1
|
Hasti S, Mirfeizi M, Afshari M, Hasanzad M, Moghadam FA, Aghaei Meybodi HR. Association of common single-nucleotide polymorphism of HHEX with type 2 diabetes mellitus. J Diabetes Metab Disord 2024; 23:1183-1187. [PMID: 38932910 PMCID: PMC11196422 DOI: 10.1007/s40200-024-01407-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/20/2024] [Indexed: 06/28/2024]
Abstract
Background Type 2 diabetes mellitus (T2DM) is a complex metabolic disease that occurs as a result of insulin resistance and low insulin production. T2DM involves many organ systems that include macro-vascular and micro-vascular complications. Several genome-wide association studies (GWAS) and candidate gene studies have suggested a large number of single nucleotide polymorphisms (SNPs) on several genes such as HHEX that were associated with T2DM susceptibility. The current study aims to look at the relationship between the risk of T2DM and the HHEX gene variant rs7923837. Methods In this case-control study genotyping of rs7923837 of the HHEX gene was performed using the PCR-RFLP and Sanger sequencing method. Results Frequencies of GG genotype of rs7923837 polymorphism of HHEX among subjects with and without diabetes mellitus were 33.77% and 25.47% respectively. Corresponding prevalence for the AG genotype was 51.08% and 64.15% among subjects with and without diabetes mellitus respectively. The differences were not statistically significant (p = 0.08). Conclusion Our study revealed that polymorphisms rs7923837 of HHEX were not associated with T2DM. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-024-01407-5.
Collapse
Affiliation(s)
- Saeedeh Hasti
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Mani Mirfeizi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Afshari
- Department of Community Medicine, Zabol University of Medical Sciences, Zabol, Iran
| | - Mandana Hasanzad
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farhad Adhami Moghadam
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Hamid Reza Aghaei Meybodi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Internal Medicine, School of Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
2
|
Al‐Sharshani D, Velayutham D, Samara M, Gazal R, Al Haj Zen A, Ismail MA, Ahmed M, Nasrallah G, Younes S, Rizk N, Hammuda S, Qoronfleh MW, Farrell T, Zayed H, Abdulrouf PV, AlDweik M, Silang JPB, Rahhal A, Al‐Jurf R, Mahfouz A, Salam A, Al Rifai H, Al‐Dewik NI. Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar. Mol Genet Genomic Med 2023; 11:e2178. [PMID: 37147786 PMCID: PMC10422074 DOI: 10.1002/mgg3.2178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 03/10/2023] [Accepted: 03/15/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Dyslipidemia is recognized as one of the risk factors of cardiovascular diseases (CVDs), type 2 diabetes mellitus (T2DM), and non-alcoholic fatty liver disease (NAFLD). OBJECTIVE The study aimed to investigate the association between selected single nucleotide polymorphisms (SNPs) with dyslipidemia and increased susceptibility risks of CVD, NAFLD, and/or T2DM in dyslipidemia patients in comparison with healthy control individuals from the Qatar genome project. METHODS A community-based cross-sectional study was conducted among 2933 adults (859 dyslipidemia patients and 2074 healthy control individuals) from April to December 2021 to investigate the association between 331 selected SNPs with dyslipidemia and increased susceptibility risks of CVD, NAFLD and/or T2DM, and covariates. RESULTS The genotypic frequencies of six SNPs were found to be significantly different in dyslipidemia patients subjects compared to the control group among males and females. In males, three SNPs were found to be significant, the rs11172113 in over-dominant model, the rs646776 in recessive and over-dominant models, and the rs1111875 in dominant model. On the other hand, two SNPs were found to be significant in females, including rs2954029 in recessive model, and rs1801251 in dominant and recessive models. The rs17514846 SNP was found for dominant and over-dominant models among males and only the dominant model for females. We found that the six SNPs linked to gender type had an influence in relation to disease susceptibility. When controlling for the four covariates (gender, obesity, hypertension, and diabetes), the difference between dyslipidemia and the control group remained significant for the six variants. Finally, males were three times more likely to have dyslipidemia in comparison with females, hypertension was two times more likely to be present in the dyslipidemia group, and diabetes was six times more likely to be in the dyslipidemia group. CONCLUSION The current investigation provides evidence of association for a common SNP to coronary heart disease and suggests a sex-dependent effect and encourage potential therapeutic applications.
Collapse
Affiliation(s)
- Dalal Al‐Sharshani
- Heart Hospital (HH)Hamad Medical Corporation (HMC)DohaQatar
- Genomics and Precision Medicine (GPM), College of Health & Life Science (CHLS)Hamad Bin Khalifa University (HBKU)DohaQatar
| | - Dinesh Velayutham
- Liberal Arts and Science (LAS)Hamad Bin Khalifa University (HBKU)DohaQatar
| | - Muthanna Samara
- Department of PsychologyKingston University LondonKingston upon ThamesLondonUK
| | - Reham Gazal
- Department of Research, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
| | - Ayman Al Haj Zen
- College of Health & Life Science (CHLS)Hamad Bin Khalifa University (HBKU)DohaQatar
| | | | - Mahmoud Ahmed
- Department of Mathematics, Statistics and Physics, College of Arts and SciencesQatar University (QU)DohaQatar
| | - Gheyath Nasrallah
- Department of Biomedical Science, College of Health Sciences, Member of QU HealthQatar University (QU)DohaQatar
| | - Salma Younes
- Department of Biomedical Science, College of Health Sciences, Member of QU HealthQatar University (QU)DohaQatar
| | - Nasser Rizk
- Department of Biomedical Science, College of Health Sciences, Member of QU HealthQatar University (QU)DohaQatar
| | - Sara Hammuda
- Department of PsychologyKingston University LondonKingston upon ThamesLondonUK
| | - M. Walid Qoronfleh
- Research & Policy DivisionQ3CG Research Institute (QRI)7227 Rachel DriveYpsilantiMichiganUSA
- 21HealthStreet CompanyLondonUK
| | - Thomas Farrell
- Department of Research, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
