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Dong Y, Huang G, Wang X, Chu Z, Miao J, Zhou H. Meta-analysis of the association between adiponectin SNP 45, SNP 276, and type 2 diabetes mellitus. PLoS One 2020; 15:e0241078. [PMID: 33091065 PMCID: PMC7580922 DOI: 10.1371/journal.pone.0241078] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 10/07/2020] [Indexed: 02/07/2023] Open
Abstract
Objective The present study aimed to determine whether the polymorphisms at rs2241766 and rs1501299 on the ADIPOQ gene were related to the susceptibility of type 2 diabetes mellitus (T2DM). Methods Eight databases, PubMed, GWAS, Embase, Lochrane, Ebsco, CNKI (Chinese National Knowledge Infrastructure), VIP (Viper Database) and ChinaInfo were searched, and a meta-analysis of susceptibility was conducted between SNP45, SNP276 polymorphisms and T2DM. Furthermore, HWE test was conducted to assess the genetic balance of the study, evaluate the quality of Newcastle–Ottawa quality assessment scale (NOS), and establishing allelic, dominant, recessive, heterozygous, and homozygous gene models. Results This meta-analysis included 53 articles, encompassing 9285 cases with rs2241766 and 14156 controls and 7747 cases with rs1501299 and 10607 controls. For the rs2241766 locus, a significant correlation was found in the three models by the subgroup analysis. Western Asians: dominant gene model (TT + TG vs. GG, P = 0.01); heterozygous gene model (TG vs. GG, P = 0.02); homozygous gene model (TT vs. GG, P = 0.01). South Asians: dominant gene model (TT + TG vs. GG, P = 0.004); heterozygous gene model (TG vs. GG, P = 0.009); homozygous gene model (TT vs. GG, P = 0.005). However, no statistically significant correlation was established among the five genetic models for rs1501299 locus. Conclusion The findings of the present study indicated that the T allele of rs2241766 polymorphism is the susceptibility locus of T2DM in the West Asian population, but has a protective effect in the South Asian population, albeit further studies are needed in other populations. Also, no association was found between the ADIPOQ rs1501299 polymorphism and T2DM.
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Affiliation(s)
- Yuwei Dong
- College of Food and Biology Engineering, Xuzhou University of Technology, Xuzhou, Jiangsu, China
- * E-mail:
| | - Gongping Huang
- College of Food and Biology Engineering, Xuzhou University of Technology, Xuzhou, Jiangsu, China
| | - Xin Wang
- College of Food and Biology Engineering, Xuzhou University of Technology, Xuzhou, Jiangsu, China
| | - Zhaoming Chu
- College of Food and Biology Engineering, Xuzhou University of Technology, Xuzhou, Jiangsu, China
| | - Jingzhi Miao
- College of Food and Biology Engineering, Xuzhou University of Technology, Xuzhou, Jiangsu, China
| | - Houwen Zhou
- Xuzhou Technology Limited Company of United Gene, Xuzhou, Jiangsu, China
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Sarhangi N, Sharifi F, Hashemian L, Hassani Doabsari M, Heshmatzad K, Rahbaran M, Jamaldini SH, Aghaei Meybodi HR, Hasanzad M. PPARG (Pro12Ala) genetic variant and risk of T2DM: a systematic review and meta-analysis. Sci Rep 2020; 10:12764. [PMID: 32728045 PMCID: PMC7391673 DOI: 10.1038/s41598-020-69363-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 07/06/2020] [Indexed: 12/11/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a complex disease caused by the interaction between genetic and environmental factors. A growing number of evidence suggests that the peroxisome proliferator-activated receptor gamma (PPARG) gene plays a major role in T2DM development. Meta-analysis of genetic association studies is an efficient tool to gain a better understanding of multifactorial diseases and potentially to provide valuable insights into gene-disease interactions. The present study was focused on assessing the association between Pro12Ala variation in the PPARG and T2DM risk through a comprehensive meta-analysis. We searched PubMed, WoS, Embase, Scopus and ProQuest from 1990 to 2017. The fixed-effect or random-effect model was used to evaluate the pooled odds ratios (ORs) and 95% confidence intervals (CIs) depending on the heterogeneity among studies. The sources of heterogeneity and publication bias among the included studies were assessed using I2 statistics and Egger's tests. A total of 73 studies, involving 62,250 cases and 69,613 controls were included. The results showed that the minor allele (G) of the rs1801282 variant was associated with the decreased risk of T2DM under different genetic models. Moreover, the protective effect of minor allele was detected to be significantly more in some ethnicities including the European (18%), East Asian (20%), and South East Asian (18%). And the reduction of T2DM risk in Ala12 carriers was stronger in individuals from North Europe rather than Central and South Europe. Our findings indicated that the rs1801282 variant may contribute to decrease of T2DM susceptibility in different ancestries.
