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Alur V, Raju V, Vastrad B, Vastrad C, Kavatagimath S, Kotturshetti S. Bioinformatics Analysis of Next Generation Sequencing Data Identifies Molecular Biomarkers Associated With Type 2 Diabetes Mellitus. Clin Med Insights Endocrinol Diabetes 2023; 16:11795514231155635. [PMID: 36844983 PMCID: PMC9944228 DOI: 10.1177/11795514231155635] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 01/19/2023] [Indexed: 02/23/2023] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) is the most common metabolic disorder. The aim of the present investigation was to identify gene signature specific to T2DM. Methods The next generation sequencing (NGS) dataset GSE81608 was retrieved from the gene expression omnibus (GEO) database and analyzed to identify the differentially expressed genes (DEGs) between T2DM and normal controls. Then, Gene Ontology (GO) and pathway enrichment analysis, protein-protein interaction (PPI) network, modules, miRNA (micro RNA)-hub gene regulatory network construction and TF (transcription factor)-hub gene regulatory network construction, and topological analysis were performed. Receiver operating characteristic curve (ROC) analysis was also performed to verify the prognostic value of hub genes. Results A total of 927 DEGs (461 were up regulated and 466 down regulated genes) were identified in T2DM. GO and REACTOME results showed that DEGs mainly enriched in protein metabolic process, establishment of localization, metabolism of proteins, and metabolism. The top centrality hub genes APP, MYH9, TCTN2, USP7, SYNPO, GRB2, HSP90AB1, UBC, HSPA5, and SQSTM1 were screened out as the critical genes. ROC analysis provides prognostic value of hub genes. Conclusion The potential crucial genes, especially APP, MYH9, TCTN2, USP7, SYNPO, GRB2, HSP90AB1, UBC, HSPA5, and SQSTM1, might be linked with risk of T2DM. Our study provided novel insights of T2DM into genetics, molecular pathogenesis, and novel therapeutic targets.
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Affiliation(s)
- Varun Alur
- Department of Endocrinology, J.J.M
Medical College, Davanagere, Karnataka, India
| | - Varshita Raju
- Department of Obstetrics and
Gynecology, J.J.M Medical College, Davanagere, Karnataka, India
| | - Basavaraj Vastrad
- Department of Pharmaceutical Chemistry,
K.L.E. College of Pharmacy, Gadag, Karnataka, India
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics,
Chanabasava Nilaya, Dharwad, Karnataka, India,Chanabasayya Vastrad, Biostatistics and
Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad, Karnataka 580001,
India.
| | - Satish Kavatagimath
- Department of Pharmacognosy, K.L.E.
College of Pharmacy, Belagavi, Karnataka, India
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Pei J, Wang B, Wang D. Current Studies on Molecular Mechanisms of Insulin Resistance. J Diabetes Res 2022; 2022:1863429. [PMID: 36589630 PMCID: PMC9803571 DOI: 10.1155/2022/1863429] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/06/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022] Open
Abstract
Diabetes is a metabolic disease that raises the risk of microvascular and neurological disorders. Insensitivity to insulin is a characteristic of type II diabetes, which accounts for 85-90 percent of all diabetic patients. The fundamental molecular factor of insulin resistance may be impaired cell signal transduction mediated by the insulin receptor (IR). Several cell-signaling proteins, including IR, insulin receptor substrate (IRS), and phosphatidylinositol 3-kinase (PI3K), have been recognized as being important in the impaired insulin signaling pathway since they are associated with a large number of proteins that are strictly regulated and interact with other signaling pathways. Many studies have found a correlation between IR alternative splicing, IRS gene polymorphism, the complicated regulatory function of IRS serine/threonine phosphorylation, and the negative regulatory role of p85 in insulin resistance and diabetes mellitus. This review brings up-to-date knowledge of the roles of signaling proteins in insulin resistance in order to aid in the discovery of prospective targets for insulin resistance treatment.
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Affiliation(s)
- Jinli Pei
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Baochun Wang
- The First Department of Gastrointestinal Surgery, Hainan General Hospital, Haikou, Hainan 570228, China
| | - Dayong Wang
- Laboratory of Biopharmaceuticals and Molecular Pharmacology, School of Pharmaceutical Sciences, Hainan University, Hainan 570228, China
- State Key Laboratory of Tropical Biological Resources of the Ministry of Education of China, Hainan University, Hainan 570228, China
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El-Kebbi IM, Bidikian NH, Hneiny L, Nasrallah MP. Epidemiology of type 2 diabetes in the Middle East and North Africa: Challenges and call for action. World J Diabetes 2021; 12:1401-1425. [PMID: 34630897 PMCID: PMC8472500 DOI: 10.4239/wjd.v12.i9.1401] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 06/21/2021] [Accepted: 08/02/2021] [Indexed: 02/06/2023] Open
Abstract
Type 2 diabetes continues to be a serious and highly prevalent public health problem worldwide. In 2019, the highest prevalence of diabetes in the world at 12.2%, with its associated morbidity and mortality, was found in the Middle East and North Africa region. In addition to a genetic predisposition in its population, evidence suggests that obesity, physical inactivity, urbanization, and poor nutritional habits have contributed to the high prevalence of diabetes and prediabetes in the region. These risk factors have also led to an earlier onset of type 2 diabetes among children and adolescents, negatively affecting the productive years of the youth and their quality of life. Furthermore, efforts to control the rising prevalence of diabetes and its complications have been challenged and complicated by the political instability and armed conflict in some countries of the region and the recent coronavirus disease 2019. Broad strategies, coupled with targeted interventions at the regional, national, and community levels are needed to address and curb the spread of this public health crisis.
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Affiliation(s)
- Imad M El-Kebbi
- Department of Internal Medicine, Division of Endocrinology, American University of Beirut Medical Center, Faculty of Medicine, Beirut 11072020, Lebanon
- Department of Internal Medicine, Sheikh Shakhbout Medical City, Abou Dhabi 11001, United Arab Emirates
| | - Nayda H Bidikian
- School of Medicine, American University of Beirut, Faculty of Medicine, Beirut 11072020, Lebanon
| | - Layal Hneiny
- University Libraries, Saab Medical Library, American University of Beirut, Beirut 11072020, Lebanon
| | - Mona Philippe Nasrallah
- Department of Internal Medicine, Division of Endocrinology, American University of Beirut Medical Center, Faculty of Medicine, Beirut 11072020, Lebanon
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4
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Akbarzadeh M, Riahi P, Ramezankhani A, Dehkordi SR, Roudbar MA, Zarkesh M, Guity K, Khalili D, Zahedi AS, Azizi F, Daneshpour MS. Parental Transmission Plays the Major Role in High Aggregation of Type 2 Diabetes in Iranian Families: Tehran Lipid and Glucose Study. Can J Diabetes 2021; 46:60-68. [PMID: 34419346 DOI: 10.1016/j.jcjd.2021.05.009] [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: 01/24/2021] [Revised: 04/25/2021] [Accepted: 05/27/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND This study is the first to evaluate familial aggregation, heritability and inheritance mode of type 2 diabetes (T2D) in Tehran Lipid Glucose Study (TLGS) participants as a representative sample of the Iranian population. METHODS From the ongoing family-based TLGS cohort, 13,741 individuals at least 20 years of age (mean ± standard deviation, 39.71±16.56) were assessed. After correcting family structures using genomic information from the Tehran Cardiometabolic Genetic Study, 2,594 constituent pedigrees were constructed. Familial aggregation was assessed based on genealogic index testing, familial intraclass correlation and positive family history. Family-based heritability was checked with 2 linear mixed models, including 2 different random components: the kinship matrix and the genomic relationship matrix. The mode of inheritance of T2D was investigated by complex segregation analysis (CSA). RESULTS Familial aggregation of T2D was significant (p<0.05), and family-based heritability showed a high degree of genetic variation in T2D between individuals at 65% (standard error, 0.034). Within first-degree relatives (parent/offspring and siblings), the likelihood of a parental affect was higher than in siblings (odds ratio, 4.11 vs 1.65). Family history of T2D among first-degree relatives was more noteworthy than for second-degree relatives (odds ratio, 3.84 vs 0.59). CSA revealed that the polygenic model is best to illustrate the mode of inheritance of T2D for TLGS participants. CONCLUSIONS Our findings demonstrate that the heritability of T2D with polygenic mode in the Iranian population is higher than the global average. We also found that T2D is transmitted equally into siblings, with parental affect the leading risk factor. These data suggest that policymakers should change individual-level to family-level prevention.
