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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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Amine Ikhanjal M, Ali Elouarid M, Zouine C, El Alami H, Errafii K, Ghazal H, Alidrissi N, Bakkali F, Benmoussa A, Hamdi S. FTO gene variants (rs9939609, rs8050136 and rs17817449) and type 2 diabetes mellitus risk: A Meta-Analysis. Gene 2023; 887:147791. [PMID: 37696421 DOI: 10.1016/j.gene.2023.147791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 07/31/2023] [Accepted: 09/08/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND AND AIMS There is tremendous increase in type 2 diabetes mellitus (T2DM) worldwide. The impact of FTO gene polymorphisms on the risk of T2DM is not yet clear because of the controversial results of studies. This meta-analysis aimed to better clarify the association between three FTO gene polymorphisms SNPs (rs9939609, rs8050136 and rs17817449) and T2DM in a larger combined population worldwide. MATERIAL AND METHODS A comprehensive search on the PubMed, Science Direct, and Web of Science databases was conducted to identify investigations in relationship between different FTO gene polymorphisms (rs9939609, rs8050136 and rs17817449) and T2DM globally. Published papers from January 2007 to May 2023 were collected. Inclusion criteria are limited to human case-control studies published in English and peer-reviewed, which provided data on the genotype distributions of FTO gene polymorphisms and T2DM risk. Odds ratios (OR) and 95% confidence intervals (CI) were calculated to express the results of the meta-analysis. Potential sources of bias and heterogeneity using Egger's regression analysis were also assessed. RESULTS Of 234695 identified articles, forty-eight studies were selected including 36,051 patients with T2DM and 51,266 control subjects. Overall, we found a significant increased risk of T2DM susceptibility and rs9939609 FTO gene polymorphism in the Allele contrast (A vs. T: OR = 1,30, 95% CI = 1.14; 1.48, P < 0,05, I2 = 0,94), Recessive model (AA vs. AT + TT: OR = 1,54, 95% CI = 1.19; 2.00, P < 0,05, I2 = 0,94), Dominant model (AA + AT vs. TT: OR = 1,26, 95% CI = 1.10; 1.45, P < 0,05, I2 = 0,89), homozygote model (AA vs. TT: OR = 1,60, 95% CI = 1.26; 2.03, P < 0,05, I2 = 0,90), and heterozygote model (AA vs. AT: OR = 1,43, 95% CI = 1.09; 1.88, P = 0,008, I2 = 0,93). we also found a significantly increased risk of T2DM susceptibility and rs8050136 FTO gene polymorphism under all models. For rs17817449 we did not find any association between with T2DM. CONCLUSION The present meta-analysis confirms that rs9939609 and rs8050136 in the FTO gene are significantly associated with T2DM, while rs17817449 does not show any association.
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Affiliation(s)
- Mohammed Amine Ikhanjal
- Environmental Health Laboratory, Institut Pasteur du Maroc, Morocco; University of Mohamed VI of Sciences and Health, Morocco.
| | - Mohammed Ali Elouarid
- Environmental Health Laboratory, Institut Pasteur du Maroc, Morocco; University of Mohamed VI of Sciences and Health, Morocco.
| | - Chaimae Zouine
- Environmental Health Laboratory, Institut Pasteur du Maroc, Morocco; University of Mohamed VI of Sciences and Health, Morocco.
| | - Houda El Alami
- Environmental Health Laboratory, Institut Pasteur du Maroc, Morocco.
| | - Khaoula Errafii
- African Genomic Center (AGC), University Mohamed VI Polytechnic, Bengurir, Morocco.
| | - Hassan Ghazal
- Laboratory of Genomics, Bioinformatics and Digital Health, School of Medicine, Mohammed VI University of Science and Health, Casablanca, Morocco;s Royal Institute for Management Training, Rabat, Morocco.
| | - Najib Alidrissi
- Department of Surgery and Laboratory of Genomics, Bioinformatics and Digital Health, School of Medicine, Mohammed VI University of Health Sciences, Casablanca, Morocco; Hospital Cheikh Khalifa, Casablanca, Morocco.
| | - Fadil Bakkali
- University of Mohamed VI of Sciences and Health, Morocco; Laboratory of toxicology, toxicogenomics and ecotoxicology, University of Mohamed VI of Sciences and Health, Morocco.
| | - Adnane Benmoussa
- University of Mohamed VI of Sciences and Health, Morocco; Laboratory of toxicology, toxicogenomics and ecotoxicology, University of Mohamed VI of Sciences and Health, Morocco.
| | - Salsabil Hamdi
- Environmental Health Laboratory, Institut Pasteur du Maroc, Morocco.
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A review on the role of ADAMTS9-AS2 in different disorders. Pathol Res Pract 2023; 243:154346. [PMID: 36746036 DOI: 10.1016/j.prp.2023.154346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/22/2023] [Accepted: 01/26/2023] [Indexed: 01/30/2023]
Abstract
Recent decade has seen a tremendous progress in identification of the role of different long non-coding RNAs (lncRNAs) in human pathologies. ADAMTS9-AS2 is an example of lncRNAs with different roles in human disorders. It is mostly acknowledged as a tumor suppressor lncRNA in different types of cancers. However, it has been reported to be up-regulated in tongue squamous cell carcinoma, salivary adenoid cystic carcinoma and glioblastoma. Moreover, ADAMTS9-AS2 is possibly involved in the pathoetiology of pulpitis, acute ischemic stroke, type 2 diabetes and its complications. This lncRNA sponges miR-196b-5p, miR-223-3p, miR-130a-5p, miR-600, miR-223-3p, miR-27a-3p, miR-32, miR-143-3p, miR-143-3p and miR-182-5p in order to regulate downstream mRNAs. This review aims at summarization of the role of ADAMTS9-AS2 in different disorders with a particular focus on its diagnostic and prognostic values.
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Hubacek JA, Dlouha L, Adamkova V, Dlouha D, Pacal L, Kankova K, Galuska D, Lanska V, Veleba J, Pelikanova T. Genetic risk score is associated with T2DM and diabetes complications risks. Gene X 2022; 849:146921. [PMID: 36174902 DOI: 10.1016/j.gene.2022.146921] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/09/2022] [Accepted: 09/21/2022] [Indexed: 10/14/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a prototypical complex disease with polygenic architecture playing an important role in determining susceptibility to develop the disease (and its complications) in subjects exposed to modifiable lifestyle factors. A current challenge is to quantify the degree of the individual's genetic risk using genetic risk scores (GRS) capturing the results of genome-wide association studies while incorporating possible ethnicity- or population-specific differences. METHODS This study included three groups of T2DM (T2DM-I, N=1,032; T2DM-II, N=353; and T2DM-III, N=399) patients and 2,481 diabetes-free subjects. The status of the microvascular and macrovascular diabetes complications were known for the T2DM-I patients. Overall, 21 single nucleotide polymorphisms (SNPs) were analyzed, and selected subsets were used to determine the GRS (both weighted - wGRS and unweighted - uGRS) for T2DM risk predictions (6 SNPs) and for predicting the risks of complications (7 SNPs). RESULTS The strongest T2DM markers (P<0.0001) were within the genes for TCF7L2 (transcription factor 7-like 2), FTO (fat mass and obesity associated protein) and ARAP1 (ankyrin repeat and PH domain 1). The T2DM-I subjects with uGRS values greater (Odds Ratio, 95% Confidence Interval) than six had at least twice (2.00, 1.72-2.32) the risk of T2DM development (P<0.0001), and these results were confirmed in the independent groups (T2DM-II 1.82, 1.45-2.27; T2DM-III 2.63, 2.11-3.27). The wGRS (>0.6) further improved (P<0.000001) the risk estimations for all three T2DM groups. The uGRS was also a significant predictor of neuropathy (P<0.0001), nephropathy (P<0.005) and leg ischemia (P<0.0005). CONCLUSIONS If carefully selected and specified, GRS, both weighted and unweighted, could be significant predictors of T2DM development, as well as the diabetes complications development.
