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Liu J, Wang L, Cui X, Shen Q, Wu D, Yang M, Dong Y, Liu Y, Chen H, Yang Z, Liu Y, Zhu M, Ma H, Jin G, Qian Y. Polygenic Risk Score, Lifestyles, and Type 2 Diabetes Risk: A Prospective Chinese Cohort Study. Nutrients 2023; 15:2144. [PMID: 37432247 DOI: 10.3390/nu15092144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 04/28/2023] [Accepted: 04/28/2023] [Indexed: 07/12/2023] Open
Abstract
The aim of this study was to generate a polygenic risk score (PRS) for type 2 diabetes (T2D) and test whether it could be used in identifying high-risk individuals for lifestyle intervention in a Chinese cohort. We genotyped 80 genetic variants among 5024 participants without non-communicable diseases at baseline in the Wuxi Non-Communicable Diseases cohort (Wuxi NCDs cohort). During the follow-up period of 14 years, 440 cases of T2D were newly diagnosed. Using Cox regression, we found that the PRS of 46 SNPs identified by the East Asians was relevant to the future T2D. Participants with a high PRS (top quintile) had a two-fold higher risk of T2D than the bottom quintile (hazard ratio: 2.06, 95% confidence interval: 1.42-2.97). Lifestyle factors were considered, including cigarette smoking, alcohol consumption, physical exercise, diet, body mass index (BMI), and waist circumference (WC). Among high-PRS individuals, the 10-year incidence of T2D slumped from 6.77% to 3.28% for participants having ideal lifestyles (4-6 healthy lifestyle factors) compared with poor lifestyles (0-2 healthy lifestyle factors). When integrating the high PRS, the 10-year T2D risk of low-clinical-risk individuals exceeded that of high-clinical-risk individuals with a low PRS (3.34% vs. 2.91%). These findings suggest that the PRS of 46 SNPs could be used in identifying high-risk individuals and improve the risk stratification defined by traditional clinical risk factors for T2D. Healthy lifestyles can reduce the risk of a high PRS, which indicates the potential utility in early screening and precise prevention.
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Affiliation(s)
- Jia Liu
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Lu Wang
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Xuan Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Qian Shen
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Dun Wu
- College of Arts and Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Man Yang
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Yunqiu Dong
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Yongchao Liu
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Hai Chen
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Zhijie Yang
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Yaqi Liu
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
| | - Meng Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Hongxia Ma
- 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
| | - Yun Qian
- Department of Chronic Non-Communicable Disease Control, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University (Wuxi Center for Disease Control and Prevention), Wuxi 214023, China
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Huang C, Guo Y, Li W, Xiang B, Zeng J, Zhou F, She L, Zhang P, Wang S, Liu B, Dai Q, Yang M. Association of the CDKAL1 gene polymorphism with gestational diabetes mellitus in Chinese women. BMJ Open Diabetes Res Care 2023; 11:11/2/e003164. [PMID: 37055162 PMCID: PMC10106001 DOI: 10.1136/bmjdrc-2022-003164] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 03/21/2023] [Indexed: 04/15/2023] Open
Abstract
INTRODUCTION To identify the association of the cyclin-dependent kinase 5 regulatory subunit associated protein 1-like 1 (CDKAL1) gene polymorphism with gestational diabetes mellitus (GDM) in the Chinese population. RESEARCH DESIGN AND METHODS This case-control study enrolled 835 pregnant women with GDM and 870 pregnant women without diabetes who underwent antenatal examination during 24 to 28 gestational weeks at the Maternal and Child Health Hospital of Hubei Province from January 15, 2018 to March 31, 2019. Trained nurses collected their clinical information and blood samples. CDKAL1 gene rs10440833, rs10946398, rs4712523, rs4712524, rs7754840, rs7756992 and rs9465871 loci were genotyped by Agena MassARRAY system. SPSS V.26.0 software and online SHesis were used to analyze the relationship between CDKAL1 gene polymorphism and GDM susceptibility. RESULTS After being adjusted for maternal age, prepregnancy body mass index (BMI), parity and family history of type 2 diabetes mellitus (T2DM), CDKAL1 gene rs10440833 (AA vs TT, OR=1.631, 95% CI 1.192 to 2.232), rs10946398 (CC vs AA, OR=1.400, 95% CI 1.028 to 1.905), rs4712523 (GG vs AA, OR=1.409, 95% CI 1.038 to 1.913), rs4712524 (GG vs AA, OR=1.418, 95% CI 1.043 to 1.929) and rs7754840 (CC vs GG, OR=1.407, 95% CI 1.036 to 1.911) polymorphisms were all associated with the increased risk of GDM. In addition, there was a powerful linkage disequilibrium (LD) among rs10946398, rs4712523, rs4712524 and rs7754840 (D'>0.900, r2>0.900). And there were significant differences in haplotype CGGC (OR=1.207, 95% CI 1.050 to 1.387) and AAAG (OR=0.829, 95% CI 0.721 o 0.952, p=0.008) between the GDM group and the control group. CONCLUSIONS rs10440833, rs10946398, rs4712523, rs4712524 and rs7754840 of CDKAL1 gene are associated with GDM susceptibility in central Chinese population.
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Affiliation(s)
- Chengjing Huang
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
| | - Yan Guo
- School health center, Wuhan Centers for Disease Prevention and Control, Wuhan, Hubei, China
| | - Wei Li
- Department of Pharmacy, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China
| | - Bing Xiang
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
| | - Jing Zeng
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
| | - Feng Zhou
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
| | - Lu She
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
| | - Pei Zhang
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
| | - Shiwei Wang
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
| | - Bei Liu
- Department of Popular Science, Jinan Health Publicity and Education Center, Jinan, China
| | - Qiong Dai
- Department of Popular Science, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China
| | - Mei Yang
- Research Center for Health Promotion in Women, Youth and Children, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, Hubei, china
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Wu TW, Chou CL, Cheng CF, Lu SX, Wu YJ, Wang LY. Associations of genetic markers of diabetes mellitus with carotid atherosclerosis: a community-based case-control study. Cardiovasc Diabetol 2023; 22:51. [PMID: 36894991 PMCID: PMC9999522 DOI: 10.1186/s12933-023-01787-7] [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: 01/06/2023] [Accepted: 03/01/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Diabetes mellitus (DM) is a well-established determinant of atherosclerosis and cardiovascular diseases (CVD). Recently, genome-wide association studies (GWAS) identified several single nucleotide polymorphism (SNP) significantly correlated with DM. The study aimed to explore the relationships of the top significant DM SNPs with carotid atherosclerosis (CA). METHODS We used a case-control design and randomly selected 309 cases and 439 controls with and without, respectively, carotid plaque (CP) from a community-based cohort. Eight recent GWAS on DM in East Asians reported hundreds of SNPs with genome-wide significance. The study used the top significant DM SNPs, with a p-value < 10-16, as the candidate genetic markers of CA. The independent effects of these DM SNPs on CA were assessed by multivariable logistic regression analyses to control the effects of conventional cardio-metabolic risk factors. RESULTS Multivariable analyses showed that, 9 SNPs, including rs4712524, rs1150777, rs10842993, rs2858980, rs9583907, rs1077476, rs7180016, rs4383154, and rs9937354, showed promising associations with the presence of carotid plaque (CP). Among them, rs9937354, rs10842993, rs7180016, and rs4383154 showed significantly independent effects. The means (SD) of the 9-locus genetic risk score (9-GRS) of CP-positive and -negative subjects were 9.19 (1.53) and 8.62 (1.63), respectively (p < 0.001). The corresponding values of 4-locus GRS (4-GRS) were 4.02 (0.81) and. 3.78 (0.92), respectively (p < 0.001). The multivariable-adjusted odds ratio of having CP for per 1.0 increase in 9-GRS and 4-GRS were 1.30 (95% CI 1.18-1.44; p = 4.7 × 10-7) and 1.47 (95% CI 1.74-9.40; p = 6.1 × 10-5), respectively. The means of multi-locus GRSs of DM patients were similar to those of CP-positive subjects and higher than those of CP-negative or DM-negative subjects. CONCLUSIONS We identified 9 DM SNPs showing promising associations with CP. The multi-locus GRSs may be used as biomarkers for the identification and prediction of high-risks subjects for atherosclerosis and atherosclerotic diseases. Future studies on these specific SNPs and their associated genes may provide valuable information for the preventions of DM and atherosclerosis.
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Affiliation(s)
- Tzu-Wei Wu
- Department of Medicine, MacKay Medical College, No. 46, Sec. 3, Zhongzheng Road, Sanzhi District, New Taipei City, Taiwan
| | - Chao-Liang Chou
- Department of Medicine, MacKay Medical College, No. 46, Sec. 3, Zhongzheng Road, Sanzhi District, New Taipei City, Taiwan.,Department of Neurology, MacKay Memorial Hospital, New Taipei City, Taiwan
| | - Chun-Fang Cheng
- Tamsui Health Station, Department of Health, New Taipei City Government, New Taipei City, Taiwan
| | - Shu-Xin Lu
- Department of Neurology, MacKay Memorial Hospital, New Taipei City, Taiwan
| | - Yih-Jer Wu
- Department of Medicine, MacKay Medical College, No. 46, Sec. 3, Zhongzheng Road, Sanzhi District, New Taipei City, Taiwan. .,Institute of Biomedical Sciences, MacKay Medical College, New Taipei City, Taiwan. .,Cardiovascular Center, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan. .,Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan.
| | - Li-Yu Wang
- Department of Medicine, MacKay Medical College, No. 46, Sec. 3, Zhongzheng Road, Sanzhi District, New Taipei City, Taiwan.
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Timasheva Y, Balkhiyarova Z, Avzaletdinova D, Rassoleeva I, Morugova TV, Korytina G, Prokopenko I, Kochetova O. Integrating Common Risk Factors with Polygenic Scores Improves the Prediction of Type 2 Diabetes. Int J Mol Sci 2023; 24:ijms24020984. [PMID: 36674502 PMCID: PMC9866792 DOI: 10.3390/ijms24020984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/12/2022] [Accepted: 12/22/2022] [Indexed: 01/07/2023] Open
Abstract
We tested associations between 13 established genetic variants and type 2 diabetes (T2D) in 1371 study participants from the Volga-Ural region of the Eurasian continent, and evaluated the predictive ability of the model containing polygenic scores for the variants associated with T2D in our dataset, alone and in combination with other risk factors such as age and sex. Using logistic regression analysis, we found associations with T2D for the CCL20 rs6749704 (OR = 1.68, PFDR = 3.40 × 10-5), CCR5 rs333 (OR = 1.99, PFDR = 0.033), ADIPOQ rs17366743 (OR = 3.17, PFDR = 2.64 × 10-4), TCF7L2 rs114758349 (OR = 1.77, PFDR = 9.37 × 10-5), and CCL2 rs1024611 (OR = 1.38, PFDR = 0.033) polymorphisms. We showed that the most informative prognostic model included weighted polygenic scores for these five loci, and non-genetic factors such as age and sex (AUC 85.8%, 95%CI 83.7-87.8%). Compared to the model containing only non-genetic parameters, adding the polygenic score for the five T2D-associated loci showed improved net reclassification (NRI = 37.62%, 1.39 × 10-6). Inclusion of all 13 tested SNPs to the model with age and sex did not improve the predictive ability compared to the model containing five T2D-associated variants (NRI = -17.86, p = 0.093). The five variants associated with T2D in people from the Volga-Ural region are linked to inflammation (CCR5, CCL2, CCL20) and glucose metabolism regulation (TCF7L, ADIPOQ2). Further studies in independent groups of T2D patients should validate the prognostic value of the model and elucidate the molecular mechanisms of the disease development.
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Affiliation(s)
- Yanina Timasheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of Russian Academy of Sciences, 450054 Ufa, Russia
- Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia
- Correspondence:
| | - Zhanna Balkhiyarova
- Section of Statistical Multi-Omics, Department of Clinical & Experimental Medicine, School of Biosciences & Medicine, University of Surrey, Guildford GU2 7XH, UK
- Department of Endocrinology, Bashkir State Medical University, 450008 Ufa, Russia
| | - Diana Avzaletdinova
- Department of Endocrinology, Bashkir State Medical University, 450008 Ufa, Russia
| | - Irina Rassoleeva
- Department of Endocrinology, Bashkir State Medical University, 450008 Ufa, Russia
| | - Tatiana V. Morugova
- Department of Endocrinology, Bashkir State Medical University, 450008 Ufa, Russia
| | - Gulnaz Korytina
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of Russian Academy of Sciences, 450054 Ufa, Russia
| | - Inga Prokopenko
- Section of Statistical Multi-Omics, Department of Clinical & Experimental Medicine, School of Biosciences & Medicine, University of Surrey, Guildford GU2 7XH, UK
| | - Olga Kochetova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of Russian Academy of Sciences, 450054 Ufa, Russia
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Sánchez-Maldonado JM, Collado R, Cabrera-Serrano AJ, Ter Horst R, Gálvez-Montosa F, Robles-Fernández I, Arenas-Rodríguez V, Cano-Gutiérrez B, Bakker O, Bravo-Fernández MI, García-Verdejo FJ, López JAL, Olivares-Ruiz J, López-Nevot MÁ, Fernández-Puerta L, Cózar-Olmo JM, Li Y, Netea MG, Jurado M, Lorente JA, Sánchez-Rovira P, Álvarez-Cubero MJ, Sainz J. Type 2 Diabetes-Related Variants Influence the Risk of Developing Prostate Cancer: A Population-Based Case-Control Study and Meta-Analysis. Cancers (Basel) 2022; 14:cancers14102376. [PMID: 35625981 PMCID: PMC9139180 DOI: 10.3390/cancers14102376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/26/2022] [Accepted: 04/29/2022] [Indexed: 02/06/2023] Open
Abstract
In this study, we have evaluated whether 57 genome-wide association studies (GWAS)-identified common variants for type 2 diabetes (T2D) influence the risk of developing prostate cancer (PCa) in a population of 304 Caucasian PCa patients and 686 controls. The association of selected single nucleotide polymorphisms (SNPs) with the risk of PCa was validated through meta-analysis of our data with those from the UKBiobank and FinnGen cohorts, but also previously published genetic studies. We also evaluated whether T2D SNPs associated with PCa risk could influence host immune responses by analysing their correlation with absolute numbers of 91 blood-derived cell populations and circulating levels of 103 immunological proteins and 7 steroid hormones. We also investigated the correlation of the most interesting SNPs with cytokine levels after in vitro stimulation of whole blood, peripheral mononuclear cells (PBMCs), and monocyte-derived macrophages with LPS, PHA, Pam3Cys, and Staphylococcus Aureus. The meta-analysis of our data with those from six large cohorts confirmed that each copy of the FTOrs9939609A, HNF1Brs7501939T, HNF1Brs757210T, HNF1Brs4430796G, and JAZF1rs10486567A alleles significantly decreased risk of developing PCa (p = 3.70 × 10-5, p = 9.39 × 10-54, p = 5.04 × 10-54, p = 1.19 × 10-71, and p = 1.66 × 10-18, respectively). Although it was not statistically significant after correction for multiple testing, we also found that the NOTCH2rs10923931T and RBMS1rs7593730 SNPs associated with the risk of developing PCa (p = 8.49 × 10-4 and 0.004). Interestingly, we found that the protective effect attributed to the HFN1B locus could be mediated by the SULT1A1 protein (p = 0.00030), an arylsulfotransferase that catalyzes the sulfate conjugation of many hormones, neurotransmitters, drugs, and xenobiotic compounds. In addition to these results, eQTL analysis revealed that the HNF1Brs7501939, HNF1Brs757210, HNF1Brs4430796, NOTCH2rs10923931, and RBMS1rs7593730 SNPs influence the risk of PCa through the modulation of mRNA levels of their respective genes in whole blood and/or liver. These results confirm that functional TD2-related variants influence the risk of developing PCa, but also highlight the need of additional experiments to validate our functional results in a tumoral tissue context.
