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

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 polymor...

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Autores principales: Cui, Jiaqi, Tong, Rui, Xu, Jing, Tian, Yanni, Pan, Juan, Wang, Ning, Chen, Huan, Peng, Yanqi, Fei, Sijia, Ling, Wang, Guo, Chaoying, Yao, Juanchuan, Cui, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237503/
https://www.ncbi.nlm.nih.gov/pubmed/34176465
http://dx.doi.org/10.1186/s12920-021-01000-2
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author Cui, Jiaqi
Tong, Rui
Xu, Jing
Tian, Yanni
Pan, Juan
Wang, Ning
Chen, Huan
Peng, Yanqi
Fei, Sijia
Ling, Wang
Guo, Chaoying
Yao, Juanchuan
Cui, Wei
author_facet Cui, Jiaqi
Tong, Rui
Xu, Jing
Tian, Yanni
Pan, Juan
Wang, Ning
Chen, Huan
Peng, Yanqi
Fei, Sijia
Ling, Wang
Guo, Chaoying
Yao, Juanchuan
Cui, Wei
author_sort Cui, Jiaqi
collection PubMed
description 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, rs11893432, and rs11889341 were risk factors for T2D among participants ≤ 60 years old. Only rs11893432 was associated with increased T2D risk among female participants. There was also a potential association between rs3821236 and T2D with nephropathy risk. STAT4 rs11893432, rs7574865 and rs897200 were significantly associated with lysophosphatidic acid, cystatin C and thyroxine t4, respectively. CONCLUSION: The genetic polymorphisms of STAT4 is potentially associated with T2D susceptibility of Chinese population. In particular, rs3821236 is significantly associated with T2D risk both in the overall and several subgroup analyses. Our study may provide new ideas for T2D individualized diagnosis/protection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01000-2.
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spelling pubmed-82375032021-06-29 Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population Cui, Jiaqi Tong, Rui Xu, Jing Tian, Yanni Pan, Juan Wang, Ning Chen, Huan Peng, Yanqi Fei, Sijia Ling, Wang Guo, Chaoying Yao, Juanchuan Cui, Wei BMC Med Genomics Research Article 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, rs11893432, and rs11889341 were risk factors for T2D among participants ≤ 60 years old. Only rs11893432 was associated with increased T2D risk among female participants. There was also a potential association between rs3821236 and T2D with nephropathy risk. STAT4 rs11893432, rs7574865 and rs897200 were significantly associated with lysophosphatidic acid, cystatin C and thyroxine t4, respectively. CONCLUSION: The genetic polymorphisms of STAT4 is potentially associated with T2D susceptibility of Chinese population. In particular, rs3821236 is significantly associated with T2D risk both in the overall and several subgroup analyses. Our study may provide new ideas for T2D individualized diagnosis/protection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-021-01000-2. BioMed Central 2021-06-27 /pmc/articles/PMC8237503/ /pubmed/34176465 http://dx.doi.org/10.1186/s12920-021-01000-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Cui, Jiaqi
Tong, Rui
Xu, Jing
Tian, Yanni
Pan, Juan
Wang, Ning
Chen, Huan
Peng, Yanqi
Fei, Sijia
Ling, Wang
Guo, Chaoying
Yao, Juanchuan
Cui, Wei
Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population
title Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population
title_full Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population
title_fullStr Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population
title_full_unstemmed Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population
title_short Association between STAT4 gene polymorphism and type 2 diabetes risk in Chinese Han population
title_sort association between stat4 gene polymorphism and type 2 diabetes risk in chinese han population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237503/
https://www.ncbi.nlm.nih.gov/pubmed/34176465
http://dx.doi.org/10.1186/s12920-021-01000-2
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