ArticleNutrients2024
Vitamin D and Gestational Diabetes Mellitus in the IEU OpenGWAS Project: A Two-Sample Bidirectional Mendelian Randomization Study.
Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Absence of causal association between CD40-CD40L signaling and cervical cancer risk: A Mendelian randomization study.Medicine · 2026Article
- Gene Expression-Based Colorectal Cancer Prediction Using Machine Learning and SHAP Analysis.Genes · 2026Article
- Effect of vitamin D supplementation on glycemic control, insulin sensitivity, and pregnancy outcomes in gestational diabetes patients undergoing dietary therapy.Journal of health, population, and nutrition · 2025Article
- The relationship between number of pregnancies and serum 25-hydroxyvitamin D levels in women with a prior pregnancy: a cross - sectional analysis, machine learning - based prediction model, and SHAP - assisted feature importance evaluation.Frontiers in endocrinology · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
backgroundGestational diabetes mellitus (GDM) is one of the most prevalent pregnancy problems, and there is still debate over the relationship between vitamin D and GDM.
objectivesOur objective is to investigate the correlation between vitamin D and GDM by employing Mendelian randomization (MR) with summary data obtained from genome-wide association studies (GWAS).
methodsData on exposures and outcomes, namely vitamin D, vitamin D insufficiency, and GDM, were acquired from the IEU OpenGWAS Project. Bidirectional MR analysis was performed utilizing the inverse variance weighted (IVW) method as the principal analytical approach. The complementary approaches employed in this study encompassed weighted median, simple mode, weighted mode, and MR-Egger regression. A series of sensitivity analysis were conducted in order to assess the reliability of the obtained results.
resultsThe data were acquired from the IEU OpenGWAS Project. Following the application of the three assumptions of MR, 13 single nucleotide polymorphisms (SNPs) were included in the MR analysis for vitamin D levels and vitamin D deficiency on GDM, and 10 and 26 SNPs were included for GDM on vitamin D levels and deficiency, respectively. The findings from the IVW analysis revealed a significant positive correlation between vitamin D levels and GDM (OR = 1.057, 95% CI: 1.011-1.104,
conclusionsThere exists a causal association between vitamin D and GDM, whereby vitamin D levels serve as a risk factor for GDM.
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