Melatonin Receptor 1B Genetic Variants on Susceptibility to Gestational Diabetes Mellitus: A Hospital-Based Case-Control Study in Wuhan, Central China

Jianqiong Liu; Wei Li; Bei Liu; Anna Dai; Yanqin Wang; Lu She; Pei Zhang; Wenpei Zheng; Qiong Dai; Mei Yang

doi:10.2147/DMSO.S345036

Melatonin Receptor 1B Genetic Variants on Susceptibility to Gestational Diabetes Mellitus: A Hospital-Based Case-Control Study in Wuhan, Central China

Diabetes Metab Syndr Obes. 2022 Apr 20:15:1207-1216. doi: 10.2147/DMSO.S345036. eCollection 2022.

Authors

Jianqiong Liu^#¹, Wei Li^#¹, Bei Liu², Anna Dai³, Yanqin Wang¹, Lu She^{4

5}, Pei Zhang^{4

5}, Wenpei Zheng¹, Qiong Dai¹, Mei Yang^{4

5}

Affiliations

¹ Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China.
² Technical Guidance Institute, Jinan Family Planning Service Center, Jinan, Shandong Province, People's Republic of China.
³ School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People's Republic of China.
⁴ School of Medicine, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China.
⁵ Research Center for Health Promotion in Women, Youth and Children, Wuhan University of Science and Technology, Wuhan, Hubei Province, People's Republic of China.

^# Contributed equally.

Abstract

Purpose: The aim of the study was to find out the associations of Melatonin receptor 1B (MTNR1B) genetic variants with gestational diabetes mellitus (GDM) in Wuhan of central China.

Patients and methods: A hospital-based case-control study that included 1679 women was carried out to explore the associations of MTNR1B single nucleotide polymorphisms (SNPs) with GDM risk, which were analyzed through logistic regression analysis by adjusting age, pre-pregnancy BMI and family history of diabetes. Multifactor dimensionality reduction was applied to determine gene-gene interactions between SNPs.

Results: MTNR1B SNPs rs10830962, rs10830963, rs1387153, rs7936247 and rs4753426 were significantly associated with GDM risk (P<0.05). The rs10830962/G, rs10830963/G, rs1387153/T, and rs7936247/T were risk variants, whereas rs4753426/T was protective variant for GDM development. Fasting plasma glucose (FPG) and 1h-plasma glucose (PG) were significantly different among genotypes at rs10830962 and rs10830963, whereas 2h-PG levels were not. Gene-gene interactions were not found among the five SNPs on GDM risk.

Conclusion: MTNR1B genetic variants have significant associations but no gene-gene interactions with GDM risk in central Chinese population. Furthermore, MTNR1B SNPs have significant relationships with glycemic traits.

Keywords: gene–gene interactions; gestational diabetes mellitus; melatonin receptor 1B; multifactor dimensionality reduction; single nucleotide polymorphisms.

Grants and funding

This work was supported by The National Natural Science Fund of China (81703239), Chinese Center for Disease Control and Prevention (2018FYH014) and Health Commission of Hubei Province (WJ2018H0134; WJ2018H0145).