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Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms

AIMS: The goal of our study is to investigate the combined contribution of 10 genetic variants to diabetes susceptibility. METHODS: Bibliographic databases were searched from 1970 to Dec 2012 for studies that reported on genetic association study of diabetes. After a comprehensive filtering procedur...

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Detalles Bibliográficos
Autores principales: Tang, Linlin, Wang, Lingyan, Liao, Qi, Wang, Qinwen, Xu, Leiting, Bu, Shizhong, Huang, Yi, Zhang, Cheng, Ye, Huadan, Xu, Xuting, Liu, Qiong, Ye, Meng, Mai, Yifeng, Duan, Shiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726433/
https://www.ncbi.nlm.nih.gov/pubmed/23922971
http://dx.doi.org/10.1371/journal.pone.0070301
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author Tang, Linlin
Wang, Lingyan
Liao, Qi
Wang, Qinwen
Xu, Leiting
Bu, Shizhong
Huang, Yi
Zhang, Cheng
Ye, Huadan
Xu, Xuting
Liu, Qiong
Ye, Meng
Mai, Yifeng
Duan, Shiwei
author_facet Tang, Linlin
Wang, Lingyan
Liao, Qi
Wang, Qinwen
Xu, Leiting
Bu, Shizhong
Huang, Yi
Zhang, Cheng
Ye, Huadan
Xu, Xuting
Liu, Qiong
Ye, Meng
Mai, Yifeng
Duan, Shiwei
author_sort Tang, Linlin
collection PubMed
description AIMS: The goal of our study is to investigate the combined contribution of 10 genetic variants to diabetes susceptibility. METHODS: Bibliographic databases were searched from 1970 to Dec 2012 for studies that reported on genetic association study of diabetes. After a comprehensive filtering procedure, 10 candidate gene variants with informative genotype information were collected for the current meta-anlayses. Using the REVMAN software, odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the combined contribution of the selected genetic variants to diabetes. RESULTS: A total of 37 articles among 37,033 cases and 54,716 controls were involved in the present meta-analyses of 10 genetic variants. Three variants were found to be significantly associated with type 1 diabetes (T1D): NLRP1 rs12150220 (OR = 0.71, 95% CI = 0.55–0.92, P = 0.01), IL2RA rs11594656 (OR = 0.86, 95% CI = 0.82–0.91, P<0.00001), and CLEC16A rs725613 (OR = 0.71, 95% CI = 0.55–0.92, P = 0.01). APOA5 −1131T/C polymorphism was shown to be significantly associated with of type 2 diabetes (T2D, OR = 1.27, 95% CI = 1.03–1.57, P = 0.03). No association with diabetes was showed in the meta-analyses of other six genetic variants, including SLC2A10 rs2335491, ATF6 rs2070150, KLF11 rs35927125, CASQ1 rs2275703, GNB3 C825T, and IL12B 1188A/C. CONCLUSION: Our results demonstrated that IL2RA rs11594656 and CLEC16A rs725613 are protective factors of T1D, while NLRP1 rs12150220 and APOA5 −1131T/C are risky factors of T1D and T2D, respectively.
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spelling pubmed-37264332013-08-06 Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms Tang, Linlin Wang, Lingyan Liao, Qi Wang, Qinwen Xu, Leiting Bu, Shizhong Huang, Yi Zhang, Cheng Ye, Huadan Xu, Xuting Liu, Qiong Ye, Meng Mai, Yifeng Duan, Shiwei PLoS One Research Article AIMS: The goal of our study is to investigate the combined contribution of 10 genetic variants to diabetes susceptibility. METHODS: Bibliographic databases were searched from 1970 to Dec 2012 for studies that reported on genetic association study of diabetes. After a comprehensive filtering procedure, 10 candidate gene variants with informative genotype information were collected for the current meta-anlayses. Using the REVMAN software, odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the combined contribution of the selected genetic variants to diabetes. RESULTS: A total of 37 articles among 37,033 cases and 54,716 controls were involved in the present meta-analyses of 10 genetic variants. Three variants were found to be significantly associated with type 1 diabetes (T1D): NLRP1 rs12150220 (OR = 0.71, 95% CI = 0.55–0.92, P = 0.01), IL2RA rs11594656 (OR = 0.86, 95% CI = 0.82–0.91, P<0.00001), and CLEC16A rs725613 (OR = 0.71, 95% CI = 0.55–0.92, P = 0.01). APOA5 −1131T/C polymorphism was shown to be significantly associated with of type 2 diabetes (T2D, OR = 1.27, 95% CI = 1.03–1.57, P = 0.03). No association with diabetes was showed in the meta-analyses of other six genetic variants, including SLC2A10 rs2335491, ATF6 rs2070150, KLF11 rs35927125, CASQ1 rs2275703, GNB3 C825T, and IL12B 1188A/C. CONCLUSION: Our results demonstrated that IL2RA rs11594656 and CLEC16A rs725613 are protective factors of T1D, while NLRP1 rs12150220 and APOA5 −1131T/C are risky factors of T1D and T2D, respectively. Public Library of Science 2013-07-29 /pmc/articles/PMC3726433/ /pubmed/23922971 http://dx.doi.org/10.1371/journal.pone.0070301 Text en © 2013 Tang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tang, Linlin
Wang, Lingyan
Liao, Qi
Wang, Qinwen
Xu, Leiting
Bu, Shizhong
Huang, Yi
Zhang, Cheng
Ye, Huadan
Xu, Xuting
Liu, Qiong
Ye, Meng
Mai, Yifeng
Duan, Shiwei
Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms
title Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms
title_full Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms
title_fullStr Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms
title_full_unstemmed Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms
title_short Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms
title_sort genetic associations with diabetes: meta-analyses of 10 candidate polymorphisms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726433/
https://www.ncbi.nlm.nih.gov/pubmed/23922971
http://dx.doi.org/10.1371/journal.pone.0070301
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