SynthesisDiabetes & metabolism journal2025
Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women.
Synthesis in Diabetes & metabolism journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Maternal and fetal genetic predispositions to insulin deficiency and resistance affect fetal growth through distinct pathways.Diabetologia · 2026Article
- Opportunities and Challenges for Precision Nutrition in Gestational Obesity Management.Current obesity reports · 2026Review
- Gestational Diabetes and Genetics:Genes · 2026Review
- Association between maternal glucose levels in pregnancy and offspring's metabolism and adiposity: an 18-year birth cohort study.Diabetologia · 2025Article
- DNA Methylation Biomarkers Predict Offspring Metabolic Risk From Mothers With Hyperglycemia in Pregnancy.Diabetes · 2025Article
- Polygenic Risk Score Associated with Gestational Diabetes Mellitus in an AmericanIndian Population.Journal of personalized medicine · 2025Article
- Advancing Early Prediction of Gestational Diabetes Mellitus with Circular RNA Biomarkers.Diabetes & metabolism journal · 2025Article
- Apolipoprotein C1 -317H1/H2 and the rs4420638 genetic variations and risk of gestational diabetes mellitus in Chinese women: a case-control study.Frontiers in endocrinology · 2025Article
- Farrerol Alleviates Diabetic Cardiomyopathy by Regulating AMPK-Mediated Cardiac Lipid Metabolic Pathways in Type 2 Diabetic Rats.Cell biochemistry and biophysics · 2024Article
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Authors and funding
19 authors.
Funding
Abstract
backgruoundThe genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
methodsWe performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
resultsUsing the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI], 1.38 to 1.96), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
conclusionOur results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
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