0668 Sleep Apnea and Risk of Gestational Diabetes and Preeclampsia: A Mendelian Randomization Study
Year: 2025
Type: conference-abstract
Abstract: Introduction Sleep apnea has been associated with increased risks of gestational diabetes and preeclampsia. However, it remains unclear whether these associations are causal or influenced by confounding factors. To address this uncertainty, we employed Mendelian Randomization (MR), a robust method for inferring causal relationships using genetic data, to investigate the potential causal effects of sleep apnea on these adverse maternal outcomes. Methods We conducted a one-sample MR analysis to evaluate causality between sleep apnea and the risk of three particularly adverse maternal outcomes. Genome-wide association study (GWAS) summary data for sleep apnea were obtained from the FinnGen biobank (16,761 cases and 201,194 controls). We used MR-Egger, weighted median, inverse-variance weighted (IVW), and weighted mode methods, with IVW (multiplicative random effects) as the primary analysis. The Cochran’s Q statistic (IVW) and Rucker’s Q statistic (MR Egger) were used to detect the heterogeneity of our MR analysis. The horizontal pleiotropy was detected by MR Egger. The sensitivity was investigated by the leave-one-out analysis. To avoid the inflation of false-positive findings, we calculated the false-discovery rate (FDR) corrected p-values for the main analyses. Significance was determined as FDR-corrected p-values< 0.05, whereas p-values < 0.05 that did not meet the FDR-corrected threshold were regarded as suggestive evidence of an association. All cited GWAS, epigenome-wide association studies and summary-level data had been approved by related relevant review boards. Results Sleep apnea was associated with an increased risk of gestational diabetes (OR=1.43, 95%CI=1.05-1.95, p=0.024, FDR corrected p-value=0.036) and preeclampsia/eclampsia (OR=1.48, 95%CI=1.08-2.05, p=0.016, FDR corrected p-value=0.036). Sleep apnea did not increase the increased risk of gestational hypertension (OR=1.37, 95%CI=0.991.90, p=0.061, FDR corrected p-value=0.061). No heterogeneity or horizontal pleiotropy was found among the tests. Leave-one-out analysis indicated that the causal estimates of sleep and psychiatric disorders were not driven by any single single-nucleotide polymorphisms (SNPs). Conclusion These results provide genetic evidence suggesting a causal relationship between sleep apnea and the increased risk of gestational diabetes and preeclampsia/eclampsia. Addressing sleep apnea before or during pregnancy could be a potential avenue for preventing these adverse maternal outcomes. Further studies are needed to confirm these findings and to explore underlying biological mechanisms. Support (if any)
Source: SLEEP
Authors: Pei Chen, Yueying Wang, Jinjin Yuan, Yang Pan, Xiao Sun, Ghada Abu Irsheed, Bingqian Zhu, Bilgay Balserak
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4410502639