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Svyatova G, Berezina G, Murtazaliyeva A, Dyussupov A, Belyayeva T, Faizova R, Dyussupova A. Genetic Predisposition to Prediabetes in the Kazakh Population. Curr Issues Mol Biol 2024; 46:10913-10922. [PMID: 39451528 PMCID: PMC11505754 DOI: 10.3390/cimb46100648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 09/22/2024] [Accepted: 09/25/2024] [Indexed: 10/26/2024] Open
Abstract
The aim of this study was to conduct a comparative analysis of the population frequencies of the minor allele of polymorphic variants in the genes TCF7L2 (rs7903146) and PPARG (rs1801282), based on the genome-wide association studies analysis data associated with the risk of developing prediabetes, in an ethnically homogeneous Kazakh population compared to previously studied populations worldwide. This study utilized a genomic database consisting of 1800 ethnically Kazakh individuals who were considered in healthy condition. Whole-genome genotyping was performed using Illumina OmniChip 2.5-8 arrays, which interrogated approximately 2.5 million single nucleotide polymorphisms. The distribution of genotypes for the TCF7L2 (rs7903146) and PPARG (rs1801282) polymorphisms in the Kazakh sample was found to be in Hardy-Weinberg equilibrium (p > 0.05). The minor G allele of the "Asian" protective polymorphism rs1801282 in the PPARG gene was observed at a frequency of 13.8% in the Kazakh population. This suggests a potentially more significant protective effect of this polymorphism in reducing the risk of prediabetes among Kazakhs. The frequency of the unfavorable T allele of the insulin secretion-disrupting gene TCF7L2 (rs7903146) in Kazakhs was 15.2%. Studying the associations of genetic markers for prediabetes enables the timely identification of "high-risk groups" and facilitates the implementation of effective preventive measures. Further results from replicative genomic research will help identify significant polymorphic variants of genes underlying the alteration of prediabetes status.
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Affiliation(s)
- Gulnara Svyatova
- Laboratory of Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology, and Perinatology, Almaty 050020, Kazakhstan; (G.S.); (G.B.); (A.M.)
| | - Galina Berezina
- Laboratory of Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology, and Perinatology, Almaty 050020, Kazakhstan; (G.S.); (G.B.); (A.M.)
| | - Alexandra Murtazaliyeva
- Laboratory of Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology, and Perinatology, Almaty 050020, Kazakhstan; (G.S.); (G.B.); (A.M.)
| | - Altay Dyussupov
- Department of General Medical Practice, Semey Medical University, Semey 071400, Kazakhstan; (A.D.); (T.B.); (R.F.)
| | - Tatyana Belyayeva
- Department of General Medical Practice, Semey Medical University, Semey 071400, Kazakhstan; (A.D.); (T.B.); (R.F.)
| | - Raida Faizova
- Department of General Medical Practice, Semey Medical University, Semey 071400, Kazakhstan; (A.D.); (T.B.); (R.F.)
| | - Azhar Dyussupova
- Department of General Medical Practice, Semey Medical University, Semey 071400, Kazakhstan; (A.D.); (T.B.); (R.F.)
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Mongkolsucharitkul P, Surawit A, Manosan T, Ophakas S, Suta S, Pinsawas B, Pongkunakorn T, Pumeiam S, Ratanasuwan W, Homsanit M, Charoencholvanich K, Udomphorn Y, Suktitipat B, Mayurasakorn K. Metabolic and genetic risk factors associated with pre-diabetes and type 2 diabetes in Thai healthcare employees: A long-term study from the Siriraj Health (SIH) cohort study. PLoS One 2024; 19:e0303085. [PMID: 38941315 PMCID: PMC11213315 DOI: 10.1371/journal.pone.0303085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/18/2024] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND The study of non-communicable diseases (NCDs) in a developing country like Thailand has rarely been conducted in long-term cohorts, especially among the working-age population. We aim to assess the prevalence and incidence of risk factors and their associations underlying NCDs, especially type-2 diabetes mellitus (T2DM) among healthcare workers enrolled in the Siriraj Health (SIH) study cohort. METHODS The SIH study was designed as a longitudinal cohort and conducted at Siriraj hospital, Thailand. A total of 5,011 participants (77% women) were recruited and follow-up. Physical examinations, blood biochemical analyses, family history assessments, behavior evaluations, and genetics factors were assessed. RESULTS The average age was 35.44±8.24 years and 51% of participants were overweight and obese. We observed that men were more likely to have a prevalence of T2DM and dyslipidemia (DLP) compared to women. Aging was significantly associated with pre-diabetes and T2DM (P<0.001). Additionally, aging, metabolic syndrome, and elevated triglycerides were associated with the development of pre-diabetes and T2DM. The minor T allele of the rs7903146(C/T) and rs4506565 (A/T) were associated with a high risk of developing pre-diabetes with odds ratios of 2.74 (95% confidence interval [CI]: 0.32-23.3) and 2.71 (95% CI: 0.32-23.07), respectively; however, these associations were statistically insignificant (P>0.05). CONCLUSION The findings of the SIH study provide a comprehensive understanding of the health status, risk factors, and genetic factors related to T2DM in a specific working population and highlight areas for further research and intervention to address the growing burden of T2DM and NCDs.