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Affiliation(s)
- José Manuel Sánchez-Maldonado
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain;
- Instituto de Investigación Biosanataria IBs. Granada, 18012 Granada, Spain
| | - Ricardo Collado
- Medical Oncology Department, Hospital de San Pedro Alcántara, 10003 Cáceres, Spain; (R.C.); (M.I.B.-F.); (J.O.-R.)
| | - Antonio José Cabrera-Serrano
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain;
- Instituto de Investigación Biosanataria IBs. Granada, 18012 Granada, Spain
| | - Rob Ter Horst
- Department of Internal Medicine and Radboud Centre for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands; (R.T.H.); (Y.L.); (M.G.N.)
| | - Fernando Gálvez-Montosa
- Department of Medical Oncology, Complejo Hospitalario de Jaén, 23007 Jaén, Spain; (F.G.-M.); (F.J.G.-V.); (J.A.L.L.); (P.S.-R.)
| | - Inmaculada Robles-Fernández
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
| | - Verónica Arenas-Rodríguez
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
- Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, 18016 Granada, Spain;
| | - Blanca Cano-Gutiérrez
- Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, 18016 Granada, Spain;
| | - Olivier Bakker
- Department of Genetics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | | | - Francisco José García-Verdejo
- Department of Medical Oncology, Complejo Hospitalario de Jaén, 23007 Jaén, Spain; (F.G.-M.); (F.J.G.-V.); (J.A.L.L.); (P.S.-R.)
| | - José Antonio López López
- Department of Medical Oncology, Complejo Hospitalario de Jaén, 23007 Jaén, Spain; (F.G.-M.); (F.J.G.-V.); (J.A.L.L.); (P.S.-R.)
| | - Jesús Olivares-Ruiz
- Medical Oncology Department, Hospital de San Pedro Alcántara, 10003 Cáceres, Spain; (R.C.); (M.I.B.-F.); (J.O.-R.)
| | | | | | | | - Yang Li
- Department of Internal Medicine and Radboud Centre for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands; (R.T.H.); (Y.L.); (M.G.N.)
- Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), 30625 Hannover, Germany
| | - Mihai G. Netea
- Department of Internal Medicine and Radboud Centre for Infectious Diseases, Radboud University Nijmegen Medical Center, 6525 GA Nijmegen, The Netherlands; (R.T.H.); (Y.L.); (M.G.N.)
- Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115 Bonn, Germany
| | - Manuel Jurado
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain;
- Instituto de Investigación Biosanataria IBs. Granada, 18012 Granada, Spain
- Department of Medicine, Faculty of Medicine, University of Granada, 18016 Granada, Spain
| | - Jose Antonio Lorente
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
- Department of Legal Medicine, Faculty of Medicine, University of Granada, 18016 Granada, Spain
| | - Pedro Sánchez-Rovira
- Department of Medical Oncology, Complejo Hospitalario de Jaén, 23007 Jaén, Spain; (F.G.-M.); (F.J.G.-V.); (J.A.L.L.); (P.S.-R.)
| | - María Jesús Álvarez-Cubero
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
- Department of Biochemistry and Molecular Biology III, Faculty of Medicine, University of Granada, 18016 Granada, Spain;
| | - Juan Sainz
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain; (J.M.S.-M.); (A.J.C.-S.); (I.R.-F.); (V.A.-R.); (M.J.); (J.A.L.); (M.J.Á.-C.)
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain;
- Instituto de Investigación Biosanataria IBs. Granada, 18012 Granada, Spain
- Department of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada, 18071 Granada, Spain
- Correspondence: ; Tel.: +34-95871-5500 (ext. 126); Fax: +34-9-5863-7071
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Lubberding AF, Juhl CR, Skovhøj EZ, Kanters JK, Mandrup‐Poulsen T, Torekov SS. Celebrities in the heart, strangers in the pancreatic beta cell: Voltage-gated potassium channels K v 7.1 and K v 11.1 bridge long QT syndrome with hyperinsulinaemia as well as type 2 diabetes. Acta Physiol (Oxf) 2022; 234:e13781. [PMID: 34990074 PMCID: PMC9286829 DOI: 10.1111/apha.13781] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 12/20/2021] [Accepted: 01/02/2022] [Indexed: 12/13/2022]
Abstract
Voltage‐gated potassium (Kv) channels play an important role in the repolarization of a variety of excitable tissues, including in the cardiomyocyte and the pancreatic beta cell. Recently, individuals carrying loss‐of‐function (LoF) mutations in KCNQ1, encoding Kv7.1, and KCNH2 (hERG), encoding Kv11.1, were found to exhibit post‐prandial hyperinsulinaemia and episodes of hypoglycaemia. These LoF mutations also cause the cardiac disorder long QT syndrome (LQTS), which can be aggravated by hypoglycaemia. Interestingly, patients with LQTS also have a higher burden of diabetes compared to the background population, an apparent paradox in relation to the hyperinsulinaemic phenotype, and KCNQ1 has been identified as a type 2 diabetes risk gene. This review article summarizes the involvement of delayed rectifier K+ channels in pancreatic beta cell function, with emphasis on Kv7.1 and Kv11.1, using the cardiomyocyte for context. The functional and clinical consequences of LoF mutations and polymorphisms in these channels on blood glucose homeostasis are explored using evidence from pre‐clinical, clinical and genome‐wide association studies, thereby evaluating the link between LQTS, hyperinsulinaemia and type 2 diabetes.
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Affiliation(s)
- Anniek F. Lubberding
- Department of Biomedical Sciences Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark
| | - Christian R. Juhl
- Department of Biomedical Sciences Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark
| | - Emil Z. Skovhøj
- Department of Biomedical Sciences Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark
| | - Jørgen K. Kanters
- Department of Biomedical Sciences Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark
| | - Thomas Mandrup‐Poulsen
- Department of Biomedical Sciences Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark
| | - Signe S. Torekov
- Department of Biomedical Sciences Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark
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Amin USM, Parvez N, Rahman TA, Hasan MR, Das KC, Jahan S, Hasanat MA, Seraj ZI, Salimullah M. CDKAL1 gene rs7756992 A/G and rs7754840 G/C polymorphisms are associated with gestational diabetes mellitus in a sample of Bangladeshi population: implication for future T2DM prophylaxis. Diabetol Metab Syndr 2022; 14:18. [PMID: 35090536 PMCID: PMC8796445 DOI: 10.1186/s13098-021-00782-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 12/30/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Association of single nucleotide polymorphisms (SNP) rs7756992 A/G and rs7754840 G/C of cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) gene with the susceptibility of gestational diabetes mellitus (GDM) has been studied in a group of Bangladeshi women. METHODS In this case-control study, 212 GDM patients and 256 control subjects were genotyped for rs7756992 and rs7754840 by PCR-RFLP and TaqMan™ allelic discrimination assay method respectively. Genotyping results were confirmed by DNA sequencing and replicated TaqMan™ assay. The odds ratios and their 95% confidence interval were calculated by logistic regression to determine the associations between genotypes and GDM. RESULTS The genotype frequencies of rs7756992-AA/AG/GG in the GDM group and the control group were 37%/48%, 53%/45%, 10%/7% and those of rs7754840-CC/CG/GG were 51%/55%, 40.1%/39.8%, 9%/5% respectively. Under dominant and log additive models rs7756992 was revealed significantly associated with GDM after being adjusted for family history of diabetes (FHD) and gravidity. Conversely, rs7754840 was significantly associated (P = 0.047) with GDM only under the recessive model after the same adjustment. The risk allele frequency of both SNPs was higher in the GDM group but significantly (P = 0.029) increased prevalence was observed in the rs7756992 G allele. When positive FHD and risk alleles of these SNPs were synergistically present in any pregnant woman, the chance of developing GDM was augmented by many folds. The codominant model revealed 2.5 and 2.1 folds increase in odds by AG (rs7756992) and GC (rs7754840) genotypes and 3.7 and 4.5 folds by GG (rs7756992) and CC (rs7754840) genotypes respectively. A significant 2.7 folds (P = 0.038) increase in odds of GDM resulted from the interaction of rs7756992 and family history of diabetes under the dominant model. The cumulative effect of multigravidity and risk alleles of these SNPs increased the odds of GDM more than 1.5 folds in different genotypes. CONCLUSION This study not only revealed a significant association between rs7756992 and rs7754840 with GDM but also provided the possibility as potential markers for foretelling about GDM and type 2 diabetes mellitus in Bangladeshi women.
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Affiliation(s)
- U S Mahzabin Amin
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Nahid Parvez
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Tahia Anan Rahman
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Md Rakibul Hasan
- Department of Endocrinology and Metabolism, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
| | - Keshob Chandra Das
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Sharmin Jahan
- Department of Endocrinology and Metabolism, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
| | - Muhammad Abul Hasanat
- Department of Endocrinology and Metabolism, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
| | - Zeba I Seraj
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Md Salimullah
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh.
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Saeedi M, Mehranfar F, Ghorbani F, Eskandari M, Ghorbani M, Babaeizad A. Review of pharmaceutical and therapeutic approaches for type 2 diabetes and related disorders. Recent Pat Biotechnol 2022; 16:188-213. [PMID: 35088682 DOI: 10.2174/1872208316666220128102934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 11/05/2021] [Accepted: 11/30/2021] [Indexed: 11/22/2022]
Abstract
One of the essential diseases that are increasing in the world is type 2 diabetes (T2D), which many people around the world live with this disease. Various studies have revealed that insulin resistance, lessened insulin production has been associated with T2D, and they also show that this disease can have a genetic origin and is associated with different genes such as KCNQ1, PPAR-γ, calpain-10, ADIPOR2, TCF7L2 that can be utilized as a therapeutic target. Different therapeutic approaches and strategies such as exercise and diet, pharmacological approaches, and utilization of nanoparticles in drug delivery and gene therapy can be effective in the treatment and control of T2D. Glucagon-like peptide 1 (GLP-1) and sodium glucose cotransporter-2 (SGLT2) have both been considered as drug classes in the treatment of T2D and T2D-related diseases such as cardiovascular disease and renal disease, and have considerable influences such as diminished cardiovascular mortality in individuals with T2D, ameliorate postprandial glycaemia, ameliorate fasting glycaemia, and diminish body weight on disease treatment and improvement process. In the present review article, we have made an attempt to explore the risk factors, Genes, and diseases associated with T2D, therapeutic approaches in T2D, the influences of drugs such as Dapagliflozin, Metformin, Acarbose, Januvia (Sitagliptin), and Ertugliflozin on T2D in clinical trials and animal model studies. Research in clinical trials has promising results that support the role of these drug approaches in T2D prophylaxis and ameliorate safety even though additional clinical research is still obligatory.
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Affiliation(s)
- Mohammad Saeedi
- Department of Hematology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Mehranfar
- Department of Laboratory Science, Faculty of medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Fateme Ghorbani
- Department of immunology, Semnan university of Medical sciences, Semnan, Iran
| | - Mohammadali Eskandari
- Student Research Committee, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Majid Ghorbani
- Department of Hematology, Mashhad University of Medical sciences, Mashhad, Iran
| | - Ali Babaeizad
- Student Research Committee, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
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Zeng Q, Zou D, Gu S, Han F, Cao S, Wei Y, Guo R. Different Associations Between CDKAL1 Variants and Type 2 Diabetes Mellitus Susceptibility: A Meta-analysis. Front Genet 2022; 12:783078. [PMID: 35069684 PMCID: PMC8766415 DOI: 10.3389/fgene.2021.783078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
Abstract
Background: CDK5 regulatory subunit associated protein 1 like 1 (CDKAL1) is a major pathogenesis-related protein for type 2 diabetes mellitus (T2DM). Recently, some studies have investigated the association of CDKAL1 susceptibility variants, including rs4712523, rs4712524, and rs9460546 with T2DM. However, the results were inconsistent. This study aimed to evaluate the association of CDKAL1 variants and T2DM patients. Methods: A comprehensive meta-analysis was performed to assess the association between CDKAL1 SNPs and T2DM among dominant, recessive, additive, and allele models. Results: We investigated these three CDKAL1 variants to identify T2DM risk. Our findings were as follows: rs4712523 was associated with an increased risk of T2DM for the allele model (G vs A: OR = 1.172; 95% CI: 1.103-1.244; p < 0.001) and dominant model (GG + AG vs AA: OR = 1.464; 95% CI: 1.073-1.996; p = 0.016); rs4712524 was significantly associated with an increased risk of T2DM for the allele model (G vs A: OR = 1.146; 95% CI: 1.056-1.245; p = 0.001), additive model (GG vs AA: OR = 1.455; 95% CI: 1.265-1.673; p < 0.001) recessive model (GG vs AA + AG: OR = 1.343; 95% CI: 1.187-1.518; p < 0.001) and dominant model (GG + AG vs AA: OR = 1.221; 95% CI: 1.155-1.292; p < 0.001); and rs9460546 was associated with an increased risk of T2DM for the allele model (G vs T: OR = 1.215; 95% CI: 1.167-1.264; p = 0.023). The same results were found in the East Asian subgroup for the allele model. Conclusions: Our findings suggest that CDKAL1 polymorphisms (rs4712523, rs4712524, and rs9460546) are significantly associated with T2DM.
