Genetic variants in potassium channels are associated with type 2 diabetes in a Mongolian population

被引:25
|
作者
Odgerel, Zagaa [1 ]
Lee, Hee S. [1 ]
Erdenebileg, Narnygerel [2 ]
Gandbold, Suren [3 ]
Luvsanjamba, Munkhjargal [4 ]
Sambuughin, Nyamkhishig [5 ]
Sonomtseren, Sainbileg [6 ]
Sharavdorj, Purevdulam [4 ]
Jodov, Erdenezul [6 ]
Altaisaikhan, Khasag [6 ]
Goldfarb, Lev G. [1 ]
机构
[1] NINDS, NIH, Bethesda, MD 20892 USA
[2] NIH, Infect Dis & Immunogenet Sect, Dept Transfus Med, Ctr Clin, Bethesda, MD 20892 USA
[3] Natl Inst Forens Sci, Ulaanbaatar, Mongolia
[4] Minist Hlth, Ulaanbaatar, Mongolia
[5] Uniformed Serv Univ Hlth Sci, Bethesda, MD 20814 USA
[6] Hlth Sci Univ Mongolia, Ulaanbaatar, Mongolia
基金
美国国家卫生研究院;
关键词
ABCC8; genetic association; KCNQ1; Mongolia; potassium channels; type; 2; diabetes; SUBUNITS KIR6.2 KCNJ11; SULFONYLUREA RECEPTOR; SUSCEPTIBILITY LOCI; KCNQ1; MUTATIONS; MELLITUS; ABCC8;
D O I
10.1111/j.1753-0407.2011.00177.x
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Recent genome-wide association studies (GWAS) have identified more than 40 common sequence variants associated with type 2 diabetes (T2D). However, the results are not always the same in populations with differing genetic backgrounds. In the present study, we evaluated a hypothesis that a North Asian population living in a geographic area with unusually harsh environmental conditions would develop unique genetic risks. Methods: A population-based association study was performed with 21 single-nucleotide polymorphisms (SNPs) in nine genes selected according to the results of GWAS conducted in other populations. The study participants included 393 full-heritage Mongolian individuals (177 diagnosed with T2D and 216 matched controls). Genotyping was performed by TaqMan methodology. Results: The strongest association was detected with SNPs located within the potassium channel-coding genes KCNQ1 (highest odds ratio [OR] = 1.92; P = 3.4 x 10-5) and ABCC8 (OR = 1.79; P = 5 x 10-4). Genetic variants identified as strongly influencing the risk of T2D in other populations (e.g. KCNJ11 or TCF7L2) did not show significant association in Mongolia. Conclusions: The strongest T2D risk-associated SNPs in Mongolians are located within two of three tested potassium channel-coding genes. Accumulated variations in these genes may be related to the exposure to harsh environmental conditions.
