Literature DB >> 23298195

Association study of genetic variants of 17 diabetes-related genes/loci and cardiovascular risk and diabetic nephropathy in the Chinese She population.

Gang Chen1, Yuan Xu, Yinghua Lin, Xiaolan Lai, Jin Yao, Baoying Huang, Zichun Chen, Huibin Huang, Xianguo Fu, Lixiang Lin, Shenghan Lai, Junping Wen.   

Abstract

BACKGROUND: Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes-related genes/loci, T2DM and diabetic complications in Chinese She subjects.
METHODS: A comprehensive gene-based association study was conducted using 17 single nucleotide polymorphisms in Chinese She subjects with normal glucose tolerance (n = 1119), impaired glucose regulation (n = 1767), and T2DM (n = 443). We applied major abnormal Minnesota Code findings to predict cardiovascular risk and estimated glomerular filtration rate to assess kidney function.
RESULTS: Nine variants in FTO rs8050136, WFS1 rs10010131, CDKN2A/B rs10811661, KCNJ11 rs5219, CDC123/CAMK1D rs12779790, JAZF1 rs864745, SLC30A8 rs13266634, CDKAL1 rs10946398, and HHEX/IDE rs5015480 were significantly associated with T2DM (P < 0.05). Single nucleotide polymorphisms in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMK1D rs12779790, JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were associated with T2DM and impaired glucose regulation. Risk alleles in WFS1 rs10010131, IGF2BP2 rs4402960, CDKAL1 rs10946398, FTO rs8050136, KCNQ1 rs2237897, and ADAMTS9 rs4607103 were significantly associated with decreased homeostatic model assessment (HOMA)-β (P < 0.05). After adjusting for age, gender and body mass index, genetic variants JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were significantly related to reduced estimated glomerular filtration rate (P < 0.05). Genetic variants in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMID rs12779790, JAZF1 rs864745, FTO rs80501360, CDKAL1 rs10946398, and HHEX/IDE rs5015480 correlated with abnormal major Minnesota Code findings (P < 0.05).
CONCLUSION: Variants in WFS1, CDKN2A/B, KCNJ11, CDC123/CAMK1D, JAZF1, SLC30A8, FTO, CDKAL1, and HHEX/IDE genes are significantly associated with T2DM in She Chinese subjects. JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with diabetic nephropathy. WFS1, CDKN2A/B, CDC123/CAMK1D, JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with cardiovascular risk.
© 2013 Wiley Publishing Asia Pty Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine.

Entities:  

Mesh:

Year:  2013        PMID: 23298195     DOI: 10.1111/1753-0407.12025

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  22 in total

1.  The association analysis polymorphism of CDKAL1 and diabetic retinopathy in Chinese Han population.

Authors:  Nai-Jia Liu; Qian Xiong; Hui-Hui Wu; Yan-Liang Li; Zhen Yang; Xiao-Ming Tao; Yan-Ping Du; Bin Lu; Ren-Ming Hu; Xuan-Chun Wang; Jie Wen
Journal:  Int J Ophthalmol       Date:  2016-05-18       Impact factor: 1.779

2.  Tumor necrosis factor α-induced protein-3 protects zinc transporter 8 against proinflammatory cytokine-induced downregulation.

Authors:  Liqing Cheng; Dongmei Zhang; Bing Chen
Journal:  Exp Ther Med       Date:  2016-06-15       Impact factor: 2.447

Review 3.  Involvement of Cdkal1 in the etiology of type 2 diabetes mellitus and microvascular diabetic complications: a review.

Authors:  Chandrachur Ghosh; Neeladrisingha Das; Sarama Saha; Tathagata Kundu; Debabrata Sircar; Partha Roy
Journal:  J Diabetes Metab Disord       Date:  2022-01-13

4.  Association of SLC30A8 gene polymorphism with type 2 diabetes, evidence from 46 studies: a meta-analysis.

Authors:  Mengdi Fan; Weimin Li; Lian Wang; Suping Gu; Sisi Dong; Mengdie Chen; Haimin Yin; Jinjue Zheng; Xiaoying Wu; Jian Jin; Xuchao Jiang; Jiao Cai; Peining Liu; Chao Zheng
Journal:  Endocrine       Date:  2016-02-01       Impact factor: 3.633

5.  Alteration of N6-Methyladenosine RNA Profiles in Cisplatin-Induced Acute Kidney Injury in Mice.

Authors:  Can-Ming Li; Ming Li; Wen-Bo Zhao; Zeng-Chun Ye; Hui Peng
Journal:  Front Mol Biosci       Date:  2021-07-09

6.  Genome-wide association analysis identifies three new risk loci for gout arthritis in Han Chinese.

Authors:  Changgui Li; Zhiqiang Li; Shiguo Liu; Can Wang; Lin Han; Lingling Cui; Jingguo Zhou; Hejian Zou; Zhen Liu; Jianhua Chen; Xiaoyu Cheng; Zhaowei Zhou; Chengcheng Ding; Meng Wang; Tong Chen; Ying Cui; Hongmei He; Keke Zhang; Congcong Yin; Yunlong Wang; Shichao Xing; Baojie Li; Jue Ji; Zhaotong Jia; Lidan Ma; Jiapeng Niu; Ying Xin; Tian Liu; Nan Chu; Qing Yu; Wei Ren; Xuefeng Wang; Aiqing Zhang; Yuping Sun; Haili Wang; Jie Lu; Yuanyuan Li; Yufeng Qing; Gang Chen; Yangang Wang; Li Zhou; Haitao Niu; Jun Liang; Qian Dong; Xinde Li; Qing-Sheng Mi; Yongyong Shi
Journal:  Nat Commun       Date:  2015-05-13       Impact factor: 14.919

Review 7.  Role of Ink4a/Arf locus in beta cell mass expansion under physiological and pathological conditions.

Authors:  Elisabet Salas; Nabil Rabhi; Philippe Froguel; Jean-Sébastien Annicotte
Journal:  J Diabetes Res       Date:  2014-02-06       Impact factor: 4.011

Review 8.  KCNJ11: Genetic Polymorphisms and Risk of Diabetes Mellitus.

Authors:  Polin Haghvirdizadeh; Zahurin Mohamed; Nor Azizan Abdullah; Pantea Haghvirdizadeh; Monir Sadat Haerian; Batoul Sadat Haerian
Journal:  J Diabetes Res       Date:  2015-09-13       Impact factor: 4.011

9.  Association between SLC30A8 rs13266634 Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis.

Authors:  Liqing Cheng; Dongmei Zhang; Lina Zhou; Jie Zhao; Bing Chen
Journal:  Med Sci Monit       Date:  2015-07-27

10.  Validation of type 2 diabetes risk variants identified by genome-wide association studies in Han Chinese population: a replication study and meta-analysis.

Authors:  Yi-Cheng Chang; Pi-Hua Liu; Yu-Hsiang Yu; Shan-Shan Kuo; Tien-Jyun Chang; Yi-Der Jiang; Jiun-Yi Nong; Juey-Jen Hwang; Lee-Ming Chuang
Journal:  PLoS One       Date:  2014-04-15       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.