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Ragab HM, El Maksoud NA, Amin MA, Elaziz WA. Gene polymorphism of FTO rs8050136 and CDKAL1 rs10946398 and their association with type 2 diabetes mellitus in the Egyptian patients. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2023; 12:64. [DOI: 10.1186/s43088-023-00402-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/20/2023] [Indexed: 09/01/2023] Open
Abstract
Abstract
Background
An extensive quest for genetic variables impacting the susceptibility for type 2 diabetes mellitus (T2DM) and other cardiometabolic disorders has been sparked by the global growth in the frequency of those widespread ailments. Although the association between several SNPs and T2DM has been reported in prior research, little is known about the association between SNPs FTO rs8050136, and CDKAL1 rs10946398 and T2DM in Egyptian population. This study aims to investigate these two identified SNPs in Egyptian diabetic patients to ascertain their underlying genetic influences on T2DM. This study included 50 diabetic patients and 50 healthy subjects. Each individual underwent a clinical assessment and total body examination, laboratory investigations including liver enzymes, fasting blood sugar, glycated hemoglobin (HbA1C), and lipid profile. The DNA Purification Kit was used to separate genomic DNA from the whole blood. Gene polymorphism was detected via PCR-REFLP and PCR-AS methods.
Results
There was a significant association between the presence of the C allele in the FTO gene at rs8050136 and T2DM among studied people. The patient group had a considerably higher frequency of the FTO "AC" genotype and the "C" allele (P < 0.05). Additionally, only the wild-type homozygous “GG” of the CDKAL1 rs10946398 was found in all the studied cases.
Conclusions
The FTO "CC" genotype is significantly associated with T2DM in the Egyptian population. However, no association was detected between CDKAL1 rs10946398 and T2DM. This result may be attributed to the small sample size or the rare incidence of this SNP in the Egyptian population. The study suggests verifying the findings on a larger sample and looking into the relationship between T2DM and additional gene polymorphisms.
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Asghar A, Firasat S, Afshan K, Naz S. Association of CDKAL1 gene polymorphism (rs10946398) with gestational diabetes mellitus in Pakistani population. Mol Biol Rep 2023; 50:57-64. [PMID: 36301463 DOI: 10.1007/s11033-022-08011-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 10/06/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND CDK5 regulatory subunit associated protein 1 like 1 (CDKAL1) encodes a tRNA modifying enzyme involved in the proper protein translation and regulation of insulin production encoded by the CDKL gene. Sequence variations in the CDKAL1 gene lead to the misreading of the Lys codon in proinsulin, resulting in decreased glucose-stimulated proinsulin production. Various polymorphic sequence variants of the CDKAL1 gene such as rs7754840, rs7756992, rs9465871, and rs10946398 are reported to be associated with type 2 diabetes mellitus and gestational diabetes mellitus (GDM) incidence. One of these single nucleotide polymorphisms i.e., rs10946398 has been reported to impact the risk of GDM and its outcomes in pregnant women of different ethnicities i.e., Egypt, Chinese, Korean, Indian, Arab, and Malaysian. Numerous findings have shown that rs10946398 overturns the regulation of CDKAL1 expression, resulting in decreased insulin production and elevated risk of GDM. However, there is no data regarding rs10946398 genotype association with GDM incidence in our population. METHODOLOGY In this study, 47 GDM patients and 40 age-matched controls were genotyped for rs10946398 CDKAL1 variant using Tetra primer Amplification Refractory Mutation System Polymerase Chain Reaction (Tetra ARMS-PCR). RESULTS Analysis of the results showed the significant association of the C allele of CDKAL1 SNP rs10946398 (χ2 = 0.02 p = 0.001) with the risk of GDM development. Conclusively, the results support the role of SNP i.e., rs10946398 of CDKAL1 gene in GDM development in Pakistani female patients. However, future large-scale studies are needed to functionally authenticate the role of variant genotypes in the disease pathogenesis and progression.
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Affiliation(s)
- Aleesha Asghar
- Department of Zoology, Faculty of Biological Sciences, Quaid-I-Azam University, University Road, Islamabad, 45320, Pakistan
| | - Sabika Firasat
- Department of Zoology, Faculty of Biological Sciences, Quaid-I-Azam University, University Road, Islamabad, 45320, Pakistan.
| | - Kiran Afshan
- Department of Zoology, Faculty of Biological Sciences, Quaid-I-Azam University, University Road, Islamabad, 45320, Pakistan
| | - Shagufta Naz
- Department of Zoology, Lahore College for Women University, Lahore, Pakistan
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Falih Z, Khodair BAW, Mohammed NI, Mohammed TK. Insulin-like Growth Factor-2 Binding Protein-2 Gene Polymorphisms in Iraqi Patients with Type 2 Diabetes Mellitus. Open Access Maced J Med Sci 2022. [DOI: 10.3889/oamjms.2022.9754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Background: Diabetes mellitus type2 (T2DM) represent a hyperglycemia causing metabolic disease which exists in the peripheral tissues due to incomplete pancreatic insulin secretion or insulin resistance. IGF2BP2 is a protein that is involved in embryogenesis and pancreatic development. Genetic association researches had suggested that the single nucleotide polymorphisms (SNP) spanning IGF2BP2 gene are associated with the progression as well as development of the T2DM.
Aim: This study aims to evaluate the association of IGF2BP2 gene polymorphisms (rs4402960 & rs1470579) with T2DM in a sample of Iraqi individuals.
Methods: A case-control study has been conducted on 800 participants, they were divided to two equal groups, which are a healthy control group (400) and type 2 diabetic patients (400). Fast blood sugar (FBS), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and HbA1c] measured suitable for both participant groups. IGF2BP2 gene has been genotyped for polymorphisms; rs4402960 and rs1470579 by using the PCR-RFLP technique.
Results: There is significant changes in the biochemical parameters in patients group when compared to the control group.The SNP rs4402960 show minor allele frequency of T allele considerably different between the two participating groups (p 0.0013) with 33.6 % in T2DM group. Homo-variant TT shows a significant p <0.0001) odd ratio (4.5) as codominant type. Similarly, dominant and recessive models exert significant (0.02 & <0.0001 respectively) adjusted odd ratio (1.45 & 4.14 respectively). The rs1470579 SNP show a significant (0.024) risk (1.28) of C allele in the patients group than in A allele. The CC genotype in codominant and recessive models show significant (0.03) odd ratio differences (2.03 & 1.96 respectively. The rs1470579 SNP exerts significant differences as codominant model in biochemical features of BMI, FBG, Tgs, VLDL-C, insulin and HOMA-IR. The study power of rs4402960 is 69.5% and rs1470579 is 34.1%.
Conclusion: This study confirmed the association of rs4402960 as codominant, dominant and recessive with T2DM significantly. However, rs1470579 is associate as recessive model with T2DM in Iraqi population.
