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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.
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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
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Boukhalfa W, Jmel H, Kheriji N, Gouiza I, Dallali H, Hechmi M, Kefi R. Decoding the genetic relationship between Alzheimer's disease and type 2 diabetes: potential risk variants and future direction for North Africa. Front Aging Neurosci 2023; 15:1114810. [PMID: 37342358 PMCID: PMC10277480 DOI: 10.3389/fnagi.2023.1114810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 04/11/2023] [Indexed: 06/22/2023] Open
Abstract
Introduction Alzheimer's disease (AD) and Type 2 diabetes (T2D) are both age-associated diseases. Identification of shared genes could help develop early diagnosis and preventive strategies. Although genetic background plays a crucial role in these diseases, we noticed an underrepresentation tendency of North African populations in omics studies. Materials and methods First, we conducted a comprehensive review of genes and pathways shared between T2D and AD through PubMed. Then, the function of the identified genes and variants was investigated using annotation tools including PolyPhen2, RegulomeDB, and miRdSNP. Pathways enrichment analyses were performed with g:Profiler and EnrichmentMap. Next, we analyzed variant distributions in 16 worldwide populations using PLINK2, R, and STRUCTURE software. Finally, we performed an inter-ethnic comparison based on the minor allele frequency of T2D-AD common variants. Results A total of 59 eligible papers were included in our study. We found 231 variants and 363 genes shared between T2D and AD. Variant annotation revealed six single nucleotide polymorphisms (SNP) with a high pathogenic score, three SNPs with regulatory effects on the brain, and six SNPs with potential effects on miRNA-binding sites. The miRNAs affected were implicated in T2D, insulin signaling pathways, and AD. Moreover, replicated genes were significantly enriched in pathways related to plasma protein binding, positive regulation of amyloid fibril deposition, microglia activation, and cholesterol metabolism. Multidimensional screening performed based on the 363 shared genes showed that main North African populations are clustered together and are divergent from other worldwide populations. Interestingly, our results showed that 49 SNP associated with T2D and AD were present in North African populations. Among them, 11 variants located in DNM3, CFH, PPARG, ROHA, AGER, CLU, BDNF1, CST9, and PLCG1 genes display significant differences in risk allele frequencies between North African and other populations. Conclusion Our study highlighted the complexity and the unique molecular architecture of North African populations regarding T2D-AD shared genes. In conclusion, we emphasize the importance of T2D-AD shared genes and ethnicity-specific investigation studies for a better understanding of the link behind these diseases and to develop accurate diagnoses using personalized genetic biomarkers.
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Affiliation(s)
- Wided Boukhalfa
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Tunis El Manar University, Tunis, Tunisia
- Faculty of Medicine of Tunis, Tunis, Tunisia
| | - Haifa Jmel
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Tunis El Manar University, Tunis, Tunisia
| | - Nadia Kheriji
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Tunis El Manar University, Tunis, Tunisia
- Faculty of Medicine of Tunis, Tunis, Tunisia
| | - Ismail Gouiza
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Tunis El Manar University, Tunis, Tunisia
- Faculty of Medicine of Tunis, Tunis, Tunisia
- University of Angers, MitoLab Team, Unité MitoVasc, UMR CNRS 6015, INSERM U1083, SFR ICAT, Angers, France
| | - Hamza Dallali
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Tunis El Manar University, Tunis, Tunisia
| | - Mariem Hechmi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Tunis El Manar University, Tunis, Tunisia
| | - Rym Kefi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, Tunis, Tunisia
- Tunis El Manar University, Tunis, Tunisia
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Xu J, Zhang W, Song W, Cui J, Tian Y, Chen H, Huang P, Yang S, Wang L, He X, Wang L, Shi B, Cui W. Relationship Between KCNQ1 Polymorphism and Type 2 Diabetes Risk in Northwestern China. Pharmgenomics Pers Med 2022; 14:1731-1751. [PMID: 35002291 PMCID: PMC8725845 DOI: 10.2147/pgpm.s340813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 11/10/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose This study aimed to explore the relationship between KCNQ1 polymorphism and type 2 diabetes mellitus (T2DM) risk in the population of Northwest China. Patients and Methods Case-control strategy was used to reveal the correlation between KCNQ1 polymorphism and T2DM risk, and MDR analysis clarified the influence of KCNQ1 polymorphism interaction on