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Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population

BACKGROUND: PCSK9 gene expression is associated with biological processes such as lipid metabolism, glucose metabolism, and inflammation. In the present study, our primary objective was to assess the association between the single-nucleotide polymorphisms in the PCSK9 gene and type 2 diabetes in Uyg...

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Autores principales: Wang, Meng-Meng, Lu, Chen-Fei, Yan, Shi-qi, Wang, Bao-Zhu, Yesitayi, Gulinazi, Tian, Yong-Liang, Xiang-Ma, Ma, Yi-Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219175/
https://www.ncbi.nlm.nih.gov/pubmed/35733117
http://dx.doi.org/10.1186/s12872-022-02710-w
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author Wang, Meng-Meng
Lu, Chen-Fei
Yan, Shi-qi
Wang, Bao-Zhu
Yesitayi, Gulinazi
Tian, Yong-Liang
Xiang-Ma
Ma, Yi-Tong
author_facet Wang, Meng-Meng
Lu, Chen-Fei
Yan, Shi-qi
Wang, Bao-Zhu
Yesitayi, Gulinazi
Tian, Yong-Liang
Xiang-Ma
Ma, Yi-Tong
author_sort Wang, Meng-Meng
collection PubMed
description BACKGROUND: PCSK9 gene expression is associated with biological processes such as lipid metabolism, glucose metabolism, and inflammation. In the present study, our primary objective was to assess the association between the single-nucleotide polymorphisms in the PCSK9 gene and type 2 diabetes in Uygur subjects, in Xinjiang, China. METHODS: We designed a case–control study including 662 patients diagnosed with T2DM and 1220 control subjects. Four single-nucleotide polymorphisms (rs11583680, rs2483205, rs2495477 and rs562556) of PCSK9 gene were genotyped using the improved multiplex ligation detection reaction technique. RESULTS: For rs2483205, the distribution of genotypes, dominant model (CC vs CT + TT), overdominant model (CC + TT vs CT) showed significant differences between T2DM patients and the controls (P = 0.011 and P = 0.041 respectively). For rs2495477, the distribution of genotypes, the dominant model (AA vs GA + GG) showed significant differences between T2DM patients and the controls (P = 0.024). Logistic regression analysis suggested after adjustment of other confounders, the differences remained significant between the two groups [for rs2483205 CC vs CT + TT: odds ratio (OR) = 1.321, 95% confidence interval (CI) 1.078–1.617, P = 0.007; CC + TT vs CT: OR = 1.255, 95% CI 1.021–1.542, P = 0.03; for rs2495477 AA vs GA + GG: OR = 1.297, 95% CI 1.060–1.588, P = 0.012]. CONCLUSION: The present study indicated that CT + TT genotype and CT genotype of rs2483205, as well as GA + GG genotype of rs2495477 in PCSK9 gene were associated with an increased risk of type 2 diabetes in the Uygur population in Xinjiang. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02710-w.
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spelling pubmed-92191752022-06-24 Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population Wang, Meng-Meng Lu, Chen-Fei Yan, Shi-qi Wang, Bao-Zhu Yesitayi, Gulinazi Tian, Yong-Liang Xiang-Ma Ma, Yi-Tong BMC Cardiovasc Disord Research BACKGROUND: PCSK9 gene expression is associated with biological processes such as lipid metabolism, glucose metabolism, and inflammation. In the present study, our primary objective was to assess the association between the single-nucleotide polymorphisms in the PCSK9 gene and type 2 diabetes in Uygur subjects, in Xinjiang, China. METHODS: We designed a case–control study including 662 patients diagnosed with T2DM and 1220 control subjects. Four single-nucleotide polymorphisms (rs11583680, rs2483205, rs2495477 and rs562556) of PCSK9 gene were genotyped using the improved multiplex ligation detection reaction technique. RESULTS: For rs2483205, the distribution of genotypes, dominant model (CC vs CT + TT), overdominant model (CC + TT vs CT) showed significant differences between T2DM patients and the controls (P = 0.011 and P = 0.041 respectively). For rs2495477, the distribution of genotypes, the dominant model (AA vs GA + GG) showed significant differences between T2DM patients and the controls (P = 0.024). Logistic regression analysis suggested after adjustment of other confounders, the differences remained significant between the two groups [for rs2483205 CC vs CT + TT: odds ratio (OR) = 1.321, 95% confidence interval (CI) 1.078–1.617, P = 0.007; CC + TT vs CT: OR = 1.255, 95% CI 1.021–1.542, P = 0.03; for rs2495477 AA vs GA + GG: OR = 1.297, 95% CI 1.060–1.588, P = 0.012]. CONCLUSION: The present study indicated that CT + TT genotype and CT genotype of rs2483205, as well as GA + GG genotype of rs2495477 in PCSK9 gene were associated with an increased risk of type 2 diabetes in the Uygur population in Xinjiang. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02710-w. BioMed Central 2022-06-22 /pmc/articles/PMC9219175/ /pubmed/35733117 http://dx.doi.org/10.1186/s12872-022-02710-w Text en © The Author(s) 2022 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
Wang, Meng-Meng
Lu, Chen-Fei
Yan, Shi-qi
Wang, Bao-Zhu
Yesitayi, Gulinazi
Tian, Yong-Liang
Xiang-Ma
Ma, Yi-Tong
Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population
title Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population
title_full Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population
title_fullStr Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population
title_full_unstemmed Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population
title_short Association of genetic polymorphisms of PCSK9 with type 2 diabetes in Uygur Chinese population
title_sort association of genetic polymorphisms of pcsk9 with type 2 diabetes in uygur chinese population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219175/
https://www.ncbi.nlm.nih.gov/pubmed/35733117
http://dx.doi.org/10.1186/s12872-022-02710-w
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