Literature DB >> 17976307

KCNJ11 E23K polymorphism and diabetes mellitus with adult onset in Czech patients.

P Cejková1, P Novota, M Cerná, K Kolostová, D Nováková, P Kucera, J Novák, M Andel, P Weber, E Zdárský.   

Abstract

In this work, we studied the association of the E23K polymorphism of the Kir6.2 ATP-sensitive potassium channels in 212 Czech patients with diabetes mellitus who were diagnosed after the age of 35. Patients were classified into T1DM, LADA and T2DM groups based on C-peptide and GADA levels. Carriers of the predisposing Kir6.2 E23K K allele showed no increased risk of either type of diabetes mellitus development. On the other hand, we found a correlation between E23K SNP of the KCNJ11 gene and C-peptide levels, which may be considered a measure of pancreatic beta-cell activity, although this correlation was not statistically significant. In conclusion, we failed to confirm the Kir6.2 E23K as a genetic marker for T1DM, LADA and T2DM in the Central Bohemian population of the Czech Republic.

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Year:  2007        PMID: 17976307

Source DB:  PubMed          Journal:  Folia Biol (Praha)        ISSN: 0015-5500            Impact factor:   0.906


  4 in total

1.  The KCNJ11 E23K gene polymorphism and type 2 diabetes mellitus in the Chinese Han population: a meta-analysis of 6,109 subjects.

Authors:  Yan-Yan Li
Journal:  Mol Biol Rep       Date:  2012-10-11       Impact factor: 2.316

2.  Replication of KCNJ11 (p.E23K) and ABCC8 (p.S1369A) Association in Russian Diabetes Mellitus 2 Type Cohort and Meta-Analysis.

Authors:  Ekaterina Alekseevna Sokolova; Irina Arkadievna Bondar; Olesya Yurievna Shabelnikova; Olga Vladimirovna Pyankova; Maxim Leonidovich Filipenko
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

3.  Quantitative assessment of the effect of KCNJ11 gene polymorphism on the risk of type 2 diabetes.

Authors:  Ling Qiu; Risu Na; Rong Xu; Siyang Wang; Hongguang Sheng; Wanling Wu; Yi Qu
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

4.  FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease.

Authors:  Rong Chen; Alex A Morgan; Joel Dudley; Tarangini Deshpande; Li Li; Keiichi Kodama; Annie P Chiang; Atul J Butte
Journal:  Genome Biol       Date:  2008-12-05       Impact factor: 13.583

  4 in total

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