Literature DB >> 31938912

rs11927381 Polymorphism and Type 2 Diabetes Mellitus: Contribution of Smoking to the Realization of Susceptibility to the Disease.

I E Azarova1, E Yu Klyosova2, V A Lazarenko2, A I Konoplya2, A V Polonikov2.   

Abstract

In the study that included 579 patients with type 2 diabetes mellitus and 542 healthy individuals from Slavonic population, an association was found between IGF2BP2 gene rs11927381 polymorphism and increased risk of developing the disease. However, this association was observed for smoking patients and was not detected for non-smokers. Bioinformatics analysis showed that the spectrum of transcription factors binding with high-risk C allele differ from the spectrum of transcription factors specifically binding with the reference T allele; these factors are involved in the regulation of the biosynthesis of ketone bodies and cellular response to glucocorticoid hormones. The results suggest that smoking plays a trigger role in the relationship of the polymorphic variant rs11927381 of the IGF2BP2 gene with the development of type 2 diabetes mellitus.

Entities:  

Keywords:  IGF2BP2; single nucleotide polymorphism; smoking; transcription factors; type 2 diabetes

Year:  2020        PMID: 31938912     DOI: 10.1007/s10517-020-04698-9

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN: 0007-4888            Impact factor:   0.804


  3 in total

Review 1.  The role of insulin-like growth factor 2 mRNA binding proteins in female reproductive pathophysiology.

Authors:  Xiao Xu; Hao-Ran Shen; Jia-Rong Zhang; Xue-Lian Li
Journal:  Reprod Biol Endocrinol       Date:  2022-06-15       Impact factor: 4.982

2.  Influence of IGF2BP2, HMG20A, and HNF1B genetic polymorphisms on the susceptibility to Type 2 diabetes mellitus in Chinese Han population.

Authors:  Ting Huang; Li Wang; Mei Bai; Jianwen Zheng; Dongya Yuan; Yongjun He; Yuhe Wang; Tianbo Jin; Wei Cui
Journal:  Biosci Rep       Date:  2020-05-29       Impact factor: 3.840

3.  Comprehensive Statistical and Bioinformatics Analysis in the Deciphering of Putative Mechanisms by Which Lipid-Associated GWAS Loci Contribute to Coronary Artery Disease.

Authors:  Victor Lazarenko; Mikhail Churilin; Iuliia Azarova; Elena Klyosova; Marina Bykanova; Natalia Ob'edkova; Mikhail Churnosov; Olga Bushueva; Galina Mal; Sergey Povetkin; Stanislav Kononov; Yulia Luneva; Sergey Zhabin; Anna Polonikova; Alina Gavrilenko; Igor Saraev; Maria Solodilova; Alexey Polonikov
Journal:  Biomedicines       Date:  2022-01-25
  3 in total

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