1
|
Mameri A, Côté J. JAZF1: A metabolic actor subunit of the NuA4/TIP60 chromatin modifying complex. Front Cell Dev Biol 2023; 11:1134268. [PMID: 37091973 PMCID: PMC10119425 DOI: 10.3389/fcell.2023.1134268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/29/2023] [Indexed: 04/25/2023] Open
Abstract
The multisubunit NuA4/TIP60 complex is a lysine acetyltransferase, chromatin modifying factor and gene co-activator involved in diverse biological processes. The past decade has seen a growing appreciation for its role as a metabolic effector and modulator. However, molecular insights are scarce and often contradictory, underscoring the need for further mechanistic investigation. A particularly exciting route emerged with the recent identification of a novel subunit, JAZF1, which has been extensively linked to metabolic homeostasis. This review summarizes the major findings implicating NuA4/TIP60 in metabolism, especially in light of JAZF1 as part of the complex.
Collapse
|
2
|
Dai H, Qian Y, Lv H, Jiang L, Jiang H, Shen M, Chen H, Chen Y, Zheng S, Fu Q, Yang T, Xu K. Rs864745 in JAZF1, an Islet Function Associated Variant, Correlates With Plasma Lipid Levels in Both Type 1 and Type 2 Diabetes Status, but Not Healthy Subjects. Front Endocrinol (Lausanne) 2022; 13:898893. [PMID: 35846288 PMCID: PMC9283698 DOI: 10.3389/fendo.2022.898893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/31/2022] [Indexed: 11/29/2022] Open
Abstract
OBJECTIVE This study aims to reveal the association between JAZF1 rs864745 A>G variant and type 2 diabetes (T2D), type 1 diabetes (T1D) risk, and their correlation with clinical features, including islet function, islet autoimmunity, and plasma lipid levels. METHODS We included 2505 healthy controls based on oral glucose tolerance test (OGTT), 1736 unrelated T2D, and 1003 unrelated autoantibody-positive T1D individuals. Binary logistic regression was performed to evaluate the relationships between rs864745 in JAZF1 and T2D, T1D, and islet-specific autoantibody status under the additive model, while multiple linear regression was used to assess its effect on glycemic-related quantitative traits and plasma lipid levels. RESULTS We did not find any association between rs864745 in JAZF1 and T2D, T1D, or their subgroups (All P > 0.05). For glycemic traits, we found that the G allele of this variant was significantly associated with higher 120 min insulin level, insulinogenic index (IGI), corrected insulin response (CIR), and acute insulin response (BIGTT-AIR) (P = 0.033, 0.006, 0.009, and 0.016, respectively) in healthy individuals. Similar associations were observed in newly diagnosed T2D but not T1D individuals. Although this variant had no impact on islet autoimmunity (All P > 0.05), significant associations with plasma total cholesterol (TC) and low-density lipoprotein (LDL) level stratified by JAZF1 rs864745 variant were observed in the disease status of T2D (P = 0.002 and 0.003) and T1D (P = 0.024 and 0.009), with significant heterogeneity to healthy individuals. CONCLUSIONS The common JAZF1 rs864745 variant contributes to islet function and lipid metabolism, which might be put into genetic risk scores to assess the risk of related clinical features.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Tao Yang
- *Correspondence: Tao Yang, ; Kuanfeng Xu,
| | | |
Collapse
|
3
|
Zano S, Rubab ZE, Baig S, Shahid MA, Ahmad F, Iqbal F. Association of the JAZF1 Variant in Adults With a Parental History of Type 2 Diabetes Mellitus In Pakistan. Cureus 2020; 12:e11930. [PMID: 33425511 PMCID: PMC7785483 DOI: 10.7759/cureus.11930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Type 2 diabetes mellitus (T2DM) is a chronic multifactorial condition and quickly growing disease in Pakistan. Many genes together with Zinc finger protein 1 (JAZF1) have already been described earlier in the literature but the role of JAZF1 in this subset of the population is yet to define. This study was aimed at identifying JAZF1 polymorphism and the risk of developing T2DM in persons with a parental history of T2DM in the Pakistani population. Methods DNA samples from 75 non-diabetic Pakistani participants with a family history of T2DM and 75 controls were evaluated by using a polymerase chain reaction (PCR) and the restriction fragment length polymorphism method. Results The alleles AA and AG and the GG genotype of JAZF1 (rs864745) varied considerably in frequency distribution between cases and control (p<0.05). The GG was independently and significantly associated with cases who had a family history of T2DM [odds ratio (OR) 2.6 (95% confidence interval (Cl) 1.3-5.1); p=0.005] while the AA allele was significantly associated with controls without a family history of T2DM [odds ratio (OR) 0.39 (95% confidence interval (Cl) 0.2-0.7); p=0.0059] and the allele AG has no significance and was equally distributed among control and cases with p-value=1.000. Conclusion Genotype GG of the JAZF1 variant was found significantly associated with the risk of developing type 2 diabetes mellitus in the Pakistani subset of the population.
Collapse
|
4
|
Liao ZZ, Wang YD, Qi XY, Xiao XH. JAZF1, a relevant metabolic regulator in type 2 diabetes. Diabetes Metab Res Rev 2019; 35:e3148. [PMID: 30838734 DOI: 10.1002/dmrr.3148] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 01/26/2019] [Accepted: 03/03/2019] [Indexed: 12/14/2022]
Abstract
Excessive adiposity and metabolic inflammation are the key risk factors of type 2 diabetes mellitus (T2DM). Juxtaposed with another zinc finger gene 1 (JAZF1) has been identified as a novel transcriptional cofactor, with function of regulating glucose and lipid homeostasis and inflammation. JAZF1 is involved in metabolic process of T2DM via interaction with several nuclear receptors and protein kinases. Additionally, increasing evidence from genome-wide association studies (GWAS) has shown that JAZF1 polymorphisms are closely associated with T2DM. In this review, we have updated the latest research advances on JAZF1 and discussed its regulatory network in T2DM. The association between JAZF1 polymorphisms and T2DM is discussed as well. The information provided is of importance for guiding future studies as well as for the design of JAZF1-based T2DM therapy.