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Affiliation(s)
- Pichanun Mongkolsucharitkul
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Apinya Surawit
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Thamonwan Manosan
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Suphawan Ophakas
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Sophida Suta
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bonggochpass Pinsawas
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Tanyaporn Pongkunakorn
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Sureeporn Pumeiam
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Winai Ratanasuwan
- Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Mayuree Homsanit
- Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Keerati Charoencholvanich
- Department of Orthopedic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Yuthana Udomphorn
- Department of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Bhoom Suktitipat
- Department of Biochemistry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Korapat Mayurasakorn
- Siriraj Population Health and Nutrition Research Group, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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Salauddin A, Chakma K, Hasan MM, Akter F, Chowdhury NA, Chowdhury SR, Mannan A. Association between TCF7L2 polymorphism and type 2 diabetes mellitus susceptibility: a case-control study among the Bangladeshi population. Mol Biol Rep 2023; 50:609-619. [PMID: 36369331 DOI: 10.1007/s11033-022-08081-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/01/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Diabetes is a severe health burden for Bangladesh. Genetic polymorphism has been reported to be one of the major risk factors for diabetes in various studies. TCF7L2 (transcription factor 7 like 2) transcripts in the human β-cell have effects on β-cell survival, function, and Wnt signaling activation. This study aimed to evaluate the frequency and association of various polymorphisms namely TCF7L2 rs12255372 and rs7903146 among Bangladeshi patients with T2DM (Type 2 Diabetes Mellitus). METHODS This case-control study included 300 patients with T2DM and 234 healthy individuals from two health facilities in the Chattogram Division of Bangladesh. Anthropometric measurements were assessed using a self-reported, structured, eight-item questionnaire. The polymorphisms were identified by PCR-RFLP and sequencing method. RESULTS A strong association of T2DM with polymorphisms was observed, including rs12255372 (p = 0.0004) and rs7903146 (p = 0.005). It was observed that the risk genotype at rs12255372 was associated with age (p = 0.009), a family history of diabetes (p < 0.0001), and HbA1C (p < 0.0001). Furthermore, it was found that rs12255372 was substantially associated with hypertension (p = 0.03), eye problems (p = 0.01), and neurological abnormalities (p = 0.02). CONCLUSION This study postulates that TCF7L2 genetic polymorphism is associated with the risk of T2DM among the studied Bangladeshi population. The findings should be replicated through more studies with a large number of samples and in different populations.
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Affiliation(s)
- Asma Salauddin
- Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, 4331, Bangladesh.,Disease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh
| | - Kallyan Chakma
- Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, 4331, Bangladesh.,Disease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh
| | - Md Mahbub Hasan
- Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, 4331, Bangladesh.,Disease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh
| | - Farhana Akter
- Department of Endocrinology, Chittagong Medical College, Chattogram, 4203, Bangladesh.,Disease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh
| | | | | | - Adnan Mannan
- Department of Genetic Engineering & Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chattogram, 4331, Bangladesh. .,Disease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh.
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Motala AA, Mbanya JC, Ramaiya K, Pirie FJ, Ekoru K. Type 2 diabetes mellitus in sub-Saharan Africa: challenges and opportunities. Nat Rev Endocrinol 2022; 18:219-229. [PMID: 34983969 DOI: 10.1038/s41574-021-00613-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2021] [Indexed: 12/26/2022]
Abstract
Type 2 diabetes mellitus (T2DM), which was once thought to be rare in sub-Saharan Africa (SSA), is now well established in this region. The SSA region is undergoing a rapid but variable epidemiological transition fuelled by the pace of urbanization, with disease burden profiles shifting from communicable diseases to non-communicable diseases (NCDs). Information on the epidemiology of T2DM has increased, but wide variations in study methods, diagnostic biomarkers and criteria hamper analytical comparison, and data from high-quality studies are limited. The prevalence of T2DM is still low in some rural populations but moderate or high rates are reported in many countries/regions, with evidence for an increase in some. In addition, the proportion of undiagnosed T2DM is still high. The prevalence of T2DM is highest in African people living in urban areas, and the gradient between African people living in urban areas and people in the African diaspora is rapidly fading. However, data from longitudinal studies are lacking and there is limited information on chronic complications and the genetics of T2DM. The large unmet needs for T2DM care call for greater investment of resources into health systems to manage NCDs in SSA. Proposed health-system paradigms are being developed in some countries/regions. However, national NCD programmes need to be adequately funded and coordinated to stem the tide of T2DM and its complications.
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Affiliation(s)
- Ayesha A Motala
- Inkosi Albert Luthuli Central Hospital, Durban, South Africa.
- Department of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, South Africa.
| | - Jean Claude Mbanya
- Department of Internal Medicine and Specialities, Faculty of Medicine and Biomedical Sciences University of Yaounde 1, Yaounde, Cameroon
| | | | - Fraser J Pirie
- Inkosi Albert Luthuli Central Hospital, Durban, South Africa
- Department of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, South Africa
| | - Kenneth Ekoru
- Centre for Research on Genomics and Global Health, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA
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Shawki HA, Abo-hashem EM, Youssef MM, Shahin M, Elzehery R. PPARɣ2, aldose reductase, and TCF7L2 gene polymorphisms: relation to diabetes mellitus. J Diabetes Metab Disord 2022; 21:241-250. [PMID: 35673413 PMCID: PMC9167404 DOI: 10.1007/s40200-021-00963-4] [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: 10/25/2021] [Accepted: 12/25/2021] [Indexed: 01/05/2023]
Abstract
Purpose Diabetes mellitus (DM) is a growing global health concern. Genetic factors play a pivotal role in the development of diabetes. Therefore, the present work aimed to study the relation between peroxisome proliferator-activate receptors (PPARɣ2) (rs3856806), aldose reductase (AR) (rs759853), transcription factor 7 like 2 (TCF7L2) (rs7903146) gene polymorphism with diabetes in the Egyptian population. Methods The study included 260 diabetics and 120 healthy subjects. Genotyping was done using polymerase chain reaction-restriction fragment length polymorphism. Results Regression analysis revealed that PPARɣ2 TT, TCF7L2 TT were suggested to be independent risk predictors for T1DM and TCF7L2 TC, CC genotype were suggested to be independent protective factors against T1DM development. On the other hand, PPARɣ2 TT, AR TT genotypes were suggested to be independent risk predictors for T2DM susceptibility, and PPARɣ2 CT genotypes were suggested to be independent protective factors against T2DM development. Conclusion The present study revealed that PPARγ2 (rs3856806), TCF7L2 (rs7903146) and AR (rs759853) gene polymorphism may play an important role in the susceptibility of diabetes. Therefore, these polymorphisms may have a prognostic value for diabetes in the Egyptian population. Further work is required to confirm the role of these polymorphisms in diabetes.