T2DM risk. The related proteins, functions, and signal pathways of KCNQ1 were further explored through bioinformatics methods. PCR was used to explore the relative expression of KCNQ1 in T2DM patients and the controls. Results Studies showed that rs163177, rs163184, rs2237895 and rs2283228 on the KCNQ1 gene are closely related to the risk of T2DM in Northwest China. MDR results showed that the three-locus model is the best model for T2DM risk assessment, which increases the risk of T2DM. The bioinformatics results showed that KCNQ1 closely-acted proteins are mainly involved in signal pathways such as gastric acid secretion and renin secretion. The PCR results showed that, compared with the controls, the expression of KCNQ1 was up-regulated in T2DM patients. Conclusion The results revealed that KCNQ1 polymorphism is related to the risk of T2DM in the population of Northwest China and provide a scientific basis for the early screening and prevention of T2DM high-risk populations.
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Affiliation(s)
- Jing Xu
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Wei Zhang
- Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Wei Song
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Jiaqi Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Yanni Tian
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Huan Chen
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Pan Huang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Shujun Yang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Lu Wang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Xin He
- Department of Endocrinology, Xi'an Aerospace General Hospital, Xi'an, Shaanxi, 710000, People's Republic of China
| | - Lin Wang
- Department of Endocrinology, Xi'an Gaoxin Hospital, Xi'an, Shaanxi, 710075, People's Republic of China
| | - Bingyin Shi
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Wei Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
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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.
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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
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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.
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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.
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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
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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]
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Khan IA, Jahan P, Hasan Q, Rao P. Genetic confirmation of T2DM meta-analysis variants studied in gestational diabetes mellitus in an Indian population. Diabetes Metab Syndr 2019; 13:688-694. [PMID: 30641791 DOI: 10.1016/j.dsx.2018.11.035] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 11/11/2018] [Indexed: 01/25/2023]
Abstract
BACKGROUND Meta-analysis is useful for combining the results of different studies statistically to confirm genuine associations in genetics. Based on earlier reports, we aimed to investigate the association between type 2 diabetes mellitus (T2DM) genetic variants identified in a previous meta-analysis in gestational diabetes mellitus (GDM) in an Indian woman. MATERIAL AND METHODS In this study, 137 pregnant women with GDM and 150 pregnant women were selected on the basis of their serum glucose levels. The six single nucleotide polymorphisms (SNPs) of different genes studied had known involvement in pancreatic β-cell function, particular pathways linked to T2DM, and other biological functions. Genomic DNA was isolated from the 287 women for polymerase chain reaction and restriction fragment length polymorphism analyses. RESULTS The rs7903146, rs13266634, rs2283228, rs5210 and rs179881 SNPs were found to be positively associated with GDM when calculated for genotype and allele frequencies (p < 0.05), but rs680 (ApaI) variant did not show statistically significant association (p = 0.31). The rs7903146, rs2283228, rs5210 and rs680 variants showed a strong association with oral glucose tolerance test values. CONCLUSION The SNPs studied in this GDM had the same role as those identified in a previous T2DM meta-analysis, and showed positive association in the Indian women. Meta-analyses should be implemented to assess the IGF2 gene in GDM subjects.
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Affiliation(s)
- Imran Ali Khan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, LB Nagar, Hyderabad, India; Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India; Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Parveen Jahan
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Qurratulain Hasan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, LB Nagar, Hyderabad, India; Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
| | - Pragna Rao
- Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India.