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Affiliation(s)
- Mahdi Akbarzadeh
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parisa Riahi
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeid Rasekhi Dehkordi
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahmoud Amiri Roudbar
- Department of Animal Science, Safiabad-Dezful Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education & Extension Organization, Dezful, Iran
| | - Maryam Zarkesh
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamran Guity
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Asiyeh Sadat Zahedi
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Sachse G, Haythorne E, Hill T, Proks P, Joynson R, Terrón-Expósito R, Bentley L, Tucker SJ, Cox RD, Ashcroft FM. The KCNJ11-E23K Gene Variant Hastens Diabetes Progression by Impairing Glucose-Induced Insulin Secretion. Diabetes 2021; 70:1145-1156. [PMID: 33568422 DOI: 10.2337/db20-0691] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 02/05/2021] [Indexed: 11/13/2022]
Abstract
The ATP-sensitive K+ (KATP) channel controls blood glucose levels by coupling glucose metabolism to insulin secretion in pancreatic β-cells. E23K, a common polymorphism in the pore-forming KATP channel subunit (KCNJ11) gene, has been linked to increased risk of type 2 diabetes. Understanding the risk-allele-specific pathogenesis has the potential to improve personalized diabetes treatment, but the underlying mechanism has remained elusive. Using a genetically engineered mouse model, we now show that the K23 variant impairs glucose-induced insulin secretion and increases diabetes risk when combined with a high-fat diet (HFD) and obesity. KATP-channels in β-cells with two K23 risk alleles (KK) showed decreased ATP inhibition, and the threshold for glucose-stimulated insulin secretion from KK islets was increased. Consequently, the insulin response to glucose and glycemic control was impaired in KK mice fed a standard diet. On an HFD, the effects of the KK genotype were exacerbated, accelerating diet-induced diabetes progression and causing β-cell failure. We conclude that the K23 variant increases diabetes risk by impairing insulin secretion at threshold glucose levels, thus accelerating loss of β-cell function in the early stages of diabetes progression.
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Affiliation(s)
- Gregor Sachse
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, U.K.
| | - Elizabeth Haythorne
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, U.K
| | - Thomas Hill
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, U.K
| | - Peter Proks
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, U.K
- Department of Physics, University of Oxford, Oxford, U.K
| | - Russell Joynson
- Mammalian Genetics Unit and Mary Lyon Centre, MRC Harwell Institute, Oxfordshire, U.K
| | - Raul Terrón-Expósito
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, U.K
| | - Liz Bentley
- Mammalian Genetics Unit and Mary Lyon Centre, MRC Harwell Institute, Oxfordshire, U.K
| | | | - Roger D Cox
- Mammalian Genetics Unit and Mary Lyon Centre, MRC Harwell Institute, Oxfordshire, U.K
| | - Frances M Ashcroft
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, U.K
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6
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Prashanth G, Vastrad B, Tengli A, Vastrad C, Kotturshetti I. Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules. BMC Endocr Disord 2021; 21:80. [PMID: 33902539 PMCID: PMC8074411 DOI: 10.1186/s12902-021-00718-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 03/02/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. METHODS To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. RESULTS A total of 820 DEGs were identified between healthy obese and metabolically unhealthy obese, among 409 up regulated and 411 down regulated genes. The GO enrichment analysis results showed that these DEGs were significantly enriched in ion transmembrane transport, intrinsic component of plasma membrane, transferase activity, transferring phosphorus-containing groups, cell adhesion, integral component of plasma membrane and signaling receptor binding, whereas, the REACTOME pathway enrichment analysis results showed that these DEGs were significantly enriched in integration of energy metabolism and extracellular matrix organization. The hub genes CEBPD, TP73, ESR2, TAB1, MAP 3K5, FN1, UBD, RUNX1, PIK3R2 and TNF, which might play an essential role in obesity associated type 2 diabetes mellitus was further screened. CONCLUSIONS The present study could deepen the understanding of the molecular mechanism of obesity associated type 2 diabetes mellitus, which could be useful in developing therapeutic targets for obesity associated type 2 diabetes mellitus.
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Affiliation(s)
- G Prashanth
- Department of General Medicine, Basaveshwara Medical College, Chitradurga, Karnataka, 577501, India
| | - Basavaraj Vastrad
- Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka, 582103, India
| | - Anandkumar Tengli
- Department of Pharmaceutical Chemistry, JSS College of Pharmacy, Mysuru and JSS Academy of Higher Education & Research, Mysuru, Karnataka, 570015, India
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad, Karnataka, 580001, India.
| | - Iranna Kotturshetti
- Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka, 582209, India
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7
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Wang J, Chen L, Qiang P. The role of IGF2BP2, an m6A reader gene, in human metabolic diseases and cancers. Cancer Cell Int 2021; 21:99. [PMID: 33568150 PMCID: PMC7876817 DOI: 10.1186/s12935-021-01799-x] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 02/03/2021] [Indexed: 02/07/2023] Open
Abstract
The human insulin-like growth factor 2 (IGF2) mRNA binding proteins 2 (IGF2BP2/IMP2) is an RNA-binding protein that regulates multiple biological processes. Previously, IGF2BP2 was thought to be a type 2 diabetes (T2D)-associated gene. Indeed IGF2BP2 modulates cellular metabolism in human metabolic diseases such as diabetes, obesity and fatty liver through post-transcriptional regulation of numerous genes in multiple cell types. Emerging evidence shows that IGF2BP2 is an N6-methyladenosine (m6A) reader that participates in the development and progression of cancers by communicating with different RNAs such as microRNAs (miRNAs), messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). Additionally, IGF2BP2 is an independent prognostic factor for multiple cancer types. In this review, we summarize the current knowledge on IGF2BP2 with regard to diverse human metabolic diseases and its potential for cancer prognosis.
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Affiliation(s)
- Jinyan Wang
- Department of Oncology, Zhangjiagang First People's Hospital, Zhangjiagang Affiliated Hospital of Soochow University, Zhangjiagang, China.,The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Lijuan Chen
- Department of Gynecology, Zhangjiagang First People's Hospital, Zhangjiagang Affiliated Hospital of Soochow University, Zhangjiagang, 215600, Jiangsu, People's Republic of China.
| | - Ping Qiang
- Department of Gynecology, Zhangjiagang First People's Hospital, Zhangjiagang Affiliated Hospital of Soochow University, Zhangjiagang, 215600, Jiangsu, People's Republic of China.
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Bensouilah FZ, Chellat-Rezgoune D, Garcia-Gonzalez MA, Carrera N, Abadi N, Dahdouh A, Satta D. Association of single nucleotide polymorphisms with renal cell carcinoma in Algerian population. AFRICAN JOURNAL OF UROLOGY 2020. [DOI: 10.1186/s12301-020-00055-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Abstract
Background
Renal cell carcinoma (RCC) is a common malignant tumor of the urinary system. The etiology of RCC is a complex interaction between environmental and multigenetic factors. Genome-wide association studies have identified new susceptibility risk loci for RCC. We examined associations of genetic variants of genes that are involved in metabolism, DNA repair and oncogenes with renal cancer risk. A total of 14 single nucleotide polymorphisms (SNPs) in 11 genes (VEGF, VHL, ATM, FAF1, LRRIQ4, RHOBTB2, OBFC1, DPF3, ALDH9A1 and EPAS1) were examined.
Methods
The current case–control study included 87 RCC patients and 114 controls matched for age, gender and ethnic origin. The 14 tag-SNPs were genotyped by Sequenom MassARRAY® iPLEX using blood genomic DNA.
Results
Genotype CG and allele G of ATM rs1800057 were significantly associated with RCC susceptibility (p = 0.043; OR = 8.47; CI = 1.00–71.76). Meanwhile, we found that genotype AA of rs67311347 polymorphism could increase the risk of RCC (p = 0.03; OR = 2.95; IC = 1.10–7.89). While, genotype TT and T allele of ALDH9A1 rs3845536 were observed to approach significance for a protective role against RCC (p = 0.007; OR = 0.26; CI = 0.09–0.70).
Conclusion
Our results indicate that ATM rs1800057 may have an effect on the risk of RCC, and suggest that ALDH9A1 was a protective factor against RCC in Algerian population.
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Mashal S, Khanfar M, Al-Khalayfa S, Srour L, Mustafa L, Hakooz NM, Zayed AA, Khader YS, Azab B. SLC30A8 gene polymorphism rs13266634 associated with increased risk for developing type 2 diabetes mellitus in Jordanian population. Gene 2020; 768:145279. [PMID: 33161057 DOI: 10.1016/j.gene.2020.145279] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 10/08/2020] [Accepted: 10/23/2020] [Indexed: 01/15/2023]
Abstract
BACKGROUND Several genome-wide association studies (GWAS) have identified the single nucleotide polymorphism (SNP) rs13266634 in the Solute carrier family 30 member 8 (SLC30A8) gene as a risk factor to type 2 diabetes mellitus (T2DM). Nevertheless, other studies reported controversial findings of no significant association between the rs13266634 with T2DM. In this study, we aimed to investigate the association of this SNP with T2DM among Jordanian population in addition to define its corresponding allelic and genotypic frequencies. METHOD This case-control study enrolled 358 T2DM patients and 326 healthy controls who fulfilled the inclusion criteria. Blood samples were collected from all participants and were used for the rs13266634 SNP genotyping by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. RESULTS We demonstrated a significant association between the C/T rs13266634 SNP and T2DM among Jordanian population. A significant difference was found between the cases and controls regarding the allelic (P = 0.003) distribution. Compared to people having T allele, those with C allele had higher risk of T2DM (OR = 1.47 ; 95% CI: 1.14 - 1.89; P = 0.003). Having a CC genotype versus TT genotype was significantly associated with increased risk to T2DM (OR = 2.44; 95% CI: 1.16 - 5.12; P = 0.019) after adjusting for age, gender, and BMI. Under the recessive model, subjects with CC genotype were more likely to have T2DM compared to those with CT or TT genotypes, (OR = 1.64; 95% CI: 1.18 - 2.26; P = 0.003) after adjusting for age, gender and BMI. CONCLUSION The rs13266634 SNP is significantly associated with T2DM susceptibility among Jordanian Population.