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Affiliation(s)
- Hadeel Ahmed Shawki
- grid.10251.370000000103426662Biochemistry Division, Chemistry Department, Faculty of Science, Mansoura University, Mansoura, Egypt ,grid.10251.370000000103426662Mansoura Ophthalmic Center, Mansoura University, Mansoura, Egypt
| | - Ekbal M. Abo-hashem
- grid.10251.370000000103426662Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Magdy M. Youssef
- grid.10251.370000000103426662Biochemistry Division, Chemistry Department, Faculty of Science, Mansoura University, Mansoura, Egypt
| | - Maha Shahin
- grid.10251.370000000103426662Mansoura Ophthalmic Center, Mansoura University, Mansoura, Egypt
| | - Rasha Elzehery
- grid.10251.370000000103426662Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
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Association between Transcription Factor 7-like-2 Polymorphisms and Type 2 Diabetes Mellitus in a Ghanaian Population. SCI 2021. [DOI: 10.3390/sci3040040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) has been strongly associated with single nucleotide polymorphisms (SNPs) in the TCF7L2 gene. This study investigated the association between rs12255372, rs7903146 in the TCF7L2 gene and T2DM in a Ghanaian population. A case-control study design was used for this study. A total of 106 T2DM patients and 110 control participants were selected. Basic data collected included body mass index, blood pressure and socio-demographics. Fasting blood samples were collected and processed for: serum lipid analysis, plasma glucose estimation and plasma HbA1c estimation. Parts of the whole blood samples were used for DNA extraction using a modified salting-out method. Common and allele-specific primers were designed for genotyping using the Modified Tetra-Primer Amplification assay. Associations were evaluated using logistic regression models. The rs7903146 risk variant was significantly associated with 2.16 vs. 4.06 increased odds for T2DM in patients <60 years vs. ≥60 years. Both rs7903146 and rs12255372 were significantly associated with increased odds of T2DM in women, overweight/obese, T2DM negative family history (T2DM-NFH) and low-HDL-C. In a multivariate model, rs7903146 but not rs12255372 was significantly associated with 2.18, 5.01 and 2.25 increased odds of T2DM, under the codominant, recessive and additive model, respectively (p < 0.05). The association between rs7903146 and rs12255372 with T2DM is more highly associated in a subgroup—women and those with T2DM-NFH, yet who have cardiometabolic risk.
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Elhourch S, Arrouchi H, Mekkaoui N, Allou Y, Ghrifi F, Allam L, Elhafidi N, Belyamani L, Ibrahimi A, Elomri N, Eljaoudi R. Significant Association of Polymorphisms in the TCF7L2 Gene with a Higher Risk of Type 2 Diabetes in a Moroccan Population. J Pers Med 2021; 11:jpm11060461. [PMID: 34073870 PMCID: PMC8225140 DOI: 10.3390/jpm11060461] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 12/06/2022] Open
Abstract
Background and aims: Several studies have shown that genetic polymorphisms of the transcription factor 7-like 2 (TCF7L2) are highly associated with the development of type 2 diabetes mellitus (T2DM) and its associated complications in several populations. The aim of our study was to investigate the association of the rs7903146 (C/T) and rs12255372 (G/T) polymorphism in the TCF7L2 gene with the risk of developing T2DM in the Moroccan population. Material and methods: A total of 150 T2DM patients and 100 healthy controls were recruited for various anthropometric, biochemical and genetic parameters. Genotyping was performed by using Real Time-PCR. The frequency of genotypes, alleles, anthropometric measures, glycemia, glycated hemoglobin (HbA1c) were evaluated in patients and control, while lipid profile was available only for T2DM group. Results: Glycemia, HbA1c and body mass index (BMI) were significantly higher in T2DM group than control. Analysis of the distribution of the TCF7L2 rs7903146 genotype and allele revealed that the TT genotype was more frequent in T2DM group (24.0%) than in healthy controls (5%) (OR = 4.08, 95% confidence interval (CI = 1.95–11.80, p < 0.0001). The T allele was more frequent in diabetic patients (45.2%) than healthy control (34.5%) and it was associated with high risk of diabetes (OR = 2.13, 95% CI = 1.12–7.31, p = 0.005). The same results were found regarding rs12255372, TT genotype frequencies were 18,7% and 6.0% in T2DM and control group, respectively (OR = 3.11, 95% CI = 1.33–7.24, p = 0.004). The T allele was over-presented in diabetics compared to controls (45.3% and 38.0%, respectively) and increases the risk of T2DM (OR = 2.01, 95% CI = 1.04–3.10, p = 0.01). However, there was no significant difference between the three genotypes of rs7903146 and rs12255372 regarding age, BMI, glycemia, HbA1c and lipid profile. Conclusion: The present study confirmed a significant association of the TCF7L2 gene (rs7903146 (C/T) and rs12255372 (G/T) polymorphisms with a higher risk to T2DM in the Moroccan population. No significant difference in respect to anthropometric and metabolic parameters between different genotypes.