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Affiliation(s)
- Jaroslav A Hubacek
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; 3rd Department of Internal Medicine, 1(st) Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Lucie Dlouha
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
| | - Vera Adamkova
- Department of Preventive Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic; Czech Technical University of Prague, Faculty of Biomedical Engineering, Prague, Czech Republic
| | - Dana Dlouha
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Lukas Pacal
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Katerina Kankova
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - David Galuska
- Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Vera Lanska
- Statistical Unit, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jiri Veleba
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Terezie Pelikanova
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
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Jang HM, Hwang MY, Kim BJ, Kim YJ. Validation and genetic heritability estimation of known type 2 diabetes related variants in the Korean population. Genomics Inform 2022; 19:e37. [PMID: 35012284 PMCID: PMC8752982 DOI: 10.5808/gi.21071] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 12/14/2021] [Indexed: 12/28/2022] Open
Abstract
Genome-wide association studies (GWASs) facilitated the discovery of countless disease-associated variants. However, GWASs have mostly been conducted in European ancestry samples. Recent studies have reported that these European-based association results may reduce disease prediction accuracy when applied in non-Europeans. Therefore, previously reported variants should be validated in non-European populations to establish reliable scientific evidence for precision medicine. In this study, we validated known associations with type 2 diabetes (T2D) and related metabolic traits in 125,850 samples from a Korean population genotyped by the Korea Biobank Array (KBA). At the end of December 2020, there were 8,823 variants associated with glycemic traits, lipids, liver enzymes, and T2D in the GWAS catalog. Considering the availability of imputed datasets in the KBA genome data, publicly available East-Asian T2D summary statistics, and the linkage disequilibrium among the variants (r2 < 0.2), 2,900 independent variants were selected for further analysis. Among these, 1,837 variants (63.3%) were statistically significant (p ≤ 0.05). Most of the non-replicated variants (n = 1,063) showed insufficient statistical power and decreased minor allele frequencies compared with the replicated variants. Moreover, most of known variants showed <10% genetic heritability. These results could provide valuable scientific evidence for future study designs, the current power of GWASs, and future applications in precision medicine in the Korean population.
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Affiliation(s)
- Hye-Mi Jang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju 28159, Korea
| | - Mi Yeong Hwang
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju 28159, Korea
| | - Bong-Jo Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju 28159, Korea
| | - Young Jin Kim
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Cheongju 28159, Korea
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The association between FTO polymorphisms and type 2 diabetes in Asian populations: A meta-analysis. Meta Gene 2021. [DOI: 10.1016/j.mgene.2021.100958] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
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El-Kebbi IM, Bidikian NH, Hneiny L, Nasrallah MP. Epidemiology of type 2 diabetes in the Middle East and North Africa: Challenges and call for action. World J Diabetes 2021; 12:1401-1425. [PMID: 34630897 PMCID: PMC8472500 DOI: 10.4239/wjd.v12.i9.1401] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 06/21/2021] [Accepted: 08/02/2021] [Indexed: 02/06/2023] Open
Abstract
Type 2 diabetes continues to be a serious and highly prevalent public health problem worldwide. In 2019, the highest prevalence of diabetes in the world at 12.2%, with its associated morbidity and mortality, was found in the Middle East and North Africa region. In addition to a genetic predisposition in its population, evidence suggests that obesity, physical inactivity, urbanization, and poor nutritional habits have contributed to the high prevalence of diabetes and prediabetes in the region. These risk factors have also led to an earlier onset of type 2 diabetes among children and adolescents, negatively affecting the productive years of the youth and their quality of life. Furthermore, efforts to control the rising prevalence of diabetes and its complications have been challenged and complicated by the political instability and armed conflict in some countries of the region and the recent coronavirus disease 2019. Broad strategies, coupled with targeted interventions at the regional, national, and community levels are needed to address and curb the spread of this public health crisis.
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Affiliation(s)
- Imad M El-Kebbi
- Department of Internal Medicine, Division of Endocrinology, American University of Beirut Medical Center, Faculty of Medicine, Beirut 11072020, Lebanon
- Department of Internal Medicine, Sheikh Shakhbout Medical City, Abou Dhabi 11001, United Arab Emirates
| | - Nayda H Bidikian
- School of Medicine, American University of Beirut, Faculty of Medicine, Beirut 11072020, Lebanon
| | - Layal Hneiny
- University Libraries, Saab Medical Library, American University of Beirut, Beirut 11072020, Lebanon
| | - Mona Philippe Nasrallah
- Department of Internal Medicine, Division of Endocrinology, American University of Beirut Medical Center, Faculty of Medicine, Beirut 11072020, Lebanon
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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: 0] [Impact Index Per Article: 0] [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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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.
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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
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Mashal S, Khanfar M, Al-Khalayfa S, Srour L, Mustafa L, Hakooz NM, Zayed AA, Khader YS, Azab B. SLC30A8 gene polymorphism rs13266634 associated with increased risk for developing type 2 diabetes mellitus in Jordanian population. Gene 2020; 768:145279. [PMID: 33161057 DOI: 10.1016/j.gene.2020.145279] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/08/2020] [Accepted: 10/23/2020] [Indexed: 01/15/2023]
Abstract
BACKGROUND Several genome-wide association studies (GWAS) have identified the single nucleotide polymorphism (SNP) rs13266634 in the Solute carrier family 30 member 8 (SLC30A8) gene as a risk factor to type 2 diabetes mellitus (T2DM). Nevertheless, other studies reported controversial findings of no significant association between the rs13266634 with T2DM. In this study, we aimed to investigate the association of this SNP with T2DM among Jordanian population in addition to define its corresponding allelic and genotypic frequencies. METHOD This case-control study enrolled 358 T2DM patients and 326 healthy controls who fulfilled the inclusion criteria. Blood samples were collected from all participants and were used for the rs13266634 SNP genotyping by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. RESULTS We demonstrated a significant association between the C/T rs13266634 SNP and T2DM among Jordanian population. A significant difference was found between the cases and controls regarding the allelic (P = 0.003) distribution. Compared to people having T allele, those with C allele had higher risk of T2DM (OR = 1.47 ; 95% CI: 1.14 - 1.89; P = 0.003). Having a CC genotype versus TT genotype was significantly associated with increased risk to T2DM (OR = 2.44; 95% CI: 1.16 - 5.12; P = 0.019) after adjusting for age, gender, and BMI. Under the recessive model, subjects with CC genotype were more likely to have T2DM compared to those with CT or TT genotypes, (OR = 1.64; 95% CI: 1.18 - 2.26; P = 0.003) after adjusting for age, gender and BMI. CONCLUSION The rs13266634 SNP is significantly associated with T2DM susceptibility among Jordanian Population.