Collapse
Affiliation(s)
- Zhe-Zhen Liao
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, China
| | - Ya-Di Wang
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, China
| | - Xiao-Yan Qi
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, China
| | - Xin-Hua Xiao
- Department of Metabolism and Endocrinology, The First Affiliated Hospital of University of South China, Hengyang, China
| |
Collapse
|
5
|
Chidambaram M, Liju S, Saboo B, Sathyavani K, Viswanathan V, Pankratz N, Gross M, Mohan V, Radha V. Replication of genome-wide association signals in Asian Indians with early-onset type 2 diabetes. Acta Diabetol 2016; 53:915-923. [PMID: 27488727 DOI: 10.1007/s00592-016-0889-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 07/12/2016] [Indexed: 01/22/2023]
Abstract
AIMS To evaluate the association of 87 genetic variants previously associated with type 2 diabetes mellitus (T2DM) in genome-wide association studies of populations of European ancestry in an Asian Indian population with early-onset type 2 diabetes mellitus (EOT2DM). METHODS The study groups comprised of 877 type 2 diabetes individuals, 436 individuals with EOT2DM (age at diagnosis below 35 years), 441 individuals with older T2DM (diagnosis at 35 years or greater) and controls with normal glucose tolerance (NGT) (n = 400 younger than 35 years; n = 438 older than 35 years). The participants were genotyped for 87 SNPs from 44 genes and 27 intergenic loci. Associations were tested using logistic regression. RESULTS All the variants in TCF7L2 and CDKN2A/2B showed study-wide significance (p < 1.4 × 10-4) with T2DM, but only rs7903146, rs12243326, rs12255372 of TCF7L2 and rs7020996 of CDKN2A/2B showed study-wide significance (p < 1.4 × 10-4) with EOT2DM in this population. In addition, an intergenic SNP on chromosome 1 (rs10493685) was also shown to be study-wide significant (p = 7.1 × 10-6). Several additional SNPs previously associated with T2DM reached borderline significance in this study, but may have been limited by relatively low sample numbers. Various other SNPs of T2DM were not associated with EOT2DM. CONCLUSIONS Some of the variants in TCF7L2 and CDKN2A/2B associated with T2DM are associated with EOT2DM as well. An intergenic SNP on chromosome 1p31 showed association only with early-onset T2DM in this Asian Indian population. The lack of association with many other SNPs of T2DM may be a reflection of the lack of power of the study, sample size, differences in the frequencies of genetic polymorphisms in different ethnic groups, effect sizes, as well as ancestral differences in pattern of LD between the genetic variants involved in early- and late-onset T2DM.
Collapse
Affiliation(s)
- Manickam Chidambaram
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
- Division of Cardiovascular Research, Sidra Medical and Research Center, Doha, Qatar
| | - Samuel Liju
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
| | - Banshi Saboo
- Diabetologist and Endocrine and Metabolic Physician at Diabetes Care and Hormone Clinic, Ahmedabad, Gujarat, India
| | - Kumpatla Sathyavani
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre, Chennai, Tamil Nadu, India
| | - Vijay Viswanathan
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre, Chennai, Tamil Nadu, India
| | - Nathan Pankratz
- Department of Laboratory Medicine Pathology, Medical School University of Minnesota, Minneapolis, MN, USA
| | - Myron Gross
- Department of Laboratory Medicine Pathology, Medical School University of Minnesota, Minneapolis, MN, USA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India
- Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control, IDF Centre of Education, Chennai, India
| | - Venkatesan Radha
- Madras Diabetes Research Foundation, 4, Conran Smith Road, Gopalapuram, Chennai, 600 086, India.
| |
Collapse
|
6
|
Rao P, Zhou Y, Ge SQ, Wang AX, Yu XW, Alzain MA, Veronica AK, Qiu J, Song MS, Zhang J, Wang H, Fang HH, Gao Q, Wang YX, Wang W. Validation of Type 2 Diabetes Risk Variants Identified by Genome-Wide Association Studies in Northern Han Chinese. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13090863. [PMID: 27589775 PMCID: PMC5036696 DOI: 10.3390/ijerph13090863] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 08/05/2016] [Accepted: 08/23/2016] [Indexed: 01/07/2023]
Abstract
Background: More than 60 genetic susceptibility loci associated with type 2 diabetes mellitus (T2DM) have been established in populations of Asian and European ancestry. Given ethnic differences and environmental factors, validation of the effects of genetic risk variants with reported associations identified by Genome-Wide Association Studies (GWASs) is essential. The study aims at evaluating the associations of T2DM with 29 single nucleotide polymorphisms (SNPs) from 19 candidate genes derived from GWASs in a northern Han Chinese population. Method: In this case-control study, 461 T2DM-diagnosed patients and 434 controls were recruited at the Jidong oil field hospital (Hebei, China) from January 2009 to October 2013. A cumulative genetic risk score (cGRS) was calculated by summation of the number of risk alleles, and a weight GRS (wGRS) was calculated as the sum of risk alleles at each locus multiplied by their effect sizes for T2DM, using the independent variants selected. Result: The allelic frequency of the “A” allele at rs17106184 (Fas-associated factor 1, FAF1) was significantly higher in the T2DM patients than that of the healthy controls (11.7% vs. 6.4%, p < 0.001). Individuals in the highestquartile of wGRS had an over three-fold increased risk for developing T2DM compared with those in the lowest quartile (odds ratio = 3.06, 95% CI = 1.92–4.88, p < 0.001) adjusted for age, sex, BMI, total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), systolic blood pressure (SBP) and diastolic blood pressure (DBP). The results were similar when analyzed with the cGRS. Conclusions: We confirmed the association between rs17106184 (FAF1) and T2DM in a northern Han Chinese population. The GRS calculated based on T2DM susceptibility variants may be a useful tool for predicting the T2DM susceptibility.
Collapse
Affiliation(s)
- Ping Rao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China.
| | - Yong Zhou
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
| | - Si-Qi Ge
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| | - An-Xin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
| | - Xin-Wei Yu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| | - Mohamed Ali Alzain
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Andrea Katherine Veronica
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jing Qiu
- School of Public Health, Ningxia Medical University, Yinchuan 750021, China.
| | - Man-Shu Song
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Hao Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Hong-Hong Fang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Qing Gao
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - You-Xin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China.