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Affiliation(s)
- Sarah Elhourch
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Housna Arrouchi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Nour Mekkaoui
- Clinical Research and Epidemiology Biostatistics Laboratory, Rabat Medical & Pharmacy School, Mohammed Vth University in Rabat, 10000 Rabat, Morocco;
| | - Younes Allou
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Fatima Ghrifi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Loubna Allam
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Naima Elhafidi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
- Immuno-Allergology Unit Children’s Hospital, 10000 Rabat, Morocco
| | - Lahcen Belyamani
- Military Hospital Mohammed V, Rabat Medical & Pharmacy School, Mohammed Vth University in Rabat, 10000 Rabat, Morocco; (L.B.); (N.E.)
| | - Azeddine Ibrahimi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
| | - Naoual Elomri
- Military Hospital Mohammed V, Rabat Medical & Pharmacy School, Mohammed Vth University in Rabat, 10000 Rabat, Morocco; (L.B.); (N.E.)
| | - Rachid Eljaoudi
- Medical Biotechnology Laboratory (MedBiotech), Bioinova Research Center, Rabat Medical & Pharmacy School, Mohammed Vth University, 10000 Rabat, Morocco; (S.E.); (H.A.); (Y.A.); (F.G.); (L.A.); (N.E.); (A.I.)
- Correspondence:
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Xu T, Liu M, Liu Q, Wang B, Wang M, Qu M, Chen X, Wu J. Associations of TCF7L2 rs11196218 (A/G) and GLP-1R rs761386 (C/T) Gene Polymorphisms with Obesity in Chinese Population. Diabetes Metab Syndr Obes 2021; 14:2465-2472. [PMID: 34103955 PMCID: PMC8179745 DOI: 10.2147/dmso.s310069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 05/16/2021] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION This study aimed to investigate the genetic polymorphism associations with obesity of the transcription factor 7-like 2 (TCF7L2) gene rs11196218 (A/G) and glucagon-like peptide 1 receptor (GLP1-R) gene rs761386 (C/T) in the Chinese population. PATIENTS AND METHODS This was a case-control pilot study involving 60 patients with obesity and 69 non-obesity Chinese adults, and the two groups were sex and age matched. Anthropometric indices of obesity, fasting blood glucose, blood pressure, and blood lipids were assessed. Both polymorphisms were genotyped using matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF). RESULTS There were significant differences in the allelic frequencies of the TCF7L2 rs11196218 and GLP1-R rs761386 between obesity and non-obesity groups (P = 0.003, OR = 2.32, 95% CI [1.31~4.09]; P = 0.034, OR = 1.94, 95% CI [1.05~3.60], respectively). In allele model, the genotypic frequencies of TCF7L2 rs11196218 and GLP1-R rs761386 also differed between obesity and non-obesity groups (P = 0.014 and 0.033, respectively). In dominant model, the TCF7L2 rs11196218 A-carrier (AA/AG) had a higher risk of obesity than GG genotype (P = 0.014, OR = 2.54, 95% CI [1.21~5.35]). Comparison of clinical and biochemical parameters between genotypes showed no significant difference. CONCLUSION These findings suggest that the rs11196218 (A/G) polymorphism of the TCF7L2 gene and the rs761386 (C/T) polymorphism of the GLP1-R gene were associated with obesity in the Chinese population.
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Affiliation(s)
- Tiantian Xu
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Mengmeng Liu
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Qingjing Liu
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Bian Wang
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Min Wang
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- Hunan Engineering Research Center for Obesity and its Metabolic Complications, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Minli Qu
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Xin Chen
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Jing Wu
- Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- Hunan Engineering Research Center for Obesity and its Metabolic Complications, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- Correspondence: Jing Wu Department of Endocrinology, Xiangya Hospital, Central South University, Changsha, People’s Republic of ChinaTel +86 13574120508 Email
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Shawki HA, M Abo-Hashem E, Youssef MM, Shahin M, Elzehery R. Association of transcription factor 7-like 2 (rs7903146) gene polymorphism with diabetic retinopathy. Ophthalmic Genet 2020; 41:420-426. [PMID: 32564636 DOI: 10.1080/13816810.2020.1780620] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/06/2022]
Abstract
BACKGROUND Diabetic retinopathy (DR) is one of the most common diabetic complications. Genetic factors play an important role in the development and progression of DR. So, the present study aimed to investigate the association of TCF7L2 (rs7903146) gene polymorphism with the risk of DR in type1 and type2 DM (T1DM and T2DM) in the Egyptian population. MATERIALS AND METHODS This work is a case-control study in which 550 diabetic patients were enrolled. Among them, 280 diabetics with DR (120 T1DM and 160 with T2DM) and 270 diabetic patients without DR (120 T1DM and 150 with T2DM). Besides, 120 healthy subjects as a control group. Genotyping of TCF7L2 (rs7903146) (C/T) was done following DNA extraction using polymerase chain reaction-restriction fragment length polymorphism. RESULTS C allele and CC genotype of TCF7L2 (rs7903146) were significantly associated with increased risk for DR within T2DM in multiplicative and recessive models. While dominant model showed no significant association with DR. Although TC may be associated with a decreased risk for DR in T1DM and T2DM in over dominant model, there was no significant association of TCF7L2 (rs7903146) with the risk of DR susceptibility within T1DM in multiplicative, dominant, and recessive models. CONCLUSION The present study revealed the association of TCF7L2 (rs7903146) polymorphism with DR susceptibility within diabetic patients. Therefore, TCF7L2 (rs7903146) gene polymorphism may have a prognostic value for diabetic retinopathy in the Egyptian population. Further work is required to confirm the association of this polymorphism as a risk for DR.
