1
|
Li DX, Yin LP, Song YQ, Shao NN, Zhu H, He CS, Sun JJ. KCNQ1 rs2237895 gene polymorphism increases susceptibility to type 2 diabetes mellitus in Asian populations. World J Diabetes 2024; 15:552-564. [PMID: 38591089 PMCID: PMC10999049 DOI: 10.4239/wjd.v15.i3.552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/13/2023] [Accepted: 02/02/2024] [Indexed: 03/15/2024] Open
Abstract
BACKGROUND The association of single nucleotide polymorphism of KCNQ1 gene rs2237895 with type 2 diabetes mellitus (T2DM) is currently controversial. It is unknown whether this association can be gene realized across different populations. AIM To determine the association of KCNQ1 rs2237895 with T2DM and provide reliable evidence for genetic susceptibility to T2DM. METHODS We searched PubMed, Embase, Web of Science, Cochrane Library, Medline, Baidu Academic, China National Knowledge Infrastructure, China Biomedical Liter-ature Database, and Wanfang to investigate the association between KCNQ1 gene rs2237895 and the risk of T2DM up to January 12, 2022. Review Manager 5.4 was used to analyze the association of the KCNQ1 gene rs2237895 polymorphism with T2DM and to evaluate the publication bias of the selected literature. RESULTS Twelve case-control studies (including 11273 cases and 11654 controls) met our inclusion criteria. In the full population, allelic model [odds ratio (OR): 1.19; 95% confidence interval (95%CI): 1.09-1.29; P < 0.0001], recessive model (OR: 1.20; 95%CI: 1.11-1.29; P < 0.0001), dominant model (OR: 1.27. 95%CI: 1.14-1.42; P < 0.0001), and codominant model (OR: 1.36; 95%CI: 1.15-1.60; P = 0.0003) (OR: 1.22; 95%CI: 1.10-1.36; P = 0.0002) indicated that the KCNQ1 gene rs2237895 polymorphism was significantly correlated with susceptibility to T2DM. In stratified analysis, this association was confirmed in Asian populations: allelic model (OR: 1.25; 95%CI: 1.13-1.37; P < 0.0001), recessive model (OR: 1.29; 95%CI: 1.11-1.49; P = 0.0007), dominant model (OR: 1.35; 95%CI: 1.20-1.52; P < 0.0001), codominant model (OR: 1.49; 95%CI: 1.22-1.81; P < 0.0001) (OR: 1.26; 95%CI: 1.16-1.36; P < 0.0001). In non-Asian populations, this association was not significant: Allelic model (OR: 1.06, 95%CI: 0.98-1.14; P = 0.12), recessive model (OR: 1.04; 95%CI: 0.75-1.42; P = 0.83), dominant model (OR: 1.06; 95%CI: 0.98-1.15; P = 0.15), codominant model (OR: 1.08; 95%CI: 0.82-1.42; P = 0.60. OR: 1.15; 95%CI: 0.95-1.39; P = 0.14). CONCLUSION KCNQ1 gene rs2237895 was significantly associated with susceptibility to T2DM in an Asian population. Carriers of the C allele had a higher risk of T2DM. This association was not significant in non-Asian populations.
Collapse
Affiliation(s)
- Dong-Xu Li
- First Clinical Medical College, Anhui Medical University, Hefei 230032, Anhui Province, China
| | - Li-Ping Yin
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, Anhui Province, China
| | - Yu-Qi Song
- First Clinical Medical College, Anhui Medical University, Hefei 230032, Anhui Province, China
| | - Nan-Nan Shao
- School of Clinical Medicine, Anhui Medical University, Hefei 230031, Anhui Province, China
| | - Huan Zhu
- First Clinical Medical College, Anhui Medical University, Hefei 230032, Anhui Province, China
| | - Chen-Sen He
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, Anhui Province, China
| | - Jiang-Jie Sun
- School of Health Care Management, Anhui Medical University, Hefei 230032, Anhui Province, China
| |
Collapse
|
2
|
Jiang HL, Du H, Deng YJ, Liang X. Effect of KCNQ1 rs2237892 polymorphism on the predisposition to type 2 diabetes mellitus: An updated meta-analysis. Diabetol Metab Syndr 2021; 13:75. [PMID: 34238370 PMCID: PMC8264960 DOI: 10.1186/s13098-021-00683-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 06/02/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Previous studies have analyzed the potential effect of KCNQ1 rs2237892 polymorphism on the predisposition to type 2 diabetes mellitus, but the findings are inconclusive and the subject of debate. The purpose of our study was to provide further insight into the potential association between KCNQ1 rs2237892 polymorphism and the risk of type 2 diabetes mellitus. METHODS In total, 50 articles (60 studies) with 77,276 cases and 76,054 controls were utilized in our analysis. The pooled odds ratio (OR), 95% confidence interval (95% CI), and p value were used to evaluate the significance of our findings. Funnel plots and Beggar's regression tests were utilized to determine the presence of publication bias. RESULTS Our meta-analysis results indicated that KCNQ1 rs2237892 polymorphism could be correlated with the risk of type 2 diabetes mellitus under the C allelic, recessive, and dominant genetic models (OR = 1.25, 95% 1.19-1.32, p < 0.001; OR = 1.50, 95% CI 1.34-1.68, p < 0.001; OR = 1.26, 95% CI 1.14-1.40, p < 0.001, respectively). Additionally, ethnicity analysis revealed that the source of control, case size, and Hardy-Weinberg Equilibrium status were correlated to the polymorphism in the three genetic models. CONCLUSIONS Our meta-analysis demonstrated significant evidence to support the association between KCNQ1 rs2237892 polymorphism and predisposition to type 2 diabetes mellitus.