- School of Medical Sciences, Edith Cowan University, Perth, WA 6027, Australia.
| |
Collapse
|
7
|
Replication Study in a Japanese Population of Six Susceptibility Loci for Type 2 Diabetes Originally Identified by a Transethnic Meta-Analysis of Genome-Wide Association Studies. PLoS One 2016; 11:e0154093. [PMID: 27115357 PMCID: PMC4845992 DOI: 10.1371/journal.pone.0154093] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 04/08/2016] [Indexed: 01/21/2023] Open
Abstract
AIM We performed a replication study in a Japanese population to evaluate the association between type 2 diabetes and six susceptibility loci (TMEM154, SSR1, FAF1, POU5F1, ARL15, and MPHOSPH9) originally identified by a transethnic meta-analysis of genome-wide association studies (GWAS) in 2014. METHODS We genotyped 7,620 Japanese participants (5,817 type 2 diabetes patients and 1,803 controls) for each of the single nucleotide polymorphisms (SNPs) using a multiplex polymerase chain reaction invader assay. The association of each SNP locus with the disease was evaluated using logistic regression analysis. RESULTS Of the six SNPs examined in this study, four (rs6813195 near TMEM154, rs17106184 in FAF1, rs3130501 in POU5F1 and rs4275659 near MPHOSPH9) had the same direction of effect as in the original reports, but two (rs9505118 in SSR1 and rs702634 in ARL15) had the opposite direction of effect. Among these loci, rs3130501 and rs4275659 were nominally associated with type 2 diabetes (rs3130501; p = 0.017, odds ratio [OR] = 1.113, 95% confidence interval [CI] 1.019-1.215, rs4275659; p = 0.012, OR = 1.127, 95% CI 1.026-1.238, adjusted for sex, age and body mass index), but we did not observe a significant association with type 2 diabetes for any of the six evaluated SNP loci in our Japanese population. CONCLUSIONS Our results indicate that effects of the six SNP loci identified in the transethnic GWAS meta-analysis are not major among the Japanese, although SNPs in POU5F1 and MPHOSPH9 loci may have some effect on susceptibility to type 2 diabetes in this population.
Collapse
|
8
|
Ono M, Saibara T. Are genetic variations the most important risk factors for development of hepatocellular carcinoma? J Gastroenterol 2016; 51:404-5. [PMID: 26520856 DOI: 10.1007/s00535-015-1130-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Accepted: 09/30/2015] [Indexed: 02/04/2023]
Affiliation(s)
- Masafumi Ono
- Department of Gastroenterology and Hepatology, Kochi Medical School, Kochi, Japan.
| | - Toshiji Saibara
- Department of Gastroenterology and Hepatology, Kochi Medical School, Kochi, Japan
| |
Collapse
|
9
|
Yuasa K, Aoki N, Hijikata T. JAZF1 promotes proliferation of C2C12 cells, but retards their myogenic differentiation through transcriptional repression of MEF2C and MRF4-Implications for the role of Jazf1 variants in oncogenesis and type 2 diabetes. Exp Cell Res 2015; 336:287-97. [PMID: 26101156 DOI: 10.1016/j.yexcr.2015.06.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Revised: 06/09/2015] [Accepted: 06/15/2015] [Indexed: 11/16/2022]
Abstract
Single-nucleotide polymorphisms associated with type 2 diabetes (T2D) have been identified in Jazf1, which is also involved in the oncogenesis of endometrial stromal tumors. To understand how Jazf1 variants confer a risk of tumorigenesis and T2D, we explored the functional roles of JAZF1 and searched for JAZF1 target genes in myogenic C2C12 cells. Consistent with an increase of Jazf1 transcripts during myoblast proliferation and their decrease during myogenic differentiation in regenerating skeletal muscle, JAZF1 overexpression promoted cell proliferation, whereas it retarded myogenic differentiation. Examination of myogenic genes revealed that JAZF1 overexpression transcriptionally repressed MEF2C and MRF4 and their downstream genes. AMP deaminase1 (AMPD1) was identified as a candidate for JAZF1 target by gene array analysis. However, promoter assays of Ampd1 demonstrated that mutation of the putative binding site for the TR4/JAZF1 complex did not alleviate the repressive effects of JAZF1 on promoter activity. Instead, JAZF1-mediated repression of Ampd1 occurred through the MEF2-binding site and E-box within the Ampd1 proximal regulatory elements. Consistently, MEF2C and MRF4 expression enhanced Ampd1 promoter activity. AMPD1 overexpression and JAZF1 downregulation impaired AMPK phosphorylation, while JAZF1 overexpression also reduced it. Collectively, these results suggest that aberrant JAZF1 expression contributes to the oncogenesis and T2D pathogenesis.
Collapse
Affiliation(s)
- Katsutoshi Yuasa
- Department of Anatomy and Cell Biology, Research Institute of Pharmaceutical Science, Faculty of Pharmacy, Musashino University, Nishitokyo, Tokyo 202-8585, Japan
| | - Natsumi Aoki
- Department of Anatomy and Cell Biology, Research Institute of Pharmaceutical Science, Faculty of Pharmacy, Musashino University, Nishitokyo, Tokyo 202-8585, Japan
| | - Takao Hijikata
- Department of Anatomy and Cell Biology, Research Institute of Pharmaceutical Science, Faculty of Pharmacy, Musashino University, Nishitokyo, Tokyo 202-8585, Japan.
| |
Collapse
|
10
|
Kaul N, Singh YP, Bhanwer A. The influence of ethnicity in the association of WC, WHR, hypertension and PGC-1α (Gly482Ser), UCP2 −866 G/A and SIRT1 −1400 T/C polymorphisms with T2D in the population of Punjab. Gene 2015; 563:150-4. [DOI: 10.1016/j.gene.2015.03.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Revised: 02/26/2015] [Accepted: 03/11/2015] [Indexed: 01/06/2023]
|
11
|
Matsuba R, Sakai K, Imamura M, Tanaka Y, Iwata M, Hirose H, Kaku K, Maegawa H, Watada H, Tobe K, Kashiwagi A, Kawamori R, Maeda S. Replication Study in a Japanese Population to Evaluate the Association between 10 SNP Loci, Identified in European Genome-Wide Association Studies, and Type 2 Diabetes. PLoS One 2015; 10:e0126363. [PMID: 25951451 PMCID: PMC4423838 DOI: 10.1371/journal.pone.0126363] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Accepted: 04/01/2015] [Indexed: 11/19/2022] Open
Abstract
Aim We performed a replication study in a Japanese population to evaluate the association between type 2 diabetes and 7 susceptibility loci originally identified by European genome-wide association study (GWAS) in 2012: ZMIZ1, KLHDC5, TLE1, ANKRD55, CILP2, MC4R, and BCAR1. We also examined the association of 3 additional loci: CCND2 and GIPR, identified in sex-differentiated analyses, and LAMA1, which was shown to be associated with non-obese European type 2 diabetes. Methods We genotyped 6,972 Japanese participants (4,280 type 2 diabetes patients and 2,692 controls) for each of the 10 single nucleotide polymorphisms (SNPs): rs12571751 in ZMIZ1, rs10842994 near KLHDC5, rs2796441 near TLE1, rs459193 near ANKRD55, rs10401969 in CILP2, rs12970134 near MC4R, rs7202877 near BCAR1, rs11063069 near CCND2, rs8108269 near GIPR, and rs8090011 in LAMA1 using a multiplex polymerase chain reaction invader assay. The association of each SNP locus with the disease was evaluated using a logistic regression analysis. Results All SNPs examined in this study had the same direction of effect (odds ratio > 1.0, p = 9.77 × 10-4, binomial test), as in the original reports. Among them, rs12571751 in ZMIZ1 was significantly associated with type 2 diabetes [p = 0.0041, odds ratio = 1.123, 95% confidence interval 1.037–1.215, adjusted for sex, age and body mass index (BMI)], but we did not observe significant association of the remaining 9 SNP loci with type 2 diabetes in the present Japanese population (p ≥ 0.005). A genetic risk score, constructed from the sum of risk alleles for the 7 SNP loci identified by un-stratified analyses in the European GWAS meta-analysis were associated with type 2 diabetes in the present Japanese population (p = 2.3 × 10-4, adjusted for sex, age and BMI). Conclusions ZMIZ1 locus has a significant effect on conferring susceptibility to type 2 diabetes also in the Japanese population.