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Affiliation(s)
- Hadeel Ahmed Shawki
- Biochemistry Division, Chemistry Department, Faculty of Science, Mansoura University , Mansoura, Egypt.,Mansoura Ophthalmic Center, Mansoura University , Mansoura, Egypt
| | - Ekbal M Abo-Hashem
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University , Mansoura, Egypt
| | - Magdy M Youssef
- Biochemistry Division, Chemistry Department, Faculty of Science, Mansoura University , Mansoura, Egypt
| | - Maha Shahin
- Mansoura Ophthalmic Center, Mansoura University , Mansoura, Egypt
| | - Rasha Elzehery
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University , Mansoura, Egypt
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10
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Asamoah EA, Obirikorang C, Acheampong E, Annani-Akollor ME, Laing EF, Owiredu EW, Anto EO. Heritability and Genetics of Type 2 Diabetes Mellitus in Sub-Saharan Africa: A Systematic Review and Meta-Analysis. J Diabetes Res 2020; 2020:3198671. [PMID: 32685554 PMCID: PMC7352126 DOI: 10.1155/2020/3198671] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 06/08/2020] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVES Sub-Saharan Africa (SSA) is observing an accelerating prevalence rate of type 2 diabetes mellitus (T2DM) influenced by gene-environment interaction of modifiable and nonmodifiable factors. We conducted a systematic review and meta-analysis on the heritability and genetic risk of T2DM in SSA. METHODS We reviewed all published articles on T2DM in SSA between January 2000 and December 2019 and available in PubMed, Scopus, and Web of Science. Studies that reported on the genetics and/or heritability of T2DM or indicators of glycaemia were included. Data extracted included the study design, records of family history, pattern and characteristics of inheritance, genetic determinants, and effects estimates. RESULTS The pattern and characteristics of T2DM heritability in SSA are preference for maternal aggregation, higher among first degree compared to second-degree relatives; early age-onset (<50 years), and inherited abnormalities of beta-cell function/mass. The overall prevalence of T2DM was 28.2% for the population with a positive family history (PFH) and 11.2% for the population with negative family history (NFH). The pooled odds ratio of the impact of PFH on T2DM was 3.29 (95% CI: 2.40-4.52). Overall, 28 polymorphisms in 17 genes have been investigated in relation with T2DM in SSA. Almost all studies used the candidate gene approach with most (45.8%) of genetic studies published between 2011 and 2015. Polymorphisms in ABCC8, Haptoglobin, KCNJ11, ACDC, ENPP1, TNF-α, and TCF7L2 were found to be associated with T2DM, with overlapping effect on specific cardiometabolic traits. Genome-wide studies identified ancestry-specific signals (AGMO-rs73284431, VT11A-rs17746147, and ZRANB3) and TCF7L2-rs7903146 as the only transferable genetic risk variants to SSA population. TCF7L2-rs7903146 polymorphism was investigated in multiple studies with consistent effects and low-moderate statistical heterogeneity. Effect sizes were modestly strong [odds ratio = 6.17 (95% CI: 2.03-18.81), codominant model; 2.27 (95% CI: 1.50-3.44), additive model; 1.75 (95% CI: 1.18-2.59), recessive model]. Current evidence on the heritability and genetic markers of T2DM in SSA populations is limited and largely insufficient to reliably inform the genetic architecture of T2DM across SSA regions.
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Affiliation(s)
- Evans Adu Asamoah
- Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana
| | - Christian Obirikorang
- Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana
| | - Emmanuel Acheampong
- Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana
| | - Max Efui Annani-Akollor
- Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana
| | - Edwin Ferguson Laing
- Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana
| | - Eddie-Williams Owiredu
- Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana
| | - Enoch Odame Anto
- Department of Molecular Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Ghana
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11
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Doumatey AP, Ekoru K, Adeyemo A, Rotimi CN. Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine. Curr Diab Rep 2019; 19:105. [PMID: 31520154 DOI: 10.1007/s11892-019-1215-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW Recent advances in genomics provide opportunities for novel understanding of the biology of human traits with the goal of improving human health. Here, we review recent obesity and type 2 diabetes (T2D)-related genomic studies in African populations and discuss the implications of limited genomics studies on health disparity and precision medicine. RECENT FINDINGS Genome-wide association studies in Africans have yielded genetic discovery that would otherwise not be possible; these include identification of novel loci associated with obesity (SEMA-4D, PRKCA, WARS2), metabolic syndrome (CA-10, CTNNA3), and T2D (AGMO, ZRANB3). ZRANB3 was recently demonstrated to influence beta cell mass and insulin response. Despite these promising results, genomic studies in African populations are still limited and thus genomics tools and approaches such as polygenic risk scores and precision medicine are likely to have limited utility in Africans with the unacceptable possibility of exacerbating prevailing health disparities. African populations provide unique opportunities for increasing our understanding of the genetic basis of cardiometabolic disorders. We highlight the need for more coordinated and sustained efforts to increase the representation of Africans in genomic studies both as participants and scientists.
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Affiliation(s)
- Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12A, Room 4047, Bethesda, MD, 20862, USA
| | - Kenneth Ekoru
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12A, Room 4047, Bethesda, MD, 20862, USA
| | - Adebowale Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12A, Room 4047, Bethesda, MD, 20862, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12A, Room 4047, Bethesda, MD, 20862, USA.
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12
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Adeyemo AA, Zaghloul NA, Chen G, Doumatey AP, Leitch CC, Hostelley TL, Nesmith JE, Zhou J, Bentley AR, Shriner D, Fasanmade O, Okafor G, Eghan B, Agyenim-Boateng K, Chandrasekharappa S, Adeleye J, Balogun W, Owusu S, Amoah A, Acheampong J, Johnson T, Oli J, Adebamowo C, Collins F, Dunston G, Rotimi CN. ZRANB3 is an African-specific type 2 diabetes locus associated with beta-cell mass and insulin response. Nat Commun 2019; 10:3195. [PMID: 31324766 PMCID: PMC6642147 DOI: 10.1038/s41467-019-10967-7] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 06/11/2019] [Indexed: 12/13/2022] Open
Abstract
Genome analysis of diverse human populations has contributed to the identification of novel genomic loci for diseases of major clinical and public health impact. Here, we report a genome-wide analysis of type 2 diabetes (T2D) in sub-Saharan Africans, an understudied ancestral group. We analyze ~18 million autosomal SNPs in 5,231 individuals from Nigeria, Ghana and Kenya. We identify a previously-unreported genome-wide significant locus: ZRANB3 (Zinc Finger RANBP2-Type Containing 3, lead SNP p = 2.831 × 10-9). Knockdown or genomic knockout of the zebrafish ortholog results in reduction in pancreatic β-cell number which we demonstrate to be due to increased apoptosis in islets. siRNA transfection of murine Zranb3 in MIN6 β-cells results in impaired insulin secretion in response to high glucose, implicating Zranb3 in β-cell functional response to high glucose conditions. We also show transferability in our study of 32 established T2D loci. Our findings advance understanding of the genetics of T2D in non-European ancestry populations.
