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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Detalhes bibliográficos

Principais autores:	Alan Kuang, M. Geoffrey Hayes, Marie-France Hivert, Raji Balasubramanian, William L. Lowe, Denise M. Scholtens
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-06-01
coleção:	Metabolites
Assuntos:	fetal programming variant-to-metabolite associations Bayesian network modeling serial mediation modeling integrated multi-omics
Acesso em linha:	https://www.mdpi.com/2218-1989/12/6/512
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