Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783714741508636672 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8237503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT cuijiaqi associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT tongrui associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT xujing associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT tianyanni associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT panjuan associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT wangning associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT chenhuan associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT pengyanqi associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT feisijia associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT lingwang associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT guochaoying associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT yaojuanchuan associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation AT cuiwei associationbetweenstat4genepolymorphismandtype2diabetesriskinchinesehanpopulation |