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Liu C, Lai Y, Guan T, Zhan J, Pei J, Wu D, Ying S, Shen Y. Associations of ATP-Sensitive Potassium Channel’s Gene Polymorphisms With Type 2 Diabetes and Related Cardiovascular Phenotypes. Front Cardiovasc Med 2022; 9:816847. [PMID: 35402560 PMCID: PMC8984103 DOI: 10.3389/fcvm.2022.816847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
Type 2 diabetes (T2D) is characterized by increased levels of blood glucose but is increasingly recognized as a heterogeneous disease, especially its multiple discrete cardiovascular phenotypes. Genetic variations play key roles in the heterogeneity of diabetic cardiovascular phenotypes. This study investigates possible associations of ATP-sensitive potassium channel (KATP) variants with cardiovascular phenotypes among the Chinese patients with T2D. Six hundred thirty-six patients with T2D and 634 non-diabetic individuals were analyzed in the study. Nine KATP variants were determined by MassARRAY. The KATP rs2285676 (AA + GA, OR = 1.43, 95% CI: 1.13–1.81, P = 0.003), rs1799858 (CC, OR = 1.42, 95% CI: 1.12–1.78, P = 0.004), and rs141294036 (CC, OR = 1.45, 95% CI: 1.15–1.83, P = 0.002) are associated with increased T2D risk. A follow-up of at least 45.8-months (median) indicates further association between the 3 variants and risks of diabetic-related cardiovascular conditions. The associations are categorized as follows: new-onset/recurrent acute coronary syndrome (ACS) (rs2285676/AA + GA, HR = 1.37, 95% CI: 1.10–1.70, P = 0.005; rs141294036/TT + CT, HR = 1.59, 95% CI: 1.28–1.99, P < 0.001), new-onset stroke (rs1799858/CC, HR = 2.58, 95% CI: 1.22–5.43, P = 0.013; rs141294036/CC, HR = 2.30, 95% CI: 1.16–4.55, P = 0.017), new-onset of heart failure (HF) (rs1799858/TT + CT, HR = 2.78, 95% CI: 2.07–3.74, P < 0.001; rs141294036/TT + CT, HR = 1.45, 95% CI: 1.07–1.96, P = 0.015), and new-onset atrial fibrillation (AF) (rs1799858/TT + CT, HR = 2.05, 95% CI: 1.25–3.37, P = 0.004; rs141294036/CC, HR = 2.31, 95% CI: 1.40–3.82, P = 0.001). In particular, the CC genotype of rs1799858 (OR = 2.38, 95% CI: 1.11–5.10, P = 0.025) and rs141294036 (OR = 1.95, 95% CI: 1.04–3.66, P = 0.037) are only associated with the risk of ischemic stroke while its counterpart genotype (TT + CT) is associated with the risks of HF with preserved ejection fraction (HFpEF) (rs1799858, OR = 3.46, 95% CI: 2.31–5.18, P < 0.001) and HF with mildly reduced ejection fraction (HFmrEF) (rs141294036, OR = 2.74, 95% CI: 1.05–7.15, P = 0.039). Furthermore, the 3 variants are associated with increased risks of abnormal serum levels of triglyceride (TIRG) (≥ 1.70 mmol/L), low-density lipoprotein cholesterol (LDL-C) (≥ 1.40 mmol/L), apolipoprotein B (ApoB) (≥ 80 mg/dL), apolipoprotein A-I (ApoA-I) level (< 120 mg/dL), lipoprotein(a) Lp(a) (≥ 300 mg/dL) and high-sensitivity C-reactive protein (HsCRP) (≥ 3.0 mg/L) but exhibited heterogeneity (all P < 0.05). The KATP rs2285676, rs1799858, and rs141294036 are associated with increased risks of T2D and its related cardiovascular phenotypes (ACS, stroke, HF, and AF), but show heterogeneity. The 3 KATP variants may be promising markers for diabetic cardiovascular events favoring “genotype-phenotype” oriented prevention and treatment strategies.
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Affiliation(s)
- Cheng Liu
- Department of Cardiology, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
- *Correspondence: Cheng Liu,
| | - Yanxian Lai
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Tianwang Guan
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Junfang Zhan
- Department of Health Management Center, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
| | - Jingxian Pei
- Department of Cardiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Daihong Wu
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Songsong Ying
- Department of Gastroenterology, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
| | - Yan Shen
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
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Fadheel HK, Kaftan AN, Naser FH, Hussain MK, Algenabi AHA, Mohammad HJ, Al-Kashwan TA. Association of CDKN2A/B gene polymorphisms (rs10811661 and rs2383208) with type 2 diabetes mellitus in a sample of Iraqi population. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2022. [DOI: 10.1186/s43042-022-00283-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Type 2 diabetes mellitus (T2DM) is chronic metabolic disorder manifested by increased blood glucose (hyperglycemia) due to pancreatic β-cell dysfunction and/or decreased sensitivity of peripheral tissue to insulin. T2DM is a multifactorial disease that may results from interaction of environmental and genetic factors.
Methods
A case–control study consisting of 400 T2DM patients in addition to 400 as control. Phenotyping as well as anthropometric data included body mass index BMI, fasting plasma glucose (FPG), serum total cholesterol, serum triglyceride, VLDL, LDL, HDL insulin levels and Homeostatic Model Assessment for Insulin Resistance HOMA-IR were estimated for the two groups. PCR–RFLP was used to carry out genotyping of CDKN2A/B gene (rs10811661 T>C and rs2383208 A>G) SNPs.
Results
For rs10811661 SNP the genotype and allele frequencies of CDKN2A/B gene for T2DM and control subjects showed that the co-dominant model in patients with the homozygous (TT) was found to be significantly (OR 2.51, 95% CI 1.47–4.24, P 0.004) higher than those in control group. In contrast, the heterozygous genotype (TC) did not reveal this significance (OR 1.14, 95% CI 0.77–2.62, P = 0.13), ANOVA test for mean comparison of biochemical markers under the co-dominant model of rs10811661 SNP genotype in CDKN2A/B gene, revealed a significant difference for insulin (P < 0.0001) and HOMA-IR (P < 0.0001) in T2DM group as compared to control one; However (rs2383208) SNP did not show any significant association with T2DM and with the measured biochemical marker at any model.
Conclusions
CDKN2A/B gene rs10811661 SNP was implicated in T2DM pathogenesis in this sample of Iraqi population also it affects insulin level in those patients, whereas the rs2383208 SNP did not impact the disease.
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The association between FTO polymorphisms and type 2 diabetes in Asian populations: A meta-analysis. Meta Gene 2021. [DOI: 10.1016/j.mgene.2021.100958] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
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Lan C, Tang H, Liu S, Ma L, Li J, Wang X, Hou Y. Comprehensive analysis of prognostic value and immune infiltration of calpains in pancreatic cancer. J Gastrointest Oncol 2021; 12:2600-2621. [PMID: 35070391 PMCID: PMC8748070 DOI: 10.21037/jgo-21-705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/01/2021] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Calpains (CAPNs) are intracellular calcium-activated neutral cysteine proteinases involved in cancer initiation, progression, and metastasis. However, its role in pancreatic cancer (PC) is still unclear. This study aims to identify the prognostic value and immune infiltration of CAPNs for PC patients using comprehensive bioinformatics analyzes. METHODS We analyzed the transcription levels of CAPNs in different cancers from Oncomine, differential gene expression in tumor/normal tissues and pathological stage through GEPIA database, the prognostic value of the mRNA expression of CAPNs by Kaplan-Meier plotter, the protein expression comparison of different CAPNs in human tumor/normal tissues from The Human Protein Atla, the CAPNs gene alterations through cBioPortal, the prediction of protein-protein interactions by STRING and GeneMANIA, the functional enrichment of discrepant CAPNs by GO and KEGG, and the immune infiltration of CAPNs by ssGSEA. RESULTS Our results showed that CAPN1, 2, 4, 5, 6, 8, 9, 10, and 12 were highly expressed in PC. CAPN1, 5, 8, and 12 expression levels were positively correlated with individual cancer stages. Furthermore, CAPN1, 2, 5, and 8 expression levels were negatively correlated with overall survival (OS) and recurrence-free survival (RFS), while CAPN10 was positively correlated with OS and RFS. We found that CAPN1, 2, 5, and 8 were correlated with tumor-infiltrating T follicular helper cells and CAPN10 with tumor-infiltrating T helper 2 cells. Functional enrichment analysis showed that differentially expressed CAPNs (CAPN1, 2, 5, 8, and 10) are involved in axonogenesis, cell-substrate adhesion, immune response-activating cell surface receptor signaling pathway, and cell junction organization in PC. CONCLUSIONS These results suggested that CAPN1, 2, 5, 8, and 10 could be used as prognostic biomarkers in PC and improve individualized treatment strategies.
