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A new statistical workflow (R-packages based) to investigate associations between one variable of interest and the metabolome

Ferrario, Paola G. ; Bub, Achim 1; Frommherz, Lara; Krüger, Ralf; Rist, Manuela J.; Watzl, Bernhard
1 Institut für Sport und Sportwissenschaft (IfSS), Karlsruher Institut für Technologie (KIT)

Abstract:

Introduction: In metabolomics, the investigation of associations between the metabolome and one trait of interest is a key
research question. However, statistical analyses of such associations are often challenging. Statistical tools enabling resilient
verification and clear presentation are therefore highly desired.

Objectives: Our aim is to provide a contribution for statistical analysis of metabolomics data, offering a widely applicable
open-source statistical workflow, which considers the intrinsic complexity of metabolomics data.

Methods: We combined selected R packages tailored for all properties of heterogeneous metabolomics datasets, where
metabolite parameters typically (i) are analyzed in different matrices, (ii) are measured on different analytical platforms
with different precision, (iii) are analyzed by targeted as well as non-targeted methods, (iv) are scaled variously, (v) reveal
heterogeneous variances, (vi) may be correlated, (vii) may have only few values or values below a detection limit, or (viii)
may be incomplete.

Results: The code is shared entirely and freely available. The workflow output is a table of metabolites associated with a
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Verlagsausgabe §
DOI: 10.5445/IR/1000172753
Veröffentlicht am 24.07.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 1573-3882, 1573-3890
KITopen-ID: 1000172753
Erschienen in Metabolomics
Verlag Springer
Band 20
Heft 1
Seiten Art.-Nr. : 2
Vorab online veröffentlicht am 30.11.2023
Schlagwörter Metabolomics; Statistical workflow; Association; Most likely transformation
Nachgewiesen in Web of Science
Dimensions
Scopus
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