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Affiliation(s)
- Safaa Mashal
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Mariam Khanfar
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, P.O.Box 3030, Irbid 22110, Jordan
| | - Sawsan Al-Khalayfa
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Luma Srour
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Lina Mustafa
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Nancy M Hakooz
- Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Ayman A Zayed
- Division of Endocrinology, Diabetes, and Metabolism, Department of Internal Medicine, School of Medicine, The University of Jordan, Jordan University Hospital, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Yousef S Khader
- Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, P.O.Box 3030, Irbid 22110, Jordan
| | - Bilal Azab
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan; Department of Human and Molecular Genetics, School of Medicine, Virginia Commonwealth University, United States.
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Abstract
The Middle East and North Africa regions, including Lebanon, have recently witnessed rapid urbanization and modernization over the last couple of decades that has led to a dramatic transformation affecting lifestyle and diet. The World Health Organization reports that the leading cause of death in Lebanon is due to cardiovascular disease (CVD) at 47% of all-cause mortality. Over the last 30 years, especially the last 10, the population of Lebanon has changed dramatically due to the effect of wars in the region and refugees seeking asylum. With a population of around 4.5 million and a relatively high rate of consanguinity in Lebanon, a variety of novel mutations have been discovered explaining several familial causes of hypercholesterolemia, diabetes mellitus, congenital heart disease, and cardiomyopathies. Due to the Syrian civil war, 1.5 million Syrian refugees now reside in Lebanon in either low-income housing or tented settlements. A National Institutes of Health study is examining diabetes and CVD in Syrian refugees in comparison to native Lebanese. We provide the first review of CVD in Lebanon in its metabolic component including coronary artery disease and its risk factors, mainly hyperlipidemia and diabetes mellitus, and its structural component, including congenital heart disease, valvular heart disease, cardiomyopathies, and heart failure. The knowledge in this review has been compiled to guide clinicians and assist researchers in efforts to recognize risk factors for disease, improve delivery of health care, and prevent and treat CVDs in Lebanon, both for the native Lebanese and Syrian refugees.
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Hess R, Henthorn P, Devoto M, Wang F, Feng R. An Exploratory Association Analysis of the Insulin Gene Region With Diabetes Mellitus in Two Dog Breeds. J Hered 2020; 110:793-800. [PMID: 31587057 PMCID: PMC6916661 DOI: 10.1093/jhered/esz059] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 10/03/2019] [Indexed: 02/07/2023] Open
Abstract
Samoyeds and Australian Terriers are the 2 dog breeds at highest risk (>10-fold) for diabetes mellitus in the United States. It is unknown if the insulin (INS) gene is involved in the pathophysiology of diabetes in Samoyeds and Australian Terriers. It was hypothesized that the INS gene region provides a common genetic causality for diabetes in Samoyeds and Australian Terriers. We conducted a 2-stage genetic association study involving both breeds. In the discovery stage (Stage 1), Samoyeds with and without diabetes were compared in the frequencies of 447 tagging single-nucleotide polymorphisms (SNPs) within 2.5 megabases (Mb) up- and downstream of the INS gene on the Illumina CanineHD BeadChip. SNPs yielding a P-value < 0.005 were selected for further follow-up. In the validation stage (Stage 2), Australian Terriers with and without diabetes were compared in the SNPs genotyped by the Affymetrix GeneChip Canine Genome 2.0 Array and within 1 Mb up- and downstream of the selected SNPs from Stage 1. Two SNPs that were in high linkage disequilibrium (LD, r2 = 0.7) were selected from Stage 1. In Stage 2, among the 76 SNPs examined, 5 were significantly associated with diabetes after Bonferroni's correction for multiple comparisons. Three of these 5 SNPs were in complete LD (r2 = 1 for all associations) and the 2 remaining SNPs were in moderate LD (r2 = 0.4). In conclusion, an association between the INS gene region and diabetes was suggested in 2 dog breeds of different clades. This region could have importance in diabetes in other breeds or in canine diabetes at large.
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Affiliation(s)
- Rebecka Hess
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA
| | - Paula Henthorn
- Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA
| | - Marcella Devoto
- Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA.,Department of Translational and Precision Medicine, University of Rome Sapienza, Rome, Italy
| | - Fan Wang
- Department of Molecular Cardiology, Cleveland Clinic Lerner Research Institute, Cleveland, OH
| | - Rui Feng
- Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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Domínguez-Cruz MG, Muñoz MDL, Totomoch-Serra A, García-Escalante MG, Burgueño J, Valadez-González N, Pinto-Escalante D, Díaz-Badillo A. Maya gene variants related to the risk of type 2 diabetes in a family-based association study. Gene 2020; 730:144259. [PMID: 31759989 DOI: 10.1016/j.gene.2019.144259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 11/06/2019] [Accepted: 11/07/2019] [Indexed: 12/01/2022]
Abstract
Mexican Maya populations have a notably high prevalence of type 2 diabetes (T2D) as a consequence of the interaction between environmental factors and a genetic component. To assess the impact of 24 single nucleotide variants (SNVs) located in 18 T2D risk genes, we conducted a family-based association evaluation in samples from Maya communities with a high incidence of the disease. A total of four hundred individuals were recruited from three Maya communities with a high T2D incidence. Family pedigrees (100) and 49 nuclear families were included. Genotyping was performed by allelic discrimination with TaqMan probes. This study also included the family-based association test (FBAT) statistic U to assess the genetic associations with T2D, and the multivariate statistical and haplotype analyses. A positive association with TD2 risk was found for WFS1 rs6446482 (p = 0.046, Z = 1.994) under an additive model, and SIRT1 rs7896005 (p = 0.038, Z = 2.073) under the dominant model. Multivariate model analysis, including T2D status, age, and body mass index (BMI), displayed significant covariance in PPARGC-1α rs8192678; SIRT1 rs7896005; TCF7L2 rs7903146 and rs122243326; UCP3 rs3781907; and HHEX rs1111875 with a P < 0.05. This study revealed an association of SIRT1 and WFS1 with T2D risk.
