Association of BMAL1 and CLOCK Gene Polymorphisms with Preeclampsia Risk with Subtype Analysis
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Le résumé fourni par la source
Preeclampsia (PE), a major cause of maternal and perinatal morbidity, is a hypertensive pregnancy disorder with poorly defined pathogenesis. While dysregulation of core circadian genes including brain and muscle ARNT-like 1 (BMAL1; also termed ARNTL) and circadian locomotor output cycles kaput (CLOCK) has been implicated in PE, the contribution of their genetic polymorphisms to PE remains unclear. In this case–control study, polymorphisms in BMAL1 and CLOCK were genotyped using MassARRAY in 202 PE patients (97 early-onset [eoPE], 105 late-onset [loPE]) and 400 controls. Following genotyping and linkage disequilibrium-pruning (r2 > 0.8) to retain representative tag SNPs, the final set for association analysis comprised three non-redundant BMAL1 SNPs (rs4757144, rs11022780, rs969485) and one CLOCK SNP (rs1048004). After confounder adjustment, no significant associations were detected for CLOCK variants, whereas the BMAL1 rs11022780 variant demonstrated a significant protective effect against PE (TT vs. CC: OR = 0.26 [95% CI 0.09–0.78]; recessive model: OR = 0.25 [95% CI 0.09–0.74]), particularly in the eoPE subgroup. Expression quantitative trait locus (eQTL) analysis confirmed that this SNP correlated with BMAL1 mRNA expression in whole blood, and protein–protein interaction analysis highlighted BMAL1′s central role in circadian networks, implying a genetically influenced regulatory mechanism of PE through BMAL1 expression.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Association of BMAL1 and CLOCK Gene Polymorphisms with Preeclampsia Risk with Subtype Analysis
- Date Crossref
- 06/11/2025
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Central South University pays non établi dans la noticeUniversité ou école supérieure
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Xiangya School of Public Health Department of Epidemiology and Health Statistics pays non établi dans la noticeUniversité ou école supérieure
Central South University et Department of Epidemiology and Health Statistics — Xiangya School of Public Health.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.