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Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis
Due to the central role in insulin secretion, the potassium inwardly-rectifying channel subfamily J member 11 (KCNJ11) gene is one of the essential genes for type 2 diabetes (T2D) predisposition. However, the relevance of this gene to T2D development is not consistent among diverse populations. In t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715540/ https://www.ncbi.nlm.nih.gov/pubmed/36456687 http://dx.doi.org/10.1038/s41598-022-24931-x |
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author | Moazzam-Jazi, Maryam Najd-Hassan-Bonab, Leila Masjoudi, Sajedeh Tohidi, Maryam Hedayati, Mehdi Azizi, Fereidoun Daneshpour, Maryam S. |
author_facet | Moazzam-Jazi, Maryam Najd-Hassan-Bonab, Leila Masjoudi, Sajedeh Tohidi, Maryam Hedayati, Mehdi Azizi, Fereidoun Daneshpour, Maryam S. |
author_sort | Moazzam-Jazi, Maryam |
collection | PubMed |
description | Due to the central role in insulin secretion, the potassium inwardly-rectifying channel subfamily J member 11 (KCNJ11) gene is one of the essential genes for type 2 diabetes (T2D) predisposition. However, the relevance of this gene to T2D development is not consistent among diverse populations. In the current study, we aim to capture the possible association of common KCNJ11 variants across Iranian adults, followed by a meta-analysis. We found that the tested variants of KCNJ11 have not contributed to T2D incidence in Iranian adults, consistent with similar insulin secretion levels among individuals with different genotypes. The integration of our results with 72 eligible published case–control studies (41,372 cases and 47,570 controls) as a meta-analysis demonstrated rs5219 and rs5215 are significantly associated with the increased T2D susceptibility under different genetic models. Nevertheless, the stratified analysis according to ethnicity showed rs5219 is involved in the T2D risk among disparate populations, including American, East Asian, European, and Greater Middle Eastern, but not South Asian. Additionally, the meta-regression analysis demonstrated that the sample size of both case and control groups was significantly associated with the magnitude of pooled genetic effect size. The present study can expand our knowledge about the KCNJ11 common variant's contributions to T2D incidence, which is valuable for designing SNP-based panels for potential clinical applications in precision medicine. It also highlights the importance of similar sample sizes for avoiding high heterogeneity and conducting a more precise meta-analysis. |
format | Online Article Text |
id | pubmed-9715540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97155402022-12-03 Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis Moazzam-Jazi, Maryam Najd-Hassan-Bonab, Leila Masjoudi, Sajedeh Tohidi, Maryam Hedayati, Mehdi Azizi, Fereidoun Daneshpour, Maryam S. Sci Rep Article Due to the central role in insulin secretion, the potassium inwardly-rectifying channel subfamily J member 11 (KCNJ11) gene is one of the essential genes for type 2 diabetes (T2D) predisposition. However, the relevance of this gene to T2D development is not consistent among diverse populations. In the current study, we aim to capture the possible association of common KCNJ11 variants across Iranian adults, followed by a meta-analysis. We found that the tested variants of KCNJ11 have not contributed to T2D incidence in Iranian adults, consistent with similar insulin secretion levels among individuals with different genotypes. The integration of our results with 72 eligible published case–control studies (41,372 cases and 47,570 controls) as a meta-analysis demonstrated rs5219 and rs5215 are significantly associated with the increased T2D susceptibility under different genetic models. Nevertheless, the stratified analysis according to ethnicity showed rs5219 is involved in the T2D risk among disparate populations, including American, East Asian, European, and Greater Middle Eastern, but not South Asian. Additionally, the meta-regression analysis demonstrated that the sample size of both case and control groups was significantly associated with the magnitude of pooled genetic effect size. The present study can expand our knowledge about the KCNJ11 common variant's contributions to T2D incidence, which is valuable for designing SNP-based panels for potential clinical applications in precision medicine. It also highlights the importance of similar sample sizes for avoiding high heterogeneity and conducting a more precise meta-analysis. Nature Publishing Group UK 2022-12-01 /pmc/articles/PMC9715540/ /pubmed/36456687 http://dx.doi.org/10.1038/s41598-022-24931-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Moazzam-Jazi, Maryam Najd-Hassan-Bonab, Leila Masjoudi, Sajedeh Tohidi, Maryam Hedayati, Mehdi Azizi, Fereidoun Daneshpour, Maryam S. Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis |
title | Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis |
title_full | Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis |
title_fullStr | Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis |
title_full_unstemmed | Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis |
title_short | Risk of type 2 diabetes and KCNJ11 gene polymorphisms: a nested case–control study and meta-analysis |
title_sort | risk of type 2 diabetes and kcnj11 gene polymorphisms: a nested case–control study and meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715540/ https://www.ncbi.nlm.nih.gov/pubmed/36456687 http://dx.doi.org/10.1038/s41598-022-24931-x |
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