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Affiliation(s)
- Qiaoli Zeng
- Department of Internal Medicine, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China.,Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China.,Matenal and Child Research Institute, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Dehua Zou
- Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China.,Matenal and Child Research Institute, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China.,State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Taipa, Macau SAR, China
| | - Shanshan Gu
- Matenal and Child Research Institute, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China.,Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Fengqiong Han
- Department of Obstetric, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Shilin Cao
- Department of Medical, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Yue Wei
- Department of Ultrasound, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Runmin Guo
- Department of Internal Medicine, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China.,Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China.,Matenal and Child Research Institute, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China.,Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
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10
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Dai H, Qian Y, Lv H, Jiang L, Jiang H, Shen M, Chen H, Chen Y, Zheng S, Fu Q, Yang T, Xu K. Rs864745 in JAZF1, an Islet Function Associated Variant, Correlates With Plasma Lipid Levels in Both Type 1 and Type 2 Diabetes Status, but Not Healthy Subjects. Front Endocrinol (Lausanne) 2022; 13:898893. [PMID: 35846288 PMCID: PMC9283698 DOI: 10.3389/fendo.2022.898893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/31/2022] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE This study aims to reveal the association between JAZF1 rs864745 A>G variant and type 2 diabetes (T2D), type 1 diabetes (T1D) risk, and their correlation with clinical features, including islet function, islet autoimmunity, and plasma lipid levels. METHODS We included 2505 healthy controls based on oral glucose tolerance test (OGTT), 1736 unrelated T2D, and 1003 unrelated autoantibody-positive T1D individuals. Binary logistic regression was performed to evaluate the relationships between rs864745 in JAZF1 and T2D, T1D, and islet-specific autoantibody status under the additive model, while multiple linear regression was used to assess its effect on glycemic-related quantitative traits and plasma lipid levels. RESULTS We did not find any association between rs864745 in JAZF1 and T2D, T1D, or their subgroups (All P > 0.05). For glycemic traits, we found that the G allele of this variant was significantly associated with higher 120 min insulin level, insulinogenic index (IGI), corrected insulin response (CIR), and acute insulin response (BIGTT-AIR) (P = 0.033, 0.006, 0.009, and 0.016, respectively) in healthy individuals. Similar associations were observed in newly diagnosed T2D but not T1D individuals. Although this variant had no impact on islet autoimmunity (All P > 0.05), significant associations with plasma total cholesterol (TC) and low-density lipoprotein (LDL) level stratified by JAZF1 rs864745 variant were observed in the disease status of T2D (P = 0.002 and 0.003) and T1D (P = 0.024 and 0.009), with significant heterogeneity to healthy individuals. CONCLUSIONS The common JAZF1 rs864745 variant contributes to islet function and lipid metabolism, which might be put into genetic risk scores to assess the risk of related clinical features.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Tao Yang
- *Correspondence: Tao Yang, ; Kuanfeng Xu,
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11
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Izaola-Jáuregui O, Primo-Martín D, López JJ, de Luis-Román DA. The risk variant of CDKAL1 (rs7756992) impairs fasting glucose levels and insulin resistance improvements after a partial meal-replacement hypocaloric diet. ENDOCRINOL DIAB NUTR 2021; 68:548-556. [PMID: 34872638 DOI: 10.1016/j.endien.2020.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 08/27/2020] [Indexed: 06/13/2023]
Abstract
BACKGROUND The CDKAL1 (CDK5 Regulatory Subunit Associated Protein 1 Like 1) gene encodes cyclin-dependent kinase 5 (CDK5) regulatory subunit-associated proten1 like 1. This protein has been shown to contribute to the glucose-dependent regulation of insulin secretion in pancreatic islets. AIMS The aim of our study was to analyze the effects of the rs7756992 genetic variant of CDKAL1 gene on fasting glucose and insulin resistance after weight loss secondary to partial meal replacement hypocaloric diet (pMRHD). METHODS This was a non-randomized, single-treatment study with a formula-diet in 44 obese subjects. The patients received nutritional education and a modified diet with two intakes of a normocaloric hyperproteic formula for 3-months. Anthropometric parameter and biochemical profile were measured at basal time and after 3 months. The variant of CDKAL1 gene rs7756992 was assessed. RESULTS The following genetic distribution was observed; [27AA (61.3%), 12 AG (27.3%) and 5 GG (11.4%)]. After the pMRHD, body weight, the body mass index (BMI), fat mass, waist circumference and blood pressure decreased in both genotypes. Non-G allele carriers showed a significant improvement in fasting glucose levels (AA vs. AG + GG) (-6.1 ± 1.4 md/dl vs. -1.2 ± 0.7 mg/dl; p = 0.01), fasting insulin levels (-3.6 ± 0.2 mU/l vs. -1.3 ± 0.6 mU/l; p = 0.02) and HOMA-IR (-1.2 ± 0.2 units vs. -0.3 ± 0.2 units; p = 0.01). Fasting plasma glucose levels were higher in G allele carriers than non G allele carriers. CONCLUSIONS Our data suggest that the genetic variant (rs7756992) of CDKAL1 gene is associated with glycaemic status after a pMRHD, with greater improvements in fasting glucose, insulin and HOMA-IR in subjects without the G allele.
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Affiliation(s)
- Olatz Izaola-Jáuregui
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, Spain
| | - David Primo-Martín
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, Spain
| | - Juan José López
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, Spain
| | - Daniel Antonio de Luis-Román
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, Spain.
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12
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Leak-Johnson T, Yan F, Daniels P. What the Jackson Heart Study Has Taught Us About Diabetes and Cardiovascular Disease in the African American Community: a 20-year Appreciation. Curr Diab Rep 2021; 21:39. [PMID: 34495422 DOI: 10.1007/s11892-021-01413-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/25/2021] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW The burden of cardiometabolic diseases such as cardiovascular disease (CVD) and type 2 diabetes (T2D) is pronounced among African Americans. Research has shown that behavioral, social, metabolic, psychosocial, and genetic risk factors of CVD and T2D are closely interwoven. Approximately 20 years ago, the Jackson Heart Study (JHS) was established to investigate this constellation of risk factors. RECENT FINDINGS Findings from neighborhood studies emphasize the importance of social cohesion and physical environment in the context CVD and T2D risk. Socioeconomic status factors such as income and education were significant predictors for CVD and T2D. Behavioral studies indicate that modifiable risk factors such as smoking, physical inactivity, lack of sleep, and poor nutrition are associated with CVD risk and all-cause mortality. Mental health also was found to be associated with CVD and T2D. Genetic influences are associated with disease etiology. This review summarizes the joint contributions of CVD and cardiometabolic risk factors in an African American population.
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Affiliation(s)
- Tennille Leak-Johnson
- Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA, 30310, USA.
- Department of Physiology, Morehouse School of Medicine, Atlanta, GA, USA.
| | - Fengxia Yan
- The Research Design and Biostatistics Core, Morehouse School of Medicine, Atlanta, GA, USA
- Community Health & Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Pamela Daniels
- The Research Design and Biostatistics Core, Morehouse School of Medicine, Atlanta, GA, USA
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Jiang HL, Du H, Deng YJ, Liang X. Effect of KCNQ1 rs2237892 polymorphism on the predisposition to type 2 diabetes mellitus: An updated meta-analysis. Diabetol Metab Syndr 2021; 13:75. [PMID: 34238370 PMCID: PMC8264960 DOI: 10.1186/s13098-021-00683-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 06/02/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES Previous studies have analyzed the potential effect of KCNQ1 rs2237892 polymorphism on the predisposition to type 2 diabetes mellitus, but the findings are inconclusive and the subject of debate. The purpose of our study was to provide further insight into the potential association between KCNQ1 rs2237892 polymorphism and the risk of type 2 diabetes mellitus. METHODS In total, 50 articles (60 studies) with 77,276 cases and 76,054 controls were utilized in our analysis. The pooled odds ratio (OR), 95% confidence interval (95% CI), and p value were used to evaluate the significance of our findings. Funnel plots and Beggar's regression tests were utilized to determine the presence of publication bias. RESULTS Our meta-analysis results indicated that KCNQ1 rs2237892 polymorphism could be correlated with the risk of type 2 diabetes mellitus under the C allelic, recessive, and dominant genetic models (OR = 1.25, 95% 1.19-1.32, p < 0.001; OR = 1.50, 95% CI 1.34-1.68, p < 0.001; OR = 1.26, 95% CI 1.14-1.40, p < 0.001, respectively). Additionally, ethnicity analysis revealed that the source of control, case size, and Hardy-Weinberg Equilibrium status were correlated to the polymorphism in the three genetic models. CONCLUSIONS Our meta-analysis demonstrated significant evidence to support the association between KCNQ1 rs2237892 polymorphism and predisposition to type 2 diabetes mellitus.
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Affiliation(s)
- Hong-Liang Jiang
- Department of Anorectal Medicine, Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Gaozhou, 525025, Guangdong, China
| | - Han Du
- Dermatology Department of Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, No. 32 Maoming Avenue, Gaozhou, 525025, Guangdong, China.
| | - Ying-Jun Deng
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong, China
| | - Xue Liang
- Department of Science and Education, Gaozhou Hospital of Traditional Chinese Medicine, Guangzhou University of Chinese Medicine, Gaozhou, 525025, Guangdong, China
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14
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Izaola-Jáuregui O, Primo-Martín D, López JJ, de Luis-Román DA. The risk variant of CDKAL1 (rs7756992) impairs fasting glucose levels and insulin resistance improvements after a partial meal-replacement hypocaloric diet. ENDOCRINOL DIAB NUTR 2021; 68:S2530-0164(21)00038-0. [PMID: 33965365 DOI: 10.1016/j.endinu.2020.08.009] [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: 12/30/2019] [Revised: 08/26/2020] [Accepted: 08/27/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND The CDKAL1 (CDK5 Regulatory Subunit Associated Protein 1 Like 1) gene encodes cyclin-dependent kinase 5 (CDK5) regulatory subunit-associated proten1 like 1. This protein has been shown to contribute to the glucose-dependent regulation of insulin secretion in pancreatic islets. AIMS The aim of our study was to analyze the effects of the rs7756992 genetic variant of CDKAL1 gene on fasting glucose and insulin resistance after weight loss secondary to partial meal replacement hypocaloric diet (pMRHD). METHODS This was a non-randomized, single-treatment study with a formula-diet in 44 obese subjects. The patients received nutritional education and a modified diet with two intakes of a normocaloric hyperproteic formula for 3-months. Anthropometric parameter and biochemical profile were measured at basal time and after 3 months. The variant of CDKAL1 gene rs7756992 was assessed. RESULTS The following genetic distribution was observed; [27AA (61.3%), 12 AG (27.3%) and 5 GG (11.4%)]. After the pMRHD, body weight, the body mass index (BMI), fat mass, waist circumference and blood pressure decreased in both genotypes. Non-G allele carriers showed a significant improvement in fasting glucose levels (AA vs. AG + GG) (-6.1 ± 1.4 md/dL vs. -1.2 ± 0.7 mg/dl; p = 0.01), fasting insulin levels (-3.6 ± 0.2 mU/L vs. -1.3 ± 0.6 mU/L; p = 0.02) and HOMA-IR (-1.2 ± 0.2 units vs. -0.3 ± 0.2 units; p = 0.01). Fasting plasma glucose levels were higher in G allele carriers than non G allele carriers. CONCLUSIONS Our data suggest that the genetic variant (rs7756992) of CDKAL1 gene is associated with glycaemic status after a pMRHD, with greater improvements in fasting glucose, insulin and HOMA-IR in subjects without the G allele.
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Affiliation(s)
- Olatz Izaola-Jáuregui
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid. Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, España
| | - David Primo-Martín
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid. Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, España
| | - Juan José López
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid. Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, España
| | - Daniel Antonio de Luis-Román
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid. Centro de Investigación de Endocrinología y Nutrición Clínica, Facultad de Medicina, Universidad de Valladolid, Valladolid, España.
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Liju S, Chidambaram M, Mohan V, Radha V. Impact of type 2 diabetes variants identified through genome-wide association studies in early-onset type 2 diabetes from South Indian population. Genomics Inform 2020; 18:e27. [PMID: 33017871 PMCID: PMC7560451 DOI: 10.5808/gi.2020.18.3.e27] [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: 05/05/2020] [Accepted: 05/26/2020] [Indexed: 12/14/2022] Open
Abstract
The prevalence of early-onset type 2 diabetes (EOT2D) is increasing in Asian countries. Genome-wide association studies performed in European and various other populations have identified associations of numerous variants with type 2 diabetes in adults. However, the genetic component of EOT2D which is still unexplored could have similarities with late-onset type 2 diabetes. Here in the present study we aim to identify the association of variants with EOT2D in South Indian population. Twenty-five variants from 18 gene loci were genotyped in 1,188 EOT2D and 1,183 normal glucose tolerant subjects using the MassARRAY technology. We confirm the association of the HHEX variant rs1111875 with EOT2D in this South Indian population and also the association of CDKN2A/2B (rs7020996) and TCF7L2 (rs4506565) with EOT2D. Logistic regression analyses of the TCF7L2 variant rs4506565(A/T), showed that the heterozygous and homozygous carriers for allele ‘T’ have odds ratios of 1.47 (95% confidence interval [CI], 1.17 to 1.83; p = 0.001) and 1.65 (95% CI, 1.18 to 2.28; p = 0.006) respectively, relative to AA homozygote. For the HHEX variant rs1111875 (T/C), heterozygous and homozygous carriers for allele ‘C’ have odds ratios of 1.13 (95% CI, 0.91 to 1.42; p = 0.27) and 1.58 (95% CI, 1.17 to 2.12; p = 0.003) respectively, relative to the TT homozygote. For CDKN2A/2B variant rs7020996, the heterozygous and homozygous carriers of allele ‘C’ were protective with odds ratios of 0.65 (95% CI, 0.51 to 0.83; p = 0.0004) and 0.62 (95% CI, 0.27 to 1.39; p = 0.24) respectively, relative to TT homozygote. This is the first study to report on the association of HHEX variant rs1111875 with EOT2D in this population.