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Affiliation(s)
- Chuan Lan
- Department of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Haoyou Tang
- Department of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Sheng Liu
- Department of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Lin Ma
- Department of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jianshui Li
- Department of Hepatobiliary Surgery and Center of Severe Acute Pancreatitis, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xi Wang
- Department of Organ Transplantation, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
| | - Yifu Hou
- Department of Organ Transplantation, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China
- Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province & Organ Transplantation Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
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Hegazy WAH, Rajab AAH, Abu Lila AS, Abbas HA. Anti-diabetics and antimicrobials: Harmony of mutual interplay. World J Diabetes 2021; 12:1832-1855. [PMID: 34888011 PMCID: PMC8613656 DOI: 10.4239/wjd.v12.i11.1832] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/26/2021] [Accepted: 10/25/2021] [Indexed: 02/06/2023] Open
Abstract
Diabetes is one of the four major non-communicable diseases, and appointed by the world health organization as the seventh leading cause of death worldwide. The scientists have turned over every rock in the corners of medical sciences in order to come up with better understanding and hence more effective treatments of diabetes. The continuous research on the subject has elucidated the role of immune disorders and inflammation as definitive factors in the trajectory of diabetes, assuring that blood glucose adjustments would result in a relief in the systemic stress leading to minimizing inflammation. On a parallel basis, microbial infections usually take advantage of immunity disorders and propagate creating a pro-inflammatory environment, all of which can be reversed by antimicrobial treatment. Standing at the crossroads between diabetes, immunity and infection, we aim in this review at projecting the interplay between immunity and diabetes, shedding the light on the overlapping playgrounds for the activity of some antimicrobial and anti-diabetic agents. Furthermore, we focused on the anti-diabetic drugs that can confer antimicrobial or anti-virulence activities.
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Affiliation(s)
- Wael A H Hegazy
- Department of Microbiology and Immunology, Zagazig University, Zagzig 44519, Egypt
| | - Azza A H Rajab
- Department of Microbiology and Immunology, Zagazig University, Zagzig 44519, Egypt
| | - Amr S Abu Lila
- Department of Pharmaceutics, Zagazig University, Faculty of Pharmacy, Zagzig 44519, Egypt
- Department of Pharmaceutics, College of Pharmacy, University of Hail, Hail 81442, Saudi Arabia
| | - Hisham A Abbas
- Department of Microbiology and Immunology, Zagazig University, Zagzig 44519, Egypt
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Huang S, Qin P, Chen Q, Zhang D, Cheng C, Guo C, Li Q, Zhou Q, Tian G, Qie R, Han M, Wu X, Yang X, Feng Y, Li Y, Zhang Y, Wu Y, Liu D, Lu J, Zhang M, Zhao Y, Hu D. Association of FTO gene methylation with incident type 2 diabetes mellitus: A nested case-control study. Gene 2021; 786:145585. [PMID: 33753148 DOI: 10.1016/j.gene.2021.145585] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 03/05/2021] [Accepted: 03/12/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVES This study aimed to investigate the association of FTO methylation level with type 2 diabetes mellitus (T2DM) in a nested case-control study. METHODS This nested case-control study included 287 pairs of T2DM cases and controls identified from a rural Chinese cohort study with a 6-year follow-up. Controls were matched to the cases on a 1:1 basis by age, sex, ethnicity, marital status, and residence. Conditional multivariate logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of cytosine guanine (CpG) locus and tag-single nucleotide polymorphisms (Tag-SNPs) with T2DM. Spearman correlation analysis was used to evaluate the association between FTO methylation and possible risk factors for T2DM in the control group. RESULTS The methylation level on the CpG9 site significantly differs between cases and controls, with a significant association between the CpG9 site methylation and probability of T2DM: OR 2.19 (95%CI: 1.31-3.65) after adjusting for potential confounders. The Tag-SNPs (rs72803657, rs1558902, rs17817449, rs11076023) were not associated with T2DM. Further, FTO methylation was associated with some risk factors for T2DM. CONCLUSIONS A CpG locus of FTO was positively associated with T2DM, but SNPs were not. FTO methylation were also associated with some T2DM risk factors. Further study with a large sample size and data on metabolic product are needed to confirm the association.
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Affiliation(s)
- Shengbing Huang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Pei Qin
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Qing Chen
- Department of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Dongdong Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Cheng Cheng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chunmei Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Quanman Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Qionggui Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Gang Tian
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ranran Qie
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Minghui Han
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xiaoyan Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Xingjin Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Li
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yanyan Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Dechen Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jie Lu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Dongsheng Hu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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Benberin VV, Vochshenkova TA, Abildinova GZ, Borovikova AV, Nagimtayeva AA. Polymorphic genetic markers and how they are associated with clinical and metabolic indicators of type 2 diabetes mellitus in the Kazakh population. J Diabetes Metab Disord 2021; 20:131-140. [PMID: 34178825 DOI: 10.1007/s40200-020-00720-z] [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: 08/06/2020] [Accepted: 12/28/2020] [Indexed: 10/22/2022]
Abstract
Background Type 2 diabetes mellitus is a serious public health problem worldwide. The aim of the study was to analyze the relationship of eight polymorphic gene variants with the development of clinical-metabolic rates of type 2 diabetes mellitus inside Kazakh population. Materials and methods 139 patients with type 2 diabetes mellitus and 100 patients in the control group were examined. Genotyping of polymorphisms of candidate genes was carried out on a next generation QuantStudio 12 K Flex unit. Results Gene TCF7L2 locus rs7901695 and rs7903146, gene KCNQ1 locus rs2237892, rs7756992, and gene CDKAL1 locus rs7754840 demonstrated statistically significant associations with glucose metabolism, lipid profile and body mass index (BMI) in type 2 DM inside the population. Statistically significant difference in anthropometric and biochemical measures of rs17584499, rs4712523 and rs163184 has not been revealed. Conclusions Genetic polymorphisms that influence pancreatic gland beta-cells insulin release and secretion associate with metabolic and anthropometric measures definitive for type 2 DM in Kazakh population.
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Affiliation(s)
- Valeriy V Benberin
- Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Tamara A Vochshenkova
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Gulshara Zh Abildinova
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Anna V Borovikova
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
| | - Almagul A Nagimtayeva
- Gerontology Center, Medical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Nur-Sultan, 80 Mangilik El Avenue / E495 bld. 2, Nur-Sultan, 010000 Republic of Kazakhstan
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A Novel Mapping Strategy Utilizing Mouse Chromosome Substitution Strains Identifies Multiple Epistatic Interactions That Regulate Complex Traits. G3-GENES GENOMES GENETICS 2020; 10:4553-4563. [PMID: 33023974 PMCID: PMC7718749 DOI: 10.1534/g3.120.401824] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The genetic contribution of additive vs. non-additive (epistatic) effects in the regulation of complex traits is unclear. While genome-wide association studies typically ignore gene-gene interactions, in part because of the lack of statistical power for detecting them, mouse chromosome substitution strains (CSSs) represent an alternate approach for detecting epistasis given their limited allelic variation. Therefore, we utilized CSSs to identify and map both additive and epistatic loci that regulate a range of hematologic- and metabolism-related traits, as well as hepatic gene expression. Quantitative trait loci (QTL) were identified using a CSS-based backcross strategy involving the segregation of variants on the A/J-derived substituted chromosomes 4 and 6 on an otherwise C57BL/6J genetic background. In the liver transcriptomes of offspring from this cross, we identified and mapped additive QTL regulating the hepatic expression of 768 genes, and epistatic QTL pairs for 519 genes. Similarly, we identified additive QTL for fat pad weight, platelets, and the percentage of granulocytes in blood, as well as epistatic QTL pairs controlling the percentage of lymphocytes in blood and red cell distribution width. The variance attributed to the epistatic QTL pairs was approximately equal to that of the additive QTL; however, the SNPs in the epistatic QTL pairs that accounted for the largest variances were undetected in our single locus association analyses. These findings highlight the need to account for epistasis in association studies, and more broadly demonstrate the importance of identifying genetic interactions to understand the complete genetic architecture of complex traits.
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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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Liu X, Liang J, Geng H, Xu W, Teng F, Yang M. Association of the CDKAL1 polymorphism rs10946398 with type 2 diabetes mellitus in adults: A meta-analysis. Medicine (Baltimore) 2020; 99:e21383. [PMID: 32791750 PMCID: PMC7387030 DOI: 10.1097/md.0000000000021383] [Citation(s) in RCA: 5] [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] [Indexed: 01/14/2023] Open
Abstract
Previous studies had reported that the CDKAL1 (cyclin-dependent kinase 5 (CDK5) regulatory subunit-associated protein 1-like 1) rs10946398 C/A polymorphism associated with type 2 diabetes mellitus (T2DM) in various ethnic groups, however, inconsistent results have been obtained in studies of different populations.We performed a meta-analysis of 13 studies for rs10946398 of CDKAL1 on genetic susceptibility for T2DM.The results showed that CDKAL1 rs10946398 C/A polymorphism associated with T2DM under allelic (odds risk (OR): 1.17, 95% CI: 1.07-1.28, P = .0007), homozygous (OR: 1.39, 95% CI: 1.15-1.69, P = .0008), and dominant models (OR: 1.26, 95% CI: 1.09-1.46, P = .001).We found that rs10946398 C/A polymorphism was associated with T2DM, and this association was significantly in population of western country (Europe and United States) and Asian populations.
