ArticleInternational journal of women's health2026
Multi-Omics Mendelian Randomization and Colocalization Reveal Key Glycolipid Metabolism-Related Genes in Gestational Diabetes Mellitus.
Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: Gestational diabetes mellitus (GDM) poses significant health risks, yet the causal genetic and epigenetic mechanisms linking glycolipid metabolism dysregulation to GDM remain elusive. This study aimed to identify key causal genes and regulatory pathways by integrating multi-omics data with large-scale genetic association studies. Patients and Methods: We leveraged GDM genome-wide association study (GWAS) data from the FinnGen consortium (18,581 cases/263,483 controls) as the discovery dataset and the UK Biobank (193 cases/219,789 controls) for replication. These were integrated with blood-based quantitative trait loci (QTL) for DNA methylation (mQTL), gene expression (eQTL), and protein abundance (pQTL) of glycolipid metabolism-related genes. Findings were rigorously validated using colocalization analysis (PP.H4 > 0.5), cross-QTL mediation analysis, and tissue-specific eQTL data (adipose, liver, pancreas) from GTEx. Protein-protein interaction (PPI) networks and drug druggability analyses were conducted to assess translational potential. Results: The multi-omics SMR analysis identified 325 CpG sites, 58 gene expressions, and 6 protein abundances associated with GDM, which were refined by colocalization to 72 mQTLs, 6 eQTLs, and 3 pQTLs. Integrative analysis prioritized 6 core genes: Conclusion: This study identifies glycolipid metabolism genes, particularly
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