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Affiliation(s)
- Samuel Liju
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai 600086, India
| | - Manickam Chidambaram
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai 600086, India
| | - Viswanathan Mohan
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai 600086, India.,Dr. Mohan's Diabetes Specialties Centre, ICMR Centre for Diabetes Advanced Research and WHO Collaborating Centre for Non-communicable Diseases Prevention and Control, Chennai 600086, India
| | - Venkatesan Radha
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai 600086, India
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16
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IGF2BP2 polymorphisms as genetic biomarkers for either schizophrenia or type 2 diabetes mellitus: A case-control study. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100680] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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17
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Shin SW, Jung SJ, Jung ES, Hwang JH, Kim WR, So BO, Park BH, Lee SO, Cho BH, Park TS, Kim YG, Chae SW. Effects of a Lifestyle-Modification Program on Blood-Glucose Regulation and Health Promotion in Diabetic Patients: A Randomized Controlled Trial. J Lifestyle Med 2020; 10:77-91. [PMID: 32995335 PMCID: PMC7502894 DOI: 10.15280/jlm.2020.10.2.77] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 06/11/2020] [Indexed: 11/22/2022] Open
Abstract
Background We aimed to investigate the efficacy of the lifestyle intervention (LSI) program in controlling blood glucose regulation and health promotion in type 2 diabetic (T2D) patients. Methods Thirty adults with a diagnosed with diabetes were randomly assigned to LSI and control groups. The LSI group maintained their daily routines after participating twice in the LSI program, while control group maintained 4 weeks of daily life without participating in an intervention. Results HbA1c levels in the LSI group decreased significantly after participation (p = 0.025) compared with levels before the study, but there was no significant difference between the groups. The weight and body mass index (BMI) of the LSI group tended to decrease significantly compared with the control group (p = 0.054 and p = 0.055, respectively), and the waist circumference (WC) of the LSI group decreased significantly compared with that of the control group (p = 0.048). In the effects of the LSI program according to the polymorphism of GCKR genes, changes in glycated albumin (GA) (%), HbA1c, WC, BMI, and weight showed a significant decrease in the non-risk (TT genotype) GCKR group compared with the risk group (CC and TC genotype). Conclusion Application of the four-week LSI program to diabetics revealed positive effects on blood-glucose control and improvement in obesity indicators. In particular, the risk group with variations in the GCKR gene was associated with more genetic effects on indicators such as blood glucose and obesity than was the non-risk group.
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Affiliation(s)
- Sang-Wook Shin
- Department of Medical Nutrition Therapy, Jeonbuk National University, Jeonju, Korea
| | - Su-Jin Jung
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea.,Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Eun-Soo Jung
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea
| | - Ji-Hyun Hwang
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea
| | - Woo-Rim Kim
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea
| | - Byung-Ok So
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea
| | - Byung-Hyun Park
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea.,Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea.,Department of Biochemistry and Molecular Biology, Jeonju, Korea
| | - Seung-Ok Lee
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea.,Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea.,Division of Gastroenterology and Hepatology, Department of Internal Medicine, Jeonbuk National University Medical School, Jeonju, Jeonju, Korea
| | | | - Tae-Sun Park
- Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea.,Division of Endocrinology, Jeonju, Korea
| | - Young-Gon Kim
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea.,Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea.,Department of Urology, Jeonju, Korea
| | - Soo-Wan Chae
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju, Korea.,Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea.,Department of Pharmacology, Jeonbuk National University Medical School, Jeonju, Korea
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Kang K, Sun X, Wang L, Yao X, Tang S, Deng J, Wu X, Yang C, Chen G. Direct-to-consumer genetic testing in China and its role in GWAS discovery and replication. QUANTITATIVE BIOLOGY 2020. [DOI: 10.1007/s40484-020-0209-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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19
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Pharmacogenetic Aspects of Type 2 Diabetes Treatment. ACTA BIOMEDICA SCIENTIFICA 2020. [DOI: 10.29413/abs.2020-5.3.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
In this article, we analyze the role of different variants of the KCNJ11, TCF7L2, SLC22A1, SLC22A3, CYP2C9, CYP2C8, PPARγ genes polymorphisms in efficacy of diabetes mellitus pharmacotherapy. T allele of the KCNJ11 rs2285676 gene polymorphism and G allele of KCNJ11 rs5218 gene polymorphism are associated with the response to IDPP-4 therapy; the presence of KCNJ11 gene rs5210 polymorphism A allele is a predictor of poor response. The effect of rs7903146 polymorphism of TCF7L2 gene was evaluated on the response to treatment of patients taking linagliptin. Linagliptin significantly reduced HbA1c levels for all three rs7903146 genotypes (CC: –0.82 %; CT: –0.77 %; TT: –0.57 %). A significantly smaller effect of therapy was observed with the genotype with ТТ. The rs622342 polymorphism of SLC22A1 gene was studied in effectiveness of metformin. The researches demonstrated that carriers of variant AA had an average decrease of HbA1c of 0.53 %, heterozygous – decrease of 0.32 %, and carriers of a minor variant of SS had an increase of 0.2 % in the level of HbA1c. A significant effect of CYP2C9 polymorphisms on the pharmacokinetic parameters of PSM was noted. When studying the kinetics of glibenclamide, it was found that carriage of the allele *2 significantly reduces glibenclamide metabolism: homozygous carriers had clearance 90 % lower than homozygous carriers of the wild variant. The studies confirmed the association of the allelic variants of Thr394Thr and Gly482Ser of PPARγ gene with higher efficacy of the rosiglitazone. The data obtained from the analysis of the association of the Pro12Ala polymorphism of PPARγ gene and the response to therapy is contradictory. Thus the personalized approach, based on the knowledge of polymorphism options, will allow choosing the most effective drug with transparent kinetics for each individual patient.
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Ouedraogo SY, Tchelougou D, Kologo JK, Sombie HK, Zeye MMJ, Compaore RT, Ouattara AK, Sorgho AP, Obiri-Yeboah D, Soubeiga ST, Nagabila I, Yonli AT, Djigma FW, Simpore J. No correlation between the variants of exostosin 2 gene and type 2 diabetes in Burkina Faso population. J Public Health Afr 2020; 11:1233. [PMID: 33209235 PMCID: PMC7649729 DOI: 10.4081/jphia.2020.1233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 05/06/2020] [Indexed: 11/23/2022] Open
Abstract
Recent genome-wide association studies and replication analyses have reported the association of variants of the exostosin- 2 gene (EXT2) and risk of type 2 diabetes (T2D) in some populations, but not in others. This study aimed to characterize the variants rs1113132, rs3740878 and rs11037909 of EXT2 and to determine the existence of a possible correlation with T2D in Burkina Faso. It is a case-control study undertaken in Burkina Faso in the city of Ouagadougou at the Hospital of Saint Camille of Ouagadougou from December 2014 to June 2015. It relates to 121 type 2 diabetes cases and 134 controls. The genotyping of these polymorphisms was done by real-time PCR using the allelic exclusion method with TaqMan probes. The minor allele frequencies (MAFs) was almost identical in diabetic and control subjects for the all three Single Nucleotide Polymorphisms (SNPs) with no statistical significance, p>0.05: rs1113132 (OR=0.89; p=0.82); rs11037909 (OR=0.89; p=0.74) and rs3740878 (OR=1.52; p=0.42). None of the three polymorphisms studied was associated with the risk of DT2. However, an association between the BMI, age and type 2 diabetes was noted. The variants of EXT2 would not be associated to the risk of T2D in the African black population of Burkina Faso.
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Affiliation(s)
| | - Daméhan Tchelougou
- Laboratory of Molecular Biology and Genetic (LABIOGENE), Ouagadougou, Burkina Faso
| | | | - Herman Karim Sombie
- Laboratory of Molecular Biology and Genetic (LABIOGENE), Ouagadougou, Burkina Faso
| | | | - Rebeca Tégwindé Compaore
- Laboratory of Molecular Biology and Genetic (LABIOGENE), Ouagadougou, Burkina Faso.,Biomolecular Research Center Pietro Annigoni (CERBA), Ouagadougou
| | | | | | - Dorcas Obiri-Yeboah
- Department of Microbiology and Immunology, School of Medical Sciences, University of Cape Coast, Ghana
| | | | | | - Albert Théophane Yonli
- Laboratory of Molecular Biology and Genetic (LABIOGENE), Ouagadougou, Burkina Faso.,Biomolecular Research Center Pietro Annigoni (CERBA), Ouagadougou
| | - Florencia Wendkuuni Djigma
- Laboratory of Molecular Biology and Genetic (LABIOGENE), Ouagadougou, Burkina Faso.,Biomolecular Research Center Pietro Annigoni (CERBA), Ouagadougou
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21
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Krentz NAJ, Gloyn AL. Insights into pancreatic islet cell dysfunction from type 2 diabetes mellitus genetics. Nat Rev Endocrinol 2020; 16:202-212. [PMID: 32099086 DOI: 10.1038/s41574-020-0325-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/17/2020] [Indexed: 12/30/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is an increasingly prevalent multifactorial disease that has both genetic and environmental risk factors, resulting in impaired glucose homeostasis. Genome-wide association studies (GWAS) have identified over 400 genetic signals that are associated with altered risk of T2DM. Human physiology and epigenomic data support a central role for the pancreatic islet in the pathogenesis of T2DM. This Review focuses on the promises and challenges of moving from genetic associations to molecular mechanisms and highlights efforts to identify the causal variant and effector transcripts at T2DM GWAS susceptibility loci. In addition, we examine current human models that are used to study both β-cell development and function, including EndoC-β cell lines and human induced pluripotent stem cell-derived β-like cells. We use examples of four T2DM susceptibility loci (CDKAL1, MTNR1B, SLC30A8 and PAM) to emphasize how a holistic approach involving genetics, physiology, and cellular and developmental biology can disentangle disease mechanisms at T2DM GWAS signals.
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Affiliation(s)
- Nicole A J Krentz
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Anna L Gloyn
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK.
- Stanford Diabetes Research Centre, Stanford University, Stanford, CA, USA.
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22
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Obesity-related loci in TMEM18, CDKAL1 and FAIM2 are associated with obesity and type 2 diabetes in Chinese Han patients. BMC MEDICAL GENETICS 2020; 21:65. [PMID: 32228543 PMCID: PMC7106578 DOI: 10.1186/s12881-020-00999-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Accepted: 03/16/2020] [Indexed: 12/18/2022]
Abstract
Background Several obesity susceptibility loci in genes, including GNPDA2, SH2B1, TMEM18, MTCH2, CDKAL1, FAIM2, and MC4R, have been identified by genome-wide association studies. The purpose of this study was to investigate whether these loci are associated with the concurrence of obesity and type 2 diabetes in Chinese Han patients. Methods Using the SNaPshot technique, we genotyped seven single nucleotide polymorphisms (SNPs) in 439 Chinese patients living in Northeast China who presented at The Second Hospital of Jilin University. We analyzed the associations between these seven alleles and clinical characteristics. Results Risk alleles near TMEM18 (rs6548238) were associated with increased waist circumference, waist/hip ratio, body mass index (BMI), fasting plasma glucose, hemoglobin A1c, diastolic blood pressure, triglycerides, total cholesterol, and low-density lipoprotein-cholesterol; risk alleles of CDKAL1 (rs7754840) were associated with increased waist circumference and waist/hip ratio; and FAIM2 (rs7138803) risk alleles were linked to increased BMI, diastolic blood pressure, and triglycerides (all P < 0.05). After adjusting for sex and age, loci near TMEM18 (rs6548238) and FAIM2 (rs7138803), but not SH2B1 (rs7498665), near GNPDA2 (rs10938397), MTCH2 (rs10838738) and near MC4R (rs12970134), were associated with increased risk for type 2 diabetes in obese individuals. Conclusion We found that loci near TMEM18 (rs6548238), CDKAL1 (rs7754840), and FAIM2 (rs7138803) may be associated with obesity-related indicators, and loci near TMEM18 (rs6548238) and FAIM2 (rs7138803) may increase susceptibility of concurrent type 2 diabetes associated with obesity.
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23
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Tian Y, Xu J, Huang T, Cui J, Zhang W, Song W, Chen H, Huang P, Yang S, Wang L, He X, Wang L, Cui W. A Novel Polymorphism (rs35612982) in CDKAL1 Is a Risk Factor of Type 2 Diabetes: A Case-Control Study. Kidney Blood Press Res 2019; 44:1313-1326. [PMID: 31639799 DOI: 10.1159/000503175] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 09/05/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The interaction of environmental factors and genetic factors may contribute to the risk of type 2 diabetes (T2D). We aimed to investigate whether age, gender, body mass index (BMI) and lifestyle factors have an effect on the association between the CDKAL1 polymorphisms and T2D. METHODS Eight single nucleotide polymorphisms in CDKAL1 were genotyped by Agena MassARRAY in 508 T2D patients and 503 controls. The association between the CDKAL1 polymorphisms and T2D was evaluated using logistic regression model by calculating OR and 95% CIs. RESULTS We found a significant association between CDKAL1 polymorphisms (rs4712523, OR 1.42, p = 9.44 × 10-5; rs4712524, OR 1.38, p = 3.28 × 10-4; rs10946398, OR 1.43, p = 6.21 × 10-5; rs7754840, OR 1.43, p = 6.33 × 10-5; rs35612982, OR 1.34, p = 0.0010; and rs10440833, OR 1.32, p = 0.0018) and T2D risk among the Han population from Northwest China. We also found that genetic variants of CDKAL1 could modify the risk of T2D that might be influenced by age, BMI and the status of smoking and drinking. Besides, rs35612982-CT (p = 0.038) and rs10440833-AT (p = 0.044) genotypes were higher insulin level. CONCLUSION CDKAL1 rs35612982 (C/T) polymorphism, as a new polymorphism, was associated with the increased risk of T2D in the Han Chinese population. Moreover, the contribution of CDKAL1 polymorphisms to T2D risk seems to be associated with age, gender, BMI, smoking and drinking.