Collapse
Affiliation(s)
- Ren Matsuba
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Kensuke Sakai
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Minako Imamura
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- * E-mail:
| | - Yasushi Tanaka
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Minoru Iwata
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
- Community Medical Support Unit, Faculty of Medicine, University of Toyama, Toyama, Japan
| | - Hiroshi Hirose
- Health Center, Keio University School of Medicine, Tokyo, Japan
| | - Kohei Kaku
- Department of Internal Medicine, Kawasaki Medical School, Kurashiki, Japan
| | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Atsunori Kashiwagi
- Department of Medicine, Shiga University of Medical Science, Otsu, Japan
| | - Ryuzo Kawamori
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Shiro Maeda
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan
| |
Collapse
|
12
|
Alharbi KK, Ali Khan I, Syed R, Alharbi FK, Mohammed AK, Vinodson B, Al-Daghri NM. Association of JAZF1 and TSPAN8/LGR5 variants in relation to type 2 diabetes mellitus in a Saudi population. Diabetol Metab Syndr 2015; 7:92. [PMID: 26500707 PMCID: PMC4619989 DOI: 10.1186/s13098-015-0091-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 10/15/2015] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a chronic and multifactorial disease with a rapidly rising incidence in Saudi Arabia. Various genes including zinc finger protein 1 (JAZF1) and tetraspanin 8/leucine-rich repeat-containing G protein-coupled receptor (TSPAN8/LGR5) have been previously described to be associated with T2DM. This study investigated the association of JAZF1 (rs864745) and TSPAN8 (rs7961581) with T2DM in a Saudi population. METHODS Genomic DNA samples from 400 Saudi T2DM patients and 400 healthy controls were genotyped and analyzed using a polymerase chain reaction-restriction fragment length polymorphism method. The difference between the genotype frequencies were carried out with Chi-square test. Odds ratio, 95 % confidence intervals and p values were calculated using multinomial logistic regression. Dominant and recessive models were implemented to show the statistical significances. Analysis of variance was used to compare differences between genotypes for the various parameters. RESULTS Distribution frequencies of the AA, AG, and GG genotypes of JAZF1 (rs864745) differed significantly among T2DM patients and healthy controls (p < 0.05). The AG and GG genotypes were independently and significantly associated with a T2DM risk after adjusting for factors such as age, sex, and body mass index [odds ratio (OR) 2.1 (95 % confidence interval (CI) 1.3-3.4); p = 0.002] and [OR 1.9 (95 % CI 1.2-3.1); p = 0.005], respectively. A genotype-based stratification of anthropometric and biochemical data revealed that the AG + GG genotype is associated with waist circumference (p = 0.04) and fasting blood glucose (p = 0.01) and high-density lipoprotein cholesterol levels (p = 0.02). None of the allele or genotype showed the significant association between the T2DM cases and control subjects in rs7961581 polymorphism in TSPAN8/LGR5 gene. CONCLUSION The rs864745 variant in JAZF1 gene may act as genetic risk factors for the development of T2DM in a Saudi population.
Collapse
Affiliation(s)
- Khalid Khalaf Alharbi
- />Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh, 11433 Kingdom of Saudi Arabia
| | - Imran Ali Khan
- />Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh, 11433 Kingdom of Saudi Arabia
| | - Rabbani Syed
- />Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh, 11433 Kingdom of Saudi Arabia
| | - Fawiziah Khalaf Alharbi
- />Department of Biology Science, College of Science and Arts, Al-Qassim University, PO Box 1300, Buraidah, 51431 Kingdom of Saudi Arabia
| | - Abdul Khader Mohammed
- />Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451 Saudi Arabia
- />Biomarkers Research Program, Department of Biochemistry, College of Science, King Saud University, Riyadh, 11451 Saudi Arabia
| | - Benjamin Vinodson
- />Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451 Saudi Arabia
| | - Nasser M. Al-Daghri
- />Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451 Saudi Arabia
- />Biomarkers Research Program, Department of Biochemistry, College of Science, King Saud University, Riyadh, 11451 Saudi Arabia
| |
Collapse
|
13
|
Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes. PLoS One 2013; 8:e83093. [PMID: 24376643 PMCID: PMC3869744 DOI: 10.1371/journal.pone.0083093] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Accepted: 11/03/2013] [Indexed: 11/28/2022] Open
Abstract
Background Recent genome-wide association studies (GWAS) identified more than 70 novel loci for type 2 diabetes (T2D), some of which have been widely replicated in Asian populations. In this study, we investigated their individual and combined effects on T2D in a Chinese population. Methodology We selected 14 single nucleotide polymorphisms (SNPs) in T2D genes relating to beta-cell function validated in Asian populations and genotyped them in 5882 Chinese T2D patients and 2569 healthy controls. A combined genetic score (CGS) was calculated by summing up the number of risk alleles or weighted by the effect size for each SNP under an additive genetic model. We tested for associations by either logistic or linear regression analysis for T2D and quantitative traits, respectively. The contribution of the CGS for predicting T2D risk was evaluated by receiver operating characteristic (ROC) analysis and net reclassification improvement (NRI). Results We observed consistent and significant associations of IGF2BP2, WFS1, CDKAL1, SLC30A8, CDKN2A/B, HHEX, TCF7L2 and KCNQ1 (8.5×10−18<P<8.5×10−3), as well as nominal associations of NOTCH2, JAZF1, KCNJ11 and HNF1B (0.05<P<0.1) with T2D risk, which yielded odds ratios ranging from 1.07 to 2.09. The 8 significant SNPs exhibited joint effect on increasing T2D risk, fasting plasma glucose and use of insulin therapy as well as reducing HOMA-β, BMI, waist circumference and younger age of diagnosis of T2D. The addition of CGS marginally increased AUC (2%) but significantly improved the predictive ability on T2D risk by 11.2% and 11.3% for unweighted and weighted CGS, respectively using the NRI approach (P<0.001). Conclusion In a Chinese population, the use of a CGS of 8 SNPs modestly but significantly improved its discriminative ability to predict T2D above and beyond that attributed to clinical risk factors (sex, age and BMI).