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Affiliation(s)
- Negar Sarhangi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Farshad Sharifi
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Leila Hashemian
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Maryam Hassani Doabsari
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Katayoun Heshmatzad
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Marzieh Rahbaran
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Seyed Hamid Jamaldini
- Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran
| | - Hamid Reza Aghaei Meybodi
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran.,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran
| | - Mandana Hasanzad
- Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, 1411413137, Tehran, Iran. .,Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, 1916893813, Tehran, Iran.
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Bains V, Kaur H, Badaruddoza. Association study of the single‐nucleotide polymorphisms −3971G/A and +276G/T in the adiponectin gene with type 2 diabetes in a North Indian Punjabi population. Ann Hum Genet 2019; 84:235-248. [DOI: 10.1111/ahg.12366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 07/16/2019] [Accepted: 10/28/2019] [Indexed: 12/18/2022]
Affiliation(s)
- Veena Bains
- Department of Human Genetics Guru Nanak Dev University Amritsar Punjab India
| | - Harjit Kaur
- Department of Human Genetics Guru Nanak Dev University Amritsar Punjab India
| | - Badaruddoza
- Department of Human Genetics Guru Nanak Dev University Amritsar Punjab India
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Wang YZ, Zhang HY, Liu F, Li L, Deng SM, He ZY. Association between PPARG genetic polymorphisms and ischemic stroke risk in a northern Chinese Han population: a case-control study. Neural Regen Res 2019; 14:1986-1993. [PMID: 31290457 PMCID: PMC6676861 DOI: 10.4103/1673-5374.259621] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Two common polymorphisms of the peroxisome proliferator-activated receptor gamma (PPARG) gene, rs1801282 and rs3856806, may be important candidate gene loci affecting the susceptibility to ischemic stroke. This case-control study sought to identify the relationship between these two single-nucleotide polymorphisms and ischemic stroke risk in a northern Chinese Han population. A total of 910 ischemic stroke participants were recruited from the First Hospital of China Medical University, Shenyang, China as a case group, of whom 895 completed the study. The 883 healthy controls were recruited from the Health Check Center of the First Hospital of China Medical University, Shenyang, China. All participants or family members provided informed consent. The study protocol was approved by the Ethics Committee of the First Hospital of China Medical University, China on February 20, 2012 (approval No. 2012-38-1). The protocol was registered with the Chinese Clinical Trial Registry (registration number: ChiCTR-COC-17013559). Plasma genomic DNA was extracted from all participants and analyzed for rs1801282 and rs3856806 single nucleotide polymorphisms using a SNaPshot Multiplex sequencing assay. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression to estimate the association between ischemic stroke and a particular genotype. Results demonstrated that the G allele frequency of the PPARG gene rs1801282 locus was significantly higher in the case group than in the control group (P < 0.001). Individuals carrying the G allele had a 1.844 fold increased risk of ischemic stroke (OR = 1.844, 95% CI: 1.286-2.645, P < 0.001). Individuals carrying the rs3856806 T allele had a 1.366 fold increased risk of ischemic stroke (OR = 1.366, 95% CI: 1.077-1.733, P = 0.010). The distribution frequencies of the PPARG gene haplotypes rs1801282-rs3856806 in the control and case groups were determined. The