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Affiliation(s)
- Yanni Tian
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Xu
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ting Huang
- Department of Nursing, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jiaqi Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei Zhang
- Department of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University Xi'an, Xi'an, China
| | - Wei Song
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huan Chen
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Pan Huang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shujun Yang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lu Wang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xin He
- Department of Endocrinology, Xi'an Aerospace General Hospital, Xi'an, China
| | - Lin Wang
- Department of Endocrinology, Xi'an Gaoxin Hospital, Xi'an, China
| | - Wei Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China,
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24
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Chen J, Sun M, Adeyemo A, Pirie F, Carstensen T, Pomilla C, Doumatey AP, Chen G, Young EH, Sandhu M, Morris AP, Barroso I, McCarthy MI, Mahajan A, Wheeler E, Rotimi CN, Motala AA. Genome-wide association study of type 2 diabetes in Africa. Diabetologia 2019; 62:1204-1211. [PMID: 31049640 PMCID: PMC6560001 DOI: 10.1007/s00125-019-4880-7] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 03/22/2019] [Indexed: 02/02/2023]
Abstract
AIMS/HYPOTHESIS Genome-wide association studies (GWAS) for type 2 diabetes have uncovered >400 risk loci, primarily in populations of European and Asian ancestry. Here, we aimed to discover additional type 2 diabetes risk loci (including African-specific variants) and fine-map association signals by performing genetic analysis in African populations. METHODS We conducted two type 2 diabetes genome-wide association studies in 4347 Africans from South Africa, Nigeria, Ghana and Kenya and meta-analysed both studies together. Likely causal variants were identified using fine-mapping approaches. RESULTS The most significantly associated variants mapped to the widely replicated type 2 diabetes risk locus near TCF7L2 (p = 5.3 × 10-13). Fine-mapping of the TCF7L2 locus suggested one type 2 diabetes association signal shared between Europeans and Africans (indexed by rs7903146) and a distinct African-specific signal (indexed by rs17746147). We also detected one novel signal, rs73284431, near AGMO (p = 5.2 × 10-9, minor allele frequency [MAF] = 0.095; monomorphic in most non-African populations), distinct from previously reported signals in the region. In analyses focused on 100 published type 2 diabetes risk loci, we identified 21 with shared causal variants in African and non-African populations. CONCLUSIONS/INTERPRETATION These results demonstrate the value of performing GWAS in Africans, provide a resource to larger consortia for further discovery and fine-mapping and indicate that additional large-scale efforts in Africa are warranted to gain further insight in to the genetic architecture of type 2 diabetes.
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Affiliation(s)
- Ji Chen
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Meng Sun
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Heath, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA
| | - Fraser Pirie
- Department of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, 4013, South Africa
| | - Tommy Carstensen
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Cristina Pomilla
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Heath, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Heath, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA
| | - Elizabeth H Young
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Manjinder Sandhu
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Andrew P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Inês Barroso
- Wellcome Sanger Institute, Hinxton, Cambridge, UK
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK.
| | - Eleanor Wheeler
- Wellcome Sanger Institute, Hinxton, Cambridge, UK.
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
| | - Charles N Rotimi
- Center for Research on Genomics and Global Heath, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA.
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, 4013, South Africa.
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25
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Zhang T, Qi Z, Wang H, Ding S. Adeno-Associated Virus-Mediated Knockdown of SLC16A11 Improves Glucose Tolerance and Hepatic Insulin Signaling in High Fat Diet-Fed Mice. Exp Clin Endocrinol Diabetes 2019; 129:104-111. [PMID: 31185508 DOI: 10.1055/a-0840-3330] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND SLC16A11, a member of the SLC16 family, is associated with lipid metabolism, causing increased intracellular triacylglycerol (TAG) levels. In the current study, our primary goal was to determine if an SLC16A11 knockdown would improve glucose tolerance and hepatic insulin signaling in high fat diet (HFD)-fed mice. Additionally, the mechanism for exercise-improved insulin sensitivity remains unclear, and there is no mechanistic insight into SLC16A11's role in insulin sensitivity under exercise stress. Therefore, we also examined the impact of endurance exercise on the abundance of SLC16A11. METHODS C57BL/6 J male mice were fed either regular chow (Control) or HFD for 8 weeks and then injected with adeno-associated virus (AAV). Plasma parameters, tissue lipid contents, glucose tolerance, and expression profiles of hepatic insulin signaling were detected. Also, other mice were divided randomly into sedentary and exercise groups. We assessed hepatic expression of SLC16A11 after 8 weeks of endurance exercise. RESULTS 1) Hepatic SLC16A11 expression was greater in HFD-fed mice compared to Control mice. 2) AAV-mediated knockdown of SLC16A11 improved glucose tolerance, prevented TAG accumulation in serum and liver, and increased phosphorylation of protein kinase B (Akt) and glycogen synthesis kinase-3β (GSK3β) in HFD-fed mice. 3) Endurance exercise decreased hepatic SLC16A11 expression. CONCLUSIONS Inactivation of SLC16A11, which is robustly induced by HFD, improved glucose tolerance and hepatic insulin signaling, independent of body weight, but related to TAG. Additionally, SLC16A11 might mediate the health benefits of endurance exercise.
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Affiliation(s)
- Tan Zhang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention, Ministry of Education, East China Normal University, Shanghai, China.,College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Zhengtang Qi
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention, Ministry of Education, East China Normal University, Shanghai, China.,College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Haiyan Wang
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention, Ministry of Education, East China Normal University, Shanghai, China.,College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Shuzhe Ding
- Key Laboratory of Adolescent Health Assessment and Exercise Intervention, Ministry of Education, East China Normal University, Shanghai, China.,College of Physical Education and Health, East China Normal University, Shanghai, China
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Goto A, Yamaji T, Sawada N, Momozawa Y, Kamatani Y, Kubo M, Shimazu T, Inoue M, Noda M, Tsugane S, Iwasaki M. Diabetes and cancer risk: A Mendelian randomization study. Int J Cancer 2019; 146:712-719. [PMID: 30927373 PMCID: PMC6916579 DOI: 10.1002/ijc.32310] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 03/03/2019] [Accepted: 03/13/2019] [Indexed: 12/28/2022]
Abstract
Earlier cohort studies using conventional regression models have consistently shown an increased cancer risk among individuals with type 2 diabetes. However, reverse causality and residual confounding due to common risk factors could exist, and it remains unclear whether diabetes per se contributes to cancer development. Mendelian randomization analyses might clarify the true association between diabetes and cancer risk. We conducted a case-cohort study with 10,536 subcohort subjects and 3,541 newly diagnosed cancer cases derived from 32,949 eligible participants aged 40-69 years within the Japan Public Health Center-based Prospective Study. With 29 known type 2 diabetes susceptibility variants, we used an inverse variance-weighted method to estimate hazard ratios for the associations of diabetes with risks of total and site-specific cancers. The hazard ratios of cancer per doubling of the probability of diabetes were 1.03 (95% confidence interval [CI], 0.92-1.15) overall, 1.08 (95% CI: 0.73-1.59) for the pancreas, 0.80 (95% CI: 0.57-1.14) for the liver and 0.90 (95% CI: 0.74-1.10) for the colorectum. Additional analyses, using publicly available large-scale genome-wide association study data on colorectal cancer in Japan, resulted in a narrower CI (hazard ratio: 1.00; 95% CI: 0.93-1.07). In this prospective Mendelian randomization study with a large number of incident cancer cases, we found no strong evidence to support associations between diabetes and overall and site-specific cancer risks. Our findings suggest that there is little evidence to support the genetic role of type 2 diabetes in cancer development in the Japanese population.
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Affiliation(s)
- Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Yukihide Momozawa
- Laboratory for Genotyping DevelopmentRIKEN Center for Integrative Medical SciencesYokohamaJapan
| | - Yoichiro Kamatani
- Laboratory for Genotyping DevelopmentRIKEN Center for Integrative Medical SciencesYokohamaJapan
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical SciencesYokohamaJapan
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Manami Inoue
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Mitsuhiko Noda
- Department of Endocrinology and DiabetesSaitama Medical UniversitySaitamaJapan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
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Current Progress in Pharmacogenetics of Second-Line Antidiabetic Medications: Towards Precision Medicine for Type 2 Diabetes. J Clin Med 2019; 8:jcm8030393. [PMID: 30901912 PMCID: PMC6463061 DOI: 10.3390/jcm8030393] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 03/15/2019] [Accepted: 03/18/2019] [Indexed: 12/17/2022] Open
Abstract
Precision medicine is a scientific and medical practice for personalized therapy based on patients’ individual genetic, environmental, and lifestyle characteristics. Pharmacogenetics and pharmacogenomics are also rapidly developing and expanding as a key element of precision medicine, in which the association between individual genetic variabilities and drug disposition and therapeutic responses are investigated. Type 2 diabetes (T2D) is a chronic metabolic disorder characterized by hyperglycemia mainly associated with insulin resistance, with the risk of clinically important cardiovascular, neurological, and renal complications. The latest consensus report from the American Diabetes Association and European Association for the Study of Diabetes (ADA-EASD) on the management of T2D recommends preferential use of glucagon-like peptide-1 (GLP-1) receptor agonists, sodium-glucose cotransporter-2 (SGLT2) inhibitors, and some dipeptidyl peptidase-4 (DPP-4) inhibitors after initial metformin monotherapy for diabetic patients with established atherosclerotic cardiovascular or chronic kidney disease, and with risk of hypoglycemia or body weight-related problems. In this review article, we summarized current progress on pharmacogenetics of newer second-line antidiabetic medications in clinical practices and discussed their therapeutic implications for precision medicine in T2D management. Several biomarkers associated with drug responses have been identified from extensive clinical pharmacogenetic studies, and functional variations in these genes have been shown to significantly affect drug-related glycemic control, adverse reactions, and risk of diabetic complications. More comprehensive pharmacogenetic research in various clinical settings will clarify the therapeutic implications of these genes, which may be useful tools for precision medicine in the treatment and prevention of T2D and its complications.
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Shah UJ, Xie W, Flyvbjerg A, Nolan JJ, Højlund K, Walker M, Relton CL, Elliott HR. Differential methylation of the type 2 diabetes susceptibility locus KCNQ1 is associated with insulin sensitivity and is predicted by CpG site specific genetic variation. Diabetes Res Clin Pract 2019; 148:189-199. [PMID: 30641161 PMCID: PMC6395844 DOI: 10.1016/j.diabres.2019.01.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 11/28/2018] [Accepted: 01/04/2019] [Indexed: 01/02/2023]
Abstract
AIMS Epigenetic mechanisms regulate gene expression and may influence the pathogenesis of type 2 diabetes through the loss of insulin sensitivity. The aims of this study were to measure variation in DNA methylation at the type 2 diabetes locus KCNQ1 and assess its relationship with metabolic measures and with genotype. METHODS DNA methylation from whole blood DNA was quantified using pyrosequencing at 5 CpG sites at the KCNQ1 locus in 510 individuals without diabetes from the 'Relationship between Insulin Sensitivity and Cardiovascular disease' (RISC) cohort. Genotype data was analysed at the same locus in 1119 individuals in the same cohort. Insulin sensitivity was assessed by euglycaemic-hyperinsulinaemic clamp. RESULTS DNA methylation at the KCNQ1 locus was inversely associated with insulin sensitivity and serum adiponectin. This association was driven by a methylation-altering Single Nucleotide Polymorphism (SNP) (rs231840) which ablated a methylation site and reduced methylation levels. A second SNP (rs231357), in weak Linkage Disequilibrium (LD) with rs231840, was also associated with insulin sensitivity and DNA methylation. These SNPs have not been previously reported to be associated with type 2 diabetes risk or insulin sensitivity. CONCLUSION Evidence indicates that genetic and epigenetic determinants at the KCNQ1 locus influence insulin sensitivity.
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Affiliation(s)
- Ushma J Shah
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; MedGenome Labs Ltd., Bangalore 560 099, India
| | - Weijia Xie
- Peninsula School of Medicine and Dentistry, Exeter EX2 5DW, UK
| | - Allan Flyvbjerg
- Steno Diabetes Center Copenhagen, The Capital Region of Denmark and University of Copenhagen, Copenhagen, Denmark
| | - John J Nolan
- European Association for the Study of Diabetes (EASD), 40591 Düsseldorf, Germany
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, DK-5000, Denmark
| | - Mark Walker
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK
| | - Caroline L Relton
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Hannah R Elliott
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.
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29
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Huang Q, Du J, Merriman C, Gong Z. Genetic, Functional, and Immunological Study of ZnT8 in Diabetes. Int J Endocrinol 2019; 2019:1524905. [PMID: 30936916 PMCID: PMC6413397 DOI: 10.1155/2019/1524905] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 11/14/2018] [Accepted: 12/05/2018] [Indexed: 12/11/2022] Open
Abstract
Zinc level in the body is finely regulated to maintain cellular function. Dysregulation of zinc metabolism may induce a variety of diseases, e.g., diabetes. Zinc participates in insulin synthesis, storage, and secretion by functioning as a "cellular second messenger" in the insulin signaling pathway and glucose homeostasis. The highest zinc concentration is in the pancreas islets. Zinc accumulation in cell granules is manipulated by ZnT8, a zinc transporter expressed predominately in pancreatic α and β cells. A common ZnT8 gene (SLC30A8) polymorphism increases the risk of type 2 diabetes mellitus (T2DM), and rare mutations may present protective effects. In type 1 diabetes mellitus (T1DM), autoantibodies show specificity for binding two variants of ZnT8 (R or W at amino acid 325) dictated by a polymorphism in SLC30A8. In this review, we summarize the structure, feature, functions, and polymorphisms of ZnT8 along with its association with diabetes and explore future study directions.
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Affiliation(s)
- Qiong Huang
- Department of Pharmacy, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Jie Du
- Department of Pharmacy, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Chengfeng Merriman
- Department of Physiology, Johns Hopkins School of Medicine, 725 North Wolfe Street, Baltimore, MD 21205, USA
| | - Zhicheng Gong
- Department of Pharmacy, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
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Witka BZ, Oktaviani DJ, Marcellino M, Barliana MI, Abdulah R. Type 2 Diabetes-Associated Genetic Polymorphisms as Potential Disease Predictors. Diabetes Metab Syndr Obes 2019; 12:2689-2706. [PMID: 31908510 PMCID: PMC6927489 DOI: 10.2147/dmso.s230061] [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: 09/06/2019] [Accepted: 11/19/2019] [Indexed: 12/18/2022] Open
Abstract
Diabetes is a major cause of mortality worldwide. There are several types of diabetes, with type 2 diabetes mellitus (T2DM) being the most common. Many factors, including environmental and genetic factors, are involved in the etiology of the disease. Numerous studies have reported the role of genetic polymorphisms in the initiation and development of T2DM. While genome-wide association studies have identified around more than 200 susceptibility loci, it remains unclear whether these loci are correlated with the pathophysiology of the disease. The present review aimed to elucidate the potential genetic mechanisms underlying T2DM. We found that some genetic polymorphisms were related to T2DM, either in the form of single-nucleotide polymorphisms or direct amino acid changes in proteins. These polymorphisms are potential predictors for the management of T2DM.
