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Association of Variants in PPAR gamma(2), IGF2BP2, and KCNQ1 with a Susceptibility to Gestational Diabetes Mellitus in a Korean Population

Authors
Chon, Seung JooKim, Suk YoungCho, Nu ReeMin, Dle LaeHwang, Yu JinMamura, Mizuko
Issue Date
1-Mar-2013
Publisher
YONSEI UNIV COLLEGE MEDICINE
Keywords
Gestational diabetes mellitus; type 2 diabetes mellitus; gene; single nucleotide polymorphism
Citation
YONSEI MEDICAL JOURNAL, v.54, no.2, pp.352 - 357
Journal Title
YONSEI MEDICAL JOURNAL
Volume
54
Number
2
Start Page
352
End Page
357
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14692
DOI
10.3349/ymj.2013.54.2.352
ISSN
0513-5796
Abstract
Purpose: Patients with gestational diabetes mellitus (GDM) have been reported to exhibit the same genetic susceptibility as that observed in those with type 2 diabetes mellitus (T2DM). Recent polymorphism studies have shown that several genes are related to T2DM and GDM. The aim of this study was to examine whether certain candidate genes, previously shown to be associated with T2DM, also offer a specific genetic predisposition to GDM. Materials and Methods: The current study was conducted in 136 Korean pregnant women, who gave birth at Gil Hospital, from October 2008 to May 2011. These study subjects included 95 subjects with GDM and 41 non-diabetic controls. We selected the specific genes of PPAR gamma(2), IGF2BP2, and KCNQ1 for study and amplified them using the polymerase chain reaction. This was followed by genotyping for single nucleotide polymorphisms. We then compared the genotype frequencies between patients with GDM and nondiabetic controls using the chi(2) test. We obtained and analyzed clinical information using Student's t-test, and statistical analyses were conducted using logistic regression with SPSS Statistics software, version 19.0. Results: Significant differences were observed in maternal age, body mass index, weight gain and weight at time of delivery between the groups compared. Among pregnant women, polymorphisms in PPAR gamma(2) and IGF2BP2 were shown to be highly correlated with GDM occurrence, whereas no correlation was found for KCNQ1 polymorphisms. Conclusion: Our results indicated that genetic polymorphisms could also be of value in predicting the occurrence and diagnosis of GDM.
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