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Amin USM, Parvez N, Rahman TA, Hasan MR, Das KC, Jahan S, Hasanat MA, Seraj ZI, Salimullah M. CDKAL1 gene rs7756992 A/G and rs7754840 G/C polymorphisms are associated with gestational diabetes mellitus in a sample of Bangladeshi population: implication for future T2DM prophylaxis. Diabetol Metab Syndr 2022; 14:18. [PMID: 35090536 PMCID: PMC8796445 DOI: 10.1186/s13098-021-00782-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 12/30/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Association of single nucleotide polymorphisms (SNP) rs7756992 A/G and rs7754840 G/C of cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) gene with the susceptibility of gestational diabetes mellitus (GDM) has been studied in a group of Bangladeshi women. METHODS In this case-control study, 212 GDM patients and 256 control subjects were genotyped for rs7756992 and rs7754840 by PCR-RFLP and TaqMan™ allelic discrimination assay method respectively. Genotyping results were confirmed by DNA sequencing and replicated TaqMan™ assay. The odds ratios and their 95% confidence interval were calculated by logistic regression to determine the associations between genotypes and GDM. RESULTS The genotype frequencies of rs7756992-AA/AG/GG in the GDM group and the control group were 37%/48%, 53%/45%, 10%/7% and those of rs7754840-CC/CG/GG were 51%/55%, 40.1%/39.8%, 9%/5% respectively. Under dominant and log additive models rs7756992 was revealed significantly associated with GDM after being adjusted for family history of diabetes (FHD) and gravidity. Conversely, rs7754840 was significantly associated (P = 0.047) with GDM only under the recessive model after the same adjustment. The risk allele frequency of both SNPs was higher in the GDM group but significantly (P = 0.029) increased prevalence was observed in the rs7756992 G allele. When positive FHD and risk alleles of these SNPs were synergistically present in any pregnant woman, the chance of developing GDM was augmented by many folds. The codominant model revealed 2.5 and 2.1 folds increase in odds by AG (rs7756992) and GC (rs7754840) genotypes and 3.7 and 4.5 folds by GG (rs7756992) and CC (rs7754840) genotypes respectively. A significant 2.7 folds (P = 0.038) increase in odds of GDM resulted from the interaction of rs7756992 and family history of diabetes under the dominant model. The cumulative effect of multigravidity and risk alleles of these SNPs increased the odds of GDM more than 1.5 folds in different genotypes. CONCLUSION This study not only revealed a significant association between rs7756992 and rs7754840 with GDM but also provided the possibility as potential markers for foretelling about GDM and type 2 diabetes mellitus in Bangladeshi women.
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Affiliation(s)
- U S Mahzabin Amin
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Nahid Parvez
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Tahia Anan Rahman
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Md Rakibul Hasan
- Department of Endocrinology and Metabolism, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
| | - Keshob Chandra Das
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh
| | - Sharmin Jahan
- Department of Endocrinology and Metabolism, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
| | - Muhammad Abul Hasanat
- Department of Endocrinology and Metabolism, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
| | - Zeba I Seraj
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Md Salimullah
- Molecular Biotechnology Division, National Institute of Biotechnology (NIB), Ganakbari, Ashulia, Savar, Dhaka, 1349, Bangladesh.
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Choi WJ, Jin HS, Kim SS, Shin D. Dietary Protein and Fat Intake Affects Diabetes Risk with CDKAL1 Genetic Variants in Korean Adults. Int J Mol Sci 2020; 21:ijms21165607. [PMID: 32764395 PMCID: PMC7460637 DOI: 10.3390/ijms21165607] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 12/20/2022] Open
Abstract
Cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) is one of the strongest diabetes loci identified to date; evidence suggests that it plays an important role in insulin secretion. Dietary factors that affect insulin demand might enhance the risk of diabetes associated with CDKAL1 variants. Our aim was to examine the interactions between dietary protein and fat intake and CDKAL1 genetic variants in relation to the risk of diabetes in Korean adults. Single nucleotide polymorphisms (SNPs) were selected with a genome-wide association study (GWAS) for diabetes after adjustment for age, gender, and examination site. Using data from the Health Examinees (HEXA) Study of the Korean Genome and Epidemiology Study (KoGES), 3988 middle-aged Korean adults between 40–76 years of age (2034 men and 1954 women) were included in the study. Finally, rs7756992 located within the CDKAL1 gene region was selected from GWAS (p-value < 5 × 10−8). Multivariable logistic regression models were used to evaluate the interactions between genotypes and dietary protein and fat intake in relation to diabetes risk after adjustment for age, gender, BMI, waist circumference, physical activity, smoking status, drinking habits, and examination site. Significant interactions between CDKAL1 rs7756992 and dietary protein and fat intake for the risk of diabetes were observed in men (p-value < 0.05). In women, significant interactions between dietary protein and fat intake and CDKAL1 variants (rs7756992) were associated with increased risk of diabetes (p-value < 0.05). Dietary protein and fat intake interacted differently with CDKAL1 variants in relation to the risk of diabetes in Korean adults of both genders. These findings indicate that CDKAL1 variants play a significant role in diabetes and that dietary protein and fat intake could affect these associations.