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Al-Shammari MS, Al-Ali R, Al-Balawi N, Al-Enazi MS, Al-Muraikhi AA, Busaleh FN, Al-Sahwan AS, Al-Elq A, Al-Nafaie AN, Borgio JF, AbdulAzeez S, Al-Ali A, Acharya S. Type 2 diabetes associated variants of KCNQ1 strongly confer the risk of cardiovascular disease among the Saudi Arabian population. Genet Mol Biol 2017; 40:586-590. [PMID: 28863213 PMCID: PMC5596376 DOI: 10.1590/1678-4685-gmb-2017-0005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 03/05/2017] [Indexed: 12/11/2022] Open
Abstract
Genome-wide association studies have identified several loci associated with an increased risk for cardiovascular disease (CVD) and type 2 diabetes (T2D). Polymorphisms within the KCNQ1 (potassium voltage-gated channel, KQT-like subfamily, member 1) gene are consistently associated with T2D in a number of populations. The current study was undertaken to evaluate the association of 3 polymorphisms of KCNQ1 (rs2237892, rs151290 and rs2237895) with T2D and/or CVD. Patients diagnosed with either T2D (320 patients), CVD (250 patients) or both (60 patients) and 516 healthy controls were genotyped by TaqMan assay run on a real time PCR thermocycler. A statistically significant association was found for SNPs rs151290 (OR = 1.76; 95%CI = 1.02-3.05; p = 0.0435) and rs2237895 (OR = 2.49; 95%CI = 1.72-3.61; p < 0.0001) with CVD. SNP rs151290 (OR = 7.43; 95%CI = 1.00-55.22; p = 0.0499) showed a strong association in patients with both T2D and CVD. None of the SNPs showed any significant association with T2D. Haploview analysis showed that the ACC (rs151290, rs2237892 and rs2237895) haplotype is the most significant risk allele combination for CVD, while CCA is the most significant risk haplotype for co-morbidity with T2D. KCNQ1 polymorphism at SNPs rs151290 and rs2237895 is strongly associated with CVD in this population, but presented no association with T2D.
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Affiliation(s)
| | - Rhaya Al-Ali
- College of Medicine, University of Dammam, Kingdom of Saudi Arabia
| | - Nader Al-Balawi
- College of Medicine, University of Dammam, Kingdom of Saudi Arabia
| | | | | | - Fadi N Busaleh
- College of Medicine, University of Dammam, Kingdom of Saudi Arabia
| | - Ali S Al-Sahwan
- College of Medicine, University of Dammam, Kingdom of Saudi Arabia
| | - Abdulmohsen Al-Elq
- King Fahd Hospital of the University, University of Dammam, Dammam, Kingdom of Saudi Arabia
| | - Awatif N Al-Nafaie
- King Fahd Hospital of the University, University of Dammam, Dammam, Kingdom of Saudi Arabia
| | - Jesu Francis Borgio
- Institute for Research and Medical Consultations (IRMC), University of Dammam, Kingdom of Saudi Arabia
| | - Sayed AbdulAzeez
- Institute for Research and Medical Consultations (IRMC), University of Dammam, Kingdom of Saudi Arabia
| | - Amein Al-Ali
- College of Medicine, University of Dammam, Kingdom of Saudi Arabia
| | - Sadananda Acharya
- Institute for Research and Medical Consultations (IRMC), University of Dammam, Kingdom of Saudi Arabia
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Yako YY, Guewo-Fokeng M, Balti EV, Bouatia-Naji N, Matsha TE, Sobngwi E, Erasmus RT, Echouffo-Tcheugui JB, Kengne AP. Genetic risk of type 2 diabetes in populations of the African continent: A systematic review and meta-analyses. Diabetes Res Clin Pract 2016; 114:136-50. [PMID: 26830076 DOI: 10.1016/j.diabres.2016.01.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 11/27/2015] [Accepted: 01/03/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Type 2 diabetes (T2D) is growing faster in Africa than anywhere else, driven by the dual effects of genetic and environmental factors. We conducted a systematic review and meta-analyses of published studies on genetic markers of T2D in populations within Africa. METHODS Multiple databases were searched for studies of genetic variants associated with T2D in populations living in Africa. Studies reporting on the association of a genetic marker with T2D or indicators of glycaemia were included. Data were extracted on study design and characteristics, genetic determinants, effect estimates of associations with T2D. FINDINGS Overall, 100 polymorphisms in 57 genes have been investigated in relation with T2D in populations within Africa, in 60 studies. Almost all studies used the candidate gene