| | - Hatem Zayed
- Department of Biomedical Science, College of Health Sciences, Member of QU HealthQatar University (QU)DohaQatar
| | - Palli Valapila Abdulrouf
- Department of Research, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
| | - Manar AlDweik
- Department of Research, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
| | - John Paul Ben Silang
- Department of Research, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
| | - Alaa Rahhal
- Heart Hospital (HH)Hamad Medical Corporation (HMC)DohaQatar
| | - Rana Al‐Jurf
- Department of Biomedical Science, College of Health Sciences, Member of QU HealthQatar University (QU)DohaQatar
| | - Ahmed Mahfouz
- Heart Hospital (HH)Hamad Medical Corporation (HMC)DohaQatar
| | - Amar Salam
- Department of Cardiology, Al Khor Hospital (AKH)Hamad Medical Corporation (HMC)DohaQatar
| | - Hilal Al Rifai
- Neonatal Intensive Care Unit (NICU), Newborn Screening Unit, Department of Pediatrics and Neonatology, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
| | - Nader I. Al‐Dewik
- Genomics and Precision Medicine (GPM), College of Health & Life Science (CHLS)Hamad Bin Khalifa University (HBKU)DohaQatar
- Department of Research, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
- Hamad Medical Corporation (HMC)DohaQatar
- Neonatal Intensive Care Unit (NICU), Newborn Screening Unit, Department of Pediatrics and Neonatology, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
- Faculty of Health and Social Care Sciences, Kingston UniversitySt. George's University of LondonLondonUK
- Translational and Precision Medicine Research, Women's Wellness and Research Center (WWRC)Hamad Medical Corporation (HMC)DohaQatar
| |
Collapse
|
3
|
Valvi D, Christiani DC, Coull B, Højlund K, Nielsen F, Audouze K, Su L, Weihe P, Grandjean P. Gene-environment interactions in the associations of PFAS exposure with insulin sensitivity and beta-cell function in a Faroese cohort followed from birth to adulthood. ENVIRONMENTAL RESEARCH 2023; 226:115600. [PMID: 36868448 PMCID: PMC10101920 DOI: 10.1016/j.envres.2023.115600] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Exposure to perfluoroalkyl substances (PFAS) has been associated with changes in insulin sensitivity and pancreatic beta-cell function in humans. Genetic predisposition to diabetes may modify these associations; however, this hypothesis has not been yet studied. OBJECTIVES To evaluate genetic heterogeneity as a modifier in the PFAS association with insulin sensitivity and pancreatic beta-cell function, using a targeted gene-environment (GxE) approach. METHODS We studied 85 single-nucleotide polymorphisms (SNPs) associated with type 2 diabetes, in 665 Faroese adults born in 1986-1987. Perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) were measured in cord whole blood at birth and in participants' serum from age 28 years. We calculated the Matsuda-insulin sensitivity index (ISI) and the insulinogenic index (IGI) based on a 2 h-oral glucose tolerance test performed at age 28. Effect modification was evaluated in linear regression models adjusted for cross-product terms (PFAS*SNP) and important covariates. RESULTS Prenatal and adult PFOS exposures were significantly associated with decreased insulin sensitivity and increased beta-cell function. PFOA associations were in the same direction but attenuated compared to PFOS. A total of 58 SNPs were associated with at least one PFAS exposure variable and/or Matsuda-ISI or IGI in the Faroese population and were subsequently tested as modifiers in the PFAS-clinical outcome associations. Eighteen SNPs showed interaction p-values (PGxE) < 0.05 in at least one PFAS-clinical outcome association, five of which passed False Discovery Rate (FDR) correction (PGxE-FDR<0.20). SNPs for which we found stronger evidence for GxE interactions included ABCA1 rs3890182, FTO rs9939609, FTO rs3751812, PPARG rs170036314 and SLC12A3 rs2289116 and were more clearly shown to modify the PFAS associations with insulin sensitivity, rather than with beta-cell function. DISCUSSION Findings from this study suggest that PFAS-associated changes in insulin sensitivity could vary between individuals as a result of genetic predisposition and warrant replication in independent larger populations.
Collapse
Affiliation(s)
- Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Flemming Nielsen
- Department of Public Health, Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, Odense, Denmark
| | | | - Li Su
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Pal Weihe
- Department of Occupational Medicine and Public Health, The Faroese Hospital System, Tórshavn, Faroe Islands; Centre of Health Science, Faculty of Health Sciences, University of the Faroe Islands, Tórshavn, Faroe Islands
| | - Philippe Grandjean
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Public Health, Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, Odense, Denmark
| |
Collapse
|
4
|
Ito R, Kimura A, Hirose Y, Hatano Y, Mima A, Mae SI, Keidai Y, Nakamura T, Fujikura J, Nishi Y, Ohta A, Toyoda T, Inagaki N, Osafune K. Elucidation of HHEX in pancreatic endoderm differentiation using a human iPSC differentiation model. Sci Rep 2023; 13:8659. [PMID: 37248264 DOI: 10.1038/s41598-023-35875-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 05/25/2023] [Indexed: 05/31/2023] Open
Abstract
For pluripotent stem cell (PSC)-based regenerative therapy against diabetes, the differentiation efficiency to pancreatic lineage cells needs to be improved based on the mechanistic understanding of pancreatic differentiation. Here, we aimed to elucidate the molecular mechanisms underlying pancreatic endoderm differentiation by searching for factors that regulate a crucial pancreatic endoderm marker gene, NKX6.1. Unbiasedly screening an siRNA knockdown library, we identified a candidate transcription factor, HHEX. HHEX knockdown suppressed the expression of another pancreatic endoderm marker gene, PTF1A, as well as NKX6.1, independently of PDX1, a known regulator of NKX6.1 expression. In contrast, the overexpression of HHEX upregulated the expressions of NKX6.1 and PTF1A. RNA-seq analysis showed decreased expressions of several genes related to pancreatic development, such as NKX6.1, PTF1A, ONECUT1 and ONECUT3, in HHEX knockdown pancreatic endoderm. These results suggest that HHEX plays a key role in pancreatic endoderm differentiation.