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Affiliation(s)
- Woo Jeong Choi
- Department of Food and Nutrition, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea;
| | - Hyun-Seok Jin
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Chungnam 31499, Korea; (H.-S.J.); (S.-S.K.)
| | - Sung-Soo Kim
- Department of Biomedical Laboratory Science, College of Life and Health Sciences, Hoseo University, Asan, Chungnam 31499, Korea; (H.-S.J.); (S.-S.K.)
| | - Dayeon Shin
- Department of Food and Nutrition, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea;
- Correspondence: ; Tel.: +82-32-860-8123
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Bhowmick A, Sarkar P, Baruah MP, Bodhini D, Radha V, Mohan V, Banu S. Association of SLC30A8, CDKAL1, TCF7L2 and HHEX Gene Polymorphisms with Type 2 Diabetes in the Population of North East India. CYTOL GENET+ 2020. [DOI: 10.3103/s0095452720020036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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Krentz NAJ, Gloyn AL. Insights into pancreatic islet cell dysfunction from type 2 diabetes mellitus genetics. Nat Rev Endocrinol 2020; 16:202-212. [PMID: 32099086 DOI: 10.1038/s41574-020-0325-0] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/17/2020] [Indexed: 12/30/2022]
Abstract
Type 2 diabetes mellitus (T2DM) is an increasingly prevalent multifactorial disease that has both genetic and environmental risk factors, resulting in impaired glucose homeostasis. Genome-wide association studies (GWAS) have identified over 400 genetic signals that are associated with altered risk of T2DM. Human physiology and epigenomic data support a central role for the pancreatic islet in the pathogenesis of T2DM. This Review focuses on the promises and challenges of moving from genetic associations to molecular mechanisms and highlights efforts to identify the causal variant and effector transcripts at T2DM GWAS susceptibility loci. In addition, we examine current human models that are used to study both β-cell development and function, including EndoC-β cell lines and human induced pluripotent stem cell-derived β-like cells. We use examples of four T2DM susceptibility loci (CDKAL1, MTNR1B, SLC30A8 and PAM) to emphasize how a holistic approach involving genetics, physiology, and cellular and developmental biology can disentangle disease mechanisms at T2DM GWAS signals.
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Affiliation(s)
- Nicole A J Krentz
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
| | - Anna L Gloyn
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, UK.
- Stanford Diabetes Research Centre, Stanford University, Stanford, CA, USA.
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Yee J, Kim Y, Park T, Park M. Genetic Association Analysis of Fasting and 1- and 2-Hour Glucose Tolerance Test Data Using a Generalized Index of Dissimilarity Measure for the Korean Population. Genomics Inform 2017; 14:181-186. [PMID: 28154509 PMCID: PMC5287122 DOI: 10.5808/gi.2016.14.4.181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 11/16/2016] [Indexed: 12/03/2022] Open
Abstract
Glucose tolerance tests have been devised to determine the speed of blood glucose clearance. Diabetes is often tested with the standard oral glucose tolerance test (OGTT), along with fasting glucose level. However, no single test may be sufficient for the diagnosis, and the World Health Organization (WHO)/International Diabetes Federation (IDF) has suggested composite criteria. Accordingly, a single multi-class trait was constructed with three of the fasting phenotypes and 1- and 2-hour OGTT phenotypes from the Korean Association Resource (KARE) project, and the genetic association was investigated. All of the 18 possible combinations made out of the 3 sets of classification for the individual phenotypes were taken into our analysis. These were possible due to a method that was recently developed by us for estimating genomic associations using a generalized index of dissimilarity. Eight single-nucleotide polymorphisms (SNPs) that were found to have the strongest main effect are reported with the corresponding genes. Four of them conform to previous reports, located in the CDKAL1 gene, while the other 4 SNPs are new findings. Two-order interacting SNP pairs of are also presented. One pair (rs2328549 and rs6486740) has a prominent association, where the two single-nucleotide polymorphism locations are CDKAL1 and GLT1D1. The latter has not been found to have a strong main effect. New findings may result from the proper construction and analysis of a composite trait.