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Affiliation(s)
- Miriam G Domínguez-Cruz
- Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico
| | - María de Lourdes Muñoz
- Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
| | - Armando Totomoch-Serra
- Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico; PhD Program in Medical Sciences, Universidad de La Frontera, Chile
| | - María G García-Escalante
- Laboratorios de Genética y Hematología, Centro de Investigaciones Regionales "Dr. Hideyo Noguchi", Universidad Autónoma de Yucatán, Mérida, Yucatán, Mexico
| | - Juan Burgueño
- Centro Internacional de Mejoramiento de Maíz y Trigo, El Batán, Texcoco, State of Mexico, Mexico
| | - Nina Valadez-González
- Laboratorios de Genética y Hematología, Centro de Investigaciones Regionales "Dr. Hideyo Noguchi", Universidad Autónoma de Yucatán, Mérida, Yucatán, Mexico
| | - Doris Pinto-Escalante
- Laboratorios de Genética y Hematología, Centro de Investigaciones Regionales "Dr. Hideyo Noguchi", Universidad Autónoma de Yucatán, Mérida, Yucatán, Mexico
| | - Alvaro Díaz-Badillo
- Maestría en Salud Publica, Universidad México Americana del Norte, Reynosa, Tamaulipas, Mexico; Department of Epidemiology, Human Genetics & Environmental Sciences, The University of Texas Health Science Center at Houston, Brownville, TX, USA
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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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Al Ali M, El hajj Chehadeh S, Osman W, Almansoori K, Abdulrahman M, Tay G, Alsafar H. Investigating the association of rs7903146 of TCF7L2 gene, rs5219 of KCNJ11 gene, rs10946398 of CDKAL1 gene, and rs9939609 of FTO gene with type 2 diabetes mellitus in Emirati population. Meta Gene 2019. [DOI: 10.1016/j.mgene.2019.100600] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Abuhendi N, Qush A, Naji F, Abunada H, Al Buainain R, Shi Z, Zayed H. Genetic polymorphisms associated with type 2 diabetes in the Arab world: A systematic review and meta-analysis. Diabetes Res Clin Pract 2019; 151:198-208. [PMID: 30954515 DOI: 10.1016/j.diabres.2019.03.037] [Citation(s) in RCA: 13] [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: 01/24/2019] [Accepted: 03/27/2019] [Indexed: 02/07/2023]
Abstract
AIMS T2DM reach epidemic levels in the Arab countries. In this study, we aimed to perform a systematic review and meta-analysis to underline the susceptibility genetic profile of Arab patients with T2DM that result from SNPs. METHODS We searched four literature databases (PubMed, Scopus, Science Direct and Web of Science) through January 2019. We included all SNPs in candidate genes with an OR > 1 that were associated with T2DM among Arab patients with T2DM. Statistical programs such as software Review Manager (Version 5.02) and STATA (Version 15.1) were used. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with a random effects model or a fixed effect model depending on the heterogeneity among studies. I2 statistics and Egger's tests were performed to assess heterogeneity and publication bias. RESULTS Out of 2245 studies, 47 were used for meta-analysis. We captured 31,307 cases and 26,464 controls in which we collected 71 SNPs in 32 genes. A pooled meta-analysis demonstrated 24-69% increase in T2DM risk. Among the 57 SNPs (in 32 genes) that were not included in the meta-analysis, the OR for diabetes ranged from 1.02 to 5.10, with a median of 1.38 (interquartile range 1.33-2.09). Ten studies examined the association between the TCF7L2 polymorphism rs7903146 and T2DM, leading to an aggregated OR of 1.34 (95%CI 1.27-1.41). CONCLUSION The genetic profile that confer susceptibility to T2DM in Arab patients is diverse. This study may serve as a platform for designing a gene panel for testing the susceptibility to T2DM.
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Affiliation(s)
- Najat Abuhendi
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Abeer Qush
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Fozieh Naji
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Hanan Abunada
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Reeham Al Buainain
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Zumin Shi
- Department of Nutrition, College of Health Sciences, Qatar University, Doha, Qatar
| | - Hatem Zayed
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar.
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Association of FTO Gene Variant (rs8050136) with Type 2 Diabetes and Markers of Obesity, Glycaemic Control and Inflammation. J Med Biochem 2019; 38:153-163. [PMID: 30867643 PMCID: PMC6410997 DOI: 10.2478/jomb-2018-0023] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 06/04/2018] [Indexed: 01/03/2023] Open
Abstract
Background FTO, a gene recently discovered in genomewide associated studies for type 2 diabetes mellitus (T2D), play an important role in the management of energy homeostasis, nucleic acid demethylation and regulation of body fat mass by lipolysis. The aim of this study was to analyze the association of FTO rs8050136 A>C genetic variant with clinical and biochemical parameters of T2D in the population of West Balkan region (Bosnians and Herzegovinians and Kosovars). Methods The study included 638 patients with T2D and prediabetes and 360 healthy controls of both genders, aged from 40 to 65 years. Patients were recruited at the Clinical Centre University of Sarajevo, University Hospital of Clinical Centre in Banja Luka, General Hospital in Tešanj and Health Centre in Prizren. Genotyping of analyzed FTO polymorphism rs8050136 A>C was performed by qPCR allelic discrimination. Results Genotype frequencies of the analyzed polymorphism were comparable between patients with T2D, prediabetic patients, and healthy population. Logistic regression analyses didn’t show significant association of FTO rs8050136 A allele with increased risk of T2D. However, risk A allele was significantly associated with higher levels of HbA1c, insulin, HOMA-IR index, diastolic blood pressure, and inflammatory markers (fibrinogen and leukocytes) as well as showed tendency of association with increased values of obesity markers (BMI, waist and hip circumference). Conclusions Results of our study showed a significant association of FTO genetic variant rs8050136 A>C with the major markers of insulin resistance, obesity and inflammation, opening new avenues for solving many unclear questions in the pathogenesis of T2D.
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Hebbar P, Abubaker JA, Abu-Farha M, Tuomilehto J, Al-Mulla F, Thanaraj TA. A Perception on Genome-Wide Genetic Analysis of Metabolic Traits in Arab Populations. Front Endocrinol (Lausanne) 2019; 10:8. [PMID: 30761081 PMCID: PMC6362414 DOI: 10.3389/fendo.2019.00008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 01/09/2019] [Indexed: 12/16/2022] Open
Abstract
Despite dedicated nation-wide efforts to raise awareness against the harmful effects of fast-food consumption and sedentary lifestyle, the Arab population continues to struggle with an increased risk for metabolic disorders. Unlike the European population, the Arab population lacks well-established genetic risk determinants for metabolic disorders, and the transferability of established risk loci to this population has not been satisfactorily demonstrated. The most recent findings have identified over 240 genetic risk loci (with ~400 independent association signals) for type 2 diabetes, but thus far only 25 risk loci (ADAMTS9, ALX4, BCL11A, CDKAL1, CDKN2A/B, COL8A1, DUSP9, FTO, GCK, GNPDA2, HMG20A, HNF1A, HNF1B, HNF4A, IGF2BP2, JAZF1, KCNJ11, KCNQ1, MC4R, PPARγ, SLC30A8, TCF7L2, TFAP2B, TP53INP1, and WFS1) have been replicated in Arab populations. To our knowledge, large-scale population- or family-based association studies are non-existent in this region. Recently, we conducted genome-wide association studies on Arab individuals from Kuwait to delineate the genetic determinants for quantitative traits associated with anthropometry, lipid profile, insulin resistance, and blood pressure levels. Although these studies led to the identification of novel recessive variants, they failed to reproduce the established loci. However, they provided insights into the genetic architecture of the population, the applicability of genetic models based on recessive mode of inheritance, the presence of genetic signatures of inbreeding due to the practice of consanguinity, and the pleiotropic effects of rare disorders on complex metabolic disorders. This perspective presents analysis strategies and study designs for identifying genetic risk variants associated with diabetes and related traits in Arab populations.