Collapse
Affiliation(s)
- Ryo Ito
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Azuma Kimura
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yurie Hirose
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yu Hatano
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Atsushi Mima
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Shin-Ichi Mae
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yamato Keidai
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Toshihiro Nakamura
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Junji Fujikura
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yohei Nishi
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Akira Ohta
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Taro Toyoda
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Nobuya Inagaki
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kenji Osafune
- Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
| |
Collapse
|
5
|
Alfaifi M. Contribution of genetic variant identified in HHEX gene in the overweight Saudi patients confirmed with type 2 diabetes mellitus. Saudi J Biol Sci 2022; 29:804-808. [PMID: 35197747 PMCID: PMC8847961 DOI: 10.1016/j.sjbs.2021.10.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/13/2021] [Accepted: 10/13/2021] [Indexed: 12/16/2022] Open
Abstract
Background The rs7932837 polymorphism in the Hematopoietically expressed homeobox (HHEX) gene was discovered through genome-wide association studies and is a promising candidate for type 2 diabetes mellitus (T2DM), which is one of the risk factors for obesity and other complications. T2DM has been identified as a heterogeneous and multifactorial disease characterized by insulin resistance and secretion. Aim The aim of this study was to investigate the rs7932837 polymorphism in the HHEX gene in overweight patients diagnosed with T2DM in the Saudi Population. Methods In this case-control study, one hundred T2DM cases and 100 controls were selected based on inclusion and exclusion criteria. Genotyping was performed with polymerase chair reaction-restriction fragment length polymorphism analysis and statistical analysis was performed between T2DM cases and controls for clinical characteristics, genotype and allele frequencies and multiple logistic regression analysis. Results In this study, T2DM cases were compared with healthy control subjects. Clinical characteristic analysis revealed the statistical analysis between age, weight, BMI, FBG, HDL-c, TC, TG and family history (p < 0.05). HWE analysis was in the accordance (p < 0.05). The rs7932837 polymorphism in the recessive model showed the positive association (AA + AG vs AA: 2.22 [1.25–3.96] & p = 0.006) and none of the genotypes or alleles were in the statistical association. Multiple logistic regression analysis revealed positive association with age, BMI and FBG (p < 0.05). Conclusion This study concludes as rs7932837 polymorphism in the HHEX gene showed positive association with recessive model and future studies recommend to carry out with large number of sample size with additional polymorphisms in HHEX gene.
Collapse
|
6
|
Aka TD, Saha U, Shati SA, Aziz MA, Begum M, Hussain MS, Millat MS, Uddin MS, Islam MS. Risk of type 2 diabetes mellitus and cardiovascular complications in KCNJ11, HHEX and SLC30A8 genetic polymorphisms carriers: A case-control study. Heliyon 2021; 7:e08376. [PMID: 34849419 PMCID: PMC8608605 DOI: 10.1016/j.heliyon.2021.e08376] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/15/2021] [Accepted: 11/10/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) are two deadly diseases caused by the complex interaction of multiple genetic loci, lifestyle and environmental factors. Genome-wide association studies described hundreds of susceptibility loci for T2DM and T2DM-related CVD, but it remains uncertain due to geographic and ethnic variations. The objective of this study was to evaluate the associations of KCNJ11 rs5219, SLC30A8 rs13266634 and HHEX rs1111875 polymorphisms with T2DM and related CVD. METHODS Genotyping of all three polymorphisms was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method on 250 T2DM cases and 246 healthy controls. Both descriptive and inferential statistical methods were applied using MedCalc and IBM SPSS software programs for statistical analyses. RESULTS A significantly increased association of KCNJ11 rs5219 (p<0.05) with T2DM was found in dominant, recessive, heterozygote, homozygote, and allele model (aOR = 2.23, 2.03, 1.90, 3.09, and 1.80, respectively). For SLC30A8 rs13266634, only dominant, heterozygote, and allele model (aOR = 3.37, 3.59, and 1.79, respectively) showed significantly increased association with T2DM. SNP rs1111875 (HHEX) also revealed 2.08, 4.18, 5.93, and 2.08-times significant association in dominant, recessive, homozygote, and allele models. Besides, a significantly reduced correlation of KCNJ11 rs5219 was found with T2DM-related CVD in the recessive and allele model (aOR = 0.40 and 0.65, respectively). Again, a significant difference was observed between T2DM-related CVD and non-CVD patients in terms of gender distribution, fasting blood glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), and triglycerides (TG). CONCLUSIONS Our investigation indicates that KCNJ11 rs5219, SLC30A8 rs13266634 and HHEX rs1111875 polymorphisms are associated with T2DM. Moreover, KCNJ11 rs5219 polymorphism is correlated with the risk of T2DM-related CVD.
Collapse
Affiliation(s)
- Tutun Das Aka
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Urmi Saha
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Sayara Akter Shati
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Md. Abdul Aziz
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
- Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Mobashera Begum
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Md. Saddam Hussain
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Md. Shalahuddin Millat
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
- Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Mohammad Sarowar Uddin
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
- Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| | - Mohammad Safiqul Islam
- Department of Pharmacy, Faculty of Science, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
- Laboratory of Pharmacogenomics and Molecular Biology, Department of Pharmacy, Noakhali Science and Technology University, Sonapur, 3814, Noakhali, Bangladesh
| |
Collapse
|
7
|
Banihashemi P, Aghaei Meybodi HR, Afshari M, Sarhangi N, Hasanzad M. Association analysis of HHEX gene variant with type 2 diabetes risk. Int J Diabetes Dev Ctries 2020. [DOI: 10.1007/s13410-020-00870-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
|
8
|
Lu CC, Chen YT, Chen SY, Hsu YM, Lin CC, Tsao JW, Juan YN, Yang JS, Tsai FJ. Hematopoietically expressed homeobox gene is associated with type 2 diabetes in KK Cg-A y/J mice and a Taiwanese Han Chinese population. Exp Ther Med 2018; 16:185-191. [PMID: 29896239 PMCID: PMC5995076 DOI: 10.3892/etm.2018.6152] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 11/29/2017] [Indexed: 12/12/2022] Open
Abstract
Diabetes mellitus (DM) is a chronic disease. The KK Cg-Ay/J (KK-Ay) mouse is an animal model to study type 2 diabetes mellitus (T2D) disease. The present study assessed the expression of hematopoietically expressed homeobox (HHEX) protein in liver tissues of different age groups of mice (6, 16 and 42 weeks) by immunohistochemistry (IHC). The results demonstrated a significant decrease in the percentage of HHEX-positive cells in KK-Ay mice as compared with that in KK-α/α control mice. Furthermore, in Taiwan's Han Chinese population, genotypic and allelic frequency distributions of the rs61862780 single-nucleotide polymorphism (SNP) in the HHEX gene were investigated. The results demonstrated that in the rs61862780 SNP of the 3′-untranslated region (UTR) of HHEX, the frequency of the CC genotype was higher in patients (6.0%) than in controls (2.7%), while the TT genotype frequency was about equal. In the same SNP, the frequency of the C allele was higher in patients (21.0%) than in controls (17.3%), while the T allele frequency was about equal. These results may pave the road for exploring the KK-Ay mouse model and the HHEX SNP rs61862780, which was correlated with the susceptibility to T2D in a Chinese population. Based on these findings, an association of HHEX gene expression with pathological features of T2D was indicated.