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Affiliation(s)
- Jaeyong Yee
- Department of Physiology and Biophysics, Eulji University, Daejeon 35233, Korea
| | - Yongkang Kim
- Department of Statistics, Seoul National University, Seoul 08826, Korea
| | - Taesung Park
- Department of Statistics, Seoul National University, Seoul 08826, Korea
| | - Mira Park
- Department of Preventive Medicine, Eulji University, Daejeon 34824, Korea
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Liang J, Pei Y, Liu X, Qiu Q, Sun Y, Zhu Y, Yang M, Qi L. The CDKAL1 gene is associated with impaired insulin secretion and glucose-related traits: the Cardiometabolic Risk in Chinese (CRC) study. Clin Endocrinol (Oxf) 2015; 83:651-5. [PMID: 26119585 DOI: 10.1111/cen.12838] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Revised: 05/20/2015] [Accepted: 06/18/2015] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Insulin secretion and insulin resistance, which affect metabolic homoeostasis, each have a significant genetic component. Cyclin- dependent kinase 5 (CDK5) regulatory subunit-associated protein 1-like 1 (CDKAL1) rs10946398, a novel body mass index (BMI)-associated locus specifically in the Asian population, may impair insulin secretion and may be associated with insulin resistance and type 2 diabetes. Our objective was to investigate the impact of the rs10946398 polymorphism of CDKAL1 on insulin secretion, insulin resistance and glucose-related traits in the Chinese population. SUBJECTS AND METHODS The study samples were based on a community-based health examination survey conducted in central China. Indices of insulin resistance and insulin secretion were derived from fasting glucose measurements and oral glucose tolerance tests (OGTTs). Using multivariate linear regression models, the relationships between the rs10946398 polymorphism of CDKAL1 and insulin secretion, insulin resistance and quantitative glucose-related traits were investigated in 2313 participants. RESULTS The CDKAL1 rs10946398 C allele showed a significant association with decreased insulin secretion (β = -0·05, P < 0·0005), but not with insulin resistance (β = 0·02, P = 0·08). We also found that the CDKAL1 rs10946398 C allele was significantly associated with glucose-related traits (fasting glucose, fasting insulin, 2-h glucose and HbA1c). There was no significant relationship between rs10946398 and other metabolic traits. CONCLUSIONS rs10946398 of CDKAL1 was associated with markers of impaired insulin secretion. It is reasonable to infer that the relationship between CDKAL1 and metabolic diseases is mediated by its effect on glucose-related traits.
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Affiliation(s)
- Jun Liang
- Department of Endocrinology, Xuzhou Central Hospital, The Affiliated XuZhou Hospital of Medical College of Southeast University, Xuzhou, Jiangsu, China
- Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Ying Pei
- School of Medicine, Southeast University, Nanjing, China
| | - Xuekui Liu
- Department of Endocrinology, Xuzhou Central Hospital, The Affiliated XuZhou Hospital of Medical College of Southeast University, Xuzhou, Jiangsu, China
- Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Qinqin Qiu
- Xuzhou Medical College, Xuzhou, Jiangsu, China
| | - Yuting Sun
- Xuzhou Medical College, Xuzhou, Jiangsu, China
| | - Yan Zhu
- Xuzhou Medical College, Xuzhou, Jiangsu, China
| | - Manqing Yang
- Department of Endocrinology, Xuzhou Central Hospital, The Affiliated XuZhou Hospital of Medical College of Southeast University, Xuzhou, Jiangsu, China
- Xuzhou Institute of Medical Sciences, Xuzhou Institute of Diabetes, Xuzhou, Jiangsu, China
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
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Mansoori Y, Daraei A, Naghizadeh MM, Salehi R. Significance of a common variant in the CDKAL1 gene with susceptibility to type 2 diabetes mellitus in Iranian population. Adv Biomed Res 2015; 4:45. [PMID: 25789271 PMCID: PMC4358034 DOI: 10.4103/2277-9175.151256] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Accepted: 06/23/2014] [Indexed: 12/29/2022] Open
Abstract