Collapse
|
14
|
Saxena R, Saleheen D, Been LF, Garavito ML, Braun T, Bjonnes A, Young R, Ho WK, Rasheed A, Frossard P, Sim X, Hassanali N, Radha V, Chidambaram M, Liju S, Rees SD, Ng DPK, Wong TY, Yamauchi T, Hara K, Tanaka Y, Hirose H, McCarthy MI, Morris AP, Basit A, Barnett AH, Katulanda P, Matthews D, Mohan V, Wander GS, Singh JR, Mehra NK, Ralhan S, Kamboh MI, Mulvihill JJ, Maegawa H, Tobe K, Maeda S, Cho YS, Tai ES, Kelly MA, Chambers JC, Kooner JS, Kadowaki T, Deloukas P, Rader DJ, Danesh J, Sanghera DK. Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India. Diabetes 2013; 62:1746-55. [PMID: 23300278 PMCID: PMC3636649 DOI: 10.2337/db12-1077] [Citation(s) in RCA: 128] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
We performed a genome-wide association study (GWAS) and a multistage meta-analysis of type 2 diabetes (T2D) in Punjabi Sikhs from India. Our discovery GWAS in 1,616 individuals (842 case subjects) was followed by in silico replication of the top 513 independent single nucleotide polymorphisms (SNPs) (P < 10⁻³) in Punjabi Sikhs (n = 2,819; 801 case subjects). We further replicated 66 SNPs (P < 10⁻⁴) through genotyping in a Punjabi Sikh sample (n = 2,894; 1,711 case subjects). On combined meta-analysis in Sikh populations (n = 7,329; 3,354 case subjects), we identified a novel locus in association with T2D at 13q12 represented by a directly genotyped intronic SNP (rs9552911, P = 1.82 × 10⁻⁸) in the SGCG gene. Next, we undertook in silico replication (stage 2b) of the top 513 signals (P < 10⁻³) in 29,157 non-Sikh South Asians (10,971 case subjects) and de novo genotyping of up to 31 top signals (P < 10⁻⁴) in 10,817 South Asians (5,157 case subjects) (stage 3b). In combined South Asian meta-analysis, we observed six suggestive associations (P < 10⁻⁵ to < 10⁻⁷), including SNPs at HMG1L1/CTCFL, PLXNA4, SCAP, and chr5p11. Further evaluation of 31 top SNPs in 33,707 East Asians (16,746 case subjects) (stage 3c) and 47,117 Europeans (8,130 case subjects) (stage 3d), and joint meta-analysis of 128,127 individuals (44,358 case subjects) from 27 multiethnic studies, did not reveal any additional loci nor was there any evidence of replication for the new variant. Our findings provide new evidence on the presence of a population-specific signal in relation to T2D, which may provide additional insights into T2D pathogenesis.
Collapse
Affiliation(s)
- Richa Saxena
- Center for Human Genetic Research and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Danish Saleheen
- Center for Non-Communicable Diseases, Karachi, Pakistan
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
- Departments of Biostatistics and Epidemiology and Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Latonya F. Been
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Martha L. Garavito
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Timothy Braun
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Andrew Bjonnes
- Center for Human Genetic Research and Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Robin Young
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | - Weang Kee Ho
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | - Asif Rasheed
- Center for Non-Communicable Diseases, Karachi, Pakistan
| | | | - Xueling Sim
- Center for Statistical Genetics and Department of Statistics, University of Michigan, Ann Arbor, Michigan
- Centre for Molecular Epidemiology, National University of Singapore, Singapore
| | - Neelam Hassanali
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
| | | | | | - Samuel Liju
- Madras Diabetes Research Foundation, Chennai, India
| | - Simon D. Rees
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, U.K
- Diabetes Centre, Heart of England National Health Service Foundation Trust, Birmingham, U.K
| | - Daniel Peng-Keat Ng
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Department of Ophthalmology, National University of Singapore, Singapore
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuo Hara
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Integrated Molecular Science on Metabolic Diseases, 22nd Century Medical and Research Center, The University of Tokyo, Tokyo, Japan
| | - Yasushi Tanaka
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kanagawa, Japan
| | - Hiroshi Hirose
- Health Center, Keio University School of Medicine, Tokyo, Japan
| | - Mark I. McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Oxford National Institute for Health Research Biomedical Research Centre, Churchill Hospital, Oxford, U.K
| | - Andrew P. Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
| | | | | | | | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology, Karachi, Pakistan
| | - Anthony H. Barnett
- Diabetes Centre, Heart of England National Health Service Foundation Trust, Birmingham, U.K
| | - Prasad Katulanda
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
- Diabetes Research Unit, Department of Clinical Medicine, University of Colombo, Colombo, Sri Lanka
| | - David Matthews
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford, U.K
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, India
- Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Gurpreet S. Wander
- Hero Dayanand Medical College and Heart Institute, Ludhiana, Punjab, India
| | - Jai Rup Singh
- Central University of Punjab, Bathinda, Punjab, India
| | - Narinder K. Mehra
- All India Institute of Medical Sciences and Research, New Delhi, India
| | - Sarju Ralhan
- Hero Dayanand Medical College and Heart Institute, Ludhiana, Punjab, India
| | - M. Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - John J. Mulvihill
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Shiro Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Kanagawa, Japan
| | - Yoon S. Cho
- Department of Biomedical Science, Hallym University, Chuncheon, Gangwon-do 200-702, Republic of Korea
| | - E. Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Duke-NUS Graduate Medical School Singapore, Singapore
| | - M. Ann Kelly
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, U.K
- Diabetes Centre, Heart of England National Health Service Foundation Trust, Birmingham, U.K
| | - John C. Chambers
- Ealing Hospital National Health Service Trust, Middlesex, U.K
- Imperial College Healthcare National Health Service Trust, London, U.K
- Epidemiology and Biostatistics, Imperial College London, London, U.K
| | - Jaspal S. Kooner
- Ealing Hospital National Health Service Trust, Middlesex, U.K
- Imperial College Healthcare National Health Service Trust, London, U.K
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, London, U.K
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Daniel J. Rader
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, U.K
| | - Dharambir K. Sanghera
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
- Corresponding author: Dharambir K. Sanghera,
| |
Collapse
|
15
|
Gamboa-Meléndez MA, Huerta-Chagoya A, Moreno-Macías H, Vázquez-Cárdenas P, Ordóñez-Sánchez ML, Rodríguez-Guillén R, Riba L, Rodríguez-Torres M, Guerra-García MT, Guillén-Pineda LE, Choudhry S, del Bosque-Plata L, Canizales-Quinteros S, Pérez-Ortiz G, Escobedo-Aguirre F, Parra A, Lerman-Garber I, Aguilar-Salinas CA, Tusié-Luna MT. Contribution of common genetic variation to the risk of type 2 diabetes in the Mexican Mestizo population. Diabetes 2012; 61:3314-21. [PMID: 22923468 PMCID: PMC3501881 DOI: 10.2337/db11-0550] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Several studies have identified nearly 40 different type 2 diabetes susceptibility loci, mainly in European populations, but few of them have been evaluated in the Mexican population. The aim of this study was to examine the extent to which 24 common genetic variants previously associated with type 2 diabetes are associated in Mexican Mestizos. Twenty-four single nucleotide polymorphisms (SNPs) in or near genes (KCNJ11, PPARG, TCF7L2, SLC30A8, HHEX, CDKN2A/2B, CDKAL1, IGF2BP2, ARHGEF11, JAZF1, CDC123/CAMK1D, FTO, TSPAN8/LGR5, KCNQ1, THADA, ADAMTS9, NOTCH2, NXPH1, RORA, UBQLNL, and RALGPS2) were genotyped in Mexican Mestizos. A case-control association study comprising 1,027 type 2 diabetic individuals and 990 control individuals was conducted. To account for population stratification, a panel of 104 ancestry-informative markers was analyzed. Association to type 2 diabetes was found for rs13266634 (SLC30A8), rs7923837 (HHEX), rs10811661 (CDKN2A/2B), rs4402960 (IGF2BP2), rs12779790 (CDC123/CAMK1D), and rs2237892 (KCNQ1). In addition, rs7754840 (CDKAL1) was associated in the nonobese type 2 diabetic subgroup, and for rs7903146 (TCF7L2), association was observed for early-onset type 2 diabetes. Lack of association for the rest of the variants may have resulted from insufficient power to detect smaller allele effects.