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Affiliation(s)
- Beska Z Witka
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Dede J Oktaviani
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Marcellino Marcellino
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Melisa I Barliana
- Departement of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
- Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Jatinangor, Indonesia
- Correspondence: Melisa I Barliana Department of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jl. Raya Bandung Sumedang KM. 21, Jatinangor45363, Indonesia Email
| | - Rizky Abdulah
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia
- Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Jatinangor, Indonesia
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Giacconi R, Malavolta M, Chiodi L, Boccoli G, Costarelli L, Bonfigli AR, Galeazzi R, Piacenza F, Basso A, Gasparini N, Nisi L, Testa R, Provinciali M. ZnT8 Arg325Trp polymorphism influences zinc transporter expression and cytokine production in PBMCs from patients with diabetes. Diabetes Res Clin Pract 2018; 144:102-110. [PMID: 30142362 DOI: 10.1016/j.diabres.2018.08.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/13/2018] [Accepted: 08/01/2018] [Indexed: 12/30/2022]
Abstract
AIMS ZnT8 Arg325Trp polymorphism has been associated with type 2 diabetes (T2DM) susceptibility. The Arg-325 risk variant shows accelerated zinc (Zn) transport kinetic and reduced glucose-stimulated insulin secretion in pancreatic cells. However, it remains unexplored the role of Znt8 polymorphism in the regulation of Zn homeostasis and inflammatory response in peripheral blood mononuclear cells (PBMCs) from T2DM patients. METHODS AND RESULTS A total of 556 healthy controls and 413 T2DM patients were genotyped for ZnT8 Arg325Trp polymorphism confirming the association of Arg-325 variant with an increased T2DM risk (OR = 1.35 95% C.I: 1.10-1.66; p = 0.0044). Moreover, PBMCs from Arg/Arg T2DM subjects showed increased intracellular free Zn, higher gene expression of Metallothioneins, Znt1, Znt8, Zip2 genes, and reduced Znt4 and Znt7. Higher release of IL-1α, IL-1β, IFN-γ, IL-12p70 and TNF-α and a reduced IL-10 secretion after lipopolysaccharide (LPS) stimulation were observed in PBMCs from Arg/Arg T2DM carriers as compared to subjects with the Trp variant. CONCLUSIONS Our data provide evidence of a substantial different Zn homeostasis regulation between Znt8 Arg-325 and Trp-325 carriers in PBMCs from T2DM patients. Moreover, Znt8 Arg-325 risk variant shows an enhanced inflammatory response upon LPS stimulation that might aggravate insulin resistance and the progression of diabetes cardiovascular complications.
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Affiliation(s)
- R Giacconi
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy.
| | - M Malavolta
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - L Chiodi
- Department of General and Vascular Surgery, INRCA-IRCCS, Ancona, Italy
| | - G Boccoli
- Department of General and Vascular Surgery, INRCA-IRCCS, Ancona, Italy
| | - L Costarelli
- Clinical Laboratory & Molecular Diagnostics, INRCA-IRCCS, Ancona, Italy
| | - A R Bonfigli
- Scientific Direction, INRCA-IRCCS National Institute, Ancona, Italy
| | - R Galeazzi
- Clinical Laboratory & Molecular Diagnostics, INRCA-IRCCS, Ancona, Italy
| | - F Piacenza
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - A Basso
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - N Gasparini
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - L Nisi
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
| | - R Testa
- Clinical Laboratory & Molecular Diagnostics, INRCA-IRCCS, Ancona, Italy
| | - M Provinciali
- Advanced Technology Center for Aging Research, Scientific and Technological Pole, Italian National Institute of Health and Science on Aging (INRCA), Ancona, Italy
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Soltani G, Hatefi Z, Salehi AR, Khosravi S, Ghiasi MR, Teke K, Aminorroaya A, Salehi R. Pharmacogenomics of Sulfonylureas Response in Relation to rs7754840 Polymorphisms in Cyclin-Dependent Kinase 5 Regulatory Subunit-associated Protein 1-like (CDKAL1) Gene in Iranian Type 2 Diabetes Patients. Adv Biomed Res 2018; 7:96. [PMID: 30050884 PMCID: PMC6036778 DOI: 10.4103/abr.abr_144_17] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background: Sulfonylureas are important drugs of choice for treatment of type 2 diabetes mellitus (T2DM). It is suggested that differential response to sulfonylureas from T2DM patients is under influence of single nucleotide polymorphisms in some of the target genes. In spite of favorable therapeutic effects, sulfonylureas are associated with some adverse side effects such as microvascular complications and stroke, especially in older patients. Therefore, for T2DM patients who are getting less benefit, sulfonylureas should be avoided. Cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like (CDKAL1) gene variation is reported to be associated with sulfonylureas effectiveness. Due to the inconsistency of available data regarding association of rs7754840 in CDKAL1 gene with sulfonylureas response in T2DM patients, the present study is conducted. Materials and Methods: Fifty-one diabetic patients sensitive to sulfonylureas and 51 patients resistant to sulfonylureas treatment were recruited to this study. After extraction of DNA from patients' peripheral blood samples, rs7754840 single-nucleotide polymorphism was genotyped by polymerase chain reaction-restriction fragment length polymorphism assay using MaeII (Tail) restriction enzyme. Results: Frequency of G allele in resistant group was more than sensitive group (71, 6% vs. 57, 8%). Regression analysis was shown significant association between GG genotype and higher risk of resistance to sulfonylureas treatment (odds ratio = 2.250 [95% confidential intervals: 1.010–5.012]; P = 0.046). Conclusion: Our data confirmed that genotypes of rs7754840 are significantly associated with sulfonylureas treatment response. rs7754840 in CDKAL1 gene in combination with other clinicopathological findings would help to move towards personalized therapy of T2DM patients.
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Affiliation(s)
- Goljahan Soltani
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Zahra Hatefi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Ahmad Reza Salehi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Sharifeh Khosravi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Moosa Rahimi Ghiasi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
| | - Keimer Teke
- Iranian Blood Transfusion Organization Research Centre, Tehran, Iran
| | - Ashraf Aminorroaya
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Rasoul Salehi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Tehran, Iran
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Angelousi A, Kassi E, Nasiri-Ansari N, Weickert MO, Randeva H, Kaltsas G. Clock genes alterations and endocrine disorders. Eur J Clin Invest 2018; 48:e12927. [PMID: 29577261 DOI: 10.1111/eci.12927] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Accepted: 03/19/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Various endocrine signals oscillate over the 24-hour period and so does the responsiveness of target tissues. These daily oscillations do not occur solely in response to external stimuli but are also under the control of an intrinsic circadian clock. DESIGN We searched the PubMed database to identify studies describing the associations of clock genes with endocrine diseases. RESULTS Various human single nucleotide polymorphisms of brain and muscle ARNT-like 1 (BMAL1) and Circadian Locomotor Output Cycles Kaput (CLOCK) genes exhibited significant associations with type 2 diabetes mellitus. ARNTL2 gene expression and upregulation of BMAL1 and PER1 were associated with the development of type 1 diabetes mellitus. Thyroid hormones modulated PER2 expression in a tissue-specific way, whereas BMAL1 regulated the expression of type 2 iodothyronine deiodinase in specific tissues. Adrenal gland and adrenal adenoma expressed PER1, PER2, CRY2, CLOCK and BMAL1 genes. Adrenal sensitivity to adrenocorticotrophin was also affected by circadian oscillations. A significant correlation between the expression of propio-melanocorticotrophin and PER 2, as well as between prolactin and CLOCK, was found in corticotroph and lactosomatotroph cells, respectively, in the pituitary. Clock genes and especially BMAL1 showed an important role in fertility, whereas oestradiol and androgens exhibited tissue-specific effects on clock gene expression. Metabolic disorders were also associated with circadian dysregulation according to studies in shift workers. CONCLUSIONS Clock genes are associated with various endocrine disorders through complex mechanisms. However, data on humans are scarce. Moreover, clock genes exhibit a tissue-specific expression representing an additional level of regulation. Their specific role in endocrine disorders and their potential implications remain to be further clarified.
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Affiliation(s)
- Anna Angelousi
- Department of Pathophysiology, Endocrine Unit, Laiko Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Eva Kassi
- Department of Biochemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Narjes Nasiri-Ansari
- Department of Biochemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Martin O Weickert
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
- Division of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, UK
- Centre for Applied Biological & Exercise Sciences, Coventry University, Coventry, UK
| | - Harpal Randeva
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
- Division of Translational and Experimental Medicine, Warwick Medical School, University of Warwick, Coventry, UK
- Centre for Applied Biological & Exercise Sciences, Coventry University, Coventry, UK
| | - Gregory Kaltsas
- 1st Department of Propaedeutic Internal Medicine, Medical School, Laikon Hospital, National and Kapodistrian University of Athens, Athens, Greece
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Goto A, Noda M, Goto M, Yasuda K, Mizoue T, Yamaji T, Sawada N, Iwasaki M, Inoue M, Tsugane S. Predictive performance of a genetic risk score using 11 susceptibility alleles for the incidence of Type 2 diabetes in a general Japanese population: a nested case-control study. Diabet Med 2018; 35:602-611. [PMID: 29444352 DOI: 10.1111/dme.13602] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2018] [Indexed: 01/05/2023]
Abstract
AIMS To assess the predictive ability of a genetic risk score for the incidence of Type 2 diabetes in a general Japanese population. METHODS This prospective case-control study, nested within a Japan Public Health Centre-based prospective study, included 466 participants with incident Type 2 diabetes over a 5-year period (cases) and 1361 control participants, as well as 1463 participants with existing diabetes and 1463 control participants. Eleven susceptibility single nucleotide polymorphisms, identified through genome-wide association studies and replicated in Japanese populations, were analysed. RESULTS Most single nucleotide polymorphism loci showed directionally consistent associations with diabetes. From the combined samples, one single nucleotide polymorphism (rs2206734 at CDKAL1) reached a genome-wide significance level (odds ratio 1.28, 95% CI 1.18-1.40; P = 1.8 × 10-8 ). Three single nucleotide polymorphisms (rs2206734 in CDKAL1, rs2383208 in CDKN2A/B, and rs2237892 in KCNQ1) were nominally significantly associated with incident diabetes. Compared with the lowest quintile of the total number of risk alleles, the highest quintile had a higher odds of incident diabetes (odds ratio 2.34, 95% CI 1.59-3.46) after adjusting for conventional risk factors such as age, sex and BMI. The addition to the conventional risk factor-based model of a genetic risk score using the 11 single nucleotide polymorphisms significantly improved predictive performance; the c-statistic increased by 0.021, net reclassification improved by 6.2%, and integrated discrimination improved by 0.003. CONCLUSIONS Our prospective findings suggest that the addition of a genetic risk score may provide modest but significant incremental predictive performance beyond that of the conventional risk factor-based model without biochemical markers.
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Affiliation(s)
- A Goto
- Epidemiology and Prevention Group, Centre for Public Health Sciences, National Cancer Centre, Tokyo
| | - M Noda
- Department of Endocrinology and Diabetes, Saitama Medical University, Saitama
| | - M Goto
- Department of Diabetes and Endocrinology, JCHO Tokyo Yamate Medical Centre, Tokyo
| | - K Yasuda
- Department of Metabolic Disorder, Diabetes Research Centre, National Centre for Global Health and Medicine, Tokyo, Japan
| | - T Mizoue
- Department of Epidemiology and Prevention, National Centre for Global Health and Medicine, Tokyo, Japan
| | - T Yamaji
- Epidemiology and Prevention Group, Centre for Public Health Sciences, National Cancer Centre, Tokyo
| | - N Sawada
- Epidemiology and Prevention Group, Centre for Public Health Sciences, National Cancer Centre, Tokyo
| | - M Iwasaki
- Epidemiology and Prevention Group, Centre for Public Health Sciences, National Cancer Centre, Tokyo
| | - M Inoue
- Epidemiology and Prevention Group, Centre for Public Health Sciences, National Cancer Centre, Tokyo
| | - S Tsugane
- Epidemiology and Prevention Group, Centre for Public Health Sciences, National Cancer Centre, Tokyo
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35
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Noury AE, Azmy O, Alsharnoubi J, Salama S, Okasha A, Gouda W. Variants of CDKAL1 rs7754840 (G/C) and CDKN2A/2B rs10811661 (C/T) with gestational diabetes: insignificant association. BMC Res Notes 2018; 11:181. [PMID: 29544538 PMCID: PMC5856327 DOI: 10.1186/s13104-018-3288-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 03/09/2018] [Indexed: 12/20/2022] Open
Abstract
Objectives Pathophysiological similarity exists between gestational diabetes mellitus (GDM) and type 2 diabetes mellitus with common genetic origin. Genetic liability for GDM in our population is still not researched. The goal was to reveal the genotypic and allele frequency differences of 2 single nucleotide polymorphisms (SNPs) namely, CDKAL1 (rs7754840) and CDKN2A/2B (rs10811661) between GDM pregnancies and normal pregnancies. We assessed them by real time polymerase chain reaction using Taqman® allelic discrimination assays. We included 47 GDM pregnant subjects and 51 normal glucose tolerance (NGT) pregnant women as controls. Results The genotype frequencies in the GDM group and the NGT group of rs7754840-GG/GC/CC were 6.4/15.7% (3/8), 55.3/45.1% (26/23) and 38.3/39.2% (18/20) respectively. Also, those of rs10811661-CC/CT/TT were 74.5/14.9/4.3% (38/7/2) and 80.9/19.6/5.9% (38/10/3) respectively. The allele frequencies in the GDM group and the NGT group of C/G and T/C were 66/34% (62/32), 61.8/38.2% (63/39) and 11.7/88.3% (11/83), 15.7/84.3% (16/86) respectively. There were no statistical differences between the two groups in allele frequencies and genotype frequencies (all P > 0.05). Non-significant association was seen in the two SNPs of CDKAL1 and CDKN2A/B genes with GDM. Further studies are essential to validate data.