approach, with >88% published during 2006-2014 and 70% (42/60) originating from Tunisia and Egypt. Polymorphisms in ACE, AGRP, eNOS, GSTP1, HSP70-2, MC4R, MTHFR, PHLPP, POL1, TCF7L2, and TNF-α gene were found to be associated with T2D, with overlapping effect on various cardiometabolic traits. The polymorphisms investigated in multiple studies mostly had consistent effects across studies, with only modest or no statistical heterogeneity. Effect sizes were modestly significant [e.g., odd ratio 1.49 (95%CI 1.33-1.66) for TCF7L2 (rs7903146)]. Underpowered genome-wide studies revealed no diabetes risk loci specific to African populations. INTERPRETATION Current evidence on the genetic markers of T2D in African populations mostly originate from North African countries, is overall scanty and largely insufficient to reliably inform the genetic architecture of T2D across Africa.
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Affiliation(s)
- Yandiswa Y Yako
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaounde I, Yaounde, Cameroon
| | - Eric V Balti
- Diabetes Research Center, Faculty of Medicine and Pharmacy, Brussels Free University, Brussels, Belgium
| | - Nabila Bouatia-Naji
- INSERM UMR970 Paris Cardiovascular Research Center, 56 rue Leblanc F-75015 Paris, France; Paris Descartes University, PRES Paris Sorbonne, 12 rue de l'école de medecine F75006 Paris, France
| | - Tandi E Matsha
- Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Eugene Sobngwi
- Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Rajiv T Erasmus
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS), University of Stellenbosch, Cape Town, South Africa
| | - Justin B Echouffo-Tcheugui
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Medicine, MedStar Health System, Baltimore, MD, USA
| | - Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa; The George Institute for Global Health, The University of Sydney, Sydney, NSW, Australia.
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11
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Gao K, Wang J, Li L, Zhai Y, Ren Y, You H, Wang B, Wu X, Li J, Liu Z, Li X, Huang Y, Luo XP, Hu D, Ohno K, Wang C. Polymorphisms in Four Genes (KCNQ1 rs151290, KLF14 rs972283, GCKR rs780094 and MTNR1B rs10830963) and Their Correlation with Type 2 Diabetes Mellitus in Han Chinese in Henan Province, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13030260. [PMID: 26927145 PMCID: PMC4808923 DOI: 10.3390/ijerph13030260] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 01/24/2016] [Accepted: 02/16/2016] [Indexed: 01/02/2023]
Abstract
Genetic variants at KCNQ1 rs151290, KLF14 rs972283, GCKR rs780094 and MTNR1B rs10830963 have been associated with type 2 diabetes mellitus (T2DM), but the results are contradictory in Chinese populations. The aim of the present study was to investigate the association of these four SNPs with T2DM in a large population of Han Chinese at Henan province, China. Seven-hundred-thirty-six patients with T2DM (cases) and Seven-hundred-sixty-eight healthy glucose-tolerant controls were genotyped for KCNQ1 rs151290, KLF14 rs972283, GCKR rs780094 and MTNR1B rs10830963. The association of genetic variants in these four genes with T2DM was analyzed using multivariate logistic regression. Genotypes and allele distributions of KCNQ1 rs151290 were significantly different between the cases and controls (p < 0.05). The AC and CC genotypes and the combined AC + CC genotype of rs151290 in KCNQ1 were associated with increases risk of T2DM before (OR = 1.482, 95% CI = 1.062–2.069; p = 0.021; OR = 1.544, 95% CI = 1.097–2.172, p = 0.013; and OR = 1.509, 95% CI = 1.097–2.077, p = 0.011, respectively) and after (OR = 1.539, 95% CI = 1.015–2.332, p = 0.042; OR = 1.641, 95% CI = 1.070–2.516, p = 0.023; and OR = 1.582, 95% CI = 1.061–2.358, p = 0.024; respectively) adjustment for sex, age, anthropometric measurements, biochemical indexes, smoking and alcohol consumption. Consistent with results of genotype analysis, the C allele of rs151290 in KCNQ1 was also associated with increased risk of T2DM (OR = 1.166, 95% CI = 1.004–1.355, p = 0.045). No associations between genetic variants of KLF14 rs972283, GCKR rs780094 or MTNR1B rs10830963 and T2DM were detected. The AC and CC genotypes and the C allele of rs151290 in KCNQ1 may be risk factors for T2DM in Han Chinese in Henan province.
