Causal relationship between gestational diabetes and preeclampsia: A bidirectional mendelian randomization analysis

孟德尔随机化 妊娠期糖尿病 全基因组关联研究 子痫前期 医学 糖尿病 遗传关联 生物信息学 怀孕 内科学 遗传学 基因 内分泌学 生物 单核苷酸多态性 遗传变异 妊娠期 基因型
作者
Xiaofeng Yang,QimeiZhong,Meng-wei Huang,Li Li,Chunyan Tang,Shujuan Luo,Lan Wang,Hongbo Qi
出处
期刊:Diabetes Research and Clinical Practice [Elsevier]
卷期号:210: 111643-111643 被引量:1
标识
DOI:10.1016/j.diabres.2024.111643
摘要

Aims The study aimed to explore the potential causal link between gestational diabetes mellitus (GDM) and preeclampsia (PE) using a bidirectional mendelian randomization (MR) analysis. Materials We conducted a bidirectional MR analysis to investigate the causal relationship between GDM and PE. Data from public genome-wide association studies (GWAS) for GDM and PE were obtained from the FinnGen consortium. Various MR methods were employed, including inverse-variance weighted (IVW), MR-Egger, and sensitivity analyses. Additionally, a knowledge-based approach identified genes underlying this potential connection. Results The IVW method revealed a lack of significant association between GDM and PE (OR: 1.04, 95 % CI: 0.96–1.14; p = 0.275). Conversely, IVW analysis indicated a causal connection from PE to GDM (OR: 1.14, 95 % CI: 1.06–1.23; p < 0.001). Molecular pathway analysis identified 20 key genes, including ASAP2, central to the PE-GDM relationship. Tissue enrichment analysis showed pertinent gene expression in significant tissues. Moreover, lower ASAP2 expression was detected in PE patients' placentas. Conclusions Our bidirectional MR analysis offers evidence supporting a causal link between PE and GDM, elucidating their interconnected pathogenesis. Genetic and knowledge-based insights facilitate a deeper comprehension of these complex pregnancy complications.
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