Collapse
Affiliation(s)
- Hong-Liang Jiang
- Department of Anorectal Medicine, Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Gaozhou, 525025, Guangdong, China
| | - Han Du
- Dermatology Department of Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, No. 32 Maoming Avenue, Gaozhou, 525025, Guangdong, China.
| | - Ying-Jun Deng
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong, China
| | - Xue Liang
- Department of Science and Education, Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Gaozhou, 525025, Guangdong, China
| |
Collapse
|
3
|
Han WJ, Deng JY, Jin H, Yin LP, Yang JX, Sun JJ. Association of KCNQ1rs2237892C⟶T Gene with Type 2 Diabetes Mellitus: A Meta-Analysis. J Diabetes Res 2021; 2021:6606830. [PMID: 34853793 PMCID: PMC8629679 DOI: 10.1155/2021/6606830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases in adults, causing high morbidity and mortality worldwide. In recent years, the prevalence of T2DM has been increasing significantly, and genome-wide association studies (GWAS) have shown that KCNQ1 significantly increases the risk of T2DM. OBJECTIVE To find large-scale evidence on whether the KCNQ1rs2237892C⟶T gene polymorphism is associated with T2DM susceptibility. METHODS A comprehensive review of the Chinese and English literature on the association of T2DM with KCNQ1rs2237892 is published by PubMed and Baidu Academic. The included literature was part or all of the studied loci which were evaluated for association with T2DM. Forest plots were made of the included literature to analyze the association of KCNQ1 with polymorphisms of the studied loci, and funnel plots and Egger's test were used to evaluate the publication bias of the selected included literature. RESULTS Ten case-control studies including a total of 7027 cases and 8208 controls met our inclusion criteria. Allele (C allele frequency distribution) (OR: 1.19; 95% CI: 0.87,1.62; P < 0.00001), recessive (OR: 0.73; 95% CI: 0.45,1.18; P < 0.00001) genetic model under the full population was observed between KCNQ1rs2237892C⟶T gene polymorphism and T2DM without a significant relationship. In a stratified analysis by race, a meaningful association was found in non-Asian populations under the allelic genetic model, but no association was found in Asian populations. CONCLUSION This meta-analysis showed no significant association between the rs2237892 polymorphism of the KCNQ1 gene and the risk of T2DM.
Collapse
Affiliation(s)
- Wen-Jia Han
- School of Dentistry, Anhui Medical University, Hefei, Anhui 230032, China
| | - Jian-Yi Deng
- Clinical Medical College, Anhui Medical University, Hefei, Anhui 230032, China
| | - Hua Jin
- Inner Mongolia University For Nationalities, Affiliated Hospital, Nationalities, 028000, China
| | - Li-Ping Yin
- Medical Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Jin-Xia Yang
- Health Management College, Anhui Medical University, Hefei, Anhui 230032, China
| | - Jiang-Jie Sun
- Health Management College, Anhui Medical University, Hefei, Anhui 230032, China
| |
Collapse
|
4
|
KCNQ1 common genetic variant and type 2 diabetes mellitus risk. J Diabetes Metab Disord 2020; 19:47-51. [PMID: 32550155 DOI: 10.1007/s40200-019-00473-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Accepted: 11/29/2019] [Indexed: 12/16/2022]
Abstract
Background Type 2 diabetes mellitus (T2DM) is a multifactorial trait that both environmental and genetic factors contribute to its pathogenesis. The most common single nucleotide polymorphism (SNP) of the potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene, rs2237892, is highly associated with the risk of T2DM. The aim of the present study was to examine any association between KCNQ1 gene rs2237892 variant and risk of T2DM in a group of Iranian patients. Methods Genotyping was carried out in 100 type 2 diabetic patients and 100 non-diabetic subjects using the Sanger sequencing method. Results The CC genotype caused more than 30% reduction in the risk of T2DM in compared with CT. Nonetheless, this association was not statistically significant and this variant had no protective effect for T2DM. A significant difference was not found in genotypes (CC, CT, and TT) and alleles (C and T) frequency of KCNQ1 rs2237892 SNP between T2DM and control groups (P = 0.475 and P = 0.470, respectively). Conclusions Our investigations did not show enough evidence for the presence of an association between KCNQ1 gene rs2237892 polymorphism and risk of T2DM among a group of Iranian patients.