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Affiliation(s)
- Safaa Mashal
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Mariam Khanfar
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, P.O.Box 3030, Irbid 22110, Jordan
| | - Sawsan Al-Khalayfa
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Luma Srour
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Lina Mustafa
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Nancy M Hakooz
- Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Ayman A Zayed
- Division of Endocrinology, Diabetes, and Metabolism, Department of Internal Medicine, School of Medicine, The University of Jordan, Jordan University Hospital, PO Box: 13617, Queen Rania St., Amman 11942, Jordan
| | - Yousef S Khader
- Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University of Science and Technology, P.O.Box 3030, Irbid 22110, Jordan
| | - Bilal Azab
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, University of Jordan, PO Box: 13617, Queen Rania St., Amman 11942, Jordan; Department of Human and Molecular Genetics, School of Medicine, Virginia Commonwealth University, United States.
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10
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Sarhangi N, Sharifi F, Hashemian L, Hassani Doabsari M, Heshmatzad K, Rahbaran M, Jamaldini SH, Aghaei Meybodi HR, Hasanzad M. PPARG (Pro12Ala) genetic variant and risk of T2DM: a systematic review and meta-analysis. Sci Rep 2020; 10:12764. [PMID: 32728045 PMCID: PMC7391673 DOI: 10.1038/s41598-020-69363-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 07/06/2020] [Indexed: 12/11/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a complex disease caused by the interaction between genetic and environmental factors. A growing number of evidence suggests that the peroxisome proliferator-activated receptor gamma (PPARG) gene plays a major role in T2DM development. Meta-analysis of genetic association studies is an efficient tool to gain a better understanding of multifactorial diseases and potentially to provide valuable insights into gene-disease interactions. The present study was focused on assessing the association between Pro12Ala variation in the PPARG and T2DM risk through a comprehensive meta-analysis. We searched PubMed, WoS, Embase, Scopus and ProQuest from 1990 to 2017. The fixed-effect or random-effect model was used to evaluate the pooled odds ratios (ORs) and 95% confidence intervals (CIs) depending on the heterogeneity among studies. The sources of heterogeneity and publication bias among the included studies were assessed using I2 statistics and Egger's tests. A total of 73 studies, involving 62,250 cases and 69,613 controls were included. The results showed that the minor allele (G) of the rs1801282 variant was associated with the decreased risk of T2DM under different genetic models. Moreover, the protective effect of minor allele was detected to be significantly more in some ethnicities including the European (18%), East Asian (20%), and South East Asian (18%). And the reduction of T2DM risk in Ala12 carriers was stronger in individuals from North Europe rather than Central and South Europe. Our findings indicated that the rs1801282 variant may contribute to decrease of T2DM susceptibility in different ancestries.
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Affiliation(s)
- Negar Sarhangi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Farshad Sharifi
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Leila Hashemian
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Maryam Hassani Doabsari
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Katayoun Heshmatzad
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Marzieh Rahbaran
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Seyed Hamid Jamaldini
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Hamid Reza Aghaei Meybodi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran.,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Mandana Hasanzad
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran. .,Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran.
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Al Ali M, El hajj Chehadeh S, Osman W, Almansoori K, Abdulrahman M, Tay G, Alsafar H. Investigating the association of rs7903146 of TCF7L2 gene, rs5219 of KCNJ11 gene, rs10946398 of CDKAL1 gene, and rs9939609 of FTO gene with type 2 diabetes mellitus in Emirati population. Meta Gene 2019. [DOI: 10.1016/j.mgene.2019.100600] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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12
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Abuhendi N, Qush A, Naji F, Abunada H, Al Buainain R, Shi Z, Zayed H. Genetic polymorphisms associated with type 2 diabetes in the Arab world: A systematic review and meta-analysis. Diabetes Res Clin Pract 2019; 151:198-208. [PMID: 30954515 DOI: 10.1016/j.diabres.2019.03.037] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 03/27/2019] [Indexed: 02/07/2023]
Abstract
AIMS T2DM reach epidemic levels in the Arab countries. In this study, we aimed to perform a systematic review and meta-analysis to underline the susceptibility genetic profile of Arab patients with T2DM that result from SNPs. METHODS We searched four literature databases (PubMed, Scopus, Science Direct and Web of Science) through January 2019. We included all SNPs in candidate genes with an OR > 1 that were associated with T2DM among Arab patients with T2DM. Statistical programs such as software Review Manager (Version 5.02) and STATA (Version 15.1) were used. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with a random effects model or a fixed effect model depending on the heterogeneity among studies. I2 statistics and Egger's tests were performed to assess heterogeneity and publication bias. RESULTS Out of 2245 studies, 47 were used for meta-analysis. We captured 31,307 cases and 26,464 controls in which we collected 71 SNPs in 32 genes. A pooled meta-analysis demonstrated 24-69% increase in T2DM risk. Among the 57 SNPs (in 32 genes) that were not included in the meta-analysis, the OR for diabetes ranged from 1.02 to 5.10, with a median of 1.38 (interquartile range 1.33-2.09). Ten studies examined the association between the TCF7L2 polymorphism rs7903146 and T2DM, leading to an aggregated OR of 1.34 (95%CI 1.27-1.41). CONCLUSION The genetic profile that confer susceptibility to T2DM in Arab patients is diverse. This study may serve as a platform for designing a gene panel for testing the susceptibility to T2DM.
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Affiliation(s)
- Najat Abuhendi
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Abeer Qush
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Fozieh Naji
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Hanan Abunada
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Reeham Al Buainain
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar
| | - Zumin Shi
- Department of Nutrition, College of Health Sciences, Qatar University, Doha, Qatar
| | - Hatem Zayed
- Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar.
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Hebbar P, Abubaker JA, Abu-Farha M, Tuomilehto J, Al-Mulla F, Thanaraj TA. A Perception on Genome-Wide Genetic Analysis of Metabolic Traits in Arab Populations. Front Endocrinol (Lausanne) 2019; 10:8. [PMID: 30761081 PMCID: PMC6362414 DOI: 10.3389/fendo.2019.00008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 01/09/2019] [Indexed: 12/16/2022] Open
Abstract
Despite dedicated nation-wide efforts to raise awareness against the harmful effects of fast-food consumption and sedentary lifestyle, the Arab population continues to struggle with an increased risk for metabolic disorders. Unlike the European population, the Arab population lacks well-established genetic risk determinants for metabolic disorders, and the transferability of established risk loci to this population has not been satisfactorily demonstrated. The most recent findings have identified over 240 genetic risk loci (with ~400 independent association signals) for type 2 diabetes, but thus far only 25 risk loci (ADAMTS9, ALX4, BCL11A, CDKAL1, CDKN2A/B, COL8A1, DUSP9, FTO, GCK, GNPDA2, HMG20A, HNF1A, HNF1B, HNF4A, IGF2BP2, JAZF1, KCNJ11, KCNQ1, MC4R, PPARγ, SLC30A8, TCF7L2, TFAP2B, TP53INP1, and WFS1) have been replicated in Arab populations. To our knowledge, large-scale population- or family-based association studies are non-existent in this region. Recently, we conducted genome-wide association studies on Arab individuals from Kuwait to delineate the genetic determinants for quantitative traits associated with anthropometry, lipid profile, insulin resistance, and blood pressure levels. Although these studies led to the identification of novel recessive variants, they failed to reproduce the established loci. However, they provided insights into the genetic architecture of the population, the applicability of genetic models based on recessive mode of inheritance, the presence of genetic signatures of inbreeding due to the practice of consanguinity, and the pleiotropic effects of rare disorders on complex metabolic disorders. This perspective presents analysis strategies and study designs for identifying genetic risk variants associated with diabetes and related traits in Arab populations.