Collapse
Affiliation(s)
- Chi-Cheng Lu
- Department of Pharmacy, Buddhist Tzu Chi General Hospital, Hualien 97002, Taiwan, R.O.C
| | - Yng-Tay Chen
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C.,Human Genetics Center, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Shih-Yin Chen
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C.,Human Genetics Center, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Yuan-Man Hsu
- Department of Biological Science and Technology, China Medical University, Taichung 40402, Taiwan, R.O.C
| | - Chyi-Chyang Lin
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Je-Wei Tsao
- School of Pharmacy, China Medical University, Taichung 40402, Taiwan, R.O.C
| | - Yu-Ning Juan
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Jai-Sing Yang
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C
| | - Fuu-Jen Tsai
- Human Genetics Center, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40447, Taiwan, R.O.C.,Department of Medical Genetics, China Medical University Hospital, Taichung 40447, Taiwan, R.O.C.,School of Chinese Medicine, China Medical University, Taichung 40402, Taiwan, R.O.C
| |
Collapse
|
9
|
Drosophila Models to Investigate Insulin Action and Mechanisms Underlying Human Diabetes Mellitus. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1076:235-256. [DOI: 10.1007/978-981-13-0529-0_13] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
|
10
|
Tehrani FR, Zarkesh M, Tohidi M, Azizi F, Zadeh-Vakili A. Is the association between insulin resistance and diabetogenic haematopoietically expressed homeobox (HHEX) polymorphism (rs1111875) affected by polycystic ovary syndrome status? Reprod Fertil Dev 2015; 29:670-678. [PMID: 26563606 DOI: 10.1071/rd15157] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Accepted: 09/29/2015] [Indexed: 12/11/2022] Open
Abstract
Polycystic ovary syndrome (PCOS) is frequently accompanied by insulin resistance (IR). The aim of the present study was to investigate whether the genetic association between insulin resistance and two single nucleotide polymorphisms (SNPs), namely rs7903146 (C/T) in transcription factor 7-like 2 (TCF7L2) and rs1111875 (A/G) in haematopoietically expressed homeobox (HHEX), is affected by PCOS status in Iranian women. The study participants consisted of 582 women with PCOS (cases) referred to the Reproductive Endocrinology Research Center and 504 subjects without PCOS (controls), randomly selected from the Tehran Lipid and Glucose Study. Cases and controls were further subdivided to two groups according to IR status: those with and without IR. IR was identified on the basis of homeostasis model assessment of insulin resistance (HOMA-IR) ≥2.63. The SNPs in TCF7L2 and HHEX were genotyped by polymerase chain reaction-restriction fragment length polymorphism. There were no significant differences in the distribution of genotypes and alleles between cases and controls (P<0.05). Among cases, the prevalence of the CC, CT and TT genotypes was 37.8%, 46.3% and 15.9%, respectively, whereas the prevalence of the AA, AG and GG genotypes was 13.5%, 46.1% and 40.4%, respectively. In the control group, the prevalence of the CC, CT and TT genotypes was 32.2%, 53.9% and 13.9%, respectively, whereas the prevalence of the AA, AG and GG genotypes was 11.3%, 48.6% and 40.0%, respectively. After adjustment for age and body mass index, the probability of IR was decreased by 49% among carriers of the A allele in the control group (95% confidence interval 0.33-0.78; P=0.002). The findings of the present study suggest that the association between IR and diabetogenic polymorphisms may be affected by PCOS status.
Collapse
Affiliation(s)
- F Ramezani Tehrani
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24 Arabi Street - Yemen Street - Velenjak - Tehran, 1985717413, Islamic Republic of Iran
| | - M Zarkesh
- Cellular and Molecular Endocrine Research Center, Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24 Arabi Street - Yemen Street - Velenjak - Tehran, 1985717413, Islamic Republic of Iran
| | - M Tohidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24 Arabi Street - Yemen Street - Velenjak - Tehran, 1985717413, Islamic Republic of Iran
| | - F Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24 Arabi Street - Yemen Street - Velenjak - Tehran, 1985717413, Islamic Republic of Iran
| | - A Zadeh-Vakili
- Cellular and Molecular Endocrine Research Center, Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24 Arabi Street - Yemen Street - Velenjak - Tehran, 1985717413, Islamic Republic of Iran
| |
Collapse
|
11
|
IRS1, TCF7L2, ADRB1, PPARG, and HHEX polymorphisms associated with atherogenic risk in Mexican population. BIOMED RESEARCH INTERNATIONAL 2013; 2013:394523. [PMID: 24371822 PMCID: PMC3859263 DOI: 10.1155/2013/394523] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Accepted: 10/21/2013] [Indexed: 11/17/2022]
Abstract
Objective. We aimed to explore the association between polymorphisms of IRS1 (rs1801278), TCF7L2 (rs7903146 and rs12255372), ADRB1 (rs1801253), PPARG (rs1801282), and HHEX (rs5015480) genes with atherogenic risk (AI = Total cholesterol/HDL) in MetS, T2D, and healthy populations from the Mexican Social Security Institute. Methodology and Results. Four hundred thirty-five MetS, 517 T2D, and 547 healthy individuals were selected. The association between the SNPs and the atherogenic index was evaluated by multiple linear regression and multinomial logistic regression models. The ADRB1 gene showed a statistically significant association with high-risk atherogenic index, OR = 2.94 (IC 95% 1.64-5.24; P < 0.0001) for the Arg/Gly variant, under the dominant model an OR = 2.96 (IC 95% 1.67-5.25; P < 0.0001), and under the Log additive model an OR = 2.52 (IC 95% 1.54-4.15; P < 0.0001). Conclusions. The Arg389Gly polymorphism of the ADRB1 gene may be a worthy biological marker to predict the risk of developing cardiovascular diseases given a high-risk atherogenic index.
