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Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China

BACKGROUND: Gestational diabetes mellitus (GDM) increased risk of perinatal complications for both the women and the fetuses. The association between the vitamin D receptor (VDR) gene polymorphism and GDM has not been thoroughly investigated in Chinese pregnant women. Therefore, we aimed to determin...

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Autores principales: Liu, Jianqiong, Dai, Qiong, Li, Wei, Guo, Yan, Dai, Anna, Wang, Yanqing, Deng, Mengyao, Tang, Zhao, She, Lu, Chen, Xiaohong, Yang, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887796/
https://www.ncbi.nlm.nih.gov/pubmed/33596840
http://dx.doi.org/10.1186/s12884-021-03621-y
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author Liu, Jianqiong
Dai, Qiong
Li, Wei
Guo, Yan
Dai, Anna
Wang, Yanqing
Deng, Mengyao
Tang, Zhao
She, Lu
Chen, Xiaohong
Yang, Mei
author_facet Liu, Jianqiong
Dai, Qiong
Li, Wei
Guo, Yan
Dai, Anna
Wang, Yanqing
Deng, Mengyao
Tang, Zhao
She, Lu
Chen, Xiaohong
Yang, Mei
author_sort Liu, Jianqiong
collection PubMed
description BACKGROUND: Gestational diabetes mellitus (GDM) increased risk of perinatal complications for both the women and the fetuses. The association between the vitamin D receptor (VDR) gene polymorphism and GDM has not been thoroughly investigated in Chinese pregnant women. Therefore, we aimed to determine whether VDR gene single nucleotide polymorphisms (SNPs) rs154410, rs7975232, rs731236, rs2228570 and rs739837 contribute to GDM risk in Wuhan, China. Moreover, we aimed to explore their combined effects on the risk of GDM. METHODS: Pregnant women who had prenatal examinations at 24 to 28 weeks’ gestation in our hospital from January 15, 2018 to March 31, 2019 were included in this case-control study. After exclusion, a total of 1684 pregnant women (826 GDM patients and 858 non-diabetic controls) were recruited. The clinical information and blood samples were collected by trained interviewers and nurses. Genotyping of candidate SNPs was conducted on the Sequenom MassARRAY platform. Statistical analyses including t-test, ANOVA, chi-square test and logistic regression were performed to the data with SPSS Software to evaluate differences in genotype distribution and associations with GDM risk. Multifactor dimensionality reduction method was used to explore the gene-gene interactions on the risk of GDM. RESULTS: Differences in age, pre-pregnancy BMI, family history of diabetes and previous history of GDM between the case and control groups were statistically significant (P < 0.05), whereas no significant differences were found in height, gravidity, parity, and age of menarche (P > 0.05). There were no significant differences at genotype distributions of the examined VDR gene SNPs (P > 0.05). After adjusting by age, pre-pregnancy BMI, family history of diabetes, the results of logistic regression analysis showed no associations of the five SNPs with GDM in all the four genotype models(P > 0.05). Furthermore, there were no gene-gene interactions on the GDM risk among the five examined VDR gene SNPs. CONCLUSIONS: The VDR gene SNPs rs154410, rs7975232, rs731236, rs2228570 and rs739837 showed neither significant associations nor gene-gene interactions with GDM in Wuhan, China.
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spelling pubmed-78877962021-02-22 Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China Liu, Jianqiong Dai, Qiong Li, Wei Guo, Yan Dai, Anna Wang, Yanqing Deng, Mengyao Tang, Zhao She, Lu Chen, Xiaohong Yang, Mei BMC Pregnancy Childbirth Research Article BACKGROUND: Gestational diabetes mellitus (GDM) increased risk of perinatal complications for both the women and the fetuses. The association between the vitamin D receptor (VDR) gene polymorphism and GDM has not been thoroughly investigated in Chinese pregnant women. Therefore, we aimed to determine whether VDR gene single nucleotide polymorphisms (SNPs) rs154410, rs7975232, rs731236, rs2228570 and rs739837 contribute to GDM risk in Wuhan, China. Moreover, we aimed to explore their combined effects on the risk of GDM. METHODS: Pregnant women who had prenatal examinations at 24 to 28 weeks’ gestation in our hospital from January 15, 2018 to March 31, 2019 were included in this case-control study. After exclusion, a total of 1684 pregnant women (826 GDM patients and 858 non-diabetic controls) were recruited. The clinical information and blood samples were collected by trained interviewers and nurses. Genotyping of candidate SNPs was conducted on the Sequenom MassARRAY platform. Statistical analyses including t-test, ANOVA, chi-square test and logistic regression were performed to the data with SPSS Software to evaluate differences in genotype distribution and associations with GDM risk. Multifactor dimensionality reduction method was used to explore the gene-gene interactions on the risk of GDM. RESULTS: Differences in age, pre-pregnancy BMI, family history of diabetes and previous history of GDM between the case and control groups were statistically significant (P < 0.05), whereas no significant differences were found in height, gravidity, parity, and age of menarche (P > 0.05). There were no significant differences at genotype distributions of the examined VDR gene SNPs (P > 0.05). After adjusting by age, pre-pregnancy BMI, family history of diabetes, the results of logistic regression analysis showed no associations of the five SNPs with GDM in all the four genotype models(P > 0.05). Furthermore, there were no gene-gene interactions on the GDM risk among the five examined VDR gene SNPs. CONCLUSIONS: The VDR gene SNPs rs154410, rs7975232, rs731236, rs2228570 and rs739837 showed neither significant associations nor gene-gene interactions with GDM in Wuhan, China. BioMed Central 2021-02-17 /pmc/articles/PMC7887796/ /pubmed/33596840 http://dx.doi.org/10.1186/s12884-021-03621-y Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Jianqiong
Dai, Qiong
Li, Wei
Guo, Yan
Dai, Anna
Wang, Yanqing
Deng, Mengyao
Tang, Zhao
She, Lu
Chen, Xiaohong
Yang, Mei
Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China
title Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China
title_full Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China
title_fullStr Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China
title_full_unstemmed Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China
title_short Association of vitamin D receptor gene polymorphisms with gestational diabetes mellitus-a case control study in Wuhan, China
title_sort association of vitamin d receptor gene polymorphisms with gestational diabetes mellitus-a case control study in wuhan, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887796/
https://www.ncbi.nlm.nih.gov/pubmed/33596840
http://dx.doi.org/10.1186/s12884-021-03621-y
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