Background: Type 2 diabetes mellitus (T2DM) is a worldwide problem that threatens the public health and economies of all countries. A multifactorial etiology and interaction between environmental factors and genetic components are responsible for triggering and progression of T2DM. Recently, rs7754840 single nucleotide polymorphism (SNP) in the CDKAL1 gene was reported to be associated with T2DM in various populations. However, due to inconsistent results in various populations about the association of rs7754840 with T2DM, and lack of information in the Iranian population, we have evaluated its association with T2DM in a subset of the Iranian population from Isfahan province, central part of Iran. Materials and Methods: The study included 140 patients and 140 controls selected based on the World Health Organization guidelines. Genomic DNA was extracted from blood samples and the rs7754840 SNP was genotyped using a polymerase chain reaction-restriction fragment length polymorphism assay with specific primers and restriction enzyme (Ac1I). Results: The frequency of the C allele in the cases was higher than that in the controls (72.9% vs. 65%; P = 0.045). Using logistic regression analysis, we found a significant risk association of CC genotype with T2DM susceptibility (OR = 2.319, 95% CI = 1.436-3.744, P = 0.001). Furthermore, compared with the CC genotype, individuals with the GC genotype had a lower risk (protective association) of developing T2DM (OR = 0.332, 95% CI = 0.202-0.547, P < 0.001). Conclusions: We confirmed that there is a significant risk association between rs7754840 polymorphism and development of T2DM in a subset of the Iranian population from Isfahan province.
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Affiliation(s)
- Yaser Mansoori
- Department of Biochemistry, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran
| | - Abdolreza Daraei
- Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Rasoul Salehi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Abstract
Metabolic syndrome (MetS) is a cluster of metabolic traits associated with an increased risk of cardiovascular disease and type 2 diabetes mellitus. Central obesity and insulin resistance are thought to play key roles in the pathogenesis of the MetS. The MetS has a significant genetic component, and therefore linkage analysis, candidate gene approach, and genome-wide association (GWA) studies have been applied in the search of gene variants for the MetS. A few variants have been identified, located mostly in or near genes regulating lipid metabolism. GWA studies for the individual components of the MetS have reported several loci having pleiotropic effects on multiple MetS-related traits. Genetic studies have provided so far only limited evidence for a common genetic background of the MetS. Epigenetic factors (DNA methylation and histone modification) are likely to play important roles in the pathogenesis of the MetS, and they might mediate the effects of environmental exposures on the risk of the MetS. Further research is needed to clarify the role of genetic variation and epigenetic mechanisms in the development of the MetS.
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Affiliation(s)
- Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
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Adaptive human CDKAL1 variants underlie hormonal response variations at the enteroinsular axis. PLoS One 2014; 9:e105410. [PMID: 25222615 PMCID: PMC4164438 DOI: 10.1371/journal.pone.0105410] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2014] [Accepted: 07/22/2014] [Indexed: 11/19/2022] Open
Abstract
Recent analyses have identified positively selected loci that explain differences in immune responses, body forms, and adaptations to extreme climates, but variants that describe adaptations in energy-balance regulation remain underexplored. To identify variants that confer adaptations in energy-balance regulation, we explored the evolutionary history and functional associations of candidate variants in 207 genes. We screened single nucleotide polymorphisms in genes that had been associated with energy-balance regulation for unusual genetic patterns in human populations, followed by studying associations among selected variants and serum levels of GIP, insulin, and C-peptide in pregnant women after an oral glucose tolerance test. Our analysis indicated that 5′ variants in CDKAL1, CYB5R4, GAD2, and PPARG are marked with statistically significant signals of gene–environment interactions. Importantly, studies of serum hormone levels showed that variants in CDKAL1 are associated with glucose-induced GIP and insulin responses (p<0.05). On the other hand, a GAD2 variant exhibited a significant association with glucose-induced C-peptide response. In addition, simulation analysis indicated that a type 2 diabetes risk variant in CDKAL1 (rs7754840) was selected in East Asians ∼6,900 years ago. Taken together, these data indicated that variants in CDKAL1 and GAD2 were targets of prior environmental selection. Because the selection of the CDKAL1 variant overlapped with the selection of a cluster of GIP variants in the same population ∼11,800 to 2,000 years ago, we speculate that these regulatory genes at the human enteroinsular axis could be highly responsive to environmental selection in recent human history.