Collapse
|
5
|
Yu XX, Liao MQ, Zeng YF, Gao XP, Liu YH, Sun W, Zhu S, Zeng FF, Ye YB. Associations of KCNQ1 Polymorphisms with the Risk of Type 2 Diabetes Mellitus: An Updated Meta-Analysis with Trial Sequential Analysis. J Diabetes Res 2020; 2020:7145139. [PMID: 32695830 PMCID: PMC7362295 DOI: 10.1155/2020/7145139] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 04/10/2020] [Accepted: 04/28/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Previous studies have examined the role of the KQT-like subfamily Q member1 (KCNQ1) gene polymorphisms on the risk of type 2 diabetes mellitus (T2DM), but the findings are inconclusive. OBJECTIVE To examine the association between the KCNQ1 gene polymorphisms and the risk of T2DM using an updated meta-analysis with an almost tripled number of studies. METHODS Five electronic databases, such as PubMed and Embase, were searched thoroughly for relevant studies on the associations between seven most studied KCNQ1 gene polymorphisms, including rs2237892, rs2237897, rs2237895, rs2283228, rs231362, rs151290, and rs2074196, and T2DM risk up to September 14, 2019. The summary odds ratios (ORs) with their 95% confidence intervals (CIs) were applied to assess the strength of associations in the random-effects models. We used the trial sequential analysis (TSA) to measure the robustness of the evidence. RESULTS 49 publications including 55 case-control studies (68,378 cases and 66,673 controls) were finally enrolled. In overall analyses, generally, increased T2DM risk was detected for rs2237892, rs2237895, rs2283228, rs151290, and rs2074196, but not for rs231362 under all genetic models. The ORs and 95% CIs for allelic comparison were 1.23 (1.14-1.33) for rs2237892, 1.21 (1.16-1.27) for rs2237895, 1.27 (1.11-1.46) for rs2237897, 1.25 (1.09-1.42) for rs2283228, 1.14 (1.03-1.27) for rs151290, 1.31 (1.23-1.39) for rs2074196, and 1.16 (0.83, 1.61) for rs231362. Stratified analyses showed that associations for rs2237892, rs2237895, rs2283228, and rs151290 were more evident among Asians than Caucasians. TSA demonstrated that the evidence was sufficient for all polymorphisms in this study. The genotypes of the three SNPs (rs2237892, rs2283228, and rs231362) were significantly correlated with altered KCNQ1 gene expression. CONCLUSION This meta-analysis suggested that KCNQ1 gene polymorphisms (rs2237892, rs2283228, rs2237895, rs151290, and rs2074196) might be the susceptible factors for T2DM, especially among Asian population.
Collapse
Affiliation(s)
- Xiao-xuan Yu
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Min-qi Liao
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yu-fei Zeng
- Department of Obstetrics and Gynecology, Shangrao Fifth People's Hospital, Shangrao, Jiangxi 334000, China
| | - Xu-ping Gao
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yan-hua Liu
- The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052 Henan, China
| | - Wei Sun
- Customs Comprehensive Laboratory, Baiyun International Airport Customs, Hengyi Road, Guangzhou, 510080 Guangdong, China
| | - Sui Zhu
- Department of Medical Statistics, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Fang-fang Zeng
- Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou, 510632 Guangdong, China
| | - Yan-bin Ye
- Department of Nutrition, The First Affiliated Hospital of Sun Yat-sen University, 58# Zhongshan Road 2, Guangzhou, 510080 Guangdong, China
| |
Collapse
|
6
|
Afshardoost S, Sarhangi N, Afshari M, Aghaei Meybodi HR, Hasanzad M. The influence of a genetic variant in the KCNQ1 gene on type 2 diabetes mellitus development. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
|
7
|
Gao Q, Dolikun M, Štambuk J, Wang H, Zhao F, Yiliham N, Wang Y, Trbojević-Akmačić I, Zhang J, Fang H, Sun Y, Peng H, Zhao Z, Liu D, Liu J, Li Q, Sun Q, Wu L, Lauc G, Wang W, Song M. Immunoglobulin GN-Glycans as Potential Postgenomic Biomarkers for Hypertension in the Kazakh Population. ACTA ACUST UNITED AC 2017; 21:380-389. [DOI: 10.1089/omi.2017.0044] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Qing Gao
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Mamatyusupu Dolikun
- College of the Life Sciences and Technology, Xinjiang University, Urumqi, China
| | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Hao Wang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Feifei Zhao
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Nizam Yiliham
- College of the Life Sciences and Technology, Xinjiang University, Urumqi, China
| | - Youxin Wang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | | | - Jie Zhang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Honghong Fang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yang Sun
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Hongli Peng
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Zhongyao Zhao
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Di Liu
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Jiaonan Liu
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qihuan Li
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qi Sun
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lijuan Wu
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Wei Wang
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Manshu Song
- School of Public Health, Capital Medical University, Beijing, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| |
Collapse
|