Genome-wide analysis study of gestational diabetes mellitus and related pathogenic factors in a Chinese Han population

• Published in: BMC pregnancy and childbirth Vol. 23; no. 1; pp. 856 - 9
• Main Authors: Yue, Shufan, Pei, Ling, Lai, Fenghua, Xiao, Huangmeng, Li, Zeting, Zeng, Rui, Chen, Li, Chen, Wenzhan, Liu, Huiling, Li, Yanbing, Xiao, Haipeng, Cao, Xiaopei
• Format: Journal Article
• Language: English
• Published: England BioMed Central 12.12.2023; BMC
• Subjects: Blood Glucose - metabolism; Body mass index; Deoxyribonucleic acid; Diabetes, Gestational - epidemiology; DNA; Ethnicity; Female; Genes; Genome-Wide Association Study; Genomes; Gestational diabetes; Gestational Diabetes Mellitus; Glucose; Glucose - metabolism; GWAS; Humans; Insulin resistance; Insulin Resistance - genetics; Metabolism; Nuclear Proteins - genetics; Obesity; Plasma; Polymorphism, Single Nucleotide; Pregnancy; Protein-Arginine N-Methyltransferases - genetics; Quality control; Regression analysis; SNP; Susceptibility gene; Womens health; United States > US; China; Gestational Diabetes Mellitus; GWAS; SNP; Susceptibility gene
• DOI: 10.1186/s12884-023-06167-3
• ISSN: 1471-2393

Gestational diabetes mellitus (GDM) affects the metabolism of both the mother and fetus during and after pregnancy. Genetic factors are important in the pathogenesis of GDM, and associations vary by ethnicity. However, related studies about the relationship between the susceptibility genes and glucose traits remain limited in China. This study aimed to identify genes associated with GDM susceptibility in Chinese Han women and validate those findings using clinical data during pregnancy and postpartum period. A genome-wide association study (GWAS) of 398 Chinese Han women (199 each with and without GDM) was conducted and associations between single nucleotide polymorphisms (SNPs) and glucose metabolism were identified by searching public databases. Relationships between filtered differential SNPs and glucose metabolism were verified using clinical data during pregnancy. The GDM group were followed up postpartum to evaluate the progression of glucose metabolism. We identified five novel SNPs with genome-wide significant associations with GDM: rs62069863 in TRPV3 gene and rs2232016 in PRMT6 gene were positive correlated with 1 h plasma glucose (1hPG) and 2 h plasma glucose (2hPG), rs1112718 in HHEX/EXOC6 gene and rs10460009 in LPIN2 gene were positive associated with fasting plasma glucose, 1hPG and 2hPG, rs927316 in GLIS3 gene was negative correlated with 2hPG. Of the 166 GDM women followed up postpartum, rs62069863 in TRPV3 gene was positively associated with fasting insulin, homoeostasis model assessment of insulin resistance. The variants of rs62069863 in TRPV3 gene, rs2232016 in PRMT6 gene, rs1112718 in HHEX/EXOC6 gene, rs927316 in GLIS3 gene, and rs10460009 in LPIN2 gene were newly-identified susceptibility loci for GDM in the Chinese Han population. TRPV3 was associated with worse insulin resistance postpartum. This study was registered in the Chinese Clinical Trial Registry. ChiCTR2100043762. Date of first registration: 28/02/2021.