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Affiliation(s)
- Kaiping Gao
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Jinjin Wang
- Department of Traditional Chinese Medicine Prevention, Preventive Medicine Research Evaluation Center, Henan University of Traditional Chinese Medicine, Zhengzhou 450001, China.
| | - Linlin Li
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Yujia Zhai
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Yongcheng Ren
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Haifei You
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Bingyuan Wang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Xuli Wu
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Jianna Li
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Zichen Liu
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Xiong Li
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Yaxin Huang
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Xin-Ping Luo
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Dongsheng Hu
- Department of Preventive Medicine, School of Medicine, Shenzhen University, Shenzhen 518060, China.
| | - Kinji Ohno
- Division of Neurogenetics, Center for Neurological Diseases and Cancer, University Graduate School of Medicine, Nagoya 4668550, Japan.
| | - Chongjian Wang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
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12
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Khan IA, Vattam KK, Jahan P, Mukkavali KK, Hasan Q, Rao P. Correlation between KCNQ1 and KCNJ11 gene polymorphisms and type 2 and post-transplant diabetes mellitus in the Asian Indian population. Genes Dis 2015; 2:276-282. [PMID: 30258870 PMCID: PMC6150093 DOI: 10.1016/j.gendis.2015.02.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 02/24/2015] [Indexed: 12/18/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) and post-transplant diabetes mellitus (PTDM) share a common pathophysiology. However, diabetes mellitus is a complex disease, and T2DM and PTDM have different etiologies. T2DM is a metabolic disorder, characterized by persistent hyperglycemia, whereas PTDM is a condition of abnormal glucose tolerance, with variable onset after organ transplant. The KCNQ1 and KCNJ11 gene encode potassium channels, which mediate insulin secretion from pancreatic β-cells, and KCN gene mutations are correlated with the development of diabetes. However, no studies have been carried out to establish an association between KCNQ1 and KCNJ11 gene polymorphisms and T2DM and PTDM. Therefore, our study was aimed at the identification of the role of KCNQ1 and KCNJ11 gene polymorphisms associated with T2DM and the risk of developing PTDM in the Asian Indian population. We have carried out a case-control study including 250 patients with T2DM, 250 control subjects, 42 patients with PTDM and 98 subjects with non-PTDM. PCR-RFLP analysis was carried out following the isolation of genomic DNA from EDTA-blood samples. The results of the present study reveal that two single nucleotide polymorphisms (rs2283228 and rs5210, of the KCNQ1 and KCNJ11 genes, respectively) are associated with both T2DM and PTDM. The results of our study suggest a role of KCNQ1 and KCNJ11 gene variants in the increased risk of T2DM and PTDM in the Asian Indian population.