Collapse
Affiliation(s)
- Marco Alberto Gamboa-Meléndez
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Alicia Huerta-Chagoya
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- División de Ciencias Sociales y Humanidades, Departamento de Economía, Universidad Autónoma Metropolitana Iztapalapa, Mexico City, Mexico
| | - Paola Vázquez-Cárdenas
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - María Luisa Ordóñez-Sánchez
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Rosario Rodríguez-Guillén
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Laura Riba
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Maribel Rodríguez-Torres
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - María Teresa Guerra-García
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Luz Elizabeth Guillén-Pineda
- Departamento de Endocrinología y Metabolismo de Lípidos, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Shweta Choudhry
- Department of Urology and Institute for Human Genetics, University of California, San Francisco, San Francisco, California
| | | | - Samuel Canizales-Quinteros
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Gustavo Pérez-Ortiz
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Fernando Escobedo-Aguirre
- Unidad Materno Fetal, Hospital 20 de Noviembre, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado, Mexico City, Mexico
| | - Adalberto Parra
- Departamento de Endocrinología, Instituto Nacional de Perinatología Isidro Espinoza de los Reyes, Mexico City, Mexico
| | - Israel Lerman-Garber
- Departamento de Endocrinología y Metabolismo de Lípidos, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Carlos Alberto Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo de Lípidos, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Corresponding authors: María Teresa Tusié-Luna, , and Carlos Alberto Aguilar-Salinas,
| | - María Teresa Tusié-Luna
- Unidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas de la Universidad Nacional Autónoma de México e Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Corresponding authors: María Teresa Tusié-Luna, , and Carlos Alberto Aguilar-Salinas,
| |
Collapse
|
16
|
Genetic variants on chromosome 6p21.1 and 6p22.3 are associated with type 2 diabetes risk: a case-control study in Han Chinese. J Hum Genet 2012; 57:320-5. [PMID: 22437209 DOI: 10.1038/jhg.2012.25] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Recent genome-wide association studies have identified several single nucleotide polymorphisms (SNPs) on chromosome 6p21.1 and 6p22.3 as type 2 diabetes (T2D) susceptibility loci in the European and Japanese populations. However, these SNPs have not been well evaluated in Chinese population. Here, we performed a case-control study with 2925 T2D cases and 3281 controls in a Chinese population. We used TaqMan OpenArray and Sequenom MassARRAY to genotype the four SNPs (rs4712523, rs7756992, rs4712524 and rs6931514) in CDKAL1 (cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1) at 6p22.3 and one SNP (rs9472138) near vascular endothelial growth factor A (VEGFA) at 6p21.1. All the five SNPs were significantly associated with T2D risk with overall effects (odds ratio, OR) from 1.19 to 1.29 in the additive genetic model (rs6931514: OR=1.29, 95% confidence intervals (95% CI)=1.19-1.39, P=5.6 × 10(-10); rs7756992: OR=1.23, 95% CI=1.15-1.32, P=1.2 × 10(-8); rs4712523: OR=1.25, 95% CI=1.15-1.35, P=3.8 × 10(-8); rs4712524: OR=1.24, 95% CI=1.15-1.35, P=6.8 × 10(-8); rs9472138: OR=1.19, 95% CI=1.05-1.34, P=006). Conditional analysis identified two independent signals (rs6931514 at 6p22.3 and rs9472138 at 6p21.1) that were significantly associated with T2D. Compared with the wild homozygote of rs6931514 and rs9472138, subjects with variant alleles of the two SNPs had increased risk for T2D susceptibility in a dose-response manner (P(trend)=7.4 × 10(-12)). Our findings indicated that genetic variants of CDKAL1 and VEGFA on chromosome 6 may contribute to T2D risk in Chinese population, especially for rs9472138 at 6p21.1 identified for the first time to significantly increase the T2D risk in Chinese individuals.
