Literature DB >> 31269844

A genome-wide association study of gestational diabetes mellitus in Chinese women.

Nan-Nan Wu1,2,3, Dong Zhao2,3, Wei Ma4, Jia-Nan Lang2,3, Si-Mo Liu2,3, Ying Fu2,3, Xin Wang2,3, Zong-Wei Wang2,3, Qiang Li1.   

Abstract

BACKGROUND: Recently, gestational diabetes mellitus (GDM) exhibits an obvious trend of increase in pregnant mothers and usually causes several abnormities or diseases for the offspring. Although several studies have been reported for potential molecular mechanisms, relevant genes or mutated sites have not been intensively investigated in China.
MATERIALS AND METHODS: In the present study, 218 pregnant mothers (GDM group: 103 individuals and control group: 115 individuals) in China were enrolled to conduct genome-wide association study (GWAS) and pathway analyses for the purpose of related genes associated with GDM in China.
RESULTS: Our results identified 23 SNPs exhibiting closely association with GDM using multiple tests. Annotation of these 23 SNPs identified four genes (SYNPR, CDH18, CTIF, and PTGIS), which suggests that the four genes may associate with GDM. GO enrichment and KEGG pathway analysis showed that gene SYNPR, CDH18, and PTGIS were enriched or located into the pathways or process associated with glycometabolism (e.g. insulin resistance and glucose tolerance), which further indicates that the three genes may associate with the GDM.
CONCLUSION: The identification of these potential genes associating with GDM enriched the potential molecular mechanisms of GDM in Asia and will provide abundant stocks for subsequent clinical verifications for better understanding the molecular mechanisms, diagnosis, drug development and clinical treatment of GDM.

Entities:  

Keywords:  GO enrichment; Genome-wide association study; KEGG pathway; molecular mechanisms; gestational diabetes mellitus

Mesh:

Year:  2019        PMID: 31269844     DOI: 10.1080/14767058.2019.1640205

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  5 in total

1.  Clinical efficiency of simultaneous CNV-seq and whole-exome sequencing for testing fetal structural anomalies.

Authors:  Xinlin Chen; Yulin Jiang; Ruiguo Chen; Qingwei Qi; Xiujuan Zhang; Sheng Zhao; Chaoshi Liu; Weiyun Wang; Yuezhen Li; Guoqiang Sun; Jieping Song; Hui Huang; Chen Cheng; Jianguang Zhang; Longxian Cheng; Juntao Liu
Journal:  J Transl Med       Date:  2022-01-03       Impact factor: 5.531

2.  Association between functional genetic variants in retinoid X receptor-α/γ and the risk of gestational diabetes mellitus in a southern Chinese population.

Authors:  Xiang-Yuan Yu; Li-Ping Song; Hui-Ting Zheng; Shu-Dan Wei; Xiao-Lan Wen; Bo Huang; Da-Bin Liu
Journal:  Biosci Rep       Date:  2021-10-29       Impact factor: 3.840

Review 3.  Genomics and Epigenomics of Gestational Diabetes Mellitus: Understanding the Molecular Pathways of the Disease Pathogenesis.

Authors:  Nadia Abu Samra; Herbert F Jelinek; Habiba Alsafar; Farah Asghar; Muhieddine Seoud; Shahad M Hussein; Hisham M Mubarak; Siddiq Anwar; Mashal Memon; Nariman Afify; Ridda Manzoor; Zahrah Al-Homedi; Wael Osman
Journal:  Int J Mol Sci       Date:  2022-03-23       Impact factor: 5.923

4.  Defining Heterogeneity Among Women With Gestational Diabetes Mellitus.

Authors:  Camille E Powe; Marie-France Hivert; Miriam S Udler
Journal:  Diabetes       Date:  2020-08-25       Impact factor: 9.461

5.  Common Variants in NUS1 and GP2 Genes Contributed to the Risk of Gestational Diabetes Mellitus.

Authors:  Tianxiao Zhang; Longrui Zhao; Shujin Wang; Juan Liu; Ying Chang; Louyan Ma; Jia Feng; Yu Niu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-29       Impact factor: 5.555

  5 in total

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