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Affiliation(s)
- Prashantha Hebbar
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
- Doctoral Program in Population Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jehad Ahmed Abubaker
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Mohamed Abu-Farha
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Jaakko Tuomilehto
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Fahd Al-Mulla
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
- *Correspondence: Fahd Al-Mulla
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O’Beirne SL, Salit J, Rodriguez-Flores JL, Staudt MR, Abi Khalil C, Fakhro KA, Robay A, Ramstetter MD, Malek JA, Zirie M, Jayyousi A, Badii R, Al-Nabet Al-Marri A, Bener A, Mahmoud M, Chiuchiolo MJ, Al-Shakaki A, Chidiac O, Stadler D, Mezey JG, Crystal RG. Exome sequencing-based identification of novel type 2 diabetes risk allele loci in the Qatari population. PLoS One 2018; 13:e0199837. [PMID: 30212457 PMCID: PMC6136697 DOI: 10.1371/journal.pone.0199837] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 06/14/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) susceptibility is influenced by genetic and lifestyle factors. To date, the majority of genetic studies of T2D have been in populations of European and Asian descent. The focus of this study is on genetic variations underlying T2D in Qataris, a population with one of the highest incidences of T2D worldwide. RESULTS Illumina HiSeq exome sequencing was performed on 864 Qatari subjects (574 T2D cases, 290 controls). Sequence kernel association test (SKAT) gene-based analysis identified an association for low frequency potentially deleterious variants in 6 genes. However, these findings were not replicated by SKAT analysis in an independent cohort of 12,699 exomes, primarly due to the absence of low frequency potentially deleterious variants in 5 of the 6 genes. Interestingly one of the genes identified, catenin beta 1 (CTNNB1, β-catenin), is the key effector of the Wnt pathway and interacts with the nuclear receptor transcription factor 7-like 2 (TCF7L2), variants which are the most strongly associated with risk of developing T2D worldwide. Single variant analysis did not identify any associated variants, suggesting the SKAT association signal was not driven by individual variants. None of the 6 associated genes were among 634 previously described T2D genes. CONCLUSIONS The observation that genes not previously linked to T2D in prior studies of European and Asian populations are associated with T2D in Qatar provides new insights into the complexity of T2D pathogenesis and emphasizes the importance of understudied populations when assessing genetic variation in the pathogenesis of common disorders.
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Affiliation(s)
- Sarah L. O’Beirne
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York, United States of America
| | - Jacqueline Salit
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
| | - Juan L. Rodriguez-Flores
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
| | - Michelle R. Staudt
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
| | - Charbel Abi Khalil
- Department of Genetic Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Khalid A. Fakhro
- Department of Genetic Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
- Division of Translational Medicine, Sidra Medical Research Centre, Doha, Qatar
| | - Amal Robay
- Department of Genetic Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Monica D. Ramstetter
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
- Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, United States of America
| | - Joel A. Malek
- Department of Genetic Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Mahmoud Zirie
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Amin Jayyousi
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Ramin Badii
- Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar
| | | | - Abdulbari Bener
- Department of Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Mai Mahmoud
- Department of Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Maria J. Chiuchiolo
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
| | - Alya Al-Shakaki
- Department of Genetic Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Omar Chidiac
- Department of Genetic Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Dora Stadler
- Department of Medicine, Weill Cornell Medical College-Qatar, Doha, Qatar
| | - Jason G. Mezey
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
- Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, United States of America
| | - Ronald G. Crystal
- Department of Genetic Medicine, Weill Cornell Medical College, New York, New York, United States of America
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York, United States of America
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20
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Wang XF, Lin X, Li DY, Zhou R, Greenbaum J, Chen YC, Zeng CP, Peng LP, Wu KH, Ao ZX, Lu JM, Guo YF, Shen J, Deng HW. Linking Alzheimer's disease and type 2 diabetes: Novel shared susceptibility genes detected by cFDR approach. J Neurol Sci 2017; 380:262-272. [PMID: 28870582 DOI: 10.1016/j.jns.2017.07.044] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 06/29/2017] [Accepted: 07/28/2017] [Indexed: 02/08/2023]
Abstract
BACKGROUND Both type 2 diabetes (T2D) and Alzheimer's disease (AD) occur commonly in the aging populations and T2D has been considered as an important risk factor for AD. The heritability of both diseases is estimated to be over 50%. However, common pleiotropic single-nucleotide polymorphisms (SNPs)/loci have not been well-defined. The aim of this study is to analyze two large public accessible GWAS datasets to identify novel common genetic loci for T2D and/or AD. METHODS AND MATERIALS The recently developed novel conditional false discovery rate (cFDR) approach was used to analyze the summary GWAS datasets from International Genomics of Alzheimer's Project (IGAP) and Diabetes Genetics Replication And Meta-analysis (DIAGRAM) to identify novel susceptibility genes for AD and T2D. RESULTS We identified 78 SNPs (including 58 novel SNPs) that were associated with AD in Europeans conditional on T2D (cFDR<0.05). 66 T2D SNPs (including 40 novel SNPs) were identified by conditioning on SNPs association with AD (cFDR<0.05). A conjunction-cFDR (ccFDR) analysis detected 8 pleiotropic SNPs with a significance threshold of ccFDR<0.05 for both AD and T2D, of which 5 SNPs (rs6982393, rs4734295, rs7812465, rs10510109, rs2421016) were novel findings. Furthermore, among the 8 SNPs annotated at 6 different genes, 3 corresponding genes TP53INP1, TOMM40 and C8orf38 were related to mitochondrial dysfunction, critically involved in oxidative stress, which potentially contribute to the etiology of both AD and T2D. CONCLUSION Our study provided evidence for shared genetic loci between T2D and AD in European subjects by using cFDR and ccFDR analyses. These results may provide novel insight into the etiology and potential therapeutic targets of T2D and/or AD.
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Affiliation(s)
- Xia-Fang Wang
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Xu Lin
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Ding-You Li
- Department of Gastroenterology, Children's Mercy Kansas City, University of Missouri Kansas City School of Medicine, Kansas City MO 64108, USA
| | - Rou Zhou
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Jonathan Greenbaum
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Yuan-Cheng Chen
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Chun-Ping Zeng
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Lin-Ping Peng
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Ke-Hao Wu
- Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Zeng-Xin Ao
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Jun-Min Lu
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Yan-Fang Guo
- Institute of Bioinformatics, School of Basic Medical Science, Southern Medical University, Guangzhou, Guangdong 510515, PR China
| | - Jie Shen
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China
| | - Hong-Wen Deng
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, PR China; Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
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Yang Y, Liu B, Xia W, Yan J, Liu HY, Hu L, Liu SM. FTO Genotype and Type 2 Diabetes Mellitus: Spatial Analysis and Meta-Analysis of 62 Case-Control Studies from Different Regions. Genes (Basel) 2017; 8:E70. [PMID: 28208657 PMCID: PMC5333059 DOI: 10.3390/genes8020070] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 02/06/2017] [Accepted: 02/07/2017] [Indexed: 02/08/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a global health problem that results from the interaction of environmental factors with genetic variants. Although a number of studies have suggested that genetic polymorphisms in the fat mass and obesity-associated (FTO) gene are associated with T2DM risk, the results have been inconsistent. To investigate whether FTO polymorphisms associate with T2DM risk and whether this association is region-related, we performed this spatial analysis and meta-analysis. More than 60,000 T2DM patients and 90,000 controls from 62 case-control studies were included in this study. Odds ratios (ORs), 95% confidence intervals (CIs) and Moran's I statistic were used to estimate the association between FTO rs9939609, rs8050136, rs1421085, and rs17817499, and T2DM risk in different regions. rs9939609 (OR = 1.15, 95% CI 1.11-1.19) and rs8050136 (OR = 1.14, 95% CI 1.10-1.18) conferred a predisposition to T2DM. After adjustment for body mass index (BMI), the association remained statistically significant for rs9939609 (OR = 1.11, 95% CI 1.05-1.17) and rs8050136 (OR = 1.08, 95% CI 1.03-1.12). In the subgroup analysis of rs9939609 and rs8050136, similar results were observed in East Asia, while no association was found in North America. In South Asia, an association for rs9939609 was revealed but not for rs8050136. In addition, no relationship was found with rs1421085 or rs17817499 regardless of adjustment for BMI. Moran's I statistic showed that significant positive spatial autocorrelations existed in rs9939609 and rs8050136. Studies on rs9939609 and rs8050136 focused on East Asia and South Asia, whereas studies on rs1421085 and rs17817499 were distributed in North America and North Africa. Our data suggest that the associations between FTO rs9939609, rs8050136 and T2DM are region-related, and the two single-nucleotide polymorphisms contribute to an increased risk of T2DM. Future studies should investigate this issue in more regions.