Collapse
|
17
|
Imamura M, Iwata M, Maegawa H, Watada H, Hirose H, Tanaka Y, Tobe K, Kaku K, Kashiwagi A, Kawamori R, Nakamura Y, Maeda S. Genetic variants at CDC123/CAMK1D and SPRY2 are associated with susceptibility to type 2 diabetes in the Japanese population. Diabetologia 2011; 54:3071-7. [PMID: 21909839 DOI: 10.1007/s00125-011-2293-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2011] [Accepted: 07/29/2011] [Indexed: 01/08/2023]
Abstract
AIMS/HYPOTHESIS Recently, rs10906115 in CDC123/CAMK1D, rs1359790 near SPRY2, rs1436955 in C2CD4A/C2CD4B and rs10751301 in ODZ4 were identified as genetic risk variants for type 2 diabetes by a genome-wide association study in a Chinese population. The aim of the present study was to ascertain the role of these four variants in conferring susceptibility to type 2 diabetes in the Japanese population. METHODS We genotyped 11,530 Japanese individuals (8,552 type 2 diabetes cases, 2,978 controls) for the above single nucleotide polymorphisms (SNPs) and used logistic regression analysis to determine whether they were associated with type 2 diabetes. RESULTS In accordance with the findings in a Chinese population, rs10906115 A, rs1359790 C and rs1436955 G were found to be risk alleles. Both rs10906115 and rs1359790 were significantly associated with susceptibility to type 2 diabetes in our study (rs10906115 OR 1.15, 95% CI 1.08, 1.22; p = 6.10 × 10(-6); rs1359790 OR 1.14, 95% CI 1.06, 1.21; p = 2.24 × 10(-4)). Adjustment for age, sex and BMI had no significant effects on the association between these variants and the disease. We did not observe any significant associations between the SNPs and any metabolic traits, e.g. BMI, fasting plasma glucose (determined for 1,332 controls), HOMA of beta cell function (900 controls) and HOMA of insulin resistance (900 controls; p > 0.05). CONCLUSIONS/INTERPRETATION The SNPs rs10906115 A and rs1359790 C are significantly associated with susceptibility to type 2 diabetes in the Japanese population, confirming that these alleles are common susceptibility variants for type 2 diabetes in East Asian populations.
Collapse
Affiliation(s)
- M Imamura
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
18
|
Ohshige T, Iwata M, Omori S, Tanaka Y, Hirose H, Kaku K, Maegawa H, Watada H, Kashiwagi A, Kawamori R, Tobe K, Kadowaki T, Nakamura Y, Maeda S. Association of new loci identified in European genome-wide association studies with susceptibility to type 2 diabetes in the Japanese. PLoS One 2011; 6:e26911. [PMID: 22046406 PMCID: PMC3202571 DOI: 10.1371/journal.pone.0026911] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2011] [Accepted: 10/06/2011] [Indexed: 12/25/2022] Open
Abstract
Background Several novel susceptibility loci for type 2 diabetes have been identified through genome-wide association studies (GWAS) for type 2 diabetes or quantitative traits related to glucose metabolism in European populations. To investigate the association of the 13 new European GWAS-derived susceptibility loci with type 2 diabetes in the Japanese population, we conducted a replication study using 3 independent Japanese case-control studies. Methodology/Principal Findings We examined the association of single nucleotide polymorphisms (SNPs) within 13 loci (MTNR1B, GCK, IRS1, PROX1, BCL11A, ZBED3, KLF14, TP53INP1, KCNQ1, CENTD2, HMGA2, ZFAND6 and PRC1) with type 2 diabetes using 4,964 participants (2,839 cases and 2,125 controls) from 3 independent Japanese samples. The association of each SNP with type 2 diabetes was analyzed by logistic regression analysis. Further, we performed combined meta-analyses for the 3 studies and previously performed Japanese GWAS data (4,470 cases vs. 3,071 controls). The meta-analysis revealed that rs2943641 in the IRS1 locus was significantly associated with type 2 diabetes, (P = 0.0034, OR = 1.15 95% confidence interval; 1.05–1.26) and 3 SNPs, rs10930963 in the MTNR1B locus, rs972283 in the KLF14 locus, and rs231362 in the KCNQ1 locus, had nominal association with type 2 diabetes in the present Japanese samples (P<0.05). Conclusions These results indicate that IRS1 locus may be common locus for type 2 diabetes across different ethnicities.
Collapse
Affiliation(s)
- Toshihiko Ohshige
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama, Kanagawa, Japan
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Minoru Iwata
- First Department of Internal Medicine, Faculty of Medicine, Toyama University, Toyama, Japan
| | - Shintaro Omori
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Yasushi Tanaka
- Department of Internal Medicine, Division of Metabolism and Endocrinology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan
| | - Hiroshi Hirose
- Health Center, Keio University School of Medicine, Tokyo, Japan
| | - Kohei Kaku
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kawasaki Medical School, Kurashiki, Okayama, Japan
| | - Hiroshi Maegawa
- Department of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Hirotaka Watada
- Department of Medicine, Metabolism and Endocrinology, School of Medicine, Juntendo University, Tokyo, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Atsunori Kashiwagi
- Department of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Ryuzo Kawamori
- Department of Medicine, Metabolism and Endocrinology, School of Medicine, Juntendo University, Tokyo, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, Faculty of Medicine, Toyama University, Toyama, Japan
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Shiro Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama, Kanagawa, Japan
- Sportology Center, Graduate School of Medicine, Juntendo University, Tokyo, Japan
- * E-mail:
| |
Collapse
|
19
|
Schäfer SA, Machicao F, Fritsche A, Häring HU, Kantartzis K. New type 2 diabetes risk genes provide new insights in insulin secretion mechanisms. Diabetes Res Clin Pract 2011; 93 Suppl 1:S9-24. [PMID: 21864758 DOI: 10.1016/s0168-8227(11)70008-0] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Type 2 diabetes results from the inability of beta cells to increase insulin secretion sufficiently to compensate for insulin resistance. Insulin resistance is thought to result mainly from environmental factors, such as obesity. However, there is compelling evidence that the decline of both insulin sensitivity and insulin secretion have also a genetic component. Recent genome-wide association studies identified several novel risk genes for type 2 diabetes. The vast majority of these genes affect beta cell function by molecular mechanisms that remain unknown in detail. Nevertheless, we and others could show that a group of genes affect glucose-stimulated insulin secretion, a group incretin-stimulated insulin secretion (incretin sensitivity or secretion) and a group proinsulin-to-insulin conversion. The most important so far type 2 diabetes risk gene, TCF7L2, interferes with all three mechanisms. In addition to advancing knowledge in the pathophysiology of type 2 diabetes, the discovery of novel genetic determinants of diabetes susceptibility may help understanding of gene-environment, gene-therapy and gene-gene interactions. It was also hoped that it could make determination of the individual risk for type 2 diabetes feasible. However, the allelic relative risks of most genetic variants discovered so far are relatively low. Thus, at present, clinical criteria assess the risk for type 2 diabetes with greater sensitivity and specificity than the combination of all known genetic variants.
Collapse
Affiliation(s)
- Silke A Schäfer
- Department of Internal Medicine, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University of Tübingen, Germany
| | | | | | | | | |
Collapse
|
20
|
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
|
21
|
Abstract
Genome-wide association studies (GWAS) have facilitated a substantial and rapid rise in the number of confirmed genetic susceptibility variants for type 2 diabetes (T2D). Approximately 40 variants have been identified so far, many of which were discovered through GWAS. This success has led to widespread hope that the findings will translate into improved clinical care for the increasing numbers of patients with diabetes. Potential areas or clinical translation include risk prediction and subsequent disease prevention, pharmacogenetics, and the development of novel therapeutics. However, the genetic loci so far identified account for only a small fraction (approximately 10%) of the overall heritable risk for T2D. Uncovering the missing heritability is essential to the progress of T2D genetic studies and to the translation of genetic information into clinical practice.