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Affiliation(s)
- Xuekui Liu
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
| | - Jun Liang
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Houfa Geng
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Wei Xu
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Fei Teng
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Manqing Yang
- Department of Endocrinology, Xuzhou Clinical School of Xuzhou Medical College, Xuzhou Central Hospital, Affiliated Hospital of Southeast University
- Department of endocrinology, Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
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Mustafa S, Younus D. Association of TCF7L2 rs7903146 Polymorphism with the Risk of Type 2 Diabetes Mellitus (T2DM) Among Kurdish Population in Erbil Province, Iraq. Indian J Clin Biochem 2020; 36:312-318. [PMID: 34220006 DOI: 10.1007/s12291-020-00904-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 06/08/2020] [Indexed: 11/26/2022]
Abstract
The genetic predispositions responsible for developing type 2 diabetes mellitus (T2DM) in the Middle East are poorly understood. The rs7903146 single nucleotide polymorphism (SNP) located in transcription factor 7-like-2 (TCF7L2) gene has been recognized to have a vital role in the development of T2DM disorder. The current study is the first to have researched the possible association between TCF7L2 rs7903146 SNP and T2DM among Kurdish population in Kurdistan region of Iraq. The study included 212 participants, half of them were T2DM patients, and the other half were disease-free and normoglycemic controls. Genotyping was performed by using a high throughput cost and time effective tetra-primer amplification refractory mutation system-polymerase chain reaction (Tetra ARMS-PCR) assay. The rs7903146 genotypic frequencies for CC, CT and TT were 24.5%, 69.8%, and 5.7% in T2DM group respectively, and for the controls were 45.3%, 50.9%, and 3.8% respectively. The frequency of CT genotype was found significantly higher in the cases when compared to the controls (OR = 2.53, 95% CI 1.40-4.57, P value < 0.0019), which indicated that the genotype CT showed risk with diabetes. The T allele showed a high significant frequency in the patients compared to the controls (OR = 1.65, 95% CI 1.10-2.47, P value = 0.014). Our findings demonstrated that the T allele could be a risk factor for increasing the susceptibility of T2DM incidence among the Iraqi Kurdish population.
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Affiliation(s)
- Suhad Mustafa
- General Directorate for Scientific Research, Salahaddin University- Erbil, Erbil, Kurdistan Region Iraq
| | - Delan Younus
- General Directorate for Scientific Research, Salahaddin University- Erbil, Erbil, Kurdistan Region Iraq
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Domínguez-Cruz MG, Muñoz MDL, Totomoch-Serra A, García-Escalante MG, Burgueño J, Valadez-González N, Pinto-Escalante D, Díaz-Badillo A. Maya gene variants related to the risk of type 2 diabetes in a family-based association study. Gene 2020; 730:144259. [PMID: 31759989 DOI: 10.1016/j.gene.2019.144259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 11/06/2019] [Accepted: 11/07/2019] [Indexed: 12/01/2022]
Abstract
Mexican Maya populations have a notably high prevalence of type 2 diabetes (T2D) as a consequence of the interaction between environmental factors and a genetic component. To assess the impact of 24 single nucleotide variants (SNVs) located in 18 T2D risk genes, we conducted a family-based association evaluation in samples from Maya communities with a high incidence of the disease. A total of four hundred individuals were recruited from three Maya communities with a high T2D incidence. Family pedigrees (100) and 49 nuclear families were included. Genotyping was performed by allelic discrimination with TaqMan probes. This study also included the family-based association test (FBAT) statistic U to assess the genetic associations with T2D, and the multivariate statistical and haplotype analyses. A positive association with TD2 risk was found for WFS1 rs6446482 (p = 0.046, Z = 1.994) under an additive model, and SIRT1 rs7896005 (p = 0.038, Z = 2.073) under the dominant model. Multivariate model analysis, including T2D status, age, and body mass index (BMI), displayed significant covariance in PPARGC-1α rs8192678; SIRT1 rs7896005; TCF7L2 rs7903146 and rs122243326; UCP3 rs3781907; and HHEX rs1111875 with a P < 0.05. This study revealed an association of SIRT1 and WFS1 with T2D risk.
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Affiliation(s)
- Miriam G Domínguez-Cruz
- Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico
| | - María de Lourdes Muñoz
- Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.
| | - Armando Totomoch-Serra
- Department of Genetics and Molecular Biology, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico; PhD Program in Medical Sciences, Universidad de La Frontera, Chile
| | - María G García-Escalante
- Laboratorios de Genética y Hematología, Centro de Investigaciones Regionales "Dr. Hideyo Noguchi", Universidad Autónoma de Yucatán, Mérida, Yucatán, Mexico
| | - Juan Burgueño
- Centro Internacional de Mejoramiento de Maíz y Trigo, El Batán, Texcoco, State of Mexico, Mexico
| | - Nina Valadez-González
- Laboratorios de Genética y Hematología, Centro de Investigaciones Regionales "Dr. Hideyo Noguchi", Universidad Autónoma de Yucatán, Mérida, Yucatán, Mexico
| | - Doris Pinto-Escalante
- Laboratorios de Genética y Hematología, Centro de Investigaciones Regionales "Dr. Hideyo Noguchi", Universidad Autónoma de Yucatán, Mérida, Yucatán, Mexico
| | - Alvaro Díaz-Badillo
- Maestría en Salud Publica, Universidad México Americana del Norte, Reynosa, Tamaulipas, Mexico; Department of Epidemiology, Human Genetics & Environmental Sciences, The University of Texas Health Science Center at Houston, Brownville, TX, USA
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Tian Y, Xu J, Huang T, Cui J, Zhang W, Song W, Chen H, Huang P, Yang S, Wang L, He X, Wang L, Cui W. A Novel Polymorphism (rs35612982) in CDKAL1 Is a Risk Factor of Type 2 Diabetes: A Case-Control Study. Kidney Blood Press Res 2019; 44:1313-1326. [PMID: 31639799 DOI: 10.1159/000503175] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 09/05/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The interaction of environmental factors and genetic factors may contribute to the risk of type 2 diabetes (T2D). We aimed to investigate whether age, gender, body mass index (BMI) and lifestyle factors have an effect on the association between the CDKAL1 polymorphisms and T2D. METHODS Eight single nucleotide polymorphisms in CDKAL1 were genotyped by Agena MassARRAY in 508 T2D patients and 503 controls. The association between the CDKAL1 polymorphisms and T2D was evaluated using logistic regression model by calculating OR and 95% CIs. RESULTS We found a significant association between CDKAL1 polymorphisms (rs4712523, OR 1.42, p = 9.44 × 10-5; rs4712524, OR 1.38, p = 3.28 × 10-4; rs10946398, OR 1.43, p = 6.21 × 10-5; rs7754840, OR 1.43, p = 6.33 × 10-5; rs35612982, OR 1.34, p = 0.0010; and rs10440833, OR 1.32, p = 0.0018) and T2D risk among the Han population from Northwest China. We also found that genetic variants of CDKAL1 could modify the risk of T2D that might be influenced by age, BMI and the status of smoking and drinking. Besides, rs35612982-CT (p = 0.038) and rs10440833-AT (p = 0.044) genotypes were higher insulin level. CONCLUSION CDKAL1 rs35612982 (C/T) polymorphism, as a new polymorphism, was associated with the increased risk of T2D in the Han Chinese population. Moreover, the contribution of CDKAL1 polymorphisms to T2D risk seems to be associated with age, gender, BMI, smoking and drinking.
