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Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population by Cui, Jiaqi (author);Tong, Rui (author);Xu, Jing (author);Tian, Yanni (author);Pan, Juan (author);Wang, Ning (author);Chen, Huan (author);Peng, Yanqi (author);Fei, Sijia (author);Ling, Wang (author);Guo, Chaoying (author);Yao, Juanchuan (author);Cui, Wei (author) is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population about?

## Background Evidence from genetic epidemiology indicates that type 2 diabetes (T2D) has a strong genetic basis. Activated __STAT4__ has an inflammatory effect, and STAT4 is an important mediator of inflammation in diabetes. Our study aimed to study the association between STAT4 single nucleotide polymorphisms (SNPs) and T2D susceptibility in Chinese Han population. ## Methods We conducted a 'case–control' study among 500 T2D patients and 501 healthy individuals. 5 candidate __STAT4__ SNPs were successfully genotyped. The association between SNPs and T2D susceptibility under different genetic models was evaluated by logistic regression analysis. ‘SNP-SNP’ interaction was analyzed and completed by multi-factor dimensionality reduction (MDR). Finally, we evaluated the differences of clinical characteristics under different genotypes by one-factor analysis of variance. ## Results The overall results showed that __STAT4__ rs3821236 was associated with increasing T2D risk under allele (OR 1.23, __p__ = 0.020), homozygous (OR 1.51, __p__ = 0.025), dominant (OR 1.36, __p__ = 0.029), and additive models (OR 1.23, __p__ = 0.020). The results of stratified analysis showed that rs3821236, rs

Who reads Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Cui, Jiaqi (author);Tong, Rui (author);Xu, Jing (author);Tian, Yanni (author);Pan, Juan (author);Wang, Ning (author);Chen, Huan (author);Peng, Yanqi (author);Fei, Sijia (author);Ling, Wang (author);Guo, Chaoying (author);Yao, Juanchuan (author);Cui, Wei (author)
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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