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KLIMENTIDIS YC, LEMAS DJ, WIENER HH, O’BRIEN DM, HAVEL PJ, STANHOPE KL, HOPKINS SE, TIWARI HK, BOYER BB. CDKAL1 and HHEX are associated with type 2 diabetes-related traits among Yup'ik people. J Diabetes 2014; 6:251-9. [PMID: 24112421 PMCID: PMC3964139 DOI: 10.1111/1753-0407.12093] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2013] [Revised: 09/17/2013] [Accepted: 09/17/2013] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2D), mainly among individuals of European ancestry. In the present study, we examined the frequency of these SNPs and their association with T2D-related traits in an Alaska Native study population with a historically low prevalence of T2D. We also investigated whether dietary characteristics that may protect against T2D, such as n-3 polyunsaturated fatty acid (PUFA) intake, modify these associations. METHODS In 1144 Yup'ik people, we examined 17 SNPs repeatedly identified in GWAS for individual and cumulative associations with T2D-related traits. Cumulative associations were evaluated using a genetic risk score (GRS) calculated by summing risk alleles. Associations were tested for interactions with sex, body mass index (BMI), and n-3 PUFA intake. RESULTS The rs7754840 SNP in CDKAL1 is significantly associated with HbA1c (P = 0.00091). The rs5015480 SNP near HHEX is significantly associated (in opposite direction to that in Europeans) with a combined fasting glucose (FG) and HbA1c measure (P = 0.00046) and with homeostatic model assessment of β-cell function (HOMA-B; P = 0.0014). The GRS is significantly associated with FG and combined FG and HbA1c only when the HHEX SNP is dropped from the GRS. Associations are not modified by BMI or n-3 PUFA intake. CONCLUSION Our results highlight the potential importance of CDKAL1 and HHEX in glucose homeostasis in this Alaska Native population with a low prevalence of T2D, and suggest that these loci should be examined in greater detail in this population.
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Affiliation(s)
- Yann C. KLIMENTIDIS
- Mel and Enid Zuckerman College of Public Health, Division of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, 85724
| | - Dominick J. LEMAS
- Department of Pediatrics, Section of Neonatology, University of Colorado Denver, Aurora, CO 80045
| | - Howard H. WIENER
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Diane M. O’BRIEN
- Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775
| | - Peter J. HAVEL
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616
- Department of Nutrition, University of California, Davis, Davis, CA 95616
| | - Kimber L. STANHOPE
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616
- Department of Nutrition, University of California, Davis, Davis, CA 95616
| | - Scarlett E. HOPKINS
- Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775
| | - Hemant K. TIWARI
- Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294
| | - Bert B. BOYER
- Center for Alaska Native Health Research, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775
- Corresponding author: Yann C. Klimentidis, PhD, Mel and Enid Zuckerman College of Public Health, Division of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, 85724. Phone: 520-621-1047,
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Ryu J, Lee C. Association of glycosylated hemoglobin with the gene encoding CDKAL1 in the Korean Association Resource (KARE) study. Hum Mutat 2012; 33:655-9. [DOI: 10.1002/humu.22040] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Accepted: 01/13/2012] [Indexed: 01/07/2023]
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Perez-Martinez P, Garcia-Rios A, Delgado-Lista J, Perez-Jimenez F, Lopez-Miranda J. Metabolic syndrome: Evidences for a personalized nutrition. Mol Nutr Food Res 2011; 56:67-76. [DOI: 10.1002/mnfr.201100531] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2011] [Revised: 09/06/2011] [Accepted: 09/23/2011] [Indexed: 11/10/2022]
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Wei FY, Suzuki T, Watanabe S, Kimura S, Kaitsuka T, Fujimura A, Matsui H, Atta M, Michiue H, Fontecave M, Yamagata K, Suzuki T, Tomizawa K. Deficit of tRNA(Lys) modification by Cdkal1 causes the development of type 2 diabetes in mice. J Clin Invest 2011; 121:3598-608. [PMID: 21841312 DOI: 10.1172/jci58056] [Citation(s) in RCA: 193] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2011] [Accepted: 06/08/2011] [Indexed: 12/20/2022] Open
Abstract
The worldwide prevalence of type 2 diabetes (T2D), which is caused by a combination of environmental and genetic factors, is increasing. With regard to genetic factors, variations in the gene encoding Cdk5 regulatory associated protein 1-like 1 (Cdkal1) have been associated with an impaired insulin response and increased risk of T2D across different ethnic populations, but the molecular function of this protein has not been characterized. Here, we show that Cdkal1 is a mammalian methylthiotransferase that biosynthesizes 2-methylthio-N6-threonylcarbamoyladenosine (ms2t6A) in tRNA(Lys)(UUU) and that it is required for the accurate translation of AAA and AAG codons. Mice with pancreatic β cell-specific KO of Cdkal1 (referred to herein as β cell KO mice) showed pancreatic islet hypertrophy, a decrease in insulin secretion, and impaired blood glucose control. In Cdkal1-deficient β cells, misreading of Lys codon in proinsulin occurred, resulting in a reduction of glucose-stimulated proinsulin synthesis. Moreover, expression of ER stress-related genes was upregulated in these cells, and abnormally structured ER was observed. Further, the β cell KO mice were hypersensitive to high fat diet-induced ER stress. These findings suggest that glucose-stimulated translation of proinsulin may require fully modified tRNA(Lys)(UUU), which could potentially explain the molecular pathogenesis of T2D in patients carrying cdkal1 risk alleles.
