Association between Maternal and Fetal Genetic Variants and Preeclampsia: Evidence from a Meta-Analysis.
Tung Nguyen-ThanhPhuong-Thao Nguyen-VuQuy-Anh Le-ThiThao-Nguyen Phan-ThiMinh Thi Thi HaPublished in: Current issues in molecular biology (2024)
The objective of this meta-analysis was to evaluate the association between maternal and fetal genetic variants and the risk of preeclampsia, a pregnancy-related condition that affects women. Despite the unclear role of these genetic factors in the development of preeclampsia, this analysis aimed to provide insights into the potential contributing factors. An electronic search of online databases was conducted to identify relevant studies. Stata SE software was used for the meta-analysis. A random-effects model was used to establish the association between the genetic variants and preeclampsia risk. Egger's test was utilized to evaluate publication bias. Ten observational studies were selected from databases that met the inclusion criteria and included seven genes and twenty polymorphisms to analyze preeclampsia susceptibility influenced by the genetic background of both the mother and fetus. Our meta-analysis revealed that both the maternal and fetal polymorphisms, FLT1 rs4769613, were significantly associated with the risk of preeclampsia. However, the association between the maternal ACE rs4646994 polymorphism and preeclampsia risk was not statistically significant. Nevertheless, a significant association was observed between the fetal ACE rs4646994 polymorphism and preeclampsia in a dominant genetic model. In this study, the associations between maternal and fetal polymorphisms in ERAP2, VEGF, VDR, REN, and MMP were not statistically significant. According to the available evidence, maternal and fetal polymorphisms can impact the likelihood of developing preeclampsia. Additional research is required to fully understand the underlying mechanisms connecting maternal and fetal polymorphisms to preeclampsia, and to formulate recommendations for screening pregnant women based on these genetic variations.
Keyphrases
- pregnancy outcomes
- pregnant women
- early onset
- systematic review
- genome wide
- birth weight
- acute myeloid leukemia
- type diabetes
- metabolic syndrome
- meta analyses
- case control
- randomized controlled trial
- adipose tissue
- body mass index
- physical activity
- vascular endothelial growth factor
- clinical practice
- artificial intelligence