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Affiliation(s)
- Prashantha Hebbar
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
- Doctoral Program in Population Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jehad Ahmed Abubaker
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Mohamed Abu-Farha
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Jaakko Tuomilehto
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Fahd Al-Mulla
- Genetics and Bioinformatics Unit, Dasman Diabetes Institute, Kuwait City, Kuwait
- *Correspondence: Fahd Al-Mulla
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14
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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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15
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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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16
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K121Q variant in ENPP1 gene is associated with T2DM in the Egyptian population. Int J Diabetes Dev Ctries 2018. [DOI: 10.1007/s13410-018-0609-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/06/2022] Open
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17
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Rizvi S, Raza ST, Mahdi F, Singh SP, Rajput M, Rahman Q. Genetic polymorphisms inKCNJ11 (E23K, rs5219)andSDF-1β (G801A, rs1801157)genes are associated with the risk of type 2 diabetes mellitus. Br J Biomed Sci 2018; 75:139-144. [DOI: 10.1080/09674845.2018.1473939] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- S Rizvi
- Molecular Biology Lab, Department of Biochemistry, Era’s Lucknow Medical College and Hospital , Lucknow, India
- Science and Technology, Amity Institute of Biotechnology, Amity University Uttar Pradesh , Lucknow, India
| | - ST Raza
- Molecular Biology Lab, Department of Biochemistry, Era’s Lucknow Medical College and Hospital , Lucknow, India
| | - F Mahdi
- Molecular Biology Lab, Department of Biochemistry, Era’s Lucknow Medical College and Hospital , Lucknow, India
| | - SP Singh
- Molecular Biology Lab, Department of Biochemistry, Era’s Lucknow Medical College and Hospital , Lucknow, India
| | - M Rajput
- Molecular Biology Lab, Department of Biochemistry, Era’s Lucknow Medical College and Hospital , Lucknow, India
| | - Q Rahman
- Science and Technology, Amity Institute of Biotechnology, Amity University Uttar Pradesh , Lucknow, India
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18
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Dajani R, Li J, Wei Z, March ME, Xia Q, Khader Y, Hakooz N, Fatahallah R, El-Khateeb M, Arafat A, Saleh T, Dajani AR, Al-Abbadi Z, Abdul Qader M, Shiyab AH, Bateiha A, Ajlouni K, Hakonarson H. Genome-wide association study identifies novel type II diabetes risk loci in Jordan subpopulations. PeerJ 2017; 5:e3618. [PMID: 28828242 PMCID: PMC5563445 DOI: 10.7717/peerj.3618] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 07/06/2017] [Indexed: 12/14/2022] Open
Abstract
The prevalence of Type II Diabetes (T2D) has been increasing and has become a disease of significant public health burden in Jordan. None of the previous genome-wide association studies (GWAS) have specifically investigated the Middle East populations. The Circassian and Chechen communities in Jordan represent unique populations that are genetically distinct from the Arab population and other populations in the Caucasus. Prevalence of T2D is very high in both the Circassian and Chechen communities in Jordan despite low obesity prevalence. We conducted GWAS on T2D in these two populations and further performed meta-analysis of the results. We identified a novel T2D locus at chr20p12.2 at genome-wide significance (rs6134031, P = 1.12 × 10−8) and we replicated the results in the Wellcome Trust Case Control Consortium (WTCCC) dataset. Another locus at chr12q24.31 is associated with T2D at suggestive significance level (top SNP rs4758690, P = 4.20 × 10−5) and it is a robust eQTL for the gene, MLXIP (P = 1.10 × 10−14), and is significantly associated with methylation level in MLXIP, the functions of which involves cellular glucose response. Therefore, in this first GWAS of T2D in Jordan subpopulations, we identified novel and unique susceptibility loci which may help inform the genetic underpinnings of T2D in other populations.
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Affiliation(s)
- Rana Dajani
- Department of Biology and Biotechnology, Hashemite University, Zarqa, Jordan
| | - Jin Li
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.,Department of Cell Biology, Tianjin Medical University, Tianjin, China
| | - Zhi Wei
- Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, United States of America
| | - Michael E March
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America
| | - Qianghua Xia
- Department of Cell Biology, Tianjin Medical University, Tianjin, China.,Divisions of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America
| | - Yousef Khader
- Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University for Science and Technology, Irbid, Jordan
| | - Nancy Hakooz
- Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, University of Jordan, Amman, Jordan
| | - Raja Fatahallah
- National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan
| | | | - Ala Arafat
- National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan
| | - Tareq Saleh
- Department of Biology and Biotechnology, Hashemite University, Zarqa, Jordan
| | - Abdel Rahman Dajani
- Department of Biology and Biotechnology, Hashemite University, Zarqa, Jordan
| | - Zaid Al-Abbadi
- Department of Biology and Biotechnology, Hashemite University, Zarqa, Jordan
| | - Mohamed Abdul Qader
- Department of Biology and Biotechnology, Hashemite University, Zarqa, Jordan
| | | | - Anwar Bateiha
- Department of Community Medicine, Public Health and Family Medicine, Faculty of Medicine, Jordan University for Science and Technology, Irbid, Jordan
| | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.,Divisions of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States of America.,The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
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19
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20
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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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Yako YY, Guewo-Fokeng M, Balti EV, Bouatia-Naji N, Matsha TE, Sobngwi E, Erasmus RT, Echouffo-Tcheugui JB, Kengne AP. Genetic risk of type 2 diabetes in populations of the African continent: A systematic review and meta-analyses. Diabetes Res Clin Pract 2016; 114:136-50. [PMID: 26830076 DOI: 10.1016/j.diabres.2016.01.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 11/27/2015] [Accepted: 01/03/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Type 2 diabetes (T2D) is growing faster in Africa than anywhere else, driven by the dual effects of genetic and environmental factors. We conducted a systematic review and meta-analyses of published studies on genetic markers of T2D in populations within Africa. METHODS Multiple databases were searched for studies of genetic variants associated with T2D in populations living in Africa. Studies reporting on the association of a genetic marker with T2D or indicators of glycaemia were included. Data were extracted on study design and characteristics, genetic determinants, effect estimates of associations with T2D. FINDINGS Overall, 100 polymorphisms in 57 genes have been investigated in relation with T2D in populations within Africa, in 60 studies. Almost all studies used the candidate gene approach, with >88% published during 2006-2014 and 70% (42/60) originating from Tunisia and Egypt. Polymorphisms in ACE, AGRP, eNOS, GSTP1, HSP70-2, MC4R, MTHFR, PHLPP, POL1, TCF7L2, and TNF-α gene were found to be associated with T2D, with overlapping effect on various cardiometabolic traits. The polymorphisms investigated in multiple studies mostly had consistent effects across studies, with only modest or no statistical heterogeneity. Effect sizes were modestly significant [e.g., odd ratio 1.49 (95%CI 1.33-1.66) for TCF7L2 (rs7903146)]. Underpowered genome-wide studies revealed no diabetes risk loci specific to African populations. INTERPRETATION Current evidence on the genetic markers of T2D in African populations mostly originate from North African countries, is overall scanty and largely insufficient to reliably inform the genetic architecture of T2D across Africa.
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Affiliation(s)
- Yandiswa Y Yako
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaounde I, Yaounde, Cameroon
| | - Eric V Balti
- Diabetes Research Center, Faculty of Medicine and Pharmacy, Brussels Free University, Brussels, Belgium
| | - Nabila Bouatia-Naji
- INSERM UMR970 Paris Cardiovascular Research Center, 56 rue Leblanc F-75015 Paris, France; Paris Descartes University, PRES Paris Sorbonne, 12 rue de l'école de medecine F75006 Paris, France
| | - Tandi E Matsha
- Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Eugene Sobngwi
- Department of Internal Medicine, Faculty of Medicine and Biomedical Sciences, University of Yaounde I, Yaounde, Cameroon
| | - Rajiv T Erasmus
- Division of Chemical Pathology, Faculty of Medicine and Health Sciences, National Health Laboratory Service (NHLS), University of Stellenbosch, Cape Town, South Africa
| | - Justin B Echouffo-Tcheugui
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Medicine, MedStar Health System, Baltimore, MD, USA
| | - Andre P Kengne
- Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa; Department of Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa; The George Institute for Global Health, The University of Sydney, Sydney, NSW, Australia.
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22
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Genetics of non-conventional lipoprotein fractions. CURRENT GENETIC MEDICINE REPORTS 2015; 3:196-201. [PMID: 26618077 DOI: 10.1007/s40142-015-0077-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Lipoprotein subclass measures associate with cardiometabolic disease risk. Currently the information that lipoproteins convey on disease risk over that of traditional demographic and lipid measures is minimal, and so their use is clinics is limited. However, lipoprotein subclass perturbations represent some of the earliest manifestations of metabolic dysfunction, and their etiology is partially distinct from lipids, so information on the genetic etiology of lipoproteins offers promise for improved risk prediction, and unique mechanistic insights into IR and atherosclerosis. Here, I review the genetic variants validated as associating with lipoprotein measures to date, and show that the majority of identified variants have functionality that is best understood as related to lipid measures. Until we focus on the genes as they relate to lipoprotein subclass production, we are limiting our understanding of biological mechanisms underlying cardiometabolic disease.
