
Volume | 9 |
Issue | 6 |
Date Published | 2019 Jun 18 |
ISSN | 2218-1989 |
Abstract | 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. |
DOI | 10.3390/metabo9060117 |
Alternate Journal | Metabolites |
PubMed ID | 31216675 |
PubMed Central ID | PMC6630728 |
Grant List | R01 HL141826 / HL / NHLBI NIH HHS / United States U01 HG008685-01 / HG / NHGRI NIH HHS / United States R01AR049880 / AR / NIAMS NIH HHS / United States R01HL123915 / HL / NHLBI NIH HHS / United States R01 HL111362 / HL / NHLBI NIH HHS / United States R01HL133932 / HL / NHLBI NIH HHS / United States R01HL141826 / HL / NHLBI NIH HHS / United States K01HL146980 / HL / NHLBI NIH HHS / United States R01 HL123915 / HL / NHLBI NIH HHS / United States R01 HL133932 / HL / NHLBI NIH HHS / United States R01 HL139634 / HL / NHLBI NIH HHS / United States P01 HL132825 / HL / NHLBI NIH HHS / United States K01 HL146980 / HL / NHLBI NIH HHS / United States |