ArticleInternational journal of women's health2025
Causal Relationship Between Type 2 Diabetes Mellitus and Preeclampsia: A Bidirectional Two-Sample Mendelian Randomized Study.
Article in International journal of women's health, 2025. 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
Background: Observational epidemiologic investigations into the link between diabetes mellitus and preeclampsia (PE) have been conducted, but genetic evidence is still lacking. We utilized a two-sample Mendelian randomization (MR) analysis to shed light on the potential influence of type 2 diabetes mellitus (T2DM) on PE at the genetic prediction level. Methods: We carried out a two-sample bidirectional MR analysis, utilizing genetic variants associated with T2DM (N=461,920) and PE (N=219,817) from the largest available genome-wide association studies. Using inverse variance weighting (IVW) and five validated approaches-MR-Egger, MR-RAPS, ConMix, weighted median, and weighted mode-we derived a potential causal association between T2DM and PE. The relationship between PE and T2DM was explored using reverse MR analysis. Results: The two-sample MR analysis indicated a causal link between T2DM and PE, with an odds ratio of 1.10 (95% CI, 1.02-1.18; P=0.01). The weighted mode method yielded an odds ratio of 1.22 (95% CI, 1.06-1.40; P=0.019), and the weighted median method produced an odds ratio of 1.19 (95% CI, 1.04-1.36; P=0.022). However, no significant association was detected in the MR-Egger analysis. Heterogeneity was noted in the analysis of T2DM and PE, but no significant horizontal pleiotropy was observed. The results of the reverse MR analysis indicated no significant causal association between PE and T2DM. Conclusion: For the first time, MR analysis showed a positive causal link from T2DM to PE, but not vice versa. The limited number of SNPs in reverse analysis may affect reliability. Future studies should use more instrumental variables to strengthen findings. Further experiments are also needed to explore underlying mechanisms.
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