Network Approaches to Integrate Analyses of Genetics and Metabolomics Data with Applications to Fetal Programming Studies

Network Approaches to Integrate Analyses of Genetics and Metabolomics Data with Applications to Fetal Programming Studies

The integration of genetics and metabolomics data demands careful accounting of complex dependencies, particularly when modelling familial omics data, e.g., to study fetal programming of related maternal–offspring phenotypes. Efforts to identify genetically determined metabotypes using classic genom...

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Bibliographic Details
Main Authors: Alan Kuang, M. Geoffrey Hayes, Marie-France Hivert, Raji Balasubramanian, William L. Lowe, Denise M. Scholtens
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Metabolites
Subjects:
fetal programming
variant-to-metabolite associations
Bayesian network modeling
serial mediation modeling
integrated multi-omics
Online Access:https://www.mdpi.com/2218-1989/12/6/512

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