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23
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Adeyemo AA, Tekola-Ayele F, Doumatey AP, Bentley AR, Chen G, Huang H, Zhou J, Shriner D, Fasanmade O, Okafor G, Eghan B, Agyenim-Boateng K, Adeleye J, Balogun W, Elkahloun A, Chandrasekharappa S, Owusu S, Amoah A, Acheampong J, Johnson T, Oli J, Adebamowo C, Collins F, Dunston G, Rotimi CN. Evaluation of Genome Wide Association Study Associated Type 2 Diabetes Susceptibility Loci in Sub Saharan Africans. Front Genet 2015; 6:335. [PMID: 26635871 PMCID: PMC4656823 DOI: 10.3389/fgene.2015.00335] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Accepted: 11/09/2015] [Indexed: 01/31/2023] Open
Abstract
Genome wide association studies (GWAS) for type 2 diabetes (T2D) undertaken in European and Asian ancestry populations have yielded dozens of robustly associated loci. However, the genomics of T2D remains largely understudied in sub-Saharan Africa (SSA), where rates of T2D are increasing dramatically and where the environmental background is quite different than in these previous studies. Here, we evaluate 106 reported T2D GWAS loci in continental Africans. We tested each of these SNPs, and SNPs in linkage disequilibrium (LD) with these index SNPs, for an association with T2D in order to assess transferability and to fine map the loci leveraging the generally reduced LD of African genomes. The study included 1775 unrelated Africans (1035 T2D cases, 740 controls; mean age 54 years; 59% female) enrolled in Nigeria, Ghana, and Kenya as part of the Africa America Diabetes Mellitus (AADM) study. All samples were genotyped on the Affymetrix Axiom PanAFR SNP array. Forty-one of the tested loci showed transferability to this African sample (p < 0.05, same direction of effect), 11 at the exact reported SNP and 30 others at SNPs in LD with the reported SNP (after adjustment for the number of tested SNPs). TCF7L2 SNP rs7903146 was the most significant locus in this study (p = 1.61 × 10−8). Most of the loci that showed transferability were successfully fine-mapped, i.e., localized to smaller haplotypes than in the original reports. The findings indicate that the genetic architecture of T2D in SSA is characterized by several risk loci shared with non-African ancestral populations and that data from African populations may facilitate fine mapping of risk loci. The study provides an important resource for meta-analysis of African ancestry populations and transferability of novel loci.
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Affiliation(s)
- Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Fasil Tekola-Ayele
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Hanxia Huang
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | | | - Godfrey Okafor
- Department of Medicine, University of Nigeria Teaching Hospital Enugu, Nigeria
| | - Benjamin Eghan
- Department of Medicine, University of Science and Technology Kumasi, Ghana
| | | | - Jokotade Adeleye
- Department of Medicine, College of Medicine, University of Ibadan Ibadan, Nigeria
| | - Williams Balogun
- Department of Medicine, College of Medicine, University of Ibadan Ibadan, Nigeria
| | - Abdel Elkahloun
- National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | | | - Samuel Owusu
- Department of Medicine and Therapeutics, University of Ghana Medical School Accra, Ghana
| | - Albert Amoah
- Department of Medicine and Therapeutics, University of Ghana Medical School Accra, Ghana
| | - Joseph Acheampong
- Department of Medicine, University of Science and Technology Kumasi, Ghana
| | - Thomas Johnson
- Department of Medicine, University of Lagos Lagos, Nigeria
| | - Johnnie Oli
- Department of Medicine, University of Nigeria Teaching Hospital Enugu, Nigeria
| | - Clement Adebamowo
- Institute of Human Virology, School of Medicine, University of Maryland Baltimore, MD, USA
| | | | - Georgia Dunston
- National Human Genome Center at Howard University Washington, DC, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
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Cheng L, Zhang D, Zhou L, Zhao J, Chen B. Association between SLC30A8 rs13266634 Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis. Med Sci Monit 2015. [PMID: 26214053 PMCID: PMC4527121 DOI: 10.12659/msm.894052] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Accumulating but inconsistent data about the role of rs13266634 variant of SLC30A8 in type 2 diabetes have been reported, partly due to small sample sizes and non-identical ethnicity. MATERIAL AND METHODS We searched PubMed and Cochrane Library to identify eligible studies and extract data of baseline characteristics, genotype count, odds ratio (OR), and 95% confidence interval (CI). Both adjusted OR with 95% CI and genotype counts were employed to assess the association. Genotype data were further pooled to provide estimates under different genetic models and the most appropriate model was determined. Sensitivity and cumulative analysis were conducted to assure the strength of results. RESULTS Fifty-five datasets of 39 studies (including 38 of 24 with genotype count) were included. Significant associations were found in allelic contrasts using adjusted ORs and raw genotype count, respectively, overall in Asian and European populations (overall: OR=1.147/1.157, 95% CI 1.114-1.181/1.135-1.180; Asian: OR=1.186/1.165, 95% CI 1.150-1.222/1.132-1.198; European: OR=1.100/1.151, 95% CI 1.049-1.153/1.120-1.183; All p=0.00), but not in African populations (African: OR=1.255/1.111, 95% CI 0.964-1.634/0.908-1.360, p=0.091/0.305). Further analysis with genotype count under different genetic models all showed that individuals with CC genotype had 33.0% and 16.5% higher risk of type 2 diabetes than those carrying TT and CT genotypes, respectively, under the most likely codominant model. Cumulative analysis indicated gradually improved precision of estimation after studies accumulated. CONCLUSIONS Our results suggest that rs13266634 may be an important genetic factor of type 2 diabetes risk among Asian and European but not African populations.
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Affiliation(s)
- Liqing Cheng
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Dongmei Zhang
- Department of Dermatology, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Lina Zhou
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Jie Zhao
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
| | - Bing Chen
- Department of Endocrinology and Metabolism, Southwest Hospital, Third Military Medical University, Chongqing, China (mainland)
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Sokolova EA, Bondar IA, Shabelnikova OY, Pyankova OV, Filipenko ML. Replication of KCNJ11 (p.E23K) and ABCC8 (p.S1369A) Association in Russian Diabetes Mellitus 2 Type Cohort and Meta-Analysis. PLoS One 2015; 10:e0124662. [PMID: 25955821 PMCID: PMC4425644 DOI: 10.1371/journal.pone.0124662] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 03/17/2015] [Indexed: 12/26/2022] Open
Abstract
The genes ABCC8 and KCNJ11 have received intense focus in type 2 diabetes mellitus (T2DM) research over the past two decades. It has been hypothesized that the p.E23K (KCNJ11) mutation in the 11p15.1 region may play an important role in the development of T2DM. In 2009, Hamming et al. found that the p.1369A (ABCC8) variant may be a causal factor in the disease; therefore, in this study we performed a meta-analysis to evaluate the association between these single nucleotide polymorphisms (SNPs), including our original data on the Siberian population (1384 T2DM and 414 controls). We found rs5219 and rs757110 were not associated with T2DM in this population, and that there was linkage disequilibrium in Siberians (D’=0.766, r2= 0.5633). In addition, the haplotype rs757110[T]-rs5219[C] (p.23K/p.S1369) was associated with T2DM (OR = 1.52, 95% CI: 1.04-2.24). We included 44 original studies published by June 2014 in a meta-analysis of the p.E23K association with T2DM. The total OR was 1.14 (95% CI: 1.11-1.17) for p.E23K for a total sample size of 137,298. For p.S1369A, a meta-analysis was conducted on a total of 10 studies with a total sample size of 14,136 and pooled OR of 1.14 [95% CI (1.08-1.19); p = 2 x 10-6]. Our calculations identified causal genetic variation within the ABCC8/KCNJ11 region for T2DM with an OR of approximately 1.15 in Caucasians and Asians. Moreover, the OR value was not dependent on the frequency of p.E23K or p.S1369A in the populations.