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Affiliation(s)
- Yanni Tian
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Xu
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ting Huang
- Department of Nursing, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jiaqi Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei Zhang
- Department of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University Xi'an, Xi'an, China
| | - Wei Song
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huan Chen
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Pan Huang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shujun Yang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lu Wang
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xin He
- Department of Endocrinology, Xi'an Aerospace General Hospital, Xi'an, China
| | - Lin Wang
- Department of Endocrinology, Xi'an Gaoxin Hospital, Xi'an, China
| | - Wei Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China,
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Al Ali M, El hajj Chehadeh S, Osman W, Almansoori K, Abdulrahman M, Tay G, Alsafar H. Investigating the association of rs7903146 of TCF7L2 gene, rs5219 of KCNJ11 gene, rs10946398 of CDKAL1 gene, and rs9939609 of FTO gene with type 2 diabetes mellitus in Emirati population. Meta Gene 2019. [DOI: 10.1016/j.mgene.2019.100600] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Abuhendi N, Qush A, Naji F, Abunada H, Al Buainain R, Shi Z, Zayed H. Genetic polymorphisms associated with type 2 diabetes in the Arab world: A systematic review and meta-analysis. Diabetes Res Clin Pract 2019; 151:198-208. [PMID: 30954515 DOI: 10.1016/j.diabres.2019.03.037] [Citation(s) in RCA: 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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Association of FTO Gene Variant (rs8050136) with Type 2 Diabetes and Markers of Obesity, Glycaemic Control and Inflammation. J Med Biochem 2019; 38:153-163. [PMID: 30867643 PMCID: PMC6410997 DOI: 10.2478/jomb-2018-0023] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 06/04/2018] [Indexed: 01/03/2023] Open
Abstract
Background FTO, a gene recently discovered in genomewide associated studies for type 2 diabetes mellitus (T2D), play an important role in the management of energy homeostasis, nucleic acid demethylation and regulation of body fat mass by lipolysis. The aim of this study was to analyze the association of FTO rs8050136 A>C genetic variant with clinical and biochemical parameters of T2D in the population of West Balkan region (Bosnians and Herzegovinians and Kosovars). Methods The study included 638 patients with T2D and prediabetes and 360 healthy controls of both genders, aged from 40 to 65 years. Patients were recruited at the Clinical Centre University of Sarajevo, University Hospital of Clinical Centre in Banja Luka, General Hospital in Tešanj and Health Centre in Prizren. Genotyping of analyzed FTO polymorphism rs8050136 A>C was performed by qPCR allelic discrimination. Results Genotype frequencies of the analyzed polymorphism were comparable between patients with T2D, prediabetic patients, and healthy population. Logistic regression analyses didn’t show significant association of FTO rs8050136 A allele with increased risk of T2D. However, risk A allele was significantly associated with higher levels of HbA1c, insulin, HOMA-IR index, diastolic blood pressure, and inflammatory markers (fibrinogen and leukocytes) as well as showed tendency of association with increased values of obesity markers (BMI, waist and hip circumference). Conclusions Results of our study showed a significant association of FTO genetic variant rs8050136 A>C with the major markers of insulin resistance, obesity and inflammation, opening new avenues for solving many unclear questions in the pathogenesis of T2D.
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Musambil M, Siddiqui K. Genetics and genomics studies in type 2 diabetes: A brief review of the current scenario in the Arab region. Diabetes Metab Syndr 2019; 13:1629-1632. [PMID: 31336532 DOI: 10.1016/j.dsx.2019.03.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 03/12/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Type 2 diabetes (T2D) is a polygenic and multi-factorial complex disease, the challenge to find genetic markers that could explain the risk of development of this disease still remains unresolved. The Arab region is one among the populations with a high prevalence of T2D and a large number of studies have been carried out in exploring the genetic factors associated with T2D risk. AIM To summarize the recent developments in the Arab world based on the recent studies that had looked into genetic factors associated with the development of T2D in the Arab populations. METHODS A systematic literature search was conducted to identify studies published between 2015 and 2018 reporting genetic factors or polymorphisms associated with the risk of T2D in the Arab world. The online databases PubMed and Web of Science were used to perform the literature search. CONCLUSION The present study has evaluated 14 studies published during the year 2015-2018. Studies from Egypt, Iraq, Jordan, Oman, Qatar, Saudi Arabia, Tunisia, and United Arab Emirates had been explored studying the associations of GIPR, ADIPOQ, FTO, (GRCh38.p12), MLXIP, AKNAD1, KCNJ11 CDKAL1, CDKN2A/2B, TCF7L2, ACE, SNAP25, ELMO1, VDR, KCTD8, GABRA4 and PRKD1 genes with T2D development.
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Affiliation(s)
- Mohthash Musambil
- Strategic Center for Diabetes Research, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
| | - Khalid Siddiqui
- Strategic Center for Diabetes Research, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
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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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Genome-wide implicated risk variants of TCF7L2 gene contribute to type 2 diabetes susceptibility by modulating serum lipids in Pakistani population. Int J Diabetes Dev Ctries 2018. [DOI: 10.1007/s13410-018-0694-2] [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: 10/28/2022] Open
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23
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Nfor ON, Wu MF, Lee CT, Wang L, Liu WH, Tantoh DM, Hsu SY, Lee KJ, Ho CC, Debnath T, Lung CC, Liaw YP. Body mass index modulates the association between CDKAL1 rs10946398 variant and type 2 diabetes among Taiwanese women. Sci Rep 2018; 8:13235. [PMID: 30185902 PMCID: PMC6125600 DOI: 10.1038/s41598-018-31415-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 08/14/2018] [Indexed: 12/14/2022] Open
Abstract
CDKAL1 rs10946398 is a type 2 diabetes (T2D)-associated variant. It is a new body mass index (BMI)-associated variant in Asian populations. We investigated the association between rs10946398 and T2D among 9908 participants aged 30–70 years based on BMI: normal weight; 18.5 ≤ BMI < 24 kg/m2, overweight; 24 ≤ BMI < 27 kg/m2, and obesity; BMI ≥27 kg/m2. The CC genotype conferred a higher risk of T2D than the CA genotype. The odds ratios (ORs) were 1.83; 95% confidence interval (CI) 1.49–2.26 and 1.20; 95% CI 1.02–1.40, respectively. The C allele was the significant risk allele compared with A allele (OR = 1.32; 95% CI 1.19–1.47). For normal, overweight and obese participants with CC genotype, the ORs were respectively 1.69; 95% CI 1.02–2.81, 2.34; 95% CI 1.50–3.66, and 1.58; 95% CI 1.02–2.45 among men and 1.22; 95% CI 0.67–2.22, 2.42; 95% CI 1.30–4.52, and 2.3; 95% CI 1.19–4.50 among women. The C allele ORs were higher in obese and overweight women. In conclusion, the rs10946398 CC/CA genotypes, as well as the C allele increased the risk of T2D. The ORs were higher in women who were overweight and obese than in those with normal weight. Nonetheless, significant results were prominent only among those with CC genotype and C allele.
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Affiliation(s)
- Oswald Ndi Nfor
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Ming-Fang Wu
- School of Medicine, Chung Shan Medical University, Taichung City, Taiwan.,Divisions of Medical Oncology and Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung City, Taiwan
| | - Chun-Te Lee
- School of Medicine, Chung Shan Medical University, Taichung City, Taiwan.,Department of Psychiatry, Chung Shan Medical University Hospital, Taichung City, Taiwan
| | - Lee Wang
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Wen-Hsiu Liu
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Disline Manli Tantoh
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Shu-Yi Hsu
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Kuan-Jung Lee
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Chien-Chang Ho
- Department of Physical Education, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Tonmoy Debnath
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Chia-Chi Lung
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan
| | - Yung-Po Liaw
- Department of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung City, Taiwan. .,Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung City, Taiwan.
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A 1000 Arab genome project to study the Emirati population. J Hum Genet 2018; 63:533-536. [PMID: 29410509 PMCID: PMC5867278 DOI: 10.1038/s10038-017-0402-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2017] [Revised: 11/21/2017] [Accepted: 11/27/2017] [Indexed: 02/08/2023]
Abstract
Discoveries from the human genome, HapMap, and 1000 genome projects have collectively contributed toward the creation of a catalog of human genetic variations that has improved our understanding of human diversity. Despite the collegial nature of many of these genome study consortiums, which has led to the cataloging of genetic variations of different ethnic groups from around the world, genome data on the Arab population remains overwhelmingly underrepresented. The National Arab Genome project in the United Arab Emirates (UAE) aims to address this deficiency by using Next Generation Sequencing (NGS) technology to provide data to improve our understanding of the Arab genome and catalog variants that are unique to the Arab population of the UAE. The project was conceived to shed light on the similarities and differences between the Arab genome and those of the other ethnic groups.