引用
收藏
页码:238 / 242
页数:5
相关论文
共 50 条
  • [41] Association of genetic variants of NOS1AP with type 2 diabetes in a Chinese population
    C. Hu
    C. Wang
    R. Zhang
    M. C. Ng
    Y. Bao
    C. Wang
    W. Y. So
    R. C. Ma
    X. Ma
    J. C. Chan
    K. Xiang
    W. Jia
    Diabetologia, 2010, 53 : 290 - 298
  • [42] Genetic Variants and Lipid Profile in an Italian Population at Risk of Type 2 Diabetes: The GENFIEV Study
    Pulizzi, Nicolo
    Miccoli, Roberto
    Bianchi, Cristina
    Bonadonna, Riccardo
    Giorgino, Francesco
    Giulio, Marchesini
    Cavalot, Franco
    Cavallo, Gisella
    Leonetti, Frida
    Giaccari, Andrea
    Crisci, Isabella
    Comassi, Mario
    Groop, Leif
    Del Prato, Stefano
    DIABETES, 2012, 61 : A673 - A673
  • [43] Association Between KCNQ1 Genetic Variants and Type 2 Diabetes in the Uyghur Population
    Ma, Qi
    Wang, Li
    Yao, Hua
    Wang, Ting-ting
    Ma, Yan
    Su, Yin-xia
    Wang, Zhi-qiang
    Zhu, Jun
    Wang, Shu-xia
    Zhang, Zhao-xia
    Hou, Qin-qin
    Cai, Ren
    Gong, Xue-li
    Jiang, Xiao-yan
    GENETIC TESTING AND MOLECULAR BIOMARKERS, 2015, 19 (12) : 698 - 702
  • [44] Genetic risk score combining six genetic variants associated with the cellular NRF2 expression levels correlates with Type 2 diabetes in the human population
    Jae Hun Shin
    Kyung-Mi Lee
    Jimin Shin
    Kui Dong Kang
    Chu Won Nho
    Yoon Shin Cho
    Genes & Genomics, 2019, 41 : 537 - 545
  • [45] Genetic risk score combining six genetic variants associated with the cellular NRF2 expression levels correlates with Type 2 diabetes in the human population
    Shin, Jae Hun
    Lee, Kyung-Mi
    Shin, Jimin
    Kang, Kui Dong
    Nho, Chu Won
    Cho, Yoon Shin
    GENES & GENOMICS, 2019, 41 (05) : 537 - 545
  • [46] Functional analysis of TCF7L2 genetic variants associated with type 2 diabetes
    Pang, D. X.
    Smith, A. J. P.
    Humphries, S. E.
    NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 2013, 23 (06) : 550 - 556
  • [47] Insulin resistance-associated genetic variants in type 1 diabetes
    Miller, Rachel G.
    McGurnaghan, Stuart J.
    Onengut-Gumuscu, Suna
    Chen, Wei-Min
    Colhoun, Helen M.
    Rich, Stephen S.
    Orchard, Trevor J.
    Costacou, Tina
    JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2021, 35 (04)
  • [48] Genetic Variants Associated With Diabetes Related Circulating Metabolite Levels and Their Role in Type 2 Diabetes and Insulin Sensitivity
    Xie, Weijia
    Wood, Andrew R.
    Lyssenko, Valeriya
    Weedon, Michael N.
    Knowles, Joshua W.
    Assimes, Themistocles L.
    Quertermous, Thomas
    Abbasi, Fahim
    Paananen, Jussi
    Haring, Hans
    Hansen, Torben
    Pedersen, Oluf
    Smith, Ulf
    Laakso, Markku
    Dekker, Jacqueline M.
    Nolan, John J.
    Groop, Leif
    Ferrannini, Ele
    Gall, Walter E.
    Adam, Klaus-Peter
    Frayling, Timothy M.
    Walker, Mark
    DIABETES, 2012, 61 : A397 - A397
  • [49] Genetic variants associated with type 2 diabetes and adiposity and risk of intracranial and abdominal aortic aneurysms
    Femke NG van 't Hof
    Julien Vaucher
    Michael V Holmes
    Arno de Wilde
    Annette F Baas
    Jan D Blankensteijn
    Albert Hofman
    Lambertus ALM Kiemeney
    Fernando Rivadeneira
    André G Uitterlinden
    Sita H Vermeulen
    Gabriël JE Rinkel
    Paul IW de Bakker
    Ynte M Ruigrok
    European Journal of Human Genetics, 2017, 25 : 758 - 762
  • [50] Genetic variants associated with type 2 diabetes and adiposity and risk of intracranial and abdominal aortic aneurysms
    van 't Hof, Femke N. G.
    Vaucher, Julien
    Holmes, Michael V.
    de Wilde, Arno
    Baas, Annette F.
    Blankensteijn, Jan D.
    Hofman, Albert
    Kiemeney, Lambertus A. L. M.
    Rivadeneira, Fernando
    Uitterlinden, Andre G.
    Vermeulen, Sita H.
    Rinkel, Gabriel J. E.
    de Bakker, Paul I. W.
    Ruigrok, Ynte M.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2017, 25 (06) : 758 - 762