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Affiliation(s)
- Fan-Yan Wei
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
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Wei FY, Tomizawa K. Functional loss of Cdkal1, a novel tRNA modification enzyme, causes the development of type 2 diabetes. Endocr J 2011; 58:819-25. [PMID: 21908934 DOI: 10.1507/endocrj.ej11-0099] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
A number of whole-genome association studies show the cdk5 regulatory associated protein 1-like 1 (cdkal1) gene to be one of the most reproducible risk genes in type 2 diabetes (T2D). Variations in the gene are associated with impaired insulin secretion but not insulin resistance or obesity. Although the physiological functions of Cdkal1 had been unclear, recent studies show that it is a tRNA modification enzyme, a mammalian methylthiotransferase that biosynthesizes 2-methylthio-N(6)-threonylcarbamoyladenosine (ms(2)t(6)A) at position 37 of tRNA(Lys)(UUU). The ms(2)t(6)A modification in tRNA(Lys)(UUU) is important for preventing the misreading of its cognate codons, especially when the rate of translation is relatively high. In both general and pancreatic β-cell-specific cdkal1-deficient mice, impaired mitochondrial ATP generation and first-phase insulin secretion are observed. Moreover, the β-cell-specific knockout mice show pancreatic islet hypertrophy and impaired blood glucose control. The mice are also hypersensitive to high-fat diet-induced ER stress. In this review, we provide an overview of the physiological functions of Cdkal1 and the molecular pathogenesis of T2D in patients carrying cdkal1 risk alleles.
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Affiliation(s)
- Fan-Yan Wei
- Department of Molecular Physiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
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Franks PW, Nettleton JA. Invited commentary: Gene X lifestyle interactions and complex disease traits--inferring cause and effect from observational data, sine qua non. Am J Epidemiol 2010; 172:992-7; discussion 998-9. [PMID: 20847104 DOI: 10.1093/aje/kwq280] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Observational epidemiology has made outstanding contributions to the discovery and elucidation of relations between lifestyle factors and common complex diseases such as type 2 diabetes. Recent major advances in the understanding of the human genetics of this disease have inspired studies that seek to determine whether the risk conveyed by bona fide risk loci might be modified by lifestyle factors such as diet composition and physical activity levels. A major challenge is to determine which of the reported findings are likely to represent causal interactions and which might be explained by other factors. The authors of this commentary use the Bradford-Hill criteria, a set of tried-and-tested guidelines for causal inference, to evaluate the findings of a recent study on interaction between variation at the cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) locus and total energy intake with respect to prevalent metabolic syndrome and hemoglobin A₁(c) levels in a cohort of 313 Japanese men. The current authors conclude that the study, while useful for hypothesis generation, does not provide overwhelming evidence of causal interactions. They overview ways in which future studies of gene × lifestyle interactions might overcome the limitations that motivated this conclusion.
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Miyaki K, Oo T, Song Y, Lwin H, Tomita Y, Hoshino H, Suzuki N, Muramatsu M. Miyaki et al. Respond to "Gene x Lifestyle Interactions". Am J Epidemiol 2010. [PMCID: PMC2962256 DOI: 10.1093/aje/kwq282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | | | | | | | | | | | | | - Masaaki Muramatsu
- Correspondence to Dr. Masaaki Muramatsu, Department of Molecular Epidemiology, Medical Research Institute, Tokyo Medical and Dental University, 2-3-10 Kandasurugadai, Chiyoda-ku, Tokyo 101-0062, Japan (e-mail: )
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