Collapse
|
12
|
Hematopoietically-expressed homeobox gene three widely-evaluated polymorphisms and risk for diabetes: a meta-analysis. PLoS One 2012; 7:e49917. [PMID: 23166797 PMCID: PMC3499530 DOI: 10.1371/journal.pone.0049917] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2012] [Accepted: 10/15/2012] [Indexed: 12/11/2022] Open
Abstract
Background The hematopoietically-expressed homeobox (HHEX) gene is identified as a promising candidate for type 2 diabetes by genome-wide association studies, triggering plenty of subsequent replications; however, the results are conflicting. We therefore conducted a meta-analysis of three widely-evaluated polymorphisms in HHEX gene and diabetes risk. Methodology/Principal Findings A random-effects model was adopted irrespective of heterogeneity. Data and study quality were assessed in duplicate. There were 49 studies (cases/controls: 57931/74658) for rs1111875, 18 studies (18227/30366) for rs5015480 and 26 studies (25725/30579) for rs7923837, respectively. Overall analyses indicated that rs1111875-C allele (odds ratio [OR] = 1.16; 95% confidence interval [CI]: 1.13–1.2; P<0.0005), rs5015480-C allele (OR = 1.16; 95% CI: 1.06–1.26; P = 0.001) and rs7923837-G allele (OR = 1.18; 95% CI: 1.12–1.24; P<0.0005) conferred significantly increased risk for type 2 diabetes, yet accompanying moderate to strong evidence of heterogeneity. Despite vast divergence in allele distributions, subgroup analyses by ethnicity showed comparable risk estimates between Asians and Caucasians for three examined polymorphisms. Moreover, results of studies with hospital-based controls deviated greatly from that of all qualified studies, especially for rs7923837-G allele carrying a doubled risk (OR = 1.37 versus 1.18). Furthermore, when only large studies (≥500 case-patients) were considered, risk effects were identical to the overall estimates for three examined polymorphisms. The Begg's funnel plot and Egger's test indicated low probability of publication bias. Conclusions Our results provide clarification to the significant association of rs1111875, rs5015480 and rs7923837 in HHEX gene with type 2 diabetes.
Collapse
|
13
|
Börnigen D, Tranchevent LC, Bonachela-Capdevila F, Devriendt K, De Moor B, De Causmaecker P, Moreau Y. An unbiased evaluation of gene prioritization tools. Bioinformatics 2012; 28:3081-8. [PMID: 23047555 DOI: 10.1093/bioinformatics/bts581] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
MOTIVATION Gene prioritization aims at identifying the most promising candidate genes among a large pool of candidates-so as to maximize the yield and biological relevance of further downstream validation experiments and functional studies. During the past few years, several gene prioritization tools have been defined, and some of them have been implemented and made available through freely available web tools. In this study, we aim at comparing the predictive performance of eight publicly available prioritization tools on novel data. We have performed an analysis in which 42 recently reported disease-gene associations from literature are used to benchmark these tools before the underlying databases are updated. RESULTS Cross-validation on retrospective data provides performance estimate likely to be overoptimistic because some of the data sources are contaminated with knowledge from disease-gene association. Our approach mimics a novel discovery more closely and thus provides more realistic performance estimates. There are, however, marked differences, and tools that rely on more advanced data integration schemes appear more powerful. CONTACT yves.moreau@esat.kuleuven.be SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Collapse
Affiliation(s)
- Daniela Börnigen
- Department of Electrical Engineering, ESAT-SCD, Katholieke Universiteit Leuven, Leuven, Belgium
| | | | | | | | | | | | | |
Collapse
|
14
|
Computational tools for prioritizing candidate genes: boosting disease gene discovery. Nat Rev Genet 2012; 13:523-36. [DOI: 10.1038/nrg3253] [Citation(s) in RCA: 332] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
|
15
|
Qian Y, Lu F, Dong M, Lin Y, Li H, Chen J, Shen C, Jin G, Hu Z, Shen H. Genetic variants of IDE-KIF11-HHEX at 10q23.33 associated with type 2 diabetes risk: a fine-mapping study in Chinese population. PLoS One 2012; 7:e35060. [PMID: 22506066 PMCID: PMC3323633 DOI: 10.1371/journal.pone.0035060] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Accepted: 03/08/2012] [Indexed: 12/18/2022] Open
Abstract
Background Genome-wide association studies (GWAS) in populations of European ancestry have mapped a type 2 diabetes susceptibility region to chromosome 10q23.33 containing IDE, KIF11 and HHEX genes (IDE-KIF11-HHEX), which has also been replicated in Chinese populations. However, the functional relevance for genetic variants at this locus is still unclear. It is critical to systematically assess the relationship of genetic variants in this region with the risk of type 2 diabetes. Methodology/Principal Findings A fine-mapping study was conducted by genotyping fourteen tagging single-nucleotide polymorphisms (SNPs) in a 290-kb linkage disequilibrium (LD) region using a two-stage case-control study of type 2 diabetes in a Chinese Han population. Suggestive associations (P<0.05) observed from 1,200 cases and 1,200 controls in the first stage were further replicated in 1,725 cases and 2,081 controls in the second stage. Seven tagging SNPs were consistently associated with type 2 diabetes in both stages (P<0.05), with combined odds ratios (ORs) ranging from 1.14 to 1.33 in the combined analysis. The most significant locus was rs7923837 [OR = 1.33, 95% confidence interval (CI): 1.21–1.47] at the 3′-flanking region of HHEX gene. SNP rs1111875 was found to be another partially independent locus (OR = 1.23, 95% CI: 1.13–1.35) in this region that was associated with type 2 diabetes risk. A cumulative effect of rs7923837 and rs1111875 was observed with individuals carrying 1, 2, and 3 or 4 risk alleles having a 1.27, 1.44, and 1.73-fold increased risk, respectively, for type 2 diabetes (P for trend = 4.1E-10). Conclusions/Significance Our results confirm that genetic variants of the IDE-KIF11-HHEX region at 10q23.33 contribute to type 2 diabetes susceptibility and suggest that rs7923837 may represent the strongest signal related to type 2 diabetes risk in the Chinese Han population.