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25
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Al-Serri A, Al-Bustan SA, Kamkar M, Thomas D, Alsmadi O, Al-Temaimi R, Mojiminiyi OA, Abdella NA. Association of FTO rs9939609 with Obesity in the Kuwaiti Population: A Public Health Concern? Med Princ Pract 2018; 27:145-151. [PMID: 29402776 PMCID: PMC5968256 DOI: 10.1159/000486767] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 01/08/2018] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To investigate the effect of the common fat mass and obesity-associated (FTO) gene polymorphism rs9939609 on body mass index (BMI) in one of the most obese populations worldwide. SUBJECTS AND METHODS Genotypic data for FTO rs9939609 were available for 1,034 unrelated Kuwaiti adults obtained from Kuwait's Dasman Diabetes Institute and Kuwait University. The association between the FTO polymorphism with BMI as continuous and categorical (normal BMI [< 25] vs. overweight/obese [> 25]) variables was analyzed using both linear and logistic regression models, respectively, with the assumption of both dominant and additive genetic models performed using the SNPassoc package from R statistics. RESULTS The A allele was associated with increased BMI (β = 1.21; 95% CI = 0.16-2.26; p = 0.023). In concordance, the categorical BMI (normal vs. overweight/obese) also showed a significant association between the A allele and overweight/obesity (OR = 1.47; 95% CI = 1.01-2.12; p = 0.041). However, no association between the FTO variant was observed with cardiometabolic traits. CONCLUSION We observed an association between the common FTO rs9939609 polymorphism and increased BMI (overweight/obesity) in Kuwaiti adults, which is consistent with previous research in other populations. Our findings encourage further investigation of genetic variants to elucidate the mechanisms involved in the development of obesity in such an obesogenic population.
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Affiliation(s)
- Ahmad Al-Serri
- Human Genetics Unit, Department of Pathology, Faculty of Medicine, Kuwait University, Safat, Kuwait
- *Ahmad Al-Serri, Human Genetics Unit, Department of Pathology, Faculty of Medicine, Kuwait University, PO Box 24923, Safat 13110 (Kuwait), E-Mail
| | - Suzanne A. Al-Bustan
- Department of Biological Sciences, Faculty of Science, Kuwait University, Safat, Kuwait
| | - Maisa Kamkar
- Genetics and Genomics Unit, Research Division, Dasman Diabetes Institute, Safat, Kuwait
| | - Daisy Thomas
- Genetics and Genomics Unit, Research Division, Dasman Diabetes Institute, Safat, Kuwait
| | | | - Rabeah Al-Temaimi
- Human Genetics Unit, Department of Pathology, Faculty of Medicine, Kuwait University, Safat, Kuwait
| | | | - Nabila A. Abdella
- Department of Medicine, Faculty of Medicine, Kuwait University, Safat, Kuwait
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Yang Y, Liu B, Xia W, Yan J, Liu HY, Hu L, Liu SM. FTO Genotype and Type 2 Diabetes Mellitus: Spatial Analysis and Meta-Analysis of 62 Case-Control Studies from Different Regions. Genes (Basel) 2017; 8:E70. [PMID: 28208657 PMCID: PMC5333059 DOI: 10.3390/genes8020070] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 02/06/2017] [Accepted: 02/07/2017] [Indexed: 02/08/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a global health problem that results from the interaction of environmental factors with genetic variants. Although a number of studies have suggested that genetic polymorphisms in the fat mass and obesity-associated (FTO) gene are associated with T2DM risk, the results have been inconsistent. To investigate whether FTO polymorphisms associate with T2DM risk and whether this association is region-related, we performed this spatial analysis and meta-analysis. More than 60,000 T2DM patients and 90,000 controls from 62 case-control studies were included in this study. Odds ratios (ORs), 95% confidence intervals (CIs) and Moran's I statistic were used to estimate the association between FTO rs9939609, rs8050136, rs1421085, and rs17817499, and T2DM risk in different regions. rs9939609 (OR = 1.15, 95% CI 1.11-1.19) and rs8050136 (OR = 1.14, 95% CI 1.10-1.18) conferred a predisposition to T2DM. After adjustment for body mass index (BMI), the association remained statistically significant for rs9939609 (OR = 1.11, 95% CI 1.05-1.17) and rs8050136 (OR = 1.08, 95% CI 1.03-1.12). In the subgroup analysis of rs9939609 and rs8050136, similar results were observed in East Asia, while no association was found in North America. In South Asia, an association for rs9939609 was revealed but not for rs8050136. In addition, no relationship was found with rs1421085 or rs17817499 regardless of adjustment for BMI. Moran's I statistic showed that significant positive spatial autocorrelations existed in rs9939609 and rs8050136. Studies on rs9939609 and rs8050136 focused on East Asia and South Asia, whereas studies on rs1421085 and rs17817499 were distributed in North America and North Africa. Our data suggest that the associations between FTO rs9939609, rs8050136 and T2DM are region-related, and the two single-nucleotide polymorphisms contribute to an increased risk of T2DM. Future studies should investigate this issue in more regions.
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Affiliation(s)
- Ying Yang
- Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Donghu Road 169#, Wuhan 430071, China.
| | - Boyang Liu
- Department of Geography, Wilkeson Hall, State University of New York at Buffalo, Buffalo, NY 14261, USA.
| | - Wei Xia
- Department of Clinical Laboratory, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430016, China.
| | - Jing Yan
- Hubei Meteorological Information and Technology Support Center, Wuhan 430074, China.
| | - Huan-Yu Liu
- Department of Clinical Medicine, Hubei University of Medicine, Hubei 442000, China.
| | - Ling Hu
- Department of Neurology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430016, China.
| | - Song-Mei Liu
- Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Donghu Road 169#, Wuhan 430071, China.
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El-Lebedy D, Ashmawy I. Common variants in TCF7L2 and CDKAL1 genes and risk of type 2 diabetes mellitus in Egyptians. J Genet Eng Biotechnol 2016; 14:247-251. [PMID: 30647622 PMCID: PMC6299909 DOI: 10.1016/j.jgeb.2016.10.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2016] [Revised: 09/21/2016] [Accepted: 10/17/2016] [Indexed: 12/19/2022]
Abstract
In this work we studied association of common variants in transcription factor 7-like 2 (TCF7L2) and cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) genes with type 2 diabetes mellitus (T2DM) in Egyptians. SUBJECTS AND METHODS This is a case-control study; 180 T2DM patients and 210 control subjects were genotyped for TCF7L2 rs7903146 and rs12255372 and CDKAL1 rs7756992 single nucleotide polymorphisms (SNPs) by TaqMan method on real time polymerase chain reaction system (real time-PCR). RESULTS TCF7L2 rs12255372 and rs7903146 associated with T2DM (p = 0.0001 and 0.003; respectively). The rs12255372 variant T allele associated with 2-fold increased risk for T2DM and TT genotype carriers were at 3.58-folds higher risk to develop T2DM than wild genotype (GG) carriers. Meanwhile, rs7903146 variant T allele associated with 1.6-fold increased risk for T2DM and TT genotype carriers were at 2.3-folds higher risk than wild genotype (CC) carriers. Both TCF7L2 SNPs significantly associated with T2DM under additive and dominant models and after adjustment for other covariates. On the other hand, CDKAL1 rs7756992 showed no significant association with T2DM under any genetic model. Both TCF7L2 SNPs were in strong LD (P = 0.02; D' = 0.85). Taking common TCF7L2 rs12255372/rs7903146 GC haplotype as reference, multivariate analysis confirmed the association of rs12255372 T allele-containing haplotypes (TC and TT) with T2DM. Haplotype TC associated with 6.32 times-higher risk for T2DM (95%CI = 0.55-76.17, Pc = 0.04) followed by haplotype TT which associated with 3.88 times-higher risk for the disease (95%CI = 1.09-13.76, Pc = 0.03). CONCLUSION TCF7L2 rs12255372 and rs7903146 common variants associate with T2DM risk in Egyptians.