Collapse
Affiliation(s)
- Minako Imamura
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, Japan
| | | |
Collapse
|
22
|
Ng MCY, Lam VKL, Tam CHT, Chan AWH, So WY, Ma RCW, Zee BCY, Waye MMY, Mak WW, Hu C, Wang CR, Tong PCY, Jia WP, Chan JCN. Association of the POU class 2 homeobox 1 gene (POU2F1) with susceptibility to Type 2 diabetes in Chinese populations. Diabet Med 2010; 27:1443-9. [PMID: 21059098 DOI: 10.1111/j.1464-5491.2010.03124.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
AIMS POU class 2 homeobox 1 (POU2F1), also known as octamer-binding transcription factor-1 (OCT-1), is a ubiquitous transcription factor that plays a key role in the regulation of genes related to inflammation and cell cycles. POU2F1 is located on chromosome 1q24, a region with linkage for Type 2 diabetes in Chinese and other populations. We examined the association of POU2F1 genetic variants with Type 2 diabetes in Hong Kong Chinese using two independent cohorts. METHODS We genotyped five haplotype-tagging single nucleotide polymorphisms at POU2F1 in 1378 clinic-based patients with Type 2 diabetes and 601 control subjects, as well as 707 members from 179 families with diabetes. RESULTS We found significant associations of rs4657652, rs7532692, rs10918682 and rs3767434 (OR = 1.26-1.59, 0.0003 < P(unadjusted) < 0.035) with Type 2 diabetes in the clinic-based case-control cohorts. Rs3767434 was also associated with Type 2 diabetes (OR = 1.55, P(unadjusted) = 0.013) in the family-based cohort. Meta-analysis revealed similar associations. In addition, the risk G allele of rs10918682 showed increased usage of insulin treatment during a mean follow-up period of 7 years [hazard ratio = 1.50 (1.05-2.14), P = 0.025]. CONCLUSIONS Using separate cohorts, we observed consistent results showing the contribution of multiple variants at POU2F1 to the risk of Type 2 diabetes.
Collapse
Affiliation(s)
- M C Y Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
23
|
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
|
24
|
Maeda S, Araki SI, Babazono T, Toyoda M, Umezono T, Kawai K, Imanishi M, Uzu T, Watada H, Suzuki D, Kashiwagi A, Iwamoto Y, Kaku K, Kawamori R, Nakamura Y. Replication study for the association between four Loci identified by a genome-wide association study on European American subjects with type 1 diabetes and susceptibility to diabetic nephropathy in Japanese subjects with type 2 diabetes. Diabetes 2010; 59:2075-9. [PMID: 20460425 PMCID: PMC2911071 DOI: 10.2337/db10-0067] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Genetic factors are believed to contribute to the development and progression of diabetic nephropathy. Recently, a genome-wide association study for diabetic nephropathy revealed four novel candidate loci in European American subjects with type 1 diabetes. In this study, we determined the association of the four loci with diabetic nephropathy in Japanese subjects with type 2 diabetes. RESEARCH DESIGN AND METHODS We genotyped 11 singlenucleotide polymorphisms (SNPs) in four distinct loci (rs39059 and rs39075 in the CPVL/CHN2, rs1888747 and rs10868025 in FRMD3, rs739401 and rs451041 in CARS, and rs1041466, rs1411766, rs6492208, rs7989848, and rs9521445 in a chromosome 13q locus) in four independent Japanese populations. RESULTS Six SNPs were nominally associated with diabetic nephropathy in one of the four Japanese populations (P < 0.05; rs451041 in study 1; rs39059 and rs1888747 in study 3; rs1411766 in studies 1 and 4; and rs7989848 and rs9521445 in study 4); however, no significant association was observed for any SNP after correction for multiple testing errors in the individual populations. Nevertheless, a meta-analysis performed for the data obtained from all four populations revealed that one SNP (rs1411766) in chromosome 13q was significantly associated with diabetic nephropathy in the Japanese populations (nominal P = 0.004, corrected P = 0.04, odds ratio 1.26 [95% CI = 1.07-1.47]). CONCLUSIONS Our results suggest that the rs1411766 locus may be commonly involved in conferring susceptibility to diabetic nephropathy among subjects with type 1 or type 2 diabetes across different ethnic groups.
Collapse
Affiliation(s)
- Shiro Maeda
- Laboratory for Endocrinology and Metabolism, RIKEN Center for Genomic Medicine, Yokohama, Japan.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
25
|
Xiong F, Wu C, Bi X, Yu D, Huang L, Xu J, Zhang T, Zhai K, Chang J, Tan W, Cai J, Lin D. Risk of genome-wide association study-identified genetic variants for colorectal cancer in a Chinese population. Cancer Epidemiol Biomarkers Prev 2010; 19:1855-61. [PMID: 20530476 DOI: 10.1158/1055-9965.epi-10-0210] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Recent genome-wide association studies have identified 10 single nucleotide polymorphisms (SNP) associated with colorectal cancer (CRC) in Caucasians. This study evaluated the effects of these newly identified SNPs in a Chinese population. METHODS We assessed the associations of these 10 SNPs with CRC in a case-control study that consisted of 2,124 cases and 2,124 controls. Odds ratios (OR) and 95% confidence intervals were computed by logistic regression, and cumulative effect of risk genotypes were also calculated. RESULTS We found that only five SNPs (rs6983267, rs4939827, rs10795668, rs3802842, and rs961253) were significantly associated with risk of CRC in our study population in the same direction as reported by previous genome-wide association studies, with the ORs ranging from 1.11 to 2.96. A cumulative effect was observed with the ORs being gradually elevated with increasing number of risk genotypes (P(trend) = 1.32 x 10(-21)), and patients carrying > or = 4 risk genotypes had 3.25-fold increased CRC risk (95% confidence interval, 2.24-4.72) compared with patients carrying no risk genotype. Furthermore, we found that rs10795668 was associated with increased risk only in rectal cancer but not colon cancer, and rs3802842 was also significantly associated with advanced stages of CRC. CONCLUSIONS These results suggest that rs6983267, rs4939827, rs10795668, rs3802842, and rs961253 SNPs are associated with the risk of CRC in the Chinese population individually and jointly. IMPACT Our results provide new insights into colorectal tumorigenesis and have potential implications in early detection and target treatment of CRC in non-Western populations.
Collapse
Affiliation(s)
- Fang Xiong
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing 100021, China
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|