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Affiliation(s)
- Ying Yang
- Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Donghu Road 169#, Wuhan 430071, China.
| | - Boyang Liu
- Department of Geography, Wilkeson Hall, State University of New York at Buffalo, Buffalo, NY 14261, USA.
| | - Wei Xia
- Department of Clinical Laboratory, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430016, China.
| | - Jing Yan
- Hubei Meteorological Information and Technology Support Center, Wuhan 430074, China.
| | - Huan-Yu Liu
- Department of Clinical Medicine, Hubei University of Medicine, Hubei 442000, China.
| | - Ling Hu
- Department of Neurology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430016, China.
| | - Song-Mei Liu
- Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Donghu Road 169#, Wuhan 430071, China.
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Type 2 Diabetes Susceptibility in the Greek-Cypriot Population: Replication of Associations with TCF7L2, FTO, HHEX, SLC30A8 and IGF2BP2 Polymorphisms. Genes (Basel) 2017; 8:genes8010016. [PMID: 28067832 PMCID: PMC5295011 DOI: 10.3390/genes8010016] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 12/13/2016] [Accepted: 12/30/2016] [Indexed: 01/17/2023] Open
Abstract
Type 2 diabetes (T2D) has been the subject of numerous genetic studies in recent years which revealed associations of the disease with a large number of susceptibility loci. We hereby initiate the evaluation of T2D susceptibility loci in the Greek-Cypriot population by performing a replication case-control study. One thousand and eighteen individuals (528 T2D patients, 490 controls) were genotyped at 21 T2D susceptibility loci, using the allelic discrimination method. Statistically significant associations of T2D with five of the tested single nucleotide polymorphisms (SNPs) (TCF7L2 rs7901695, FTO rs8050136, HHEX rs5015480, SLC30A8 rs13266634 and IGF2BP2 rs4402960) were observed in this study population. Furthermore, 14 of the tested SNPs had odds ratios (ORs) in the same direction as the previously published studies, suggesting that these variants can potentially be used in the Greek-Cypriot population for predictive testing of T2D. In conclusion, our findings expand the genetic assessment of T2D susceptibility loci and reconfirm five of the worldwide established loci in a distinct, relatively small, newly investigated population.
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Rao P, Zhou Y, Ge SQ, Wang AX, Yu XW, Alzain MA, Veronica AK, Qiu J, Song MS, Zhang J, Wang H, Fang HH, Gao Q, Wang YX, Wang W. Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Northern Han Chinese. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13090863. [PMID: 27589775 PMCID: PMC5036696 DOI: 10.3390/ijerph13090863] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 08/05/2016] [Accepted: 08/23/2016] [Indexed: 01/07/2023]
Abstract
Background: More than 60 genetic susceptibility loci associated with type 2 diabetes mellitus (T2DM) have been established in populations of Asian and European ancestry. Given ethnic differences and environmental factors, validation of the effects of genetic risk variants with reported associations identified by Genome-Wide Association Studies (GWASs) is essential. The study aims at evaluating the associations of T2DM with 29 single nucleotide polymorphisms (SNPs) from 19 candidate genes derived from GWASs in a northern Han Chinese population. Method: In this case-control study, 461 T2DM-diagnosed patients and 434 controls were recruited at the Jidong oil field hospital (Hebei, China) from January 2009 to October 2013. A cumulative genetic risk score (cGRS) was calculated by summation of the number of risk alleles, and a weight GRS (wGRS) was calculated as the sum of risk alleles at each locus multiplied by their effect sizes for T2DM, using the independent variants selected. Result: The allelic frequency of the “A” allele at rs17106184 (Fas-associated factor 1, FAF1) was significantly higher in the T2DM patients than that of the healthy controls (11.7% vs. 6.4%, p < 0.001). Individuals in the highestquartile of wGRS had an over three-fold increased risk for developing T2DM compared with those in the lowest quartile (odds ratio = 3.06, 95% CI = 1.92–4.88, p < 0.001) adjusted for age, sex, BMI, total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), systolic blood pressure (SBP) and diastolic blood pressure (DBP). The results were similar when analyzed with the cGRS. Conclusions: We confirmed the association between rs17106184 (FAF1) and T2DM in a northern Han Chinese population. The GRS calculated based on T2DM susceptibility variants may be a useful tool for predicting the T2DM susceptibility.
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Affiliation(s)
- Ping Rao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China.
| | - Yong Zhou
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
| | - Si-Qi Ge
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| | - An-Xin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
| | - Xin-Wei Yu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| | - Mohamed Ali Alzain
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Andrea Katherine Veronica
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jing Qiu
- School of Public Health, Ningxia Medical University, Yinchuan 750021, China.
| | - Man-Shu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Hong-Hong Fang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Qing Gao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - You-Xin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia.
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Fan M, Li W, Wang L, Gu S, Dong S, Chen M, Yin H, Zheng J, Wu X, Jin J, Jiang X, Cai J, Liu P, Zheng C. Association of SLC30A8 gene polymorphism with type 2 diabetes, evidence from 46 studies: a meta-analysis. Endocrine 2016; 53:381-94. [PMID: 26832344 DOI: 10.1007/s12020-016-0870-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 01/13/2016] [Indexed: 11/30/2022]
Abstract
The solute carrier family 30 member 8 (SLC30A8) gene may be involved in the development of type 2 diabetes mellitus (T2DM) through disrupting β-cell function. The aim of this study was to assess the association between SLC30A8 rs13266634 polymorphism and susceptibility to T2DM. We searched all reports regarding the association between SLC30A8 rs13266634 polymorphism and T2DM risk through Pubmed, Embase, and the Cochrane Library for English language reports and Chongqing VIP database, Wanfang data, CBMDisc, and CNKI for Chinese language studies. Allelic and genotype comparisons between cases and controls were evaluated, and odds ratios with 95 % confidence intervals were used to assess the strength of their association. A random effects model was selected. Publication bias was estimated using Begg's test. Forty-six studies were included in the analysis with a total of 71,890 cases and 96,753 controls. This meta-analysis suggests that SLC30A8 (rs13266634) polymorphism was associated with T2DM risk. Although previous meta-analyses have shown that this association was only found in Asian and European groups, and not in African populations, our analysis revealed the deleterious effect of SLC30A8 rs13266634 on T2DM in an African population when stratified by ethnicity under additive model even with a small number of studies.