frequency of distribution in the G-T haplotype case group was significantly higher than that in the control group. The risk of ischemic stroke increased to 2.953 times in individuals carrying the G-T haplotype (OR = 2.953, 95% CI: 2.082-4.190, P < 0.001). The rs1801282 G allele and rs3856806 T allele had a multiplicative interaction (OR = 3.404, 95% CI: 1.631-7.102, P < 0.001) and additive interaction (RERI = 41.705, 95% CI: 14.586-68.824, AP = 0.860; 95% CI: 0.779-0.940; S = 8.170, 95% CI: 3.772-17.697) on ischemic stroke risk, showing a synergistic effect. Of all ischemic stroke cases, 86% were attributed to the interaction of the G allele of rs1801282 and the T allele of rs3856806. The effect of the PPARG rs1801282 G allele on ischemic stroke risk was enhanced in the presence of the rs3856806 T allele (OR = 8.001 vs. 1.844). The effect of the rs3856806 T allele on ischemic stroke risk was also enhanced in the presence of the rs1801282 G allele (OR = 2.546 vs. 1.366). Our results confirmed that the G allele of the PPARG gene rs1801282 locus and the T allele of the rs3856806 locus may be independent risk factors for ischemic stroke in the Han population of northern China, with a synergistic effect between the two alleles.
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Affiliation(s)
- Yan-Zhe Wang
- Department of Neurology, the First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - He-Yu Zhang
- Department of Neurology, the First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Fang Liu
- Department of Neurology, the First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Lei Li
- Department of Neurology, the First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Shu-Min Deng
- Department of Neurology, the First Hospital of China Medical University, Shenyang, Liaoning Province, China
| | - Zhi-Yi He
- Department of Neurology, the First Hospital of China Medical University, Shenyang, Liaoning Province, China
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Guo X, Liu J, You L, Li G, Huang Y, Li Y. Association between adiponectin polymorphisms and the risk of colorectal cancer. Genet Test Mol Biomarkers 2015; 19:9-13. [PMID: 25489716 DOI: 10.1089/gtmb.2014.0238] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
PURPOSE To discuss the association between adiponectin (ADIPOQ) gene rs2241766 and rs1501299 polymorphisms and the risk of colorectal cancer, and to analyze the role of the interaction between these two loci and environmental factors in colorectal cancer pathogenesis. METHODS The case-control study was performed with a 1:1 match. A self-designed questionnaire was used to perform a face-to-face survey with 600 new primary colorectal cancer cases confirmed by histopathology as well as 600 cases of people receiving a physical examination at the same time. The general information, lifestyle, and diet habits, etc. were collected from two groups of study subjects. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to identify ADIPOQ rs2241766 and rs1501299 genotypes. RESULTS After adjusting for factors such as colorectal cancer family history, body-mass index (BMI), daily sedentary time, weekly red meat intake frequency, as well regular tea drinking, conditional logistic regression analysis indicated that rs2241766 TG+GG carriers had a higher risk of colorectal cancer than TT carriers (OR=1.433, 95% CI: 1.014-1.985); rs1501299 GT+TT carriers had a lower risk of colorectal cancer than GG carriers (OR=0.723, 95% CI: 0.531-0.902). Generalized multifactor dimensionality reduction analysis showed that ADIPOQ rs2241766 and rs1501299 could have interaction with red meat intake (p=0.001). CONCLUSION ADIPOQ rs2241766 and rs1501299 single nucleotide polymorphisms (SNPs) could be associated with colorectal pathogenesis and could have interactions with red meat intake. Both factors impact colorectal cancer occurrence.