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Affiliation(s)
- Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Norann A Zaghloul
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, 21201, MD, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, 21201, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Carmen C Leitch
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, 21201, MD, USA
| | - Timothy L Hostelley
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, 21201, MD, USA
| | - Jessica E Nesmith
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, 21201, MD, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892, MD, USA
| | | | | | | | | | | | | | | | - Samuel Owusu
- University of Ghana Medical School, Accra, Ghana
| | - Albert Amoah
- University of Ghana Medical School, Accra, Ghana
| | | | | | - Johnnie Oli
- University of Nigeria Teaching Hospital, Enugu, Nigeria
| | - Clement Adebamowo
- Department of Epidemiology and Public Health; Institute of Human Virology; Greenebaum Comprehensive Cancer Center, School of Medicine, University of Maryland, Baltimore, 21201, MD, USA
| | | | - Georgia Dunston
- National Human Genome Center at Howard University, Washington, 20059, DC, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892, MD, USA.
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Genetic polymorphisms of human transcription factor-7 like 2 (TCF7L2), β-defensin (DEFB1) and CD14 genes in nephrolithiasis patients. Int J Biol Macromol 2018; 118:610-616. [DOI: 10.1016/j.ijbiomac.2018.06.113] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 06/22/2018] [Accepted: 06/23/2018] [Indexed: 11/24/2022]
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Mandour I, Darwish R, Fayez R, Naguib M, El-Sayegh S. TCF7L2 Gene Polymorphisms and Susceptibility to Type 2 Diabetes Mellitus, A Pilot Study. ACTA ACUST UNITED AC 2018. [DOI: 10.13005/bpj/1465] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Transcription factor 7-like 2 (TCF7L2) variants are known risk factors of type 2 diabetes (T2DM).However, this association is not consistent among different populations. The current study aimed at investigating the relationship between rs 7903146, rs 12255372 variants of TCF7L2 and susceptibility to T2DM and different metabolic parameters in a cohort of Egyptian type 2 diabetic patients. This case control study included 60 diabetic patients and 60 matched unrelated healthy controls. Genotyping was performed by using Real Time-PCR. The frequency of genotypes, alleles, anthropometric measures, glycemic indices, HOMA-IR and lipid profile were evaluated in patients and control. Regarding rs 7903146, TT genotype was more frequent in healthy controls (43.3%) than diabetic patients (20%) (OR = 0.291, 95% CI = 0.108-0.788, P = 0.015). T allele was more frequent in healthy control (61.7%) than diabetic patients (44.2%) and it was associated with lower risk of diabetes (OR = 0.492, 95% CI = 0.294-0.823, P = 0.007).However, there was no significant difference between patients with CC, CT and TT genotypes of rs7903146 regarding HbA1C (p=0.549), HOMA-IR (p=0.359), total cholesterol (p=0.482). In contrast, T allele of rs12255372 had no significant relation to diabetes risk (OR = 0.602, 95% CI = 0.361-1.005, P = 0.052). There was no statistically significant difference of frequency of any rs12255372 genotypes between cases and controls In addition, patients with GG,GT, TT genotypes of rs12255372 had no significant difference regarding HbA1C (p=0.393), HOMA-IR (p=0.985), total cholesterol (p=0.368). The study confirmed the association of TCF7L2 (rs 7903146) and T2DM, while failed to detect any association between TCF7L2 (rs 12255372) and susceptibility to T2DM. No significant difference in respect to metabolic parameters between different genotypes of rs7930146 and rs12255372.