Collapse
Affiliation(s)
- Yun Qian
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Chronic Non-communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China
- * E-mail: (YQ); or dr (HS)
| | - Feng Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meihua Dong
- Department of Chronic Non-communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Yudi Lin
- Department of Chronic Non-communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Huizhang Li
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jian Chen
- Department of Chronic Non-communicable Disease Control, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Chong Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
- * E-mail: (YQ); or dr (HS)
| |
Collapse
|
16
|
Sim X, Ong RTH, Suo C, Tay WT, Liu J, Ng DPK, Boehnke M, Chia KS, Wong TY, Seielstad M, Teo YY, Tai ES. Transferability of type 2 diabetes implicated loci in multi-ethnic cohorts from Southeast Asia. PLoS Genet 2011; 7:e1001363. [PMID: 21490949 PMCID: PMC3072366 DOI: 10.1371/journal.pgen.1001363] [Citation(s) in RCA: 123] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2010] [Accepted: 03/04/2011] [Indexed: 12/24/2022] Open
Abstract
Recent large genome-wide association studies (GWAS) have identified multiple loci
which harbor genetic variants associated with type 2 diabetes mellitus (T2D),
many of which encode proteins not previously suspected to be involved in the
pathogenesis of T2D. Most GWAS for T2D have focused on populations of European
descent, and GWAS conducted in other populations with different ancestry offer a
unique opportunity to study the genetic architecture of T2D. We performed
genome-wide association scans for T2D in 3,955 Chinese (2,010 cases, 1,945
controls), 2,034 Malays (794 cases, 1,240 controls), and 2,146 Asian Indians
(977 cases, 1,169 controls). In addition to the search for novel variants
implicated in T2D, these multi-ethnic cohorts serve to assess the
transferability and relevance of the previous findings from European descent
populations in the three major ethnic populations of Asia, comprising half of
the world's population. Of the SNPs associated with T2D in previous GWAS,
only variants at CDKAL1 and
HHEX/IDE/KIF11 showed the strongest
association with T2D in the meta-analysis including all three ethnic groups.
However, consistent direction of effect was observed for many of the other SNPs
in our study and in those carried out in European populations. Close examination
of the associations at both the CDKAL1 and
HHEX/IDE/KIF11 loci provided some evidence of locus and
allelic heterogeneity in relation to the associations with T2D. We also detected
variation in linkage disequilibrium between populations for most of these loci
that have been previously identified. These factors, combined with limited
statistical power, may contribute to the failure to detect associations across
populations of diverse ethnicity. These findings highlight the value of
surveying across diverse racial/ethnic groups towards the fine-mapping efforts
for the casual variants and also of the search for variants, which may be
population-specific. Type 2 diabetes mellitus (T2D) is a chronic disease which can lead to
complications such as heart disease, stroke, hypertension, blindness due to
diabetic retinopathy, amputations from peripheral vascular diseases, and kidney
disease from diabetic nephropathy. The increasing prevalence and complications
of T2D are likely to increase the health and economic burden of individuals,
families, health systems, and countries. Our study carried out in three major
Asian ethnic groups (Chinese, Malays, and Indians) in Singapore suggests that
the findings of studies carried out in populations of European ancestry (which
represents most studies to date) may be relevant to populations in Asia.
However, our study also raises the possibility that different genes, and within
the genes different variants, may confer susceptibility to T2D in these
populations. These findings are particularly relevant in Asia, where the
greatest growth of T2D is expected in the coming years, and emphasize the
importance of studying diverse populations when trying to localize the regions
of the genome associated with T2D. In addition, we may need to consider novel
methods for combining data across populations.
Collapse
Affiliation(s)
- Xueling Sim
- Centre for Molecular Epidemiology, National University of Singapore,
Singapore, Singapore
| | - Rick Twee-Hee Ong
- Centre for Molecular Epidemiology, National University of Singapore,
Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National
University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and
Research, Singapore, Singapore
| | - Chen Suo
- Centre for Molecular Epidemiology, National University of Singapore,
Singapore, Singapore
| | - Wan-Ting Tay
- Singapore Eye Research Institute, Singapore National Eye Centre,
Singapore, Singapore
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and
Research, Singapore, Singapore
| | - Daniel Peng-Keat Ng
- Department of Epidemiology and Public Health, National University of
Singapore, Singapore, Singapore
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, School
of Public Health, University of Michigan, Ann Arbor, Michigan, United States of
America
| | - Kee-Seng Chia
- Centre for Molecular Epidemiology, National University of Singapore,
Singapore, Singapore
- Department of Epidemiology and Public Health, National University of
Singapore, Singapore, Singapore
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre,
Singapore, Singapore
- Department of Epidemiology and Public Health, National University of
Singapore, Singapore, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore,
Singapore
- Centre for Eye Research Australia, University of Melbourne, Melbourne,
Australia
| | - Mark Seielstad
- Genome Institute of Singapore, Agency for Science, Technology and
Research, Singapore, Singapore
| | - Yik-Ying Teo
- Centre for Molecular Epidemiology, National University of Singapore,
Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National
University of Singapore, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and
Research, Singapore, Singapore
- Department of Epidemiology and Public Health, National University of
Singapore, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of
Singapore, Singapore, Singapore
- * E-mail: (E-ST); (Y-YT)
| | - E-Shyong Tai
- Department of Epidemiology and Public Health, National University of
Singapore, Singapore, Singapore
- Department of Medicine, National University of Singapore, Singapore,
Singapore
- Duke-National University of Singapore Graduate Medical School, Singapore,
Singapore
- * E-mail: (E-ST); (Y-YT)
| |
Collapse
|
17
|
Wang Y, Qiao W, Zhao X, Tao M. Quantitative assessment of the influence of hematopoietically expressed homeobox variant (rs1111875) on type 2 diabetes risk. Mol Genet Metab 2011; 102:194-9. [PMID: 21056935 DOI: 10.1016/j.ymgme.2010.09.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2010] [Revised: 09/29/2010] [Accepted: 09/29/2010] [Indexed: 12/21/2022]
Abstract
Hematopoietically expressed homeobox (HHEX) gene encodes for a transcription factor involved in Wnt/β-catenin signaling pathway which has attracted considerable attention as a candidate gene for type 2 diabetes (T2D) since it was first identified through genome wide association approach. The relationship between HHEX and T2D has been reported in various ethnic groups; however, these studies have yielded contradictory results. To investigate this inconsistency, we performed a meta-analysis of 26 studies involving a total of 110,875 subjects for rs1111875 of the HHEX gene to evaluate the effect of HHEX on genetic susceptibility for T2D. An overall random effects odds ratio of 1.16 (95% CI: 1.13-1.20) was found for C allele versus T allele. Significant results were also observed using dominant (OR=1.21, 95% CI: 1.16-1.25) or recessive genetic model (OR=1.24, 95% CI: 1.18-1.30). There was strong evidence of heterogeneity (P<0.001), which largely disappeared after stratification by ethnicity. In the subgroup analysis by sample size, source of controls and diagnostic criterion, significantly increased risks were found for the polymorphism in all genetic models. This meta-analysis demonstrated that the C allele of rs1111875 of HHEX is a risk factor associated with increased T2D susceptibility, but these associations vary in different ethnic populations.