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Affiliation(s)
- Ekaterina Alekseevna Sokolova
- Laboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Irina Arkadievna Bondar
- Novosibirsk State Regional Hospital, Regional Diabetes center, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - Olesya Yurievna Shabelnikova
- Novosibirsk State Regional Hospital, Regional Diabetes center, Novosibirsk, Russia
- Novosibirsk State Medical University, Novosibirsk, Russia
| | - Olga Vladimirovna Pyankova
- Laboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia
- Novosibirsk State University, Novosibirsk, Russia
| | - Maxim Leonidovich Filipenko
- Laboratory of Pharmacogenomics, Institute of Chemical Biology and Fundamental Medicine, Siberian Division, Russian Academy of Sciences, Novosibirsk, Russia
- Kazan Federal University, Kazan, Russia
- * E-mail:
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Guewo-Fokeng M, Sobngwi E, Atogho-Tiedeu B, Donfack OS, Noubiap JJN, Ngwa EN, Mato-Mofo EP, Fosso PP, Djahmeni E, Djokam-Dadjeu R, Evehe MS, Aminkeng F, Mbacham WF, Mbanya JC. Contribution of the TCF7L2 rs7903146 (C/T) gene polymorphism to the susceptibility to type 2 diabetes mellitus in Cameroon. J Diabetes Metab Disord 2015; 14:26. [PMID: 25897419 PMCID: PMC4403887 DOI: 10.1186/s40200-015-0148-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 03/08/2015] [Indexed: 01/08/2023]
Abstract
Background Data on the genetic variants for type 2 diabetes mellitus (T2DM) in sub-Saharan African populations are very scarce. This study aimed to investigate the association of transcription factor 7-like (TCF7L2) with T2DM in a Cameroonian population and explore possible genotype-phenotype correlation. Methods This is a case–control study involving 37 T2DM patients and 37 non-diabetic volunteers of Cameroonian ethnicity aged 40 years old and above. We collected clinical and biological data to determine phenotypic traits. TCF7L2 was analyzed by genotyping for rs7903146 (C/T) using PCR-RFLP. Biochemical analyses were performed using a spectrophotometer with Chronolab kits. Statistical analyses were carried out using IBM SPSS, PS and Quanto. Results TCF7L2 was associated with T2DM in this Cameroonian population (p = 0.013 for alleles, and p = 0.013 for genotypes). The risk allele was C (9.5% patients vs. 0% healthy controls, OR = 16.56) and the protective allele was T (90.5% patients vs. 100.0% healthy controls, OR = 0.06). The risk genotype was C/T (18.9% patients vs. 0% healthy controls, OR = 18.44), while the protective genotype was T/T (81.1% patients vs. 100.0% healthy controls, OR = 0.054). The statistical power was 99.99%. TCF7L2 was not preferentially associated with a specific disease phenotype. Conclusion TCF7L2 is associated with T2DM in this Cameroonian population. The association is not dependent on a specific T2DM phenotype. Clinical genetic testing for TCF7L2 can help to predict the occurrence of T2DM in Cameroon.
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Affiliation(s)
- Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Eugene Sobngwi
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon ; Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon ; National Obesity Center, Yaoundé Central Hospital, University of Yaoundé 1, Yaoundé, Cameroon
| | - Barbara Atogho-Tiedeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Olivier Sontsa Donfack
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Jacques N Noubiap
- Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa ; Medical Diagnostic Center, Yaoundé, Cameroon
| | - Elvis Ndonwi Ngwa
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Edith Pascale Mato-Mofo
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Priscille Pokam Fosso
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Eric Djahmeni
- National Obesity Center, Yaoundé Central Hospital, University of Yaoundé 1, Yaoundé, Cameroon
| | - Rosine Djokam-Dadjeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Marie-Solange Evehe
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Folefac Aminkeng
- The Canadian Pharmacogenomics Network for Drug Safety (CPNDS), Center for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, Canada
| | - Wilfred F Mbacham
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon ; Laboratory for Public Health Research Biotechnologies, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Claude Mbanya
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon ; Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon ; National Obesity Center, Yaoundé Central Hospital, University of Yaoundé 1, Yaoundé, Cameroon
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Lara-Riegos JC, Ortiz-López MG, Peña-Espinoza BI, Montúfar-Robles I, Peña-Rico MA, Sánchez-Pozos K, Granados-Silvestre MA, Menjivar M. Diabetes susceptibility in Mayas: Evidence for the involvement of polymorphisms in HHEX, HNF4α, KCNJ11, PPARγ, CDKN2A/2B, SLC30A8, CDC123/CAMK1D, TCF7L2, ABCA1 and SLC16A11 genes. Gene 2015; 565:68-75. [PMID: 25839936 DOI: 10.1016/j.gene.2015.03.065] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Revised: 03/13/2015] [Accepted: 03/29/2015] [Indexed: 01/11/2023]
Abstract
Association of type 2 diabetes (T2D) with common variants in HHEX, HNF4α, KCNJ11, PPARγ, CDKN2A/2B, SLC30A8, CDC123/CAMK1D, TCF7L2, ABCA1 and SLC16A11 genes have been reported, mainly in populations of European and Asian ancestry and to a lesser extent in Latin Americans. Thus, we aimed to investigate the contribution of rs1111875 (HHEX), rs1800961 (HNF4α), rs5219 (KCNJ11), rs1801282 (PPARγ), rs10811661 (CDKN2A/2B), rs13266634 (SLC30A8), rs12779790 (CDC123/CAMK1D), rs7903146 (TCF7L2), rs9282541 (ABCA1) and rs13342692 (SLC16A11) polymorphisms in the genetic background of Maya population to associate their susceptibility to develop T2D. This is one of the first studies designed specifically to investigate the inherited component of T2D in the indigenous population of Mexico. SNPs were genotyped by allelic discrimination method in 575 unrelated Maya individuals. Two SNPs rs10811661 and rs928254 were significantly associated with T2D after adjusting for BMI; rs10811661 in a recessive and rs9282541 in a dominant model. Additionally, we found phenotypical alterations associated with genetic variants: HDL to rs9282541 and insulin to rs13342692. In conclusion, these findings support an association of genetic polymorphisms to develop T2D in Maya population.
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Affiliation(s)
- J C Lara-Riegos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - M G Ortiz-López
- Laboratory of Molecular Endocrinology, Hospital Juárez de México, Mexico
| | - B I Peña-Espinoza
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - I Montúfar-Robles
- Laboratory of Molecular Endocrinology, Hospital Juárez de México, Mexico
| | - M A Peña-Rico
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - K Sánchez-Pozos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - M A Granados-Silvestre
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico
| | - M Menjivar
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico.
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Al-Safar H, Hassoun A, Almazrouei S, Kamal W, Afandi B, Rais N. Association of the Genetic Polymorphisms in Transcription Factor 7-Like 2 and Peroxisome Proliferator-Activated Receptors- γ 2 with Type 2 Diabetes Mellitus and is Interaction with Obesity Status in Emirati Population. J Diabetes Res 2015; 2015:129695. [PMID: 26273662 PMCID: PMC4530252 DOI: 10.1155/2015/129695] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 04/27/2015] [Accepted: 04/27/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Transcription factor 7-like 2 gene (TCF7L2) and peroxisome proliferator-activated receptors-γ2 (PPAR-γ2) have a profound effect on the incidence of type 2 diabetes mellitus (T2DM) and had previously been found to be associated with T2DM risk in various ppopulations. However, studies in the Arab population are inconsistent. We conducted a case control study to confirm the association of variants rs10885409 of TCF7L2 and Pro12Ala (rs1801282) of PPAR-γ2 with risk of T2DM and related complications in Emirati population of Arab origin. We also investigated the interaction of these associations with obesity status. METHODS DNA was extracted from the saliva samples of 272 T2DM patients and 216 nondiabetic Emiratis. Genotyping for rs10885409 (TCF7L2) and rs1801282 (PPAR-γ2 P12A) variants was accomplished with a TaqMan assay. The subgroups were constituted according to obesity status. RESULTS In the nonobese group, the rs10885409 C allele in the recessive model was significantly associated with the incidence of T2DM (OR 1.975 [95% CI 1.127-3.461], P = 0.017), but this association was not observed in the obese group or when BMI was not considered. PPAR-γ2 risk allele Pro12 frequency (0.96) was similar in the groups tested and more than 90% population was homozygous for this allele. CONCLUSIONS Our case-control study is the first of its kind in Emiratis which establishes TCF7L2 rs10885409 C allele as a T2DM risk factor in Emiratis and this association is modulated by obesity status. We also confirmed that Pro12Ala mutation in PPAR-γ2 is not associated with T2DM risk in this population.