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Affiliation(s)
- Iman Mandour
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
| | - Rania Darwish
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
| | - Randa Fayez
- Department of Internal Medicine, Kasr Al-Ainy, Cairo University, Egypt
| | - Mervat Naguib
- Department of Internal Medicine, Kasr Al-Ainy, Cairo University, Egypt
| | - Sarah El-Sayegh
- Department of Clinical and Chemical pathology, Kasr Al-Ainy, Cairo University, Egypt
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15
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Ding X, Hao Q, Yang M, Chen T, Chen S, Yue J, Leng SX, Dong B. Polymorphism rs189037C > T in the promoter region of the ATM gene may associate with reduced risk of T2DM in older adults in China: a case control study. BMC MEDICAL GENETICS 2017; 18:84. [PMID: 28806901 PMCID: PMC5557265 DOI: 10.1186/s12881-017-0446-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Accepted: 07/31/2017] [Indexed: 02/05/2023]
Abstract
Background Recent evidence indicates that ataxia telangiectasia mutated (ATM) is a cytoplasmic protein that involves in insulin signaling pathways. When ATM gene is mutated, this event appears to contribute to the development of insulin resistance and type 2 diabetes mellitus (T2DM). Up to date, little information about the relationship between ATM gene polymorphism and T2DM is available. This study aimed to explore potential association between a genetic variant [single nucleotide polymorphism (SNP), i.e. rs189037C > T] in the ATM promoter region and T2DM in older adults in China. Methods We conducted a 1:1 age- and sex-matched case-control study. It enrolled 160 patients including 80 type 2 diabetic and 80 nondiabetic patients who were aged 60 years and above. Genotyping of the polymorphism rs189037 in the promoter of the ATM gene was performed using polymerase chain reaction-restriction fragment length polymorphism. Chi-square test or Fisher’s exact test (when an expected cell count was <5) and unpaired Student’s t test were used for categorical and continuous variables, respectively. Logistic regression was used to estimate odds ratio (OR) and 95% confidence interval (CI) with adjustment for factors associated with T2DM. Results Significant association was found between the genotypes of the ATM rs189037 polymorphism and T2DM (P = 0.037). The frequency of CT genotype is much higher in patients without T2DM than in diabetics (60.0% versus 40.0%, P = 0.012). After adjustment of the major confounding factors, such difference remained significant (OR for non-T2DM is 2.62, 95%CI = 1.05–6.53, P = 0.038). Similar effect of CT genotype on T2DM was observed in male population (adjusted: OR = 0.27, 95%CI = 0.09–0.84, P = 0.024). In addition, the percentage of TT genotype in diabetics with coronary artery disease (CAD) was considerably lower than in those without CAD (17.9% versus 61.5%, P = 0.004). Conclusions Our study suggests that the ATM rs189037 polymorphism is associated with reduced risk of T2DM in older adult population in China. Specifically, CT heterozygote seems to be associated with a lower risk of T2DM than CC or TT genotype, especially in male older adults. Moreover, TT genotype may reduce the risk of CAD in diabetic patients. Electronic supplementary material The online version of this article (doi:10.1186/s12881-017-0446-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xiang Ding
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, NO. 37, Guoxuexiang, Chengdu, Sichuan, 610041, China
| | - Qiukui Hao
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, NO. 37, Guoxuexiang, Chengdu, Sichuan, 610041, China
| | - Ming Yang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, NO. 37, Guoxuexiang, Chengdu, Sichuan, 610041, China
| | - Tie Chen
- Institute of Molecular Medicine, Health Science Center, Shenzhen University, Shenzhen, 518060, China
| | - Shanping Chen
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, NO. 37, Guoxuexiang, Chengdu, Sichuan, 610041, China
| | - Jirong Yue
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, NO. 37, Guoxuexiang, Chengdu, Sichuan, 610041, China.
| | - Sean X Leng
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Baltimore, MD, 21224, USA
| | - Birong Dong
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, NO. 37, Guoxuexiang, Chengdu, Sichuan, 610041, China.
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Nguimmo-Metsadjio A, Atogho-Tiedeu B, Noubiap JJN, Evehe MS, Djokam-Dadjeu R, Donfack OS, Nanfa D, Mato EPM, Ngwa EN, Guewo-Fokeng M, Pokam-Fosso P, Mbacham WF, Mbanya JC, Sobngwi E. Investigation of the association between the TCF7L2 rs7903146 (C/T) gene polymorphism and obesity in a Cameroonian population: a pilot study. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2017; 36:12. [PMID: 28420445 PMCID: PMC5395748 DOI: 10.1186/s41043-017-0087-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2016] [Accepted: 03/22/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE This study aimed at investigating the association between the rs7903146 (C/T) polymorphism of the TCF7L2 gene with obesity in a Cameroonian population. METHOD This was a case-control pilot study including 61 obese and 61 non-obese Cameroonian adults. Anthropometric indices of obesity, blood pressure, fasting blood glucose, and blood lipids were measured. The rs7903146 (C/T) polymorphism of the TCF7L2 gene was genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), and genotypes were correlated with clinical and biological parameters. RESULTS The T allele was predominant in the study population with a frequency of 93%. No statistically significant difference was however observed between the genotypic (p = 0.50) and allelic frequencies (p = 0.58) of obese and non-obese subjects. Comparison of clinical and biochemical parameters of C allele carriers (CX = CC + CT) with those of TT genotype showed that there was no significant difference between the lipid profile of these two groups. CONCLUSION The rs7903146 (C/T) polymorphism of the TCF7L2 gene might not be associated with obesity in the Cameroonian population.
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Affiliation(s)
- Aurelie Nguimmo-Metsadjio
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Barbara Atogho-Tiedeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Jacques N. Noubiap
- Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
- Medical Diagnostic Center, Yaoundé, Cameroon
| | - Marie-Solange Evehe
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Rosine Djokam-Dadjeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Olivier Sontsa Donfack
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Dieudonne Nanfa
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Edith Pascale M. Mato
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Elvis Ndonwi Ngwa
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Priscille Pokam-Fosso
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Wilfred F. Mbacham
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Laboratory for Public Health Research Biotechnologies, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
| | - Jean Claude Mbanya
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon
| | - Eugene Sobngwi
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon
- Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon
- National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon
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17
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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: 1.0] [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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Ngwa EN, Sobngwi E, Atogho-Tiedeu B, Noubiap JJN, Donfack OS, Guewo-Fokeng M, Mofo EPM, Fosso PP, Djahmeni E, Djokam-Dadjeu R, Evehe MS, Aminkeng F, Mbacham WF, Mbanya JC. Association between the rs12255372 variant of the TCF7L2 gene and obesity in a Cameroonian population. BMC Res Notes 2015; 8:717. [PMID: 26608632 PMCID: PMC4658796 DOI: 10.1186/s13104-015-1661-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2014] [Accepted: 11/02/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The transcription factor 7-like 2 (TCF7L2) is one of the genes that have been identified as possible determinants of diabetes which is associated with obesity. Data on the genetic causes of obesity in sub-Saharan African populations are very scares. The aim of this study was to assess the association between the transcription factor 7-like 2 (TCF7L2) gene polymorphism (rs12255372 G/T) and obesity and weight-related traits in a Cameroonian population. METHODS A case-control study was conducted on 35 obese and 30 non-obese Cameroonian adults. TCF7L2 rs12255372 genotypes were determined using PCR-RFLP and correlated with BMI and weight-related traits. RESULTS No significant association was observed between the rs12255372 T allele (χ(2) = 0.0684, p = 0.79) or the TT genotype (χ(2) = 0.372, p = 0.54) of the TCF7L2 gene and obesity in the Cameroonian population. However, amongst the weight-related traits, triglycerides were significantly associated with the T risk allele of the TCF7L2 gene (p = 0.012). CONCLUSION This study on Cameroonian subjects replicates the absence of association between the TCF7L2 rs12255372 variant and obesity as observed in European and American populations.