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Affiliation(s)
- Mengdi Fan
- Department of Pathology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Weimin Li
- Department of Ultrasonography, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Lian Wang
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Suping Gu
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Sisi Dong
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Mengdie Chen
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Haimin Yin
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Jinjue Zheng
- Department of Ultrasonography, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xiaoying Wu
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Jian Jin
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xuchao Jiang
- Department of Pathophysiology, Obesity and Diabetes Center, Second Military Medical University, Shanghai, 200433, China
| | - Jiao Cai
- Department of Pathophysiology, Obesity and Diabetes Center, Second Military Medical University, Shanghai, 200433, China
| | - Peining Liu
- Department of Child Health, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
| | - Chao Zheng
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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Type 2 Diabetes Risk Allele Loci in the Qatari Population. PLoS One 2016; 11:e0156834. [PMID: 27383215 PMCID: PMC4934876 DOI: 10.1371/journal.pone.0156834] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 05/22/2016] [Indexed: 12/22/2022] Open
Abstract
Background The prevalence of type 2 diabetes (T2D) is increasing in the Middle East. However, the genetic risk factors for T2D in the Middle Eastern populations are not known, as the majority of studies of genetic risk for T2D are in Europeans and Asians. Methods All subjects were ≥3 generation Qataris. Cases with T2D (n = 1,124) and controls (n = 590) were randomly recruited and assigned to the 3 known Qatari genetic subpopulations [Bedouin (Q1), Persian/South Asian (Q2) and African (Q3)]. Subjects underwent genotyping for 37 single nucleotide polymorphisms (SNPs) in 29 genes known to be associated with T2D in Europeans and/or Asian populations, and an additional 27 tag SNPs related to these susceptibility loci. Pre-study power analysis suggested that with the known incidence of T2D in adult Qataris (22%), the study population size would be sufficient to detect significant differences if the SNPs were risk factors among Qataris, assuming that the odds ratio (OR) for T2D SNPs in Qatari’s is greater than or equal to the SNP with highest known OR in other populations. Results Haplotype analysis demonstrated that Qatari haplotypes in the region of known T2D risk alleles in Q1 and Q2 genetic subpopulations were similar to European haplotypes. After Benjamini-Hochberg adjustment for multiple testing, only two SNPs (rs7903146 and rs4506565), both associated with transcription factor 7-like 2 (TCF7L2), achieved statistical significance in the whole study population. When T2D subjects and control subjects were assigned to the known 3 Qatari subpopulations, and analyzed individually and with the Q1 and Q2 genetic subpopulations combined, one of these SNPs (rs4506565) was also significant in the admixed group. No other SNPs associated with T2D in all Qataris or individual genetic subpopulations. Conclusions With the caveats of the power analysis, the European/Asian T2D SNPs do not contribute significantly to the high prevalence of T2D in the Qatari population, suggesting that the genetic risks for T2D are likely different in Qataris compared to Europeans and Asians.
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Letronne F, Laumet G, Ayral AM, Chapuis J, Demiautte F, Laga M, Vandenberghe ME, Malmanche N, Leroux F, Eysert F, Sottejeau Y, Chami L, Flaig A, Bauer C, Dourlen P, Lesaffre M, Delay C, Huot L, Dumont J, Werkmeister E, Lafont F, Mendes T, Hansmannel F, Dermaut B, Deprez B, Hérard AS, Dhenain M, Souedet N, Pasquier F, Tulasne D, Berr C, Hauw JJ, Lemoine Y, Amouyel P, Mann D, Déprez R, Checler F, Hot D, Delzescaux T, Gevaert K, Lambert JC. ADAM30 Downregulates APP-Linked Defects Through Cathepsin D Activation in Alzheimer's Disease. EBioMedicine 2016; 9:278-292. [PMID: 27333034 PMCID: PMC4972530 DOI: 10.1016/j.ebiom.2016.06.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 05/31/2016] [Accepted: 06/01/2016] [Indexed: 01/12/2023] Open
Abstract
Although several ADAMs (A disintegrin-like and metalloproteases) have been shown to contribute to the amyloid precursor protein (APP) metabolism, the full spectrum of metalloproteases involved in this metabolism remains to be established. Transcriptomic analyses centred on metalloprotease genes unraveled a 50% decrease in ADAM30 expression that inversely correlates with amyloid load in Alzheimer's disease brains. Accordingly, in vitro down- or up-regulation of ADAM30 expression triggered an increase/decrease in Aβ peptides levels whereas expression of a biologically inactive ADAM30 (ADAM30(mut)) did not affect Aβ secretion. Proteomics/cell-based experiments showed that ADAM30-dependent regulation of APP metabolism required both cathepsin D (CTSD) activation and APP sorting to lysosomes. Accordingly, in Alzheimer-like transgenic mice, neuronal ADAM30 over-expression lowered Aβ42 secretion in neuron primary cultures, soluble Aβ42 and amyloid plaque load levels in the brain and concomitantly enhanced CTSD activity and finally rescued long term potentiation alterations. Our data thus indicate that lowering ADAM30 expression may favor Aβ production, thereby contributing to Alzheimer's disease development.
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Affiliation(s)
- Florent Letronne
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Geoffroy Laumet
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Anne-Marie Ayral
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Julien Chapuis
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Florie Demiautte
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Mathias Laga
- Department of Medical Protein Research, VIB, Ghent, Belgium; Department of Biochemistry, Ghent University, Ghent, Belgium
| | - Michel E Vandenberghe
- CEA, DSV, I2BM, MIRCen, Fontenay aux Roses, France; CNRS, UMR 9199, Fontenay aux Roses, France
| | - Nicolas Malmanche
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Florence Leroux
- Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; INSERM U1177, Drugs and Molecules for Living Systems, F5900 Lille, France
| | - Fanny Eysert
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Yoann Sottejeau
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Linda Chami
- Institut de Pharmacologie Moléculaire et Cellulaire, UMR 7275 CNRS, Laboratoire d'Excellence Distalz, Nice, France; Université de Nice-Sophia-Antipolis, Valbonne, France
| | - Amandine Flaig
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Charlotte Bauer
- Institut de Pharmacologie Moléculaire et Cellulaire, UMR 7275 CNRS, Laboratoire d'Excellence Distalz, Nice, France; Université de Nice-Sophia-Antipolis, Valbonne, France
| | - Pierre Dourlen
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Marie Lesaffre
- Univ. Lille, CNRS, Institut Pasteur de Lille, UMR 8161 - M3T - Mechanisms of Tumorigenesis and Targeted Therapies, F-59000 Lille, France
| | - Charlotte Delay
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Ludovic Huot
- Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; Center for Infection and Immunity of Lille, CNRS UMR 8204, INSERM 1019, Lille, France
| | - Julie Dumont
- Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; INSERM U1177, Drugs and Molecules for Living Systems, F5900 Lille, France
| | | | | | - Tiago Mendes
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Franck Hansmannel
- INSERM, U954, Vandoeuvre-lès-Nancy, France; Department of Hepato-Gastroenterology, University Hospital of Nancy, Université Henri Poincaré 1, Vandoeuvre-lès-Nancy, France
| | - Bart Dermaut
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France
| | - Benoit Deprez
- Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; INSERM U1177, Drugs and Molecules for Living Systems, F5900 Lille, France
| | - Anne-Sophie Hérard
- CEA, DSV, I2BM, MIRCen, Fontenay aux Roses, France; CNRS, UMR 9199, Fontenay aux Roses, France
| | - Marc Dhenain
- CEA, DSV, I2BM, MIRCen, Fontenay aux Roses, France; CNRS, UMR 9199, Fontenay aux Roses, France
| | - Nicolas Souedet
- CEA, DSV, I2BM, MIRCen, Fontenay aux Roses, France; CNRS, UMR 9199, Fontenay aux Roses, France
| | - Florence Pasquier
- Univ. Lille, Inserm, U1171, - Degenerative & Vascular Cognitive Disorders, Laboratoire d'Excellence Distalz, F-59000 Lille, France; CHR&U, Lille, France
| | - David Tulasne
- Univ. Lille, CNRS, Institut Pasteur de Lille, UMR 8161 - M3T - Mechanisms of Tumorigenesis and Targeted Therapies, F-59000 Lille, France
| | - Claudine Berr
- INSERM, U1061, Université de Montpellier I, Hôpital La Colombière, Montpellier, France
| | - Jean-Jacques Hauw
- APHP-Raymond Escourolle Neuropathology Laboratory, la salpétrière Hospital, Paris, France
| | - Yves Lemoine
- Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; Center for Infection and Immunity of Lille, CNRS UMR 8204, INSERM 1019, Lille, France
| | - Philippe Amouyel
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; CHR&U, Lille, France
| | - David Mann
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Salford Royal Hospital, Salford, UK
| | - Rebecca Déprez
- Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; INSERM U1177, Drugs and Molecules for Living Systems, F5900 Lille, France
| | - Frédéric Checler
- Institut de Pharmacologie Moléculaire et Cellulaire, UMR 7275 CNRS, Laboratoire d'Excellence Distalz, Nice, France; Université de Nice-Sophia-Antipolis, Valbonne, France
| | - David Hot
- Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France; Center for Infection and Immunity of Lille, CNRS UMR 8204, INSERM 1019, Lille, France
| | - Thierry Delzescaux
- CEA, DSV, I2BM, MIRCen, Fontenay aux Roses, France; CNRS, UMR 9199, Fontenay aux Roses, France
| | - Kris Gevaert
- Department of Medical Protein Research, VIB, Ghent, Belgium; Department of Biochemistry, Ghent University, Ghent, Belgium
| | - Jean-Charles Lambert
- INSERM, U1167, Laboratoire d'Excellence Distalz, F59000 Lille, France; Institut Pasteur de Lille, F59000 Lille, France; Univ. Lille, F59000 Lille, France.