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Affiliation(s)
- Habiba Al-Safar
- Department of Biomedical Engineering, Khalifa University of Science, Technology & Research, P.O. Box 127788, Abu Dhabi, UAE
| | - Ahmed Hassoun
- Dubai Diabetes Centre, Dubai Health Authority, Dubai, UAE
| | - Shaikha Almazrouei
- Department of Biomedical Engineering, Khalifa University of Science, Technology & Research, P.O. Box 127788, Abu Dhabi, UAE
| | - Wala Kamal
- School of Life Sciences, Manipal University, P.O. Box 345050, Dubai, UAE
| | | | - Naushad Rais
- School of Life Sciences, Manipal University, P.O. Box 345050, Dubai, UAE
- *Naushad Rais:
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Lasram K, Ben Halim N, Benrahma H, Mediene-Benchekor S, Arfa I, Hsouna S, Kefi R, Jamoussi H, Ben Ammar S, Bahri S, Abid A, Benhamamouch S, Barakat A, Abdelhak S. Contribution of CDKAL1 rs7756992 and IGF2BP2 rs4402960 polymorphisms in type 2 diabetes, diabetic complications, obesity risk and hypertension in the Tunisian population. J Diabetes 2015; 7:102-13. [PMID: 24636221 DOI: 10.1111/1753-0407.12147] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2013] [Revised: 02/26/2013] [Accepted: 03/11/2014] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) and the cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) identified through genome-wide association (GWA) studies have been shown to be associated with Type 2 diabetes in various ethnic groups. In this study, we investigated the association of the rs7756992 of CDKAL1 and the rs4402960 of IGF2BP2 with Type 2 diabetes, diabetic complications (nephropathy, retinopathy and cardiovascular disease), obesity and hypertension in a Tunisian population. METHODS A case-control association study including 200 Type 2 diabetes Tunisian patients (World Health Organization criteria) and 208 controls (age ≥40; fasting plasma glucose <6.1 mmol/L; without first degree family history of diabetes) has been performed. Other parameters such as diabetic nephropathy, diabetic retinopathy, cardiovascular disease, overweight/obesity and hypertension have been also collected. Genotyping was performed using TaqMan technology. RESULTS A significant association between the rs4402960 and Type 2 diabetes (OR = 1.86, 95% CI = 1.34-2.58, P < 10(-4) ) has been found. Overweight/obese subjects bearing the T-allele have an increased risk to develop Type 2 diabetes (OR = 2.06, 95% CI = 1.40-3.03, P < 10(-4) ). Furthermore, the rs7756992 was found to be associated with the reduced risk of diabetic nephropathy in patients with diabetes (OR = 0.44, 95% CI = 0.27-0.73, P = 0.001). CONCLUSIONS The present study confirms that the rs4402960 of IGF2BP2 gene is a strong candidate for Type 2 diabetes susceptibility and overweight/obesity risk in the Tunisian population. Interestingly, our data suggest that the rs7756992 of CDKAL1 gene have a protective effect against diabetic nephropathy.
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Affiliation(s)
- Khaled Lasram
- Biomedical Genomics and Oncogenetics Laboratory (LR 11 IPT 05), Institut Pasteur de Tunis, Université El Manar de Tunis, Tunis, Tunisia
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Haghvirdizadeh P, Mohamed Z, Abdullah NA, Haghvirdizadeh P, Haerian MS, Haerian BS. KCNJ11: Genetic Polymorphisms and Risk of Diabetes Mellitus. J Diabetes Res 2015; 2015:908152. [PMID: 26448950 PMCID: PMC4584059 DOI: 10.1155/2015/908152] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2014] [Revised: 11/18/2014] [Accepted: 11/27/2014] [Indexed: 01/12/2023] Open
Abstract
Diabetes mellitus (DM) is a major worldwide health problem and its prevalence has been rapidly increasing in the last century. It is caused by defects in insulin secretion or insulin action or both, leading to hyperglycemia. Of the various types of DM, type 2 occurs most frequently. Multiple genes and their interactions are involved in the insulin secretion pathway. Insulin secretion is mediated through the ATP-sensitive potassium (KATP) channel in pancreatic beta cells. This channel is a heteromeric protein, composed of four inward-rectifier potassium ion channel (Kir6.2) tetramers, which form the pore of the KATP channel, as well as sulfonylurea receptor 1 subunits surrounding the pore. Kir6.2 is encoded by the potassium inwardly rectifying channel, subfamily J, member 11 (KCNJ11) gene, a member of the potassium channel genes. Numerous studies have reported the involvement of single nucleotide polymorphisms of the KCNJ11 gene and their interactions in the susceptibility to DM. This review discusses the current evidence for the contribution of common KCNJ11 genetic variants to the development of DM. Future studies should concentrate on understanding the exact role played by these risk variants in the development of DM.
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Affiliation(s)
- Polin Haghvirdizadeh
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Zahurin Mohamed
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Nor Azizan Abdullah
- Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | | | - Monir Sadat Haerian
- Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Iran
- Food and Drug Control Reference Labs Center (FDCRLC), Ministry of Health and Medical Education, Tehran 131456-8784, Iran
| | - Batoul Sadat Haerian
- Pharmacogenomics Lab, Department of Pharmacology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
- *Batoul Sadat Haerian:
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Zhang LF, Pei Q, Yang GP, Zhao YC, Mu YF, Huang Q, Zhu YL. The effect of IGF2BP2 gene polymorphisms on pioglitazone response in Chinese type 2 diabetes patients. Pharmacology 2014; 94:115-22. [PMID: 25247335 DOI: 10.1159/000363414] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 05/06/2014] [Indexed: 11/19/2022]
Abstract
BACKGROUND Genome-wide association studies identified that insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) genetic polymorphisms are related to type 2 diabetes mellitus (T2DM) in several populations. This study aimed to investigate whether the IGF2BP2 gene rs1470579 and rs4402960 polymorphisms were associated with T2DM and pioglitazone efficacy in Chinese T2DM patients. METHODS A total of 281 T2DM patients and 111 healthy volunteers were enrolled to identify the IGF2BP2 gene rs1470579 and rs4402960 polymorphisms; 86 patients were randomly selected and given a 12-week pioglitazone treatment (30 mg/day). Fasting plasma glucose, postprandial plasma glucose (PPG), glycated hemoglobin, serum triglycerides (TG), total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol (HDL-C) were determined before and after pioglitazone treatment. RESULTS The results showed that the IGF2BP2 gene rs1470579 and rs4402960 polymorphisms were associated with T2DM in a Chinese population (OR = 2.002, 95% CI 1.170-3.426, p < 0.05; OR = 1.879, 95% CI 1.110-3.182, p < 0.05). The effect of pioglitazone on PPG (p < 0.05), TG (p < 0.01) and HDL-C (p < 0.05) was lower in patients with the rs1470579 AC+CC genotypes than in AA genotype carriers. Its effect on PPG level was also lower in patients with the GT+TT genotypes of rs4402960 than in patients with the GG genotype (p < 0.05). CONCLUSIONS The IGF2BP2 gene rs1470579 and rs4402960 polymorphisms were associated with T2DM and therapeutic efficacy of pioglitazone in this Chinese population.
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Affiliation(s)
- Liu-Fu Zhang
- Department of Neurology, Hefei Binhu Hospital, Hefei First People's Hospital, Hefei, PR China
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Davidson HW, Wenzlau JM, O'Brien RM. Zinc transporter 8 (ZnT8) and β cell function. Trends Endocrinol Metab 2014; 25:415-24. [PMID: 24751356 PMCID: PMC4112161 DOI: 10.1016/j.tem.2014.03.008] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 03/17/2014] [Accepted: 03/19/2014] [Indexed: 02/07/2023]
Abstract
Human pancreatic β cells have exceptionally high zinc content. In β cells the highest zinc concentration is in insulin secretory granules, from which it is cosecreted with the hormone. Uptake of zinc into secretory granules is mainly mediated by zinc transporter 8 (ZnT8), the product of the SLC30A8 [solute carrier family 30 (zinc transporter), member 8] gene. The minor alleles of several single-nucleotide polymorphisms (SNPs) in SLC30A8 are associated with decreased risk of type 2 diabetes (T2D), but the precise mechanisms underlying the protective effects remain uncertain. In this article we review current knowledge of the role of ZnT8 in maintaining zinc homeostasis in β cells, its role in glucose metabolism based on knockout mouse studies, and current theories regarding the link between ZnT8 function and T2D.
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Affiliation(s)
- Howard W Davidson
- Barbara Davis Center for Diabetes, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA; Integrated Department of Immunology, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA.
| | - Janet M Wenzlau
- Barbara Davis Center for Diabetes, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Richard M O'Brien
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
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Evidence for association of the E23K variant of KCNJ11 gene with type 2 diabetes in Tunisian population: population-based study and meta-analysis. BIOMED RESEARCH INTERNATIONAL 2014; 2014:265274. [PMID: 25165692 PMCID: PMC4140131 DOI: 10.1155/2014/265274] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2014] [Accepted: 05/30/2014] [Indexed: 01/22/2023]
Abstract
Aims. Genetic association studies have reported the E23K variant of KCNJ11 gene to be associated with Type 2 diabetes. In Arab populations, only four studies have investigated the role of this variant. We aimed to replicate and validate the association between the E23K variant and Type 2 diabetes in Tunisian and Arab populations. Methods. We have performed a case-control association study including 250 Tunisian patients with Type 2 diabetes and 267 controls. Allelic association has also been evaluated by 2 meta-analyses including all population-based studies among Tunisians and Arabs (2 and 5 populations, resp.). Results. A significant association between the E23K variant and Type 2 diabetes was found (OR = 1.6, 95% CI = 1.14–2.27, and P = 0.007). Furthermore, our meta-analysis has confirmed the significant role of the E23K variant in susceptibility of Type 2 diabetes in Tunisian and Arab populations (OR = 1.29, 95% CI = 1.15–1.46, and P < 10−3 and OR = 1.33, 95% CI = 1.13–1.56, and P = 0.001, resp.). Conclusion. Both case-control and meta-analyses results revealed the significant association between the E23K variant of KCNJ11 and Type 2 diabetes among Tunisians and Arabs.