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Affiliation(s)
- Imran Ali Khan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | - Kiran Kumar Vattam
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
| | - Parveen Jahan
- Department of Genetics and Biotechnology, Osmania University, Tarnaka, Hyderabad, India
| | | | - Qurratulain Hasan
- Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India
- Department of Genetics, Vasavi Medical and Research Centre, Khairathabad, Hyderabad, India
| | - Pragna Rao
- Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
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13
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Siddiqui K, Tyagi S. Genetics, genomics and personalized medicine in Type 2 diabetes: a perspective on the Arab region. Per Med 2015; 12:417-431. [DOI: 10.2217/pme.15.11] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Type 2 diabetes (T2D) is a wide-spread, chronic metabolic disorder, affecting millions of people worldwide. The epidemic of diabetes has placed a huge strain on public health, longevity and economy. T2D occurs as a result of both genetic and environmental factors and is heterogeneous in its presentation across individuals. This review gives an overview of the genetic variations identified by genome-wide association studies which predispose individuals to T2D and those which are responsible for variable drug response across patients, and the necessity to adopt a personalized approach to diabetes management. We also include a perspective on diabetes in Arabs, given the high incidence of T2D and consanguineous marriages, and the need to understand associated genetic components in this vulnerable population.
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Affiliation(s)
- Khalid Siddiqui
- Strategic Center for Diabetes Research, College of Medicine, King Saud University, P.O. Box 245, Riyadh 11411, Kingdom of Saudi Arabia
| | - Shivani Tyagi
- Freelance writer, Al Rajhi Street, Sulaimaniyah District, Riyadh, Kingdom of Saudi Arabia
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14
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Turki A, Al-Zaben GS, Khirallah M, Marmouch H, Mahjoub T, Almawi WY. Gender-dependent associations of CDKN2A/2B, KCNJ11, POLI, SLC30A8, and TCF7L2 variants with type 2 diabetes in (North African) Tunisian Arabs. Diabetes Res Clin Pract 2014; 103:e40-3. [PMID: 24485399 DOI: 10.1016/j.diabres.2013.12.040] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2013] [Revised: 12/03/2013] [Accepted: 12/23/2013] [Indexed: 11/23/2022]
Abstract
We investigated the impact of gender on T2DM association with confirmed susceptibility loci. CDKN2A/2B rs10811661, KCNJ11 rs5219, and TCF7L2 rs7903146 were associated with T2DM in females, while POLI rs488846 was associated with T2DM among males; the association of SLC30A8 rs13266634 and TCF7L2 rs4506565, rs12243326, and rs12255372 with T2DM was gender-independent.
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Affiliation(s)
- Amira Turki
- Research Unit of Biology and Genetics of Hematological and Autoimmune diseases, Faculty of Pharmacy of Monastir, University of Monastir, Monastir, Tunisia
| | - Ghadeer S Al-Zaben
- Department of Medical Biochemistry, Arabian Gulf University, Manama, Bahrain
| | - Moncef Khirallah
- Department of Ophthalmology, CHU Fattouma Bourguiba, Monastir, Tunisia
| | - Hela Marmouch
- Department of Endocrinology, CHU Fattouma Bourguiba, Monastir, Tunisia
| | - Touhami Mahjoub
- Research Unit of Biology and Genetics of Hematological and Autoimmune diseases, Faculty of Pharmacy of Monastir, University of Monastir, Monastir, Tunisia
| | - Wassim Y Almawi
- Department of Medical Biochemistry, Arabian Gulf University, Manama, Bahrain.