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Affiliation(s)
- Elvis Ndonwi Ngwa
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Eugene Sobngwi
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon. .,Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon. .,National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon.
| | - Barbara Atogho-Tiedeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Jean Jacques N Noubiap
- Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa. .,Medical Diagnostic Center, Yaoundé, Cameroon.
| | - Olivier Sontsa Donfack
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Magellan Guewo-Fokeng
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Edith Pascale Mato Mofo
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Priscille Pokam Fosso
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Eric Djahmeni
- National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon.
| | - Rosine Djokam-Dadjeu
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Marie-Solange Evehe
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Folefac Aminkeng
- The Canadian Pharmacogenomics Network for Drug Safety (CPNDS), Center for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, Canada.
| | - Wilfred F Mbacham
- Department of Biochemistry, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. .,Laboratory for Public Health Research Biotechnologies, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon.
| | - Jean Claude Mbanya
- Laboratory for Molecular Medicine and Metabolism, Biotechnology Center, University of Yaoundé I, Yaoundé, Cameroon. .,Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaoundé I, Yaoundé, Cameroon. .,National Obesity Center, Yaoundé Central Hospital, Yaoundé, Cameroon.
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Adeyemo AA, Tekola-Ayele F, Doumatey AP, Bentley AR, Chen G, Huang H, Zhou J, Shriner D, Fasanmade O, Okafor G, Eghan B, Agyenim-Boateng K, Adeleye J, Balogun W, Elkahloun A, Chandrasekharappa S, Owusu S, Amoah A, Acheampong J, Johnson T, Oli J, Adebamowo C, Collins F, Dunston G, Rotimi CN. Evaluation of Genome Wide Association Study Associated Type 2 Diabetes Susceptibility Loci in Sub Saharan Africans. Front Genet 2015; 6:335. [PMID: 26635871 PMCID: PMC4656823 DOI: 10.3389/fgene.2015.00335] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Accepted: 11/09/2015] [Indexed: 01/31/2023] Open
Abstract
Genome wide association studies (GWAS) for type 2 diabetes (T2D) undertaken in European and Asian ancestry populations have yielded dozens of robustly associated loci. However, the genomics of T2D remains largely understudied in sub-Saharan Africa (SSA), where rates of T2D are increasing dramatically and where the environmental background is quite different than in these previous studies. Here, we evaluate 106 reported T2D GWAS loci in continental Africans. We tested each of these SNPs, and SNPs in linkage disequilibrium (LD) with these index SNPs, for an association with T2D in order to assess transferability and to fine map the loci leveraging the generally reduced LD of African genomes. The study included 1775 unrelated Africans (1035 T2D cases, 740 controls; mean age 54 years; 59% female) enrolled in Nigeria, Ghana, and Kenya as part of the Africa America Diabetes Mellitus (AADM) study. All samples were genotyped on the Affymetrix Axiom PanAFR SNP array. Forty-one of the tested loci showed transferability to this African sample (p < 0.05, same direction of effect), 11 at the exact reported SNP and 30 others at SNPs in LD with the reported SNP (after adjustment for the number of tested SNPs). TCF7L2 SNP rs7903146 was the most significant locus in this study (p = 1.61 × 10−8). Most of the loci that showed transferability were successfully fine-mapped, i.e., localized to smaller haplotypes than in the original reports. The findings indicate that the genetic architecture of T2D in SSA is characterized by several risk loci shared with non-African ancestral populations and that data from African populations may facilitate fine mapping of risk loci. The study provides an important resource for meta-analysis of African ancestry populations and transferability of novel loci.
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Affiliation(s)
- Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Fasil Tekola-Ayele
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Guanjie Chen
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Hanxia Huang
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Jie Zhou
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | - Daniel Shriner
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | | | - Godfrey Okafor
- Department of Medicine, University of Nigeria Teaching Hospital Enugu, Nigeria
| | - Benjamin Eghan
- Department of Medicine, University of Science and Technology Kumasi, Ghana
| | | | - Jokotade Adeleye
- Department of Medicine, College of Medicine, University of Ibadan Ibadan, Nigeria
| | - Williams Balogun
- Department of Medicine, College of Medicine, University of Ibadan Ibadan, Nigeria
| | - Abdel Elkahloun
- National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
| | | | - Samuel Owusu
- Department of Medicine and Therapeutics, University of Ghana Medical School Accra, Ghana
| | - Albert Amoah
- Department of Medicine and Therapeutics, University of Ghana Medical School Accra, Ghana
| | - Joseph Acheampong
- Department of Medicine, University of Science and Technology Kumasi, Ghana
| | - Thomas Johnson
- Department of Medicine, University of Lagos Lagos, Nigeria
| | - Johnnie Oli
- Department of Medicine, University of Nigeria Teaching Hospital Enugu, Nigeria
| | - Clement Adebamowo
- Institute of Human Virology, School of Medicine, University of Maryland Baltimore, MD, USA
| | | | - Georgia Dunston
- National Human Genome Center at Howard University Washington, DC, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health Bethesda, MD, USA
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