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Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population

To date, only three polymorphisms (rs10830962, rs7754840 and rs1470579) are included in the genome-wide association study Catalog (www.ebi.ac.uk/gwas). However, the available evidence is limited in pregnant Chinese women. We aimed to explore the associations of three polymorphisms (rs10830962, rs775...

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Autores principales: Xie, Kaipeng, Chen, Ting, Zhang, Yue, Wen, Juan, Cui, Xianwei, You, Lianghui, Zhu, Lijun, Xu, Bo, Ji, Chenbo, Guo, Xirong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440982/
https://www.ncbi.nlm.nih.gov/pubmed/30926842
http://dx.doi.org/10.1038/s41598-019-41605-3
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author Xie, Kaipeng
Chen, Ting
Zhang, Yue
Wen, Juan
Cui, Xianwei
You, Lianghui
Zhu, Lijun
Xu, Bo
Ji, Chenbo
Guo, Xirong
author_facet Xie, Kaipeng
Chen, Ting
Zhang, Yue
Wen, Juan
Cui, Xianwei
You, Lianghui
Zhu, Lijun
Xu, Bo
Ji, Chenbo
Guo, Xirong
author_sort Xie, Kaipeng
collection PubMed
description To date, only three polymorphisms (rs10830962, rs7754840 and rs1470579) are included in the genome-wide association study Catalog (www.ebi.ac.uk/gwas). However, the available evidence is limited in pregnant Chinese women. We aimed to explore the associations of three polymorphisms (rs10830962, rs7754840 and rs1470579) with GDM risk in a Chinese population. We conducted a case-control study (964 GDM cases and 1,021 controls) to evaluate the associations of these polymorphisms with GDM risk. A logistic regression model was used to calculate odds ratios (ORs) and their confidence intervals (CIs). After adjustment for age, prepregnancy BMI, parity, abnormal pregnancy history and family history of diabetes, the minor allele of rs10830962 (C > G) demonstrated a significant association with an increased risk of GDM (OR = 1.16, 95% CI = 1.02–1.31, P = 0.029 in the additive model). However, no significant association was observed between the other two polymorphisms and GDM. Subsequent functional annotation shows that rs10830962 is located in the regulatory elements of pancreatic islets, alters the binding affinity of motifs and regulates SNORA8 expression. Our findings demonstrate that rs10830962 is associated with an increased risk of GDM in the Chinese population. Further functional characterization is warranted to uncover the mechanism of the genotype-phenotype association.
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spelling pubmed-64409822019-04-04 Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population Xie, Kaipeng Chen, Ting Zhang, Yue Wen, Juan Cui, Xianwei You, Lianghui Zhu, Lijun Xu, Bo Ji, Chenbo Guo, Xirong Sci Rep Article To date, only three polymorphisms (rs10830962, rs7754840 and rs1470579) are included in the genome-wide association study Catalog (www.ebi.ac.uk/gwas). However, the available evidence is limited in pregnant Chinese women. We aimed to explore the associations of three polymorphisms (rs10830962, rs7754840 and rs1470579) with GDM risk in a Chinese population. We conducted a case-control study (964 GDM cases and 1,021 controls) to evaluate the associations of these polymorphisms with GDM risk. A logistic regression model was used to calculate odds ratios (ORs) and their confidence intervals (CIs). After adjustment for age, prepregnancy BMI, parity, abnormal pregnancy history and family history of diabetes, the minor allele of rs10830962 (C > G) demonstrated a significant association with an increased risk of GDM (OR = 1.16, 95% CI = 1.02–1.31, P = 0.029 in the additive model). However, no significant association was observed between the other two polymorphisms and GDM. Subsequent functional annotation shows that rs10830962 is located in the regulatory elements of pancreatic islets, alters the binding affinity of motifs and regulates SNORA8 expression. Our findings demonstrate that rs10830962 is associated with an increased risk of GDM in the Chinese population. Further functional characterization is warranted to uncover the mechanism of the genotype-phenotype association. Nature Publishing Group UK 2019-03-29 /pmc/articles/PMC6440982/ /pubmed/30926842 http://dx.doi.org/10.1038/s41598-019-41605-3 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xie, Kaipeng
Chen, Ting
Zhang, Yue
Wen, Juan
Cui, Xianwei
You, Lianghui
Zhu, Lijun
Xu, Bo
Ji, Chenbo
Guo, Xirong
Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population
title Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population
title_full Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population
title_fullStr Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population
title_full_unstemmed Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population
title_short Association of rs10830962 polymorphism with gestational diabetes mellitus risk in a Chinese population
title_sort association of rs10830962 polymorphism with gestational diabetes mellitus risk in a chinese population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440982/
https://www.ncbi.nlm.nih.gov/pubmed/30926842
http://dx.doi.org/10.1038/s41598-019-41605-3
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