Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population

IntroductionThe potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene is recognized as a type 2 diabetes mellitus (T2DM) susceptibility gene. However, there is limited data regarding the association between KCNQ1 gene polymorphisms and gestational diabetes mellitus (GDM) susceptibility i...

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Main Authors: Yanying Wu, Yuxuan Zhang, Xin Liu, Jia Liu, Zhaotao He, Yue Wei, Qiaoli Zeng, Runmin Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Endocrinology
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Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1451942/full
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author Yanying Wu
Yanying Wu
Yanying Wu
Yuxuan Zhang
Yuxuan Zhang
Yuxuan Zhang
Xin Liu
Xin Liu
Xin Liu
Jia Liu
Jia Liu
Jia Liu
Zhaotao He
Zhaotao He
Zhaotao He
Yue Wei
Qiaoli Zeng
Qiaoli Zeng
Qiaoli Zeng
Runmin Guo
Runmin Guo
Runmin Guo
author_facet Yanying Wu
Yanying Wu
Yanying Wu
Yuxuan Zhang
Yuxuan Zhang
Yuxuan Zhang
Xin Liu
Xin Liu
Xin Liu
Jia Liu
Jia Liu
Jia Liu
Zhaotao He
Zhaotao He
Zhaotao He
Yue Wei
Qiaoli Zeng
Qiaoli Zeng
Qiaoli Zeng
Runmin Guo
Runmin Guo
Runmin Guo
author_sort Yanying Wu
collection DOAJ
description IntroductionThe potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene is recognized as a type 2 diabetes mellitus (T2DM) susceptibility gene. However, there is limited data regarding the association between KCNQ1 gene polymorphisms and gestational diabetes mellitus (GDM) susceptibility in China. To explore the association between KCNQ1 gene polymorphisms and GDM susceptibility in a Chinese population.MethodsWe conducted a case-control study including 500 pregnant women with GDM and 502 pregnant women with normal glucose tolerance (as controls). Blood samples and clinical data were collected. KCNQ1 gene rs2237897, rs163184, rs151290, and rs2237892 were genotyped by SNPscan™ genotyping assay. Using SPSS V.26.0, statistical analysis was performed to explore the association of KCNQ1 gene polymorphisms with GDM and genotypes with blood glucose levels. Meta-analysis was further validated in different populations.ResultsAfter being adjusted for confounding factors (age, parity, pre-pregnancy BMI (pre-BMI) and blood pressure) and Bonferroni correction, rs2237897 showed an association with decreased GDM risk in codominant heterozygous (CT vs. CC: OR = 0.537; 95% CI: 0.354-0.816; P = 0.004) and overdominant models (CT vs. CC+TT: OR = 0.533; 95% CI: 0.355-0.801; P = 0.002) in pregnant women aged < 30 years. However, rs2237892, rs151290, and rs163184 did not found associations with GDM after Bonferroni correction. Meta-analysis showed that rs2237892 was associated with decreased GDM risk in different races in dominant (TC+TT vs. CC: OR = 0.830; 95% CI: 0.699-0.985; P = 0.033), recessive (TT vs. CT+CC: OR = 0.733; 95% CI: 0.612-0.877; P = 0.001), codominant homozygous (TT vs. CC: OR = 0.679; 95% CI: 0.562-0.820; P < 0.001), codominant heterozygous (TC vs. CC: OR = 0.843; 95% CI: 0.753-0.945; P = 0.003) and allele models (T vs. C: OR = 0.852; 95% CI: 0.740-0.982; P = 0.027).ConclusionKCNQ1 rs2237897 is associated with decreased GDM risk in a Chinese population. Although rs2237892 did not found association with GDM risk in our subjects, meta-analysis confirmed that rs2237892 is associated with reduced GDM risk across different populations. Further studies are needed to confirm these findings and elucidate the mechanisms.