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Casarini L, Simoni M, Brigante G. Is polycystic ovary syndrome a sexual conflict? A review. Reprod Biomed Online 2016; 32:350-61. [DOI: 10.1016/j.rbmo.2016.01.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Revised: 01/20/2016] [Accepted: 01/21/2016] [Indexed: 12/23/2022]
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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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Qian Y, Dong M, Lu F, Li H, Jin G, Hu Z, Shen C, Shen H. Joint effect of CENTD2 and KCNQ1 polymorphisms on the risk of type 2 diabetes mellitus among Chinese Han population. Mol Cell Endocrinol 2015; 407:46-51. [PMID: 25749274 DOI: 10.1016/j.mce.2015.02.026] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Revised: 02/25/2015] [Accepted: 02/26/2015] [Indexed: 11/18/2022]
Abstract
Genome-wide association studies (GWAS) in populations of European ancestry have identified nine single nuclear polymorphisms (SNP) on chromosome 11 related to type 2 diabetes (T2D) susceptibility. Herein, we further evaluate the association of these SNPs and T2D in a Chinese Han population. We performed a case-control study of 2925 T2D cases and 3281 controls to evaluate the association of five SNPs of KCNJ11, MTNR1B, CENTD2 and LOC387761 and T2D in addition to the previously reported four SNPs of KCNQ1. Multiple logistic regression was used to evaluate SNP's effect by adjustment for confounding factor age, sex and BMI. In the first stage, SNPs rs1552224 at CENTD2 were significantly associated with T2D and the association was statistically significant in the whole study population (P = 0.001) although it was not replicated in the second stage. rs1552224 and rs2237897 of KCNQ1 showed significant joint effect on T2D and there was a significant decreased risk of T2D with the number increase of risk alleles (P for trend = 3.81 × 10(-17)). Compared to those without carrying any risk allele, individuals carrying one, two, and three or four risk alleles had a 30.7%, 44.8% and 62.0% decreased risk for developing T2D, respectively. Our finding suggests that genetic variant rs1552224 of CENTD2 on chromosome 11 contributes to an independent effect as well as joint cumulative effect with rs2237897 of KCNQ1 on the risk of T2D in Chinese Han population, and further functional research would be warranted.
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Affiliation(s)
- Yun Qian
- Department of Chronic Non-communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi 214023, China
| | - Meihua Dong
- Department of Chronic Non-communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi 214023, China
| | - Feng Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Huizhang Li
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Nikitin AG, Potapov VA, Brovkin AN, Lavrikova EY, Khodyrev DS, Shamhalova MS, Smetanina SA, Suplotova LN, Shestakova MV, Nosikov VV, Averyanov AV. Association of FTO, KCNJ11, SLC30A8, and CDKN2B polymorphisms with type 2 diabetes mellitus. Mol Biol 2015. [DOI: 10.1134/s0026893315010112] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Ghassibe-Sabbagh M, Haber M, Salloum AK, Al-Sarraj Y, Akle Y, Hirbli K, Romanos J, Mouzaya F, Gauguier D, Platt DE, El-Shanti H, Zalloua PA. T2DM GWAS in the Lebanese population confirms the role of TCF7L2 and CDKAL1 in disease susceptibility. Sci Rep 2014; 4:7351. [PMID: 25483131 PMCID: PMC5376673 DOI: 10.1038/srep07351] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Accepted: 11/14/2014] [Indexed: 12/30/2022] Open
Abstract
Genome-wide association studies (GWAS) of multiple populations with distinctive genetic and lifestyle backgrounds are crucial to the understanding of Type 2 Diabetes Mellitus (T2DM) pathophysiology. We report a GWAS on the genetic basis of T2DM in a 3,286 Lebanese participants. More than 5,000,000 SNPs were directly genotyped or imputed using the 1000 Genomes Project reference panels. We identify genome-wide significant variants in two loci CDKAL1 and TCF7L2, independent of sex, age and BMI, with leading variants rs7766070 (OR = 1.39, P = 4.77 × 10(-9)) and rs34872471 (OR = 1.35, P = 1.01 × 10(-8)) respectively. The current study is the first GWAS to find genomic regions implicated in T2DM in the Lebanese population. The results support a central role of CDKAL1 and TCF7L2 in T2DM susceptibility in Southwest Asian populations and provide a plausible component for understanding molecular mechanisms involved in the disease.
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Affiliation(s)
| | - Marc Haber
- Lebanese American University, School of Medicine, Beirut 1102 2801, Lebanon
| | | | | | - Yasmine Akle
- Centre Hospitalier du Nord-CHN, Zgharta, Lebanon
| | - Kamal Hirbli
- 1] Lebanese American University, School of Medicine, Beirut 1102 2801, Lebanon [2] University Medical Center - Rizk Hospital (UMC-RH), Lebanon
| | - Jihane Romanos
- Lebanese American University, School of Medicine, Beirut 1102 2801, Lebanon
| | - Francis Mouzaya
- Lebanese American University, School of Medicine, Beirut 1102 2801, Lebanon
| | | | - Daniel E Platt
- Bioinformatics and Pattern Discovery, IBM T. J. Watson Research Centre, Yorktown Hgts, NY 10598, USA
| | - Hatem El-Shanti
- 1] Shafallah Medical Genetics Center, Doha, Qatar [2] University of Iowa Carver College of Medicine, Iowa City
| | - Pierre A Zalloua
- 1] Lebanese American University, School of Medicine, Beirut 1102 2801, Lebanon [2] Harvard School of Public Health, Boston MA 02215, USA
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