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Quantitative methods for metabolomic analyses evaluated in the Children’s Health Exposure Analysis Resource (CHEAR)

Published on Sep 23, 2019in Journal of Exposure Science and Environmental Epidemiology3.02
· DOI :10.1038/s41370-019-0162-1
Matthew J. Mazzella12
Estimated H-index: 12
(ISMMS: Icahn School of Medicine at Mount Sinai),
Matthew J. Mazzella (ISMMS: Icahn School of Medicine at Mount Sinai)+ 8 AuthorsChris Gennings6
Estimated H-index: 6
(ISMMS: Icahn School of Medicine at Mount Sinai)
Abstract
With advances in technologies that facilitate metabolome-wide analyses, the incorporation of metabolomics in the pursuit of biomarkers of exposure and effect is rapidly evolving in population health studies. However, many analytic approaches are limited in their capacity to address high-dimensional metabolomics data within an epidemiologic framework, including the highly collinear nature of the metabolites and consideration of confounding variables. In this Children’s Health Exposure Analysis Resource (CHEAR) network study, we showcase various analytic approaches that are established as well as novel in the field of metabolomics, including univariate single metabolite models, least absolute shrinkage and selection operator (LASSO), random forest, weighted quantile sum (WQSRS) regression, exploratory factor analysis (EFA), and latent class analysis (LCA). Here, in a Bangladeshi birth cohort (n = 199), we illustrate research questions that can be addressed by each analytic method in the assessment of associations between cord blood metabolites (1H NMR measurements) and birth anthropometric measurements (birth weight and head circumference).
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References31
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#1Paul Curtin (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 3
#2Joshua J. Kellogg (UNCG: University of North Carolina at Greensboro)H-Index: 8
Last.Chris Gennings (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 6
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#1Fen Wu (NYU: New York University)H-Index: 17
#2Liang Chi (UNC: University of North Carolina at Chapel Hill)H-Index: 7
Last.Rabiul Hasan (U of C: University of Chicago)H-Index: 14
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#1Farzana Ferdous (University of Tsukuba)H-Index: 8
#2Enbo Ma (University of Tsukuba)H-Index: 2
Last.Yukiko Wagatsuma (University of Tsukuba)H-Index: 19
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#1Peter M. Visscher (UQ: University of Queensland)H-Index: 100
#2Naomi R. Wray (UQ: University of Queensland)H-Index: 72
Last.Jian Yang (UQ: University of Queensland)H-Index: 81
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#1Jessica E. Laine (UNC: University of North Carolina at Chapel Hill)H-Index: 6
#2Kathryn A. Bailey (UNC: University of North Carolina at Chapel Hill)H-Index: 10
Last.Wimal Pathmasiri (RTI International)H-Index: 6
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