Collapse
Affiliation(s)
- Yudong Wang
- Department of Obstetrics and Gynecology, the 6th People's Hospital, Shanghai Jiaotong University, 600 Yishan Road, Shanghai, China
| | | | | | | |
Collapse
|
18
|
Cai Y, Yi J, Ma Y, Fu D. Meta-analysis of the effect of HHEX gene polymorphism on the risk of type 2 diabetes. Mutagenesis 2010; 26:309-14. [PMID: 21059810 DOI: 10.1093/mutage/geq095] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
In the past decade, a number of case-control studies have been carried out to investigate the relationship between the HHEX polymorphism and type 2 diabetes (T2D). However, the results have been inconclusive. To investigate this inconsistency, we performed a meta-analysis of all available studies dealing with the relationship between the HHEX polymorphism and T2D. In total, 22 association studies on two HHEX polymorphisms (rs1111875 and rs7923837) and risk of T2D published before April 2010, including a total of 36 695 T2D cases and 51 800 controls were included. We also explored potential sources of heterogeneity. In a combined analysis, the summary per-allele odds ratio (OR) for T2D of the rs1111875 and rs7923837 polymorphism was 1.17 [95% confidence interval (CI): 1.13-1.21] and 1.23 (95% CI: 1.18-1.28), respectively. The haplotype analysis also showed significant association in the pooled international populations with an OR of 1.19 (95% CI: 1.15-1.22). In the subgroup analysis by ethnicity, significantly increased risks were found in Asians and Caucasians for these polymorphisms in almost all genetic models. Subgroup analysis also showed that ethnicity is the main source of heterogeneity between pooled studies. This meta-analysis demonstrated that the risk allele of HHEX polymorphisms (rs1111875 and rs7923837) is a risk factor for developing T2D. However, additional very large-scale studies are warranted to provide conclusive evidence on the effects of the HHEX gene on risk of T2D.
Collapse
Affiliation(s)
- Yu Cai
- Department of Gastroenterology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai 200032, People’s Republic of China
| | | | | | | |
Collapse
|
19
|
Variations in/nearby genes coding for JAZF1, TSPAN8/LGR5 and HHEX-IDE and risk of type 2 diabetes in Han Chinese. J Hum Genet 2010; 55:810-5. [PMID: 20927120 DOI: 10.1038/jhg.2010.117] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Several genetic loci (JAZF1, CDC123/CAMK1D, TSPAN8/LGR5, ADAMTS9, VEGFA and HHEX-IDE) were identified to be significantly related to the risk of type 2 diabetes and quantitative metabolic traits in European populations. Here, we aimed to evaluate the impacts of these novel loci on type 2 diabetes risk in a population-based case-control study of Han Chinese (1912 cases and 2041 controls). We genotyped 13 single-nucleotide polymorphisms (SNPs) in/near these genes and examined the differences in allele/genotype frequency between cases and controls. We found that both IDE rs11187007 and HHEX rs1111875 were associated with type 2 diabetes risk (for both variants: odds ratio (OR)=1.15, 95% confidence interval (CI) 1.04-1.28, P=0.009). In a meta-analysis where we pooled our data with the three previous studies conducted in East Asians, we found that the variants of JAZF1 rs864745 (1.09 (1.03-1.16); P=3.49 × 10(-3)) and TSPAN8/LGR5 rs7961581 (1.11(1.05-1.17); P=1.89 × 10(-4)) were significantly associated with type 2 diabetes risk. In addition, the meta-analysis (7207 cases and 8260 controls) also showed that HHEX rs1111875 did have effects on type 2 diabetes in Chinese population (OR=1.15(1.10-1.21); P=1.93 × 10(-8)). This large population-based study and meta-analysis further confirmed the modest effects of the JAZF1, TSPAN8/LGR5 and HHEX-IDE loci on type 2 diabetes in Chinese and other East Asians.
Collapse
|
20
|
Abstract
Type 2 diabetes mellitus is a complex metabolic disease that is caused by insulin resistance and beta-cell dysfunction. Furthermore, type 2 diabetes has an evident genetic component and represents a polygenic disease. During the last decade, considerable progress was made in the identification of type 2 diabetes risk genes. This was crucially influenced by the development of affordable high-density single nucleotide polymorphism (SNP) arrays that prompted several successful genome-wide association scans in large case-control cohorts. Subsequent to the identification of type 2 diabetes risk SNPs, cohorts thoroughly phenotyped for prediabetic traits with elaborate in vivo methods allowed an initial characterization of the pathomechanisms of these SNPs. Although the underlying molecular mechanisms are still incompletely understood, a surprising result of these pathomechanistic investigations was that most of the risk SNPs affect beta-cell function. This favors a beta-cell-centric view on the genetics of type 2 diabetes. The aim of this review is to summarize the current knowledge about the type 2 diabetes risk genes and their variants' pathomechanisms.
