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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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Principais autores: Alan Kuang, M. Geoffrey Hayes, Marie-France Hivert, Raji Balasubramanian, William L. Lowe, Denise M. Scholtens
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-06-01
Serier:Metabolites
Fag:
fetal programming
variant-to-metabolite associations
Bayesian network modeling
serial mediation modeling
integrated multi-omics
Online adgang:https://www.mdpi.com/2218-1989/12/6/512
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