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spelling doaj-art-5f0b19bc0e7342d7a6efb93cfd78d0992025-08-20T03:16:05ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-07-011610.3389/fendo.2025.14519421451942Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese populationYanying Wu0Yanying Wu1Yanying Wu2Yuxuan Zhang3Yuxuan Zhang4Yuxuan Zhang5Xin Liu6Xin Liu7Xin Liu8Jia Liu9Jia Liu10Jia Liu11Zhaotao He12Zhaotao He13Zhaotao He14Yue Wei15Qiaoli Zeng16Qiaoli Zeng17Qiaoli Zeng18Runmin Guo19Runmin Guo20Runmin Guo21Department of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaKey Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, ChinaMaternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaDepartment of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaKey Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, ChinaMaternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaDepartment of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaKey Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, ChinaMaternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaDepartment of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaKey Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, ChinaMaternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaDepartment of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaKey Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, ChinaMaternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaDepartment of Ultrasound, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaDepartment of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaKey Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, ChinaMaternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaDepartment of Internal Medicine, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaKey Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, Guangdong, ChinaMaternal and Child Research Institute, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, ChinaIntroductionThe potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene is recognized as a type 2 diabetes mellitus (T2DM) susceptibility gene. However, there is limited data regarding the association between KCNQ1 gene polymorphisms and gestational diabetes mellitus (GDM) susceptibility in China. To explore the association between KCNQ1 gene polymorphisms and GDM susceptibility in a Chinese population.MethodsWe conducted a case-control study including 500 pregnant women with GDM and 502 pregnant women with normal glucose tolerance (as controls). Blood samples and clinical data were collected. KCNQ1 gene rs2237897, rs163184, rs151290, and rs2237892 were genotyped by SNPscan™ genotyping assay. Using SPSS V.26.0, statistical analysis was performed to explore the association of KCNQ1 gene polymorphisms with GDM and genotypes with blood glucose levels. Meta-analysis was further validated in different populations.ResultsAfter being adjusted for confounding factors (age, parity, pre-pregnancy BMI (pre-BMI) and blood pressure) and Bonferroni correction, rs2237897 showed an association with decreased GDM risk in codominant heterozygous (CT vs. CC: OR = 0.537; 95% CI: 0.354-0.816; P = 0.004) and overdominant models (CT vs. CC+TT: OR = 0.533; 95% CI: 0.355-0.801; P = 0.002) in pregnant women aged < 30 years. However, rs2237892, rs151290, and rs163184 did not found associations with GDM after Bonferroni correction. Meta-analysis showed that rs2237892 was associated with decreased GDM risk in different races in dominant (TC+TT vs. CC: OR = 0.830; 95% CI: 0.699-0.985; P = 0.033), recessive (TT vs. CT+CC: OR = 0.733; 95% CI: 0.612-0.877; P = 0.001), codominant homozygous (TT vs. CC: OR = 0.679; 95% CI: 0.562-0.820; P < 0.001), codominant heterozygous (TC vs. CC: OR = 0.843; 95% CI: 0.753-0.945; P = 0.003) and allele models (T vs. C: OR = 0.852; 95% CI: 0.740-0.982; P = 0.027).ConclusionKCNQ1 rs2237897 is associated with decreased GDM risk in a Chinese population. Although rs2237892 did not found association with GDM risk in our subjects, meta-analysis confirmed that rs2237892 is associated with reduced GDM risk across different populations. Further studies are needed to confirm these findings and elucidate the mechanisms.https://www.frontiersin.org/articles/10.3389/fendo.2025.1451942/fullgestational diabetes mellituspotassium voltage-gated channel subfamily Q member 1single nucleotide polymorphismrs2237897rs163184rs151290
spellingShingle Yanying Wu
Yanying Wu
Yanying Wu
Yuxuan Zhang
Yuxuan Zhang
Yuxuan Zhang
Xin Liu
Xin Liu
Xin Liu
Jia Liu
Jia Liu
Jia Liu
Zhaotao He
Zhaotao He
Zhaotao He
Yue Wei
Qiaoli Zeng
Qiaoli Zeng
Qiaoli Zeng
Runmin Guo
Runmin Guo
Runmin Guo
Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population
Frontiers in Endocrinology
gestational diabetes mellitus
potassium voltage-gated channel subfamily Q member 1
single nucleotide polymorphism
rs2237897
rs163184
rs151290
title Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population
title_full Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population
title_fullStr Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population
title_full_unstemmed Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population
title_short Association between KCNQ1 gene polymorphisms and gestational diabetes mellitus susceptibility in a Chinese population
title_sort association between kcnq1 gene polymorphisms and gestational diabetes mellitus susceptibility in a chinese population
topic gestational diabetes mellitus
potassium voltage-gated channel subfamily Q member 1
single nucleotide polymorphism
rs2237897
rs163184
rs151290
url https://www.frontiersin.org/articles/10.3389/fendo.2025.1451942/full
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