Collapse
Affiliation(s)
- Harald Staiger
- Department of Internal Medicine, Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, University Hospital Tübingen, D-72076 Tübingen, Germany
| | | | | | | |
Collapse
|
21
|
Staiger H, Machicao F, Schäfer SA, Kirchhoff K, Kantartzis K, Guthoff M, Silbernagel G, Stefan N, Häring HU, Fritsche A. Polymorphisms within the novel type 2 diabetes risk locus MTNR1B determine beta-cell function. PLoS One 2008; 3:e3962. [PMID: 19088850 PMCID: PMC2597741 DOI: 10.1371/journal.pone.0003962] [Citation(s) in RCA: 95] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2008] [Accepted: 11/18/2008] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Very recently, a novel type 2 diabetes risk gene, i.e., MTNR1B, was identified and reported to affect fasting glycemia. Using our thoroughly phenotyped cohort of subjects at an increased risk for type 2 diabetes, we assessed the association of common genetic variation within the MTNR1B locus with obesity and prediabetes traits, namely impaired insulin secretion and insulin resistance. METHODOLOGY/PRINCIPAL FINDINGS We genotyped 1,578 non-diabetic subjects, metabolically characterized by oral glucose tolerance test, for five tagging single nucleotide polymorphisms (SNPs) covering 100% of common genetic variation (minor allele frequency > 0.05) within the MTNR1B locus (rs10830962, rs4753426, rs12804291, rs10830963, rs3781638). In a subgroup (N = 513), insulin sensitivity was assessed by hyperinsulinemic-euglycemic clamp, and in a further subgroup (N = 301), glucose-stimulated insulin secretion was determined by intravenous glucose tolerance test. After appropriate adjustment for confounding variables and Bonferroni correction for multiple comparisons, none of the tagging SNPs was reliably associated with measures of adiposity. SNPs rs10830962, rs4753426, and rs10830963 were significantly associated with higher fasting plasma glucose concentrations (p < 0.0001) and reduced OGTT- and IVGTT-induced insulin release (p < or = 0.0007 and p < or = 0.01, respectively). By contrast, SNP rs3781638 displayed significant association with lower fasting plasma glucose levels and increased OGTT-induced insulin release (p<0.0001 and p < or = 0.0002, respectively). Moreover, SNP rs3781638 revealed significant association with elevated fasting- and OGTT-derived insulin sensitivity (p < or = 0.0021). None of the MTNR1B tagging SNPs altered proinsulin-to-insulin conversion. CONCLUSIONS/SIGNIFICANCE In conclusion, common genetic variation within MTNR1B determines glucose-stimulated insulin secretion and plasma glucose concentrations. Their impact on beta-cell function might represent the prevailing pathomechanism how MTNR1B variants increase the type 2 diabetes risk.
Collapse
Affiliation(s)
- Harald Staiger
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Fausto Machicao
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Silke A. Schäfer
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Kerstin Kirchhoff
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Konstantinos Kantartzis
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Martina Guthoff
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Günther Silbernagel
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Norbert Stefan
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Hans-Ulrich Häring
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
- * E-mail:
| | - Andreas Fritsche
- Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany
| |
Collapse
|
22
|
Staiger H, Machicao F, Kantartzis K, Schäfer SA, Kirchhoff K, Guthoff M, Silbernagel G, Stefan N, Fritsche A, Häring HU. Novel meta-analysis-derived type 2 diabetes risk loci do not determine prediabetic phenotypes. PLoS One 2008; 3:e3019. [PMID: 18714373 PMCID: PMC2500187 DOI: 10.1371/journal.pone.0003019] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2008] [Accepted: 08/01/2008] [Indexed: 12/04/2022] Open
Abstract
Background Genome-wide association (GWA) studies identified a series of novel type 2 diabetes risk loci. Most of them were subsequently demonstrated to affect insulin secretion of pancreatic β-cells. Very recently, a meta-analysis of GWA data revealed nine additional risk loci with still undefined roles in the pathogenesis of type 2 diabetes. Using our thoroughly phenotyped cohort of subjects at an increased risk for type 2 diabetes, we assessed the association of the nine latest genetic variants with the predominant prediabetes traits, i.e., obesity, impaired insulin secretion, and insulin resistance. Methodology/Principal Findings One thousand five hundred and seventy-eight metabolically characterized non-diabetic German subjects were genotyped for the reported candidate single nucleotide polymorphisms (SNPs) JAZF1 rs864745, CDC123/CAMK1D rs12779790, TSPAN8/LGR5 rs7961581, THADA rs7578597, ADAMTS9 rs4607103, NOTCH2 rs10923931, DCD rs1153188, VEGFA rs9472138, and BCL11A rs10490072. Insulin sensitivity was derived from fasting glucose and insulin concentrations, oral glucose tolerance test (OGTT), and hyperinsulinemic-euglycemic clamp. Insulin secretion was estimated from OGTT data. After appropriate adjustment for confounding variables and Bonferroni correction for multiple comparisons (corrected α-level: p = 0.0014), none of the SNPs was reliably associated with adiposity, insulin sensitivity, or insulin secretion (all p≥0.0117, dominant inheritance model). The risk alleles of ADAMTS9 SNP rs4607103 and VEGFA SNP rs9472138 tended to associate with more than one measure of insulin sensitivity and insulin secretion, respectively, but did not reach formal statistical significance. The study was sufficiently powered (1-β = 0.8) to detect effect sizes of 0.19≤d≤0.25 (α = 0.0014) and 0.13≤d≤0.16 (α = 0.05). Conclusions/Significance In contrast to the first series of GWA-derived type 2 diabetes candidate SNPs, we could not detect reliable associations of the novel risk loci with prediabetic phenotypes. Possible weak effects of ADAMTS9 SNP rs4607103 and VEGFA SNP rs9472138 on insulin sensitivity and insulin secretion, respectively, await further confirmation by larger studies.
Collapse
Affiliation(s)
- Harald Staiger
- Department of Internal Medicine, Division of Endocrinology, Diabetology, Angiology, Nephrology, and Clinical Chemistry, University Hospital Tübingen, Tübingen, Germany.
| | | | | | | | | | | | | | | | | | | |
Collapse
|