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15
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Wang J, Zhang J, Shen J, Hu D, Yan G, Liu X, Xu X, Pei L, Li Y, Sun C. Association of KCNQ1 and KLF14 polymorphisms and risk of type 2 diabetes mellitus: A global meta-analysis. Hum Immunol 2014; 75:342-7. [PMID: 24486580 DOI: 10.1016/j.humimm.2014.01.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2013] [Revised: 01/03/2014] [Accepted: 01/14/2014] [Indexed: 12/31/2022]
Abstract
rs151290 in KCNQ1 and rs972283 in KLF14 have been evaluated in terms of risk of type 2 diabetes mellitus (T2DM), but the results are inconsistent. We performed an meta-analysis to assess the contributions of rs151290 in KCNQ1 and rs972283 in KLF14 to risk of T2DM. We searched the worldwide literature published from 2008 to 2013 in MEDLINE via PubMed, EMBASE, Cochrane CENTRAL and Chinese databases. Two reviewers extracted data independently using a standardized protocol, and any discrepancies were resolved by a third reviewer. Fixed- and random-effects meta-analyses were performed to pool the odds ratios (ORs). Publication bias and heterogeneity were examined. A total of 11 articles were included in the meta-analysis: 6 studies with 6696 cases and 7151 controls investigated rs151290 in KCNQ1, and 5 studies with 50,552 cases and 106,535 controls investigated rs972283 in KLF14. We obtained highly significant ORs for the risk allele C for rs151290 and the risk allele G for rs972283. The population attributable risk percentage for rs151290 and rs972283 was 6.83% and 4.18%, respectively. The risk allele C of rs151290 in KCNQ1 and risk allele G of rs972283 in KLF14 were both associated with increased risk of T2DM in a global population.
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Affiliation(s)
- Jinjin Wang
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
| | - Jianfeng Zhang
- Henan Armed Police Corps Hospital, Zhengzhou 450000, People's Republic of China.
| | - Jie Shen
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
| | - Dongsheng Hu
- Shenzhen University School of Medicine, Shenzhen 518060, People's Republic of China.
| | - Guoli Yan
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
| | - Xiaohui Liu
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
| | - Xueqin Xu
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
| | - Lanying Pei
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
| | - Yanfang Li
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
| | - Chunyang Sun
- Discipline of Public Health and Preventive Medicine, Center of Preventive Medicine Research and Assessment, Henan University of Traditional Chinese Medicine, Zhengzhou 450008, People's Republic of China.
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Almawi WY, Nemr R, Keleshian SH, Echtay A, Saldanha FL, AlDoseri FA, Racoubian E. A replication study of 19 GWAS-validated type 2 diabetes at-risk variants in the Lebanese population. Diabetes Res Clin Pract 2013; 102:117-22. [PMID: 24145053 DOI: 10.1016/j.diabres.2013.09.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Revised: 07/25/2013] [Accepted: 09/05/2013] [Indexed: 12/20/2022]
Abstract
AIM Recent genome-wide association scans (GWAS) and replication studies have expanded the list of validated type 2 diabetes (T2DM) susceptibility loci. We replicated T2DM association of 19 SNPs from 15 candidate loci in Lebanese Arabs. METHODS Case-control association study, comprising 995 T2DM patients and 1076 control participants. We genotyped by the allelic discrimination method 19 SNPs in/near ADAM30, NOTCH2, THADA, TMEFF2, COL8A1, ADAMTS9-AS2, WFS1, JAZF1, SLC30A8, KCNQ1, LOC387761, ALX4, TSPAN8, FTO, and HNF1. RESULTS Allele frequencies of the tested SNPs were comparable with those of Caucasians. COL8A1 rs792837 (P=2.9 × 10(-9)), KCNQ1 rs2237892 (P=1.8 × 10(-18)) and rs2237895 (P=0.002), ALX4 rs729287 (Pc=7.5 × 10(-5)), and HNF1 rs4430796 (P=0.003) were significantly associated with T2DM, with similar effect sizes to those of Europeans. While FTO rs8050136 and rs17817449, ADAMTS9 rs4607103, and WFS1 rs10010131 were initially associated with T2DM, this was lost upon multiple testing correction. The remaining variants were not associated with T2DM, possibly resulting from insufficient power to detect smaller allele effects. CONCLUSION In addition to previous findings on the association of IGF2BP2, CDKAL1, TCF7L2 variants with T2DM among Lebanese, here we extend these by validating the association of five additional loci with T2DM in Lebanese Arabs.
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Affiliation(s)
- Wassim Y Almawi
- Department of Medical Biochemistry, Arabian Gulf University, Manama, Bahrain.
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