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Lack of replication of common EXT2 gene variants with susceptibility to type 2 diabetes in Lebanese Arabs. DIABETES & METABOLISM 2013; 39:532-6. [DOI: 10.1016/j.diabet.2013.05.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2013] [Revised: 04/07/2013] [Accepted: 05/04/2013] [Indexed: 11/18/2022]
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Almawi WY, Nemr R, Keleshian SH, Echtay A, Saldanha FL, AlDoseri FA, Racoubian E. A replication study of 19 GWAS-validated type 2 diabetes at-risk variants in the Lebanese population. Diabetes Res Clin Pract 2013; 102:117-22. [PMID: 24145053 DOI: 10.1016/j.diabres.2013.09.001] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Revised: 07/25/2013] [Accepted: 09/05/2013] [Indexed: 12/20/2022]
Abstract
AIM Recent genome-wide association scans (GWAS) and replication studies have expanded the list of validated type 2 diabetes (T2DM) susceptibility loci. We replicated T2DM association of 19 SNPs from 15 candidate loci in Lebanese Arabs. METHODS Case-control association study, comprising 995 T2DM patients and 1076 control participants. We genotyped by the allelic discrimination method 19 SNPs in/near ADAM30, NOTCH2, THADA, TMEFF2, COL8A1, ADAMTS9-AS2, WFS1, JAZF1, SLC30A8, KCNQ1, LOC387761, ALX4, TSPAN8, FTO, and HNF1. RESULTS Allele frequencies of the tested SNPs were comparable with those of Caucasians. COL8A1 rs792837 (P=2.9 × 10(-9)), KCNQ1 rs2237892 (P=1.8 × 10(-18)) and rs2237895 (P=0.002), ALX4 rs729287 (Pc=7.5 × 10(-5)), and HNF1 rs4430796 (P=0.003) were significantly associated with T2DM, with similar effect sizes to those of Europeans. While FTO rs8050136 and rs17817449, ADAMTS9 rs4607103, and WFS1 rs10010131 were initially associated with T2DM, this was lost upon multiple testing correction. The remaining variants were not associated with T2DM, possibly resulting from insufficient power to detect smaller allele effects. CONCLUSION In addition to previous findings on the association of IGF2BP2, CDKAL1, TCF7L2 variants with T2DM among Lebanese, here we extend these by validating the association of five additional loci with T2DM in Lebanese Arabs.
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Affiliation(s)
- Wassim Y Almawi
- Department of Medical Biochemistry, Arabian Gulf University, Manama, Bahrain.
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36
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da Silva Xavier G, Bellomo EA, McGinty JA, French PM, Rutter GA. Animal models of GWAS-identified type 2 diabetes genes. J Diabetes Res 2013; 2013:906590. [PMID: 23710470 PMCID: PMC3654344 DOI: 10.1155/2013/906590] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2013] [Accepted: 03/18/2013] [Indexed: 02/07/2023] Open
Abstract
More than 65 loci, encoding up to 500 different genes, have been implicated by genome-wide association studies (GWAS) as conferring an increased risk of developing type 2 diabetes (T2D). Whilst mouse models have in the past been central to understanding the mechanisms through which more penetrant risk genes for T2D, for example, those responsible for neonatal or maturity-onset diabetes of the young, only a few of those identified by GWAS, notably TCF7L2 and ZnT8/SLC30A8, have to date been examined in mouse models. We discuss here the animal models available for the latter genes and provide perspectives for future, higher throughput approaches towards efficiently mining the information provided by human genetics.
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Affiliation(s)
- Gabriela da Silva Xavier
- Section of Cell Biology, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Elisa A. Bellomo
- Section of Cell Biology, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London SW7 2AZ, UK
| | - James A. McGinty
- Biophotonics Section, Department of Physics, Imperial College London, London SW7 2AZ, UK
| | - Paul M. French
- Biophotonics Section, Department of Physics, Imperial College London, London SW7 2AZ, UK
| | - Guy A. Rutter
- Section of Cell Biology, Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, Imperial College London, London SW7 2AZ, UK
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Uma Jyothi K, Jayaraj M, Subburaj KS, Prasad KJ, Kumuda I, Lakshmi V, Reddy BM. Association of TCF7L2 gene polymorphisms with T2DM in the population of Hyderabad, India. PLoS One 2013; 8:e60212. [PMID: 23577093 PMCID: PMC3618330 DOI: 10.1371/journal.pone.0060212] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2012] [Accepted: 02/22/2013] [Indexed: 11/19/2022] Open
Abstract
We attempt to evaluate the nature of association of TCF7L2 gene variants with T2DM, for the first time in the population of Hyderabad, which is considered to be diabetic capital of India. It is a case-control study of the three SNPs of TCF7L2, rs7903146, rs12255372 and rs11196205, genotyped on Sequenom Massarray platform, in a sample of 758 patients and 621 controls. The risk allele frequency of the three SNPs was found to be significantly higher in the T2DM cases than controls, implicating susceptibility for diabetes (p<0.01). The greatest risk of developing the disease was conferred by rs7903146. Further, the logistic regression of genotypes of each SNP under log additive model, and the haplotypes constituted by at least one of the three risk alleles also show significantly greater risk of developing T2DM when compared to the wild type haplotype. Further, BMI and WHR emerge as significant covariates with confounding effects. The strong association of the TCF7L2 SNPs with T2DM is consistent with the findings among other Indian and Non-Indian populations, suggesting universal phenomena of its association across ethnic groups globally, both within and outside the Indian subcontinent, albeit the functional relevance of these SNPs needs yet to be established.
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Affiliation(s)
- Kommoju Uma Jyothi
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | - Maruda Jayaraj
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | - Kadarkarai Samy Subburaj
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | | | - Irgam Kumuda
- Molecular Anthropology Group, Biological Anthropology Unit, Indian Statistical Institute, Hyderabad, India
| | - Velaga Lakshmi
- 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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Ali S, Chopra R, Manvati S, Singh YP, Kaul N, Behura A, Mahajan A, Sehajpal P, Gupta S, Dhar MK, Chainy GBN, Bhanwer AS, Sharma S, Bamezai RNK. Replication of type 2 diabetes candidate genes variations in three geographically unrelated Indian population groups. PLoS One 2013; 8:e58881. [PMID: 23527042 PMCID: PMC3602599 DOI: 10.1371/journal.pone.0058881] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2012] [Accepted: 02/07/2013] [Indexed: 11/18/2022] Open
Abstract
Type 2 diabetes (T2D) is a syndrome of multiple metabolic disorders and is genetically heterogeneous. India comprises one of the largest global populations with highest number of reported type 2 diabetes cases. However, limited information about T2D associated loci is available for Indian populations. It is, therefore, pertinent to evaluate the previously associated candidates as well as identify novel genetic variations in Indian populations to understand the extent of genetic heterogeneity. We chose to do a cost effective high-throughput mass-array genotyping and studied the candidate gene variations associated with T2D in literature. In this case-control candidate genes association study, 91 SNPs from 55 candidate genes have been analyzed in three geographically independent population groups from India. We report the genetic variants in five candidate genes: TCF7L2, HHEX, ENPP1, IDE and FTO, are significantly associated (after Bonferroni correction, p<5.5E−04) with T2D susceptibility in combined population. Interestingly, SNP rs7903146 of the TCF7L2 gene passed the genome wide significance threshold (combined P value = 2.05E−08) in the studied populations. We also observed the association of rs7903146 with blood glucose (fasting and postprandial) levels, supporting the role of TCF7L2 gene in blood glucose homeostasis. Further, we noted that the moderate risk provided by the independently associated loci in combined population with Odds Ratio (OR)<1.38 increased to OR = 2.44, (95%CI = 1.67–3.59) when the risk providing genotypes of TCF7L2, HHEX, ENPP1 and FTO genes were combined, suggesting the importance of gene-gene interactions evaluation in complex disorders like T2D.
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Affiliation(s)
- Shafat Ali
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Rupali Chopra
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Shri Mata Vaishno Devi University, Katra, J&K, India
| | - Siddharth Manvati
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Shri Mata Vaishno Devi University, Katra, J&K, India
| | - Yoginder Pal Singh
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Guru Nanak Dev University, Amritsar, Punjab, India
| | - Nabodita Kaul
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Guru Nanak Dev University, Amritsar, Punjab, India
| | - Anita Behura
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Department of Biotechnology, Utkal University, Bhubaneshwar, Odisha, India
| | - Ankit Mahajan
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Jammu University, Jammu, J&K, India
| | | | | | | | - Gagan B. N. Chainy
- Department of Biotechnology, Utkal University, Bhubaneshwar, Odisha, India
| | | | - Swarkar Sharma
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Texas Scottish Rite Hospital, Dallas, Texas, United States of America
- School of Biology and Chemistry, Shri Mata Vaishno Devi University, Katra, J&K, India
- * E-mail: (SS); (RNKB)
| | - Rameshwar N. K. Bamezai
- National Centre of Applied Human Genetics, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India
- Shri Mata Vaishno Devi University, Katra, J&K, India
- * E-mail: (SS); (RNKB)
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