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Affiliation(s)
- Dalia El-Lebedy
- Department of Clinical and Chemical Pathology, Medical Research Division, National Research Centre, Cairo, Egypt
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Al-Abri MA, Jaju D, Al-Sinani S, Al-Mamari A, Albarwani S, Al-Resadi K, Bayoumi R, Hassan M, Al-Hashmi K. Habitual Sleep Deprivation is Associated with
Type 2 Diabetes: A Case-Control Study. Oman Med J 2016; 31:399-403. [PMID: 27974953 DOI: 10.5001/omj.2016.81] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES It is suggested that a minimum of eight hours of sleep per night is needed for metabolism to work normally. The aim of the study was to determine the association of habitual sleep deprivation and type 2 diabetes mellitus (T2DM). METHODS We conducted a case-control study comparing patients with T2DM with age and sex matched healthy controls. Standard sleep questionnaires (the Berlin and Epworth Sleepiness Scale) and a weekly diary were used by patients to self-report habitual sleep. RESULTS A total of 172 diabetics and 188 healthy controls were enrolled in the study. There was a significant difference between T2DM and healthy controls in nocturnal sleep duration (p = 0.033). There was a significant association between nocturnal sleep duration of fewer than six hours and T2DM (χ2 = 14.0; p = 0.0001). There was no significant difference in daytime sleepiness and daytime naps between the T2DM and control groups (p = 0.452; p = 0.581, respectively). CONCLUSIONS A nocturnal sleep duration < 6 hours is associated with T2DM.
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Affiliation(s)
- Mohammed A Al-Abri
- Department of Clinical Physiology, Sultan Qaboos University Hospital, Muscat, Oman
| | - Deepali Jaju
- Department of Clinical Physiology, Sultan Qaboos University Hospital, Muscat, Oman
| | - Sawsan Al-Sinani
- Department of Biochemistry, Sultan Qaboos University Hospital, Muscat, Oman
| | - Ali Al-Mamari
- Department of Medicine, Sultan Qaboos University Hospital, Muscat, Oman
| | - Sulayma Albarwani
- Department of Clinical Physiology, Sultan Qaboos University Hospital, Muscat, Oman
| | - Khalid Al-Resadi
- Department of Biochemistry, Sultan Qaboos University Hospital, Muscat, Oman
| | - Riyadh Bayoumi
- Department of Biochemistry, Sultan Qaboos University Hospital, Muscat, Oman
| | - Mohammed Hassan
- Department of Biochemistry, Sultan Qaboos University Hospital, Muscat, Oman
| | - Khamis Al-Hashmi
- Department of Clinical Physiology, Sultan Qaboos University Hospital, Muscat, Oman
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Fan M, Li W, Wang L, Gu S, Dong S, Chen M, Yin H, Zheng J, Wu X, Jin J, Jiang X, Cai J, Liu P, Zheng C. Association of SLC30A8 gene polymorphism with type 2 diabetes, evidence from 46 studies: a meta-analysis. Endocrine 2016; 53:381-94. [PMID: 26832344 DOI: 10.1007/s12020-016-0870-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 01/13/2016] [Indexed: 11/30/2022]
Abstract
The solute carrier family 30 member 8 (SLC30A8) gene may be involved in the development of type 2 diabetes mellitus (T2DM) through disrupting β-cell function. The aim of this study was to assess the association between SLC30A8 rs13266634 polymorphism and susceptibility to T2DM. We searched all reports regarding the association between SLC30A8 rs13266634 polymorphism and T2DM risk through Pubmed, Embase, and the Cochrane Library for English language reports and Chongqing VIP database, Wanfang data, CBMDisc, and CNKI for Chinese language studies. Allelic and genotype comparisons between cases and controls were evaluated, and odds ratios with 95 % confidence intervals were used to assess the strength of their association. A random effects model was selected. Publication bias was estimated using Begg's test. Forty-six studies were included in the analysis with a total of 71,890 cases and 96,753 controls. This meta-analysis suggests that SLC30A8 (rs13266634) polymorphism was associated with T2DM risk. Although previous meta-analyses have shown that this association was only found in Asian and European groups, and not in African populations, our analysis revealed the deleterious effect of SLC30A8 rs13266634 on T2DM in an African population when stratified by ethnicity under additive model even with a small number of studies.
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Affiliation(s)
- Mengdi Fan
- Department of Pathology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Weimin Li
- Department of Ultrasonography, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Lian Wang
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Suping Gu
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Sisi Dong
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Mengdie Chen
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Haimin Yin
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Jinjue Zheng
- Department of Ultrasonography, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xiaoying Wu
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Jian Jin
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xuchao Jiang
- Department of Pathophysiology, Obesity and Diabetes Center, Second Military Medical University, Shanghai, 200433, China
| | - Jiao Cai
- Department of Pathophysiology, Obesity and Diabetes Center, Second Military Medical University, Shanghai, 200433, China
| | - Peining Liu
- Department of Child Health, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
| | - Chao Zheng
- Diabetes Center and Department of Endocrinology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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Kong Y, Sharma RB, Nwosu BU, Alonso LC. Islet biology, the CDKN2A/B locus and type 2 diabetes risk. Diabetologia 2016; 59:1579-93. [PMID: 27155872 PMCID: PMC4930689 DOI: 10.1007/s00125-016-3967-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 03/29/2016] [Indexed: 02/06/2023]
Abstract
Type 2 diabetes, fuelled by the obesity epidemic, is an escalating worldwide cause of personal hardship and public cost. Diabetes incidence increases with age, and many studies link the classic senescence and ageing protein p16(INK4A) to diabetes pathophysiology via pancreatic islet biology. Genome-wide association studies (GWASs) have unequivocally linked the CDKN2A/B locus, which encodes p16 inhibitor of cyclin-dependent kinase (p16(INK4A)) and three other gene products, p14 alternate reading frame (p14(ARF)), p15(INK4B) and antisense non-coding RNA in the INK4 locus (ANRIL), with human diabetes risk. However, the mechanism by which the CDKN2A/B locus influences diabetes risk remains uncertain. Here, we weigh the evidence that CDKN2A/B polymorphisms impact metabolic health via islet biology vs effects in other tissues. Structured in a bedside-to-bench-to-bedside approach, we begin with a summary of the evidence that the CDKN2A/B locus impacts diabetes risk and a brief review of the basic biology of CDKN2A/B gene products. The main emphasis of this work is an in-depth look at the nuanced roles that CDKN2A/B gene products and related proteins play in the regulation of beta cell mass, proliferation and insulin secretory function, as well as roles in other metabolic tissues. We finish with a synthesis of basic biology and clinical observations, incorporating human physiology data. We conclude that it is likely that the CDKN2A/B locus influences diabetes risk through both islet and non-islet mechanisms.
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Affiliation(s)
- Yahui Kong
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Rohit B Sharma
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Benjamin U Nwosu
- Division of Endocrinology, Department of Pediatrics, University of Massachusetts Medical School, Worcester, MA, USA
| | - Laura C Alonso
- AS7-2047, Division of Diabetes, Department of Medicine, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
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Han L, Li Y, Tang L, Chen Z, Zhang T, Chen S, Liu S, Peng X, Mai Y, Zhuo R, Wang C, Duan S. IGF2BP2 rs11705701 polymorphisms are associated with prediabetes in a Chinese population: A population-based case-control study. Exp Ther Med 2016; 12:1849-1856. [PMID: 27588103 DOI: 10.3892/etm.2016.3554] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Accepted: 03/01/2016] [Indexed: 12/14/2022] Open
Abstract
Associations between insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) rs11705701, insulin receptor substrate 1 rs7578326, gastric inhibitory polypeptide receptor rs10423928 and transcription factor 7-like 2 rs12255372 gene polymorphisms with prediabetes and type 2 diabetes (T2D) have not been evaluated in the Han Chinese population. These four genetic variants were investigated for their associations with prediabetes and T2D among 490 unrelated patients with T2D, 471 patients with prediabetes and 575 healthy controls. Sequenom MassARRAY software was used to genotype the patients for these variants. The Generalized Multifactor Dimensionality Reduction method was used to analyze the gene-gene and gene-environment interactions. A breakdown analysis by gender revealed a significant association of IGF2BP2 rs11705701 with prediabetes under the dominant genetic model in females following application of the Bonferroni correction (odds ratio = 0.26; 95% confidence interval = 0.10-0.67; P=0.005). However, no significant associations were reported between any of the other three polymorphisms and T2D under any genetic models. Furthermore, there were no statistically significant gene-gene or gene-environment interactions when evaluated with the above association tests. The present case-control study reveals a significant association between IGF2BP2 rs11705701 and prediabetes in female patients.