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Affiliation(s)
- Amr El Noury
- National Institute of Laser Enhanced Science, Cairo University, Cairo, Egypt
| | - Osama Azmy
- Reproductive Health Department, National Research Centre, El Buhouth St., Dokki, Giza, 12622, Egypt
| | - Jehan Alsharnoubi
- National Institute of Laser Enhanced Science, Cairo University, Cairo, Egypt
| | - Sameh Salama
- Reproductive Health Department, National Research Centre, El Buhouth St., Dokki, Giza, 12622, Egypt
| | - Ahmed Okasha
- Reproductive Health Department, National Research Centre, El Buhouth St., Dokki, Giza, 12622, Egypt.
| | - Weaam Gouda
- Biochemistry Department, National Research Centre, El Buhouth St., Dokki, Giza, 12622, Egypt
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A common variant within the HNF1B gene is associated with overall survival of multiple myeloma patients: results from the IMMEnSE consortium and meta-analysis. Oncotarget 2018; 7:59029-59048. [PMID: 27437873 PMCID: PMC5312293 DOI: 10.18632/oncotarget.10665] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Accepted: 05/19/2016] [Indexed: 01/01/2023] Open
Abstract
Diabetogenic single nucleotide polymorphisms (SNPs) have recently been associated with multiple myeloma (MM) risk but their impact on overall survival (OS) of MM patients has not been analysed yet. In order to investigate the impact of 58 GWAS-identified variants for type 2 diabetes (T2D) on OS of patients with MM, we analysed genotyping data of 936 MM patients collected by the International Multiple Myeloma rESEarch (IMMENSE) consortium and an independent set of 700 MM patients recruited by the University Clinic of Heidelberg. A meta-analysis of the cox regression results of the two sets showed that rs7501939 located in the HNF1B gene negatively impacted OS (HRRec= 1.44, 95% CI = 1.18-1.76, P = 0.0001). The meta-analysis also showed a noteworthy gender-specific association of the SLC30A8rs13266634 SNP with OS. The presence of each additional copy of the minor allele at rs13266634 was associated with poor OS in men whereas no association was seen in women (HRMen-Add = 1.32, 95% CI 1.13-1.54, P = 0.0003). In conclusion, these data suggest that the HNF1Brs7501939 SNP confers poor OS in patients with MM and that a SNP in SLC30A8 affect OS in men.
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Sun R, Liu JP, Gao C, Xiong YY, Li M, Wang YP, Su YW, Lin M, Jiang AL, Xiong LF, Xie Y, Feng JP. Two variants on T2DM susceptible gene HHEX are associated with CRC risk in a Chinese population. Oncotarget 2018; 7:29770-9. [PMID: 27105501 PMCID: PMC5045432 DOI: 10.18632/oncotarget.8865] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2015] [Accepted: 03/28/2016] [Indexed: 12/15/2022] Open
Abstract
Increasing amounts of evidence has demonstrated that T2DM (Type 2 Diabetes Mellitus) patients have increased susceptibility to CRC (colorectal cancer). As HHEX is a recognized susceptibility gene in T2DM, this work was focused on two SNPs in HHEX, rs1111875 and rs7923837, to study their association with CRC. T2DM patients without CRC (T2DM-only, n=300), T2DM with CRC (T2DM/CRC, n=135), cancer-free controls (Control, n=570), and CRC without T2DM (CRC-only, n=642) cases were enrolled. DNA samples were extracted from the peripheral blood leukocytes of the patients and sequenced by direct sequencing. The χ2 test was used to compare categorical data. We found that in T2DM patients, rs1111875 but not the rs7923837 in HHEX gene was associated with the occurrence of CRC (p= 0.006). for rs1111875, TC/CC patients had an increased risk of CRC (p=0.019, OR=1.592, 95%CI=1.046-2.423). Moreover, our results also indicated that the two variants of HEEX gene could be risk factors for CRC in general population, independent on T2DM (p< 0.001 for rs1111875, p=0.001 for rs7923837). For rs1111875, increased risk of CRC was observed in TC or TC/CC than CC individuals (p<0.001, OR= 1.780, 95%CI= 1.385-2.287; p<0.001, OR= 1.695, 95%CI= 1.335-2.152). For rs7923837, increased CRC risk was observed in AG, GG, and AG/GG than AA individuals (p< 0.001, OR= 1.520, 95%CI= 1.200-1.924; p=0.036, OR= 1.739, 95%CI= 0.989-3.058; p< 0.001, OR= 1.540, 95%CI= 1.225-1.936). This finding highlights the potentially functional alteration with HHEX rs1111875 and rs7923837 polymorphisms may increase CRC susceptibility. Risk effects and the functional impact of these polymorphisms need further validation.
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Affiliation(s)
- Rui Sun
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jian-Ping Liu
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Gao
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying-Ying Xiong
- Department of Clinical Laboratory, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Li
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ya-Ping Wang
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan-Wei Su
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mei Lin
- Department of Endocrinology, Wuhan PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - An-Li Jiang
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ling-Fan Xiong
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Xie
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Jue-Ping Feng
- Department of Oncology, PuAi Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Johnson SC. Nutrient Sensing, Signaling and Ageing: The Role of IGF-1 and mTOR in Ageing and Age-Related Disease. Subcell Biochem 2018; 90:49-97. [PMID: 30779006 DOI: 10.1007/978-981-13-2835-0_3] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Nutrient signaling through insulin/IGF-1 was the first pathway demonstrated to regulate ageing and age-related disease in model organisms. Pharmacological or dietary interventions targeting nutrient signaling pathways have been shown to robustly attenuate ageing in many organisms. Caloric restriction, the most widely studied longevity promoting intervention, works through multiple nutrient signaling pathways, while inhibition of mTOR through treatment with rapamycin reproducibly delays ageing and disease through specific inhibition of the mTOR complexes. Although the benefits of reduced insulin/IGF-1 in lifespan and health are well documented in model organisms, defining the precise role of the IGF-1 in human ageing and age-related disease has proven more difficult. Association studies provide some insight but also reveal paradoxes. Low serum IGF-1 predicts longevity, but IGF-1 decreases with age and IGF-1 therapy benefits some of age-related pathologies. Circulating IGF-1 has been associated both positively and negatively with risk of age-related diseases in humans, and in some cases both activation and inhibition of IGF-1 signaling have provided benefit in animal models of the same diseases. Interventions designed modulate the nutrient sensing signaling pathways positively or negatively are already available for clinical use, highlighting the need for a clear understanding of the role of nutrient signaling in ageing and age-related disease. This chapter examines data from model organisms and human genetic association studies, with a special emphasis on IGF-1 and mTOR, and discusses potential models for resolving the paradoxes surrounding IGF-1 data.
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Affiliation(s)
- Simon C Johnson
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA.
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Szabo M, Máté B, Csép K, Benedek T. Genetic Approaches to the Study of Gene Variants and Their Impact on the Pathophysiology of Type 2 Diabetes. Biochem Genet 2017; 56:22-55. [DOI: 10.1007/s10528-017-9827-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 10/06/2017] [Indexed: 12/18/2022]
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Sikhayeva N, Iskakova A, Saigi-Morgui N, Zholdybaeva E, Eap CB, Ramanculov E. Association between 28 single nucleotide polymorphisms and type 2 diabetes mellitus in the Kazakh population: a case-control study. BMC MEDICAL GENETICS 2017; 18:76. [PMID: 28738793 PMCID: PMC5525290 DOI: 10.1186/s12881-017-0443-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 07/13/2017] [Indexed: 02/06/2023]
Abstract
Background We evaluated the associations between single nucleotide polymorphisms and different clinical parameters related to type 2 diabetes mellitus (T2DM), obesity risk, and metabolic syndrome (MS) in a Kazakh cohort. Methods A total of 1336 subjects, including 408 T2DM patients and 928 control subjects, were recruited from an outpatient clinic and genotyped for 32 polymorphisms previously associated with T2DM and obesity-related phenotypes in other ethnic groups. For association studies, the chi-squared test or Fisher’s exact test for binomial variables were used. Logistic regression was conducted to explore associations between the studied SNPs and the risk of developing T2DM, obesity, and MS, after adjustments for age and sex. Results After excluding four SNPs due to Hardy-Weinberg disequilibrium, significant associations in age-matched cohorts were found betweenT2DM and the following SNPs: rs9939609 (FTO), rs13266634 (SLC30A8), rs7961581 (TSPAN8/LGR5), and rs1799883 (FABP2). In addition, examination of general unmatched T2DM and control cohorts revealed significant associations between T2DM and SNPsrs1799883 (FABP2) and rs9939609 (FTO). Furthermore, polymorphisms in the FTO gene were associated with increased obesity risk, whereas polymorphisms in the FTO and FABP2 genes were also associated with the risk of developing MS in general unmatched cohorts. Conclusion We confirmed associations between polymorphisms within the SLC30A8, TSPAN8/LGR5, FABP2, and FTO genes and susceptibility to T2DM in a Kazakh cohort, and revealed significant associations with anthropometric and metabolic traits. In particular, FTO and FABP2 gene polymorphisms were significantly associated with susceptibility to MS and obesity in this cohort. Electronic supplementary material The online version of this article (doi:10.1186/s12881-017-0443-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nurgul Sikhayeva
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan. .,L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.
| | - Aisha Iskakova
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan
| | - Nuria Saigi-Morgui
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly-Lausanne, Switzerland
| | - Elena Zholdybaeva
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan
| | - Chin-Bin Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly-Lausanne, Switzerland.,School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland
| | - Erlan Ramanculov
- National Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan.,L.N. Gumilyov Eurasian National University, Astana, Kazakhstan.,School of Science and Technology, Nazarbayev University, Astana, Kazakhstan
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Zarkoob H, Lewinsky S, Almgren P, Melander O, Fakhrai-Rad H. Utilization of genetic data can improve the prediction of type 2 diabetes incidence in a Swedish cohort. PLoS One 2017; 12:e0180180. [PMID: 28700623 PMCID: PMC5507496 DOI: 10.1371/journal.pone.0180180] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 06/12/2017] [Indexed: 01/21/2023] Open
Abstract
The aim of this study was to measure the impact of genetic data in improving the prediction of type 2 diabetes (T2D) in the Malmö Diet and Cancer Study cohort. The current study was performed in 3,426 Swedish individuals and utilizes of a set of genetic and environmental risk data. We first validated our environmental risk model by comparing it to both the Finnish Diabetes Risk Score and the T2D risk model derived from the Framingham Offspring Study. The area under the curve (AUC) for our environmental model was 0.72 [95% CI, 0.69–0.74], which was significantly better than both the Finnish (0.64 [95% CI, 0.61–0.66], p-value < 1 x 10−4) and Framingham (0.69 [95% CI, 0.66–0.71], p-value = 0.0017) risk scores. We then verified that the genetic data has a statistically significant positive correlation with incidence of T2D in the studied population. We also verified that adding genetic data slightly but statistically increased the AUC of a model based only on environmental risk factors (RFs, AUC shift +1.0% from 0.72 to 0.73, p-value = 0.042). To study the dependence of the results on the environmental RFs, we divided the population into two equally sized risk groups based only on their environmental risk and repeated the same analysis within each subpopulation. While there is a statistically significant positive correlation between the genetic data and incidence of T2D in both environmental risk categories, the positive shift in the AUC remains statistically significant only in the category with the lower environmental risk. These results demonstrate that genetic data can be used to increase the accuracy of T2D prediction. Also, the data suggests that genetic data is more valuable in improving T2D prediction in populations with lower environmental risk. This suggests that the impact of genetic data depends on the environmental risk of the studied population and thus genetic association studies should be performed in light of the underlying environmental risk of the population.
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Affiliation(s)
- Hadi Zarkoob
- BaseHealth Inc., Sunnyvale, California, United States of America
| | - Sarah Lewinsky
- BaseHealth Inc., Sunnyvale, California, United States of America
| | - Peter Almgren
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Malmö, Sweden
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Kommoju UJ, Samy SK, Maruda J, Irgam K, Kotla JP, Velaga L, Reddy BM. Association of CDKAL1, CDKN2A/B & HHEX gene polymorphisms with type 2 diabetes mellitus in the population of Hyderabad, India. Indian J Med Res 2017; 143:455-63. [PMID: 27377502 PMCID: PMC4928552 DOI: 10.4103/0971-5916.184303] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Background & objectives: The genome-wide association studies (GWAS) have shown an association of type 2 diabetes mellitus (T2DM) with several novel genes. We report here the findings on the pattern of genetic association of three genes (CDKAL1, CDKN2A/B and HHEX) with T2DM in the population of Hyderabad, south India. Methods: A sample of 1379 individuals (758 T2DM cases and 621 controls) from Hyderabad, India, were genotyped for five single nucleotide polymorphisms (SNPs) of CDKAL1 (rs7754840, rs7756992) CDKN2A/B (rs10811661) and HHEX (rs1111875, rs7923837) genes on Sequenom Mass Array platform. Results: The risk allele frequencies of the CDKAL1 and CDKN2A/B SNPs were relatively higher in cases than in the controls and the logistic regression analysis yielded significant odds ratios suggesting that the variant alleles conferred risk for developing T2DM in this population. The HHEX gene did not show either allelic or genotypic association with T2DM. The multivariate logistic regression analysis with reference to both alleles and genotypes of CDKAL1 SNPs showed significant association, suggesting an important role for this gene in the T2DM pathophysiology. Interpretation & conclusions: A significant association was seen of all the three SNPs of CDKAL1 and CDKN2A/B genes with T2DM but none of the two SNPs of HHEX. Further studies are required to cross-validate our findings in a relatively larger sample. It is also necessary to explore other SNPs of HHEX gene to unequivocally establish the pattern of association of this gene with T2DM in this population.
