Simulating metabolic pathways to enhance interpretations of metabolome genome-wide association studies

Simulating metabolic pathways to enhance interpretations of metabolome genome-wide association studies

Abstract Advancements in large-scale analysis of metabolites in human peripheral blood samples revealed the links between metabolite concentrations and genetic variations. This field is known as metabolome-genome-wide association study (MGWAS). Although MGWAS is a powerful tool, it has some limitati...

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Bibliographic Details
Main Authors: Shun Kodate, Mitsuharu Sato, Eiji Hishinuma, Kaname Kojima, Ikuko N. Motoike, ToMMo Study Group, Seizo Koshiba, Masayuki Yamamoto, Kazunori D. Yamada, Kengo Kinoshita
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
GWAS
Metabolomics
Biological simulation
Online Access:https://doi.org/10.1038/s41598-025-01634-7
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https://doi.org/10.1038/s41598-025-01634-7

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