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Article

Disentangling the consequences of type 2 diabetes on targeted metabolite profiles using causal inference and interaction QTL analyses.

PLoS genetics - 1 Dec 2024

Bocher Ozvan, Singh Archit, Huang Yue, Võsa Urmo, Reimann Ene, Arruda Ana, Barysenska Andrei, Kolde Anastassia, Rayner Nigel W, Esko Tõnu, Mägi Reedik, Zeggini Eleftheria

Abstract excerpt

Circulating metabolite levels have been associated with type 2 diabetes (T2D), but the extent to which T2D affects metabolite levels and their genetic regulation remains to be elucidated. In this study, we investigate the interplay between genetics, metabolomics, and T2D risk in the UK Biobank dataset using the Nightingale panel composed of 249 metabolites, 92% of which correspond to lipids (HDL, IDL, LDL, VLDL)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39625957
DOI: 10.1371/journal.pgen.1011346
PMCID: PMC11642953

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