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Affiliation(s)
- Uma Jyothi Kommoju
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | - Subburaj Kadarkarai Samy
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | - Jayaraj Maruda
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | - Kumuda Irgam
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | | | - Lakshmi Velaga
- Department of Human Genetics, Andhra University, Visakhapatnam, India
| | - Battini Mohan Reddy
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
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Chen G, Zhang Z, Adebamowo SN, Liu G, Adeyemo A, Zhou Y, Doumatey AP, Wang C, Zhou J, Yan W, Shriner D, Tekola-Ayele F, Bentley AR, Jiang C, Rotimi CN. Common and rare exonic MUC5B variants associated with type 2 diabetes in Han Chinese. PLoS One 2017; 12:e0173784. [PMID: 28346466 PMCID: PMC5367689 DOI: 10.1371/journal.pone.0173784] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 02/27/2017] [Indexed: 12/17/2022] Open
Abstract
Genome-wide association studies have identified over one hundred common genetic risk variants associated with type 2 diabetes (T2D). However, most of the heritability of T2D has not been accounted for. In this study, we investigated the contribution of rare and common variants to T2D susceptibility by analyzing exome array data in 1,908 Han Chinese genotyped with Affymetrix Axiom® Exome Genotyping Arrays. Based on the joint common and rare variants analysis of 57,704 autosomal SNPs within 12,244 genes using Sequence Kernel Association Tests (SKAT), we identified significant associations between T2D and 25 variants (9 rare and 16 common) in MUC5B, p-value 1.01×10−14. This finding was replicated (p = 0.0463) in an independent sample that included 10,401 unrelated individuals. Sixty-six of 1,553 possible haplotypes based on 25 SNPs within MUC5B showed significant association with T2D (Bonferroni corrected p values < 3.2×10−5). The expression level of MUC5B is significantly higher in pancreatic tissues of persons with T2D compared to those without T2D (p-value = 5×10−5). Our findings suggest that dysregulated MUC5B expression may be involved in the pathogenesis of T2D. As a strong candidate gene for T2D, MUC5B may play an important role in the mechanisms underlying T2D etiology and its complications.
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Affiliation(s)
- Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail: (CNR); (GC)
| | | | - Sally N. Adebamowo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | | | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Yanxun Zhou
- Suizhou Central Hospital, Suizhou, Hubei, China
| | - Ayo P. Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | | | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | | | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Fasil Tekola-Ayele
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | | | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- * E-mail: (CNR); (GC)
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Huang Z, Dong M, Li J, Qiu W, Li S. Meta-Analysis of the association of IGF2BP2gene rs4402960 polymorphisms with T2DM in Asia. BIO WEB OF CONFERENCES 2017. [DOI: 10.1051/bioconf/20170802003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Criqui MH, Aboyans V, Allison MA, Denenberg JO, Forbang N, McDermott MM, Wassel CL, Wong ND. Peripheral Artery Disease and Aortic Disease. Glob Heart 2016; 11:313-326. [PMID: 27741978 PMCID: PMC5119538 DOI: 10.1016/j.gheart.2016.08.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 08/02/2016] [Accepted: 08/04/2016] [Indexed: 01/14/2023] Open
Abstract
We reviewed published MESA (Multi-Ethnic Study of Atherosclerosis) study articles concerning peripheral arterial disease, subclavian stenosis (SS), abdominal aortic calcium (AAC), and thoracic artery calcium (TAC). Important findings include, compared to non-Hispanic whites, lower ankle-brachial index (ABI) and more SS in African Americans, and higher ABI and less SS in Hispanic and Chinese Americans. Abnormal ABI and brachial pressure differences were associated with other subclinical cardiovascular disease (CVD) measures. Both very high and low ABI independently predicted increased CVD events. Looking at aortic measures, TAC and AAC were significantly associated with other subclinical CVD measures. Comparisons of AAC with coronary artery calcium (CAC) showed that both were less common in ethnic minority groups. However, although CAC was much more common in men than in women in multivariable analysis, this was not true of AAC. Also, when AAC and CAC were adjusted for each other in multivariable analysis, there was a stronger association for AAC than for CAC with CVD and total mortality.
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Affiliation(s)
- Michael H Criqui
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA; Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
| | - Victor Aboyans
- Department of Cardiology, Dupuytren University Hospital, Limoges, France; Inserm 1094, Tropical Neuroepidemiology, University of Limoges, Limoges, France
| | - Matthew A Allison
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Julie O Denenberg
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Nketi Forbang
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Mary M McDermott
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christina L Wassel
- Department of Pathology and Laboratory Medicine, College of Medicine, University of Vermont, Colchester, VT, USA
| | - Nathan D Wong
- Heart Disease Prevention Program, Division of Cardiology, University of California, Irvine, Irvine, CA, USA
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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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Kong Y, Sharma RB, Nwosu BU, Alonso LC. Islet biology, the CDKN2A/B locus and type 2 diabetes risk. Diabetologia 2016; 59:1579-93. [PMID: 27155872 PMCID: PMC4930689 DOI: 10.1007/s00125-016-3967-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 03/29/2016] [Indexed: 02/06/2023]
Abstract
Type 2 diabetes, fuelled by the obesity epidemic, is an escalating worldwide cause of personal hardship and public cost. Diabetes incidence increases with age, and many studies link the classic senescence and ageing protein p16(INK4A) to diabetes pathophysiology via pancreatic islet biology. Genome-wide association studies (GWASs) have unequivocally linked the CDKN2A/B locus, which encodes p16 inhibitor of cyclin-dependent kinase (p16(INK4A)) and three other gene products, p14 alternate reading frame (p14(ARF)), p15(INK4B) and antisense non-coding RNA in the INK4 locus (ANRIL), with human diabetes risk. However, the mechanism by which the CDKN2A/B locus influences diabetes risk remains uncertain. Here, we weigh the evidence that CDKN2A/B polymorphisms impact metabolic health via islet biology vs effects in other tissues. Structured in a bedside-to-bench-to-bedside approach, we begin with a summary of the evidence that the CDKN2A/B locus impacts diabetes risk and a brief review of the basic biology of CDKN2A/B gene products. The main emphasis of this work is an in-depth look at the nuanced roles that CDKN2A/B gene products and related proteins play in the regulation of beta cell mass, proliferation and insulin secretory function, as well as roles in other metabolic tissues. We finish with a synthesis of basic biology and clinical observations, incorporating human physiology data. We conclude that it is likely that the CDKN2A/B locus influences diabetes risk through both islet and non-islet mechanisms.
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Affiliation(s)
- Yahui Kong
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Rohit B Sharma
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Benjamin U Nwosu
- Division of Endocrinology, Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, USA
| | - Laura C Alonso
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
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Chen MM, O'Mara TA, Thompson DJ, Painter JN, Attia J, Black A, Brinton L, Chanock S, Chen C, Cheng TH, Cook LS, Crous-Bou M, Doherty J, Friedenreich CM, Garcia-Closas M, Gaudet MM, Gorman M, Haiman C, Hankinson SE, Hartge P, Henderson BE, Hodgson S, Holliday EG, Horn-Ross PL, Hunter DJ, Le Marchand L, Liang X, Lissowska J, Long J, Lu L, Magliocco AM, Martin L, McEvoy M, Olson SH, Orlow I, Pooler L, Prescott J, Rastogi R, Rebbeck TR, Risch H, Sacerdote C, Schumacher F, Wendy Setiawan V, Scott RJ, Sheng X, Shu XO, Turman C, Van Den Berg D, Wang Z, Weiss NS, Wentzensen N, Xia L, Xiang YB, Yang HP, Yu H, Zheng W, Pharoah PDP, Dunning AM, Tomlinson I, Easton DF, Kraft P, Spurdle AB, De Vivo I. GWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer. Hum Mol Genet 2016; 25:2612-2620. [PMID: 27008869 PMCID: PMC5868213 DOI: 10.1093/hmg/ddw092] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 03/14/2016] [Accepted: 03/15/2016] [Indexed: 12/20/2022] Open
Abstract
Endometrial cancer is the most common gynecological malignancy in the developed world. Although there is evidence of genetic predisposition to the disease, most of the genetic risk remains unexplained. We present the meta-analysis results of four genome-wide association studies (4907 cases and 11 945 controls total) in women of European ancestry. We describe one new locus reaching genome-wide significance (P < 5 × 10 -8) at 6p22.3 (rs1740828; P = 2.29 × 10 -8, OR = 1.20), providing evidence of an additional region of interest for genetic susceptibility to endometrial cancer.
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Affiliation(s)
- Maxine M Chen
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Tracy A O'Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, Australia
| | - Deborah J Thompson
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Jodie N Painter
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, Australia
| | - John Attia
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, NSW 2305, Australia
- School of Medicine and Public Health, Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, Newcastle, NSW 2308, Australia
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Chu Chen
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Timothy Ht Cheng
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Linda S Cook
- University of New Mexico, Albuquerque, NM 87131, USA
- Division of Cancer Care, Department of Population Health Research, Alberta Health Services, Calgary, AB, Canada
| | - Marta Crous-Bou
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Jennifer Doherty
- Geisel School of Medicine, Dartmouth College, Lebanon, NH 03755, USA
| | - Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Cancer Control Alberta, Alberta Health Services, Calgary, AB, Canada
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA 30329, USA
| | - Maggie Gorman
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | | | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst MA 01003, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Shirley Hodgson
- Department of Clinical Genetics, St George's, University of London, London SW17 0RE, UK
| | - Elizabeth G Holliday
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, NSW 2305, Australia
| | | | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | | | - Xiaolin Liang
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Jirong Long
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt - Ingram Cancer Center, Vanderbilt University Medical Center, Nashville TN 27232, USA
| | - Lingeng Lu
- Yale University School of Public Health, New Haven, CT 06510, USA
| | | | - Lynn Martin
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Mark McEvoy
- School of Medicine and Public Health, Centre for Clinical Epidemiology and Biostatistics, University of Newcastle, Newcastle, NSW 2308, Australia
| | - Sara H Olson
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Irene Orlow
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Loreall Pooler
- University of Southern California, Los Angeles, CA 90033, USA
| | - Jennifer Prescott
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Radhai Rastogi
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Timothy R Rebbeck
- Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Harvey Risch
- Yale University School of Public Health, New Haven, CT 06510, USA
| | - Carlotta Sacerdote
- Center for Cancer Prevention (CPO-Piemonte), Turin, Italy
- Human Genetic Foundation (HuGeF), Turin, Italy
| | | | | | - Rodney J Scott
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, NSW 2305, Australia
- Hunter Area Pathology Service, John Hunter Hospital, Newcastle, NSW 2305, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW 2308, Australia
| | - Xin Sheng
- University of Southern California, Los Angeles, CA 90033, USA
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt - Ingram Cancer Center, Vanderbilt University Medical Center, Nashville TN 27232, USA
| | - Constance Turman
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | | | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Noel S Weiss
- University of Washington, Seattle, WA 19024, USA
| | - Nicholas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Lucy Xia
- University of Southern California, Los Angeles, CA 90033, USA
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China and
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Herbert Yu
- University of Hawaii Cancer Center, Honolulu, HI 96813, USA
| | - Wei Zheng
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt - Ingram Cancer Center, Vanderbilt University Medical Center, Nashville TN 27232, USA
| | - Paul D P Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Ian Tomlinson
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Amanda B Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, Australia
| | - Immaculata De Vivo
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA 02115, USA,
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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Association between IGF2BP2 Polymorphisms and Type 2 Diabetes Mellitus: A Case-Control Study and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13060574. [PMID: 27294943 PMCID: PMC4924031 DOI: 10.3390/ijerph13060574] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2016] [Revised: 05/26/2016] [Accepted: 06/01/2016] [Indexed: 12/26/2022]
Abstract
Background: Genome-wide association studies (GWAS) found that IGF2BP2 rs4402960 and rs1470579 polymorphisms were associated with type 2 diabetes mellitus (T2DM) risk. Many studies have replicated this association, but yielded inconsistent results. Materials and Methods: A case-control study consisting of 461 T2DM patients and 434 health controls was conducted to detect the genetic susceptibility of IGF2BP2 in a northern Han Chinese population. A meta-analysis was to evaluate the association more precisely in Asians. Results: In the case-control study, the carriers of TT genotype at rs4402960 had a higher T2DM risk than the G carriers (TG + GG) (adjusted odd ratio (AOR) = 1.962, 95% confidence interval (95% CI) = 1.065–3.612, p = 0.031]; CC carriers at rs1470579 were more susceptible to T2DM than A carriers (CA + AA) (AOR = 2.014, 95% CI = 1.114–3.642, p = 0.021). The meta-analysis containing 36 studies demonstrated that the two polymorphisms were associated with T2DM under the allele comparison, genetic models of dominant and recessive in Asians (p < 0.05). The rs4402960 polymorphisms were significantly associated with the T2DM risk after stratification by diagnostic criterion, size of sample and average age and BMI of cases, while there’re no consistent results for rs1470579. Conclusions: Our data suggests that IGF2BP2 polymorphisms are associated with T2DM in Asian populations.
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Osada UN, Sunagawa H, Terauchi Y, Ueda S. A Common Susceptibility Gene for Type 2 Diabetes Is Associated with Drug Response to a DPP-4 Inhibitor: Pharmacogenomic Cohort in Okinawa Japan. PLoS One 2016; 11:e0154821. [PMID: 27139004 PMCID: PMC4854407 DOI: 10.1371/journal.pone.0154821] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 04/19/2016] [Indexed: 01/07/2023] Open
Abstract
We investigated the association between common type 2 susceptibility variants of CDK5 regulatory subunit associated protein 1-like 1(CDKAL1) and therapeutic responses to anti-diabetic agents among patients with type 2 diabetes. Two SNPs (rs7754840: C>G, rs7756992: A>G) were genotyped via the Taqman PCR method. A total of 798 type 2 diabetic patients were included. HbA1c reduction after use of DPP-4 inhibitors for 3 months was significantly greater in patients with a risk allele for type 2 diabetes (GG -0.4%, CG -0.5%, CC -0.8%, p = 0.02 for rs7754840 and AA -0.4%, AG -0.5%, GG -0.8%, p = 0.01 for rs7756992). Linear regression analysis showed that per allele reductions of hemoglobin A1c (HbA1c) after 3 months were -0.10% for rs7754840 (p = 0.02) and -0.13% for rs7756992 (p = 0.0008) after adjusting for clinically influential covariates such as age, sex, BMI, duration of diabetes, baseline HbA1c and concomitant anti-diabetic agents. The results suggested that common variants of CDKAL1 are associated with therapeutic response to DPP-4 inhibitors.
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Affiliation(s)
- Uru Nezu Osada
- Department of Clinical Pharmacology and Therapeutics, University of the Ryukyus Graduate School of Medicine, Okinawa Japan
- Department of Diabetes, Endocrinology and Metabolism, Saiseikai Yokohama City Nanbu Hospital, Yokohama, Japan
| | | | - Yasuo Terauchi
- Department of Endocrinology and Metabolism, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Shinichiro Ueda
- Department of Clinical Pharmacology and Therapeutics, University of the Ryukyus Graduate School of Medicine, Okinawa Japan
- * E-mail:
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