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Affiliation(s)
- Liyuan Han
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Yuanyuan Li
- Key Laboratory of Etiology and Epidemiology, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, P.R. China
| | - Linlin Tang
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Zhongwei Chen
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong 518054, P.R. China
| | - Tao Zhang
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong 518054, P.R. China
| | - Sihan Chen
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong 518054, P.R. China
| | - Shengyuan Liu
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong 518054, P.R. China
| | - Xiaolin Peng
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong 518054, P.R. China
| | - Yifeng Mai
- Department of Endocrinology, The Affiliated Hospital of Ningbo Medical School, Ningbo University, Ningbo, Zhejiang 315000, P.R. China
| | - Renjie Zhuo
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
| | - Changyi Wang
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong 518054, P.R. China
| | - Shiwei Duan
- Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, P.R. China
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Association between IGF2BP2 Polymorphisms and Type 2 Diabetes Mellitus: A Case-Control Study and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13060574. [PMID: 27294943 PMCID: PMC4924031 DOI: 10.3390/ijerph13060574] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2016] [Revised: 05/26/2016] [Accepted: 06/01/2016] [Indexed: 12/26/2022]
Abstract
Background: Genome-wide association studies (GWAS) found that IGF2BP2 rs4402960 and rs1470579 polymorphisms were associated with type 2 diabetes mellitus (T2DM) risk. Many studies have replicated this association, but yielded inconsistent results. Materials and Methods: A case-control study consisting of 461 T2DM patients and 434 health controls was conducted to detect the genetic susceptibility of IGF2BP2 in a northern Han Chinese population. A meta-analysis was to evaluate the association more precisely in Asians. Results: In the case-control study, the carriers of TT genotype at rs4402960 had a higher T2DM risk than the G carriers (TG + GG) (adjusted odd ratio (AOR) = 1.962, 95% confidence interval (95% CI) = 1.065–3.612, p = 0.031]; CC carriers at rs1470579 were more susceptible to T2DM than A carriers (CA + AA) (AOR = 2.014, 95% CI = 1.114–3.642, p = 0.021). The meta-analysis containing 36 studies demonstrated that the two polymorphisms were associated with T2DM under the allele comparison, genetic models of dominant and recessive in Asians (p < 0.05). The rs4402960 polymorphisms were significantly associated with the T2DM risk after stratification by diagnostic criterion, size of sample and average age and BMI of cases, while there’re no consistent results for rs1470579. Conclusions: Our data suggests that IGF2BP2 polymorphisms are associated with T2DM in Asian populations.
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Ibrahim AT, Hussain A, Salih MAM, Ibrahim OA, Jamieson SE, Ibrahim ME, Blackwell JM, Mohamed HS. Candidate gene analysis supports a role for polymorphisms at TCF7L2 as risk factors for type 2 diabetes in Sudan. J Diabetes Metab Disord 2016; 15:4. [PMID: 26937418 PMCID: PMC4774008 DOI: 10.1186/s40200-016-0225-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 02/25/2016] [Indexed: 11/10/2022]
Abstract
Background Genetic susceptibility to type 2 diabetes (T2D) is multifactorial. A growing number of genes have been identified as risk factors for T2D across multiple ethnicities in trans-ancestry meta-analysis of large-scale genome-wide association studies. Few studies have looked at these genes in Sub-Saharan African populations. This study was undertaken to look for associations between T2D and single nucleotide polymorphisms (SNPs) in a number of the top candidate genes in a selected Sudanese population. Methods A total 240 T2D cases and 128 unrelated healthy control subjects were included in this study. Age, sex, weight and height were recorded, blood pressure and biochemical profiles of glucose and lipids were analysed. Single nucleotide polymorphism (SNP) genotyping was performed using the Sequenom MassARRAY® system. Fourteen SNPs were selected across 7 genes: CAPN10 (rs2975760 and rs5030952), PPARG (rs17036314 and rs1801282), IGF2BP2 (rs4402960 and rs1470579), CDKAL1 (rs9465871), HHEX (rs1111875), TCF7L2 (rs7903146, rs11196205 and rs12255372), and KCNJ11 (rs5215, rs1800467 and rs5219). Allelic and haplotype association analyses were performed under additive models in PLINK. P ≤ 0.007 (=0.05/7 genes) was the P-value required to achieve correction for multiple testing. Results A significant genetic association between the SNPs rs7903146 (odds ratio 1.69, 95 % confidence interval 1.21–2.38, P = 0.002) and rs12255372 (odds ratio 1.70, 95 % confidence interval 1.20–2.41, P = 0.003) at TCF7L2 and T2D was found in Sudanese population. These associations were retained after adjusting for age, sex and BMI (e.g. rs7903146: odds ratio 1.70, Padj:age/sex/BMI = 0.005). The strongest haplotype association (odds ratio 2.24; Padj:age/sex/BMI = 0.0003) comprised the two point haplotype T_C across rs7903146 and rs11196205. Stepwise logistic regression demonstrated that SNP rs7903146 added significant main effects to rs11196205 or rs12255372, whereas the reverse was not true, indicating that the main effect for association with T2D in this population is most strongly tagged by SNP rs7903146. Adjusted analyses also provided support for protection from T2D associated with minor alleles at SNPs rs2975760 at CAPN10 (odds ratio 0.44, 95 % confidence interval 0.20-0.97, Padj:age/sex/BMI = 0.042) and rs1111876 at HHEX (odds ratio 0.60, 95 % confidence interval 0.39- 0.93, Padj:age/sex/BMI = 0.022). Conclusions Multiethnic associations between T2D and SNPs at TCF7L2, CAPN10 and HHEX extend to Sub-Saharan Africa, specifically Sudan.
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Affiliation(s)
- Amir T Ibrahim
- Central Laboratory, Ministry of Science and Technology, Khartoum, Sudan
| | - Ayman Hussain
- Institute of Endemic Disease, University of Khartoum, P. O. Box 102 Khartoum, Sudan
| | - Mohamed A M Salih
- Central Laboratory, Ministry of Science and Technology, Khartoum, Sudan
| | | | - Sarra E Jamieson
- Telethon Kids Institute, University of Western Australia, Subiaco, Australia
| | - Muntaser E Ibrahim
- Institute of Endemic Disease, University of Khartoum, P. O. Box 102 Khartoum, Sudan
| | - Jenefer M Blackwell
- Telethon Kids Institute, University of Western Australia, Subiaco, Australia
| | - Hiba S Mohamed
- Institute of Endemic Disease, University of Khartoum, P. O. Box 102 Khartoum, Sudan
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Erchen Decoction Prevents High-Fat Diet Induced Metabolic Disorders in C57BL/6 Mice. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2015; 2015:501272. [PMID: 26504476 PMCID: PMC4609407 DOI: 10.1155/2015/501272] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2015] [Accepted: 09/03/2015] [Indexed: 12/14/2022]
Abstract
Erchen decoction (ECD) is a traditional Chinese medicine prescription, which is used in the treatment of obesity, hyperlipidemia, fatty liver, diabetes, hypertension, and other diseases caused by retention of phlegm dampness. In this study we investigated the potential mechanism of ECD, using metabolism-disabled mice induced by high-fat diet. Body weight and abdominal circumference were detected. OGTT was measured by means of collecting blood samples from the tail vein. Blood lipid levels and insulin were measured using biochemical assay kit. Real-time PCR was used to measure the CDKAL1 gene expression and western blot was used to measure the protein expression. Through the research, it was found that ECD showed markedly lower body weight and abdominal circumference than those in the HFD group. Consistently, we observed that ECD significantly improved glucose tolerance, promoted the secretion of insulin and decreased the level of TG, TC level. Meanwhile, we observed significantly increased CDKAL1 mRNA and protein level in the ECD group. Therefore, we speculate that the potential molecular mechanism of ECD is to promote the CDKAL1 expression, ameliorate islet cell function, and raise insulin levels to regulate the metabolic disorder.
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