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Affiliation(s)
- Xin Guo
- 1 Department of General Surgery, The First Affiliated Hospital of Harbin Medical University , Harbin, China
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Adiponectin gene polymorphism rs2241766 T/G is associated with response to pioglitazone treatment in type 2 diabetic patients from southern China. PLoS One 2014; 9:e112480. [PMID: 25405601 PMCID: PMC4236071 DOI: 10.1371/journal.pone.0112480] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Accepted: 10/03/2014] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Insulin sensitizing drugs such as pioglitazone are not uniformly treatment effective among individual type 2 diabetic patients. Here, the relationship of pioglitazone efficacy to single nucleotide polymorphisms (SNP) of the adiponectin gene, a critical gene directly regulated by the drug, was examined in a cohort of Chinese Han type 2 diabetic patients. METHODS Eighty type 2 diabetic patients were treated with pioglitazone (15 mg/day) for 12 weeks without interruption of their current therapeutic regimen. Fasting plasma glucose, fasting insulin, homeostasis model assessment for insulin resistance (HOMA-IR), and glycated hemoglobin (HbA1c%) were collected both prior to and following pioglitazone treatment. Response to pioglitazone was defined as a decrease of at least 15% in HbA1c% levels. Three regions of the adiponectin gene containing SNPs (promoter, intron 2 and exon 2, and exon 3) were amplified and sequenced to determine genotype. RESULTS Serum adiponectin levels were significantly increased (p<0.001) whereas fasting plasma glucose, fasting insulin, HOMA-IR, and HbA1c% values were significantly decreased relative to baseline measurements (p<0.001). Response of patients with TG and TT genotypes at rs2241766 (exon2; 52.9% vs. 12.7%, respectively p = 0.001) was statistically significant relative to all other patients. Amongst rs2241766 TG and TT patients, the mean decrease in HbA1c% levels was greater where the genotype was TG (1.15±0.80 vs. 0.52±0.64, p = 0.001). CONCLUSIONS The adiponectin gene polymorphism rs2241766 T/G is associated with pioglitazone efficacy in type 2 diabetic patients, and status of the polymorphism may be an important clinical factor to consider prior to pioglitazone treatment.
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Tu Y, Yu Q, Fan G, Yang P, Lai Q, Yang F, Zhang S, Wang W, Wang D, Yu X, Wang CY. Assessment of type 2 diabetes risk conferred by SNPs rs2241766 and rs1501299 in the ADIPOQ gene, a case/control study combined with meta-analyses. Mol Cell Endocrinol 2014; 396:1-9. [PMID: 25135112 DOI: 10.1016/j.mce.2014.08.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Revised: 07/16/2014] [Accepted: 08/11/2014] [Indexed: 02/08/2023]
Abstract
We conducted a case/control study to assess the impact of two SNPs, rs2241766 and rs1501299 within the ADIPOQ gene, on type 2 diabetes (T2D) susceptibility in a Chinese Han dataset (741 cases and 902 controls). SNP rs2241766 was found significantly associated with T2D risk in the additive model, dominant model and recessive model. A marginal association was detected for SNP rs1501299 in the additive model and recessive model after Bonferroni correction, and haplotype analysis provided additional evidence supporting the association between these two SNPs and T2D risk. A meta-analysis including 29 published datasets along with current dataset was next carried out to further confirm the association. In consistent with our case/control results, rs2241766 showed a significant association with T2D in the dominant model and additive model, and the association between rs1501299 and T2D was also characterized in the homozygote model, dominant model, recessive model, and additive model. Of note, the association became much stronger in East Asians after exclusion of ethnic stratification. Together, our data support that the rs2241766 and rs1501299 polymorphisms within the ADIPOQ gene confer genetic susceptibility for type 2 diabetes, especially in the Chinese Han population.
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Affiliation(s)
- Yaqin Tu
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China; Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qilin Yu
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Guorun Fan
- Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Yang
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Qiaohong Lai
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Fei Yang
- College of Medicine, Changjiang University, 55 Jianghan Road, Jingzhou, Hubei 434023, China
| | - Shu Zhang
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Wang
- Department of Neurology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Daowen Wang
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China; Department of Endocrinology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Yu
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China; Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Cong-Yi Wang
- The Center for Biomedical Research, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China; College of Medicine, Changjiang University, 55 Jianghan Road, Jingzhou, Hubei 434023, China.
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