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Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis

BACKGROUND: GATA4 gene is a cardiac transcriptional factor playing important role in cardiac formation and development. Three GATA4 gene mutations, 99 G>T, 487 C>T, and 354 A>C, have been reported in congenital heart disease (CHD). Therefore, a meta-analysis was performed to explore the ass...

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Autores principales: Zhang, Yanwei, Ai, Feng, Zheng, Jiayong, Peng, Bangtian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419936/
https://www.ncbi.nlm.nih.gov/pubmed/28471988
http://dx.doi.org/10.1097/MD.0000000000006857
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author Zhang, Yanwei
Ai, Feng
Zheng, Jiayong
Peng, Bangtian
author_facet Zhang, Yanwei
Ai, Feng
Zheng, Jiayong
Peng, Bangtian
author_sort Zhang, Yanwei
collection PubMed
description BACKGROUND: GATA4 gene is a cardiac transcriptional factor playing important role in cardiac formation and development. Three GATA4 gene mutations, 99 G>T, 487 C>T, and 354 A>C, have been reported in congenital heart disease (CHD). Therefore, a meta-analysis was performed to explore the associations between 99 G>T, 487 C>T, or 354 A>C mutations and the risk of CHD. METHODS: We searched the relevant studies in electronic databases, including ISI Science Citation Index, Embase, PubMed, CNKI, and Wan fang, from January 2006 to March 2016. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to estimate the associations between 99 G>T, 487 C>T, or 354 A>C mutations and the risk of CHD. RESULTS: A total of 11 studies including 2878 CHD cases and 3339 controls were evaluated. There was no significant association between GATA4 99 G>T (OR = 1.22, 95% CI = 0.74–2.01, P = .43) or 487 C>T (OR = 1.16, 95% CI = 0.48–2.78, P = .74) mutations and the risk of CHD, whereas GATA4 354 A>C (OR = 1.49, 95% CI = 1.15–1.93, P = .003) mutation was significantly associated with CHD risk. Subgroup analysis was further performed for GATA4 99 G>T, 487 C>T, and 354 A>C mutations based on sample size and ethnicity, and no significant association between GATA4 99 G>T or 487 C>T mutations and the risk of CHD was found in all subgroups, whereas GATA4 354 A>C mutation was significantly associated with CHD risk in large-sample-size and Asian subgroups. However, subgroup analysis by types of CHD indicated that there was no significant association between GATA4 354 A>C mutation and the risk of ventricular septal defects. CONCLUSIONS: Our findings suggested that GATA4 99 G>T and 487 C>T mutations may not be related to the incidence of CHD. However, GATA4 354 A>C mutation was significantly associated with CHD risk.
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spelling pubmed-54199362017-05-11 Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis Zhang, Yanwei Ai, Feng Zheng, Jiayong Peng, Bangtian Medicine (Baltimore) 3400 BACKGROUND: GATA4 gene is a cardiac transcriptional factor playing important role in cardiac formation and development. Three GATA4 gene mutations, 99 G>T, 487 C>T, and 354 A>C, have been reported in congenital heart disease (CHD). Therefore, a meta-analysis was performed to explore the associations between 99 G>T, 487 C>T, or 354 A>C mutations and the risk of CHD. METHODS: We searched the relevant studies in electronic databases, including ISI Science Citation Index, Embase, PubMed, CNKI, and Wan fang, from January 2006 to March 2016. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to estimate the associations between 99 G>T, 487 C>T, or 354 A>C mutations and the risk of CHD. RESULTS: A total of 11 studies including 2878 CHD cases and 3339 controls were evaluated. There was no significant association between GATA4 99 G>T (OR = 1.22, 95% CI = 0.74–2.01, P = .43) or 487 C>T (OR = 1.16, 95% CI = 0.48–2.78, P = .74) mutations and the risk of CHD, whereas GATA4 354 A>C (OR = 1.49, 95% CI = 1.15–1.93, P = .003) mutation was significantly associated with CHD risk. Subgroup analysis was further performed for GATA4 99 G>T, 487 C>T, and 354 A>C mutations based on sample size and ethnicity, and no significant association between GATA4 99 G>T or 487 C>T mutations and the risk of CHD was found in all subgroups, whereas GATA4 354 A>C mutation was significantly associated with CHD risk in large-sample-size and Asian subgroups. However, subgroup analysis by types of CHD indicated that there was no significant association between GATA4 354 A>C mutation and the risk of ventricular septal defects. CONCLUSIONS: Our findings suggested that GATA4 99 G>T and 487 C>T mutations may not be related to the incidence of CHD. However, GATA4 354 A>C mutation was significantly associated with CHD risk. Wolters Kluwer Health 2017-05-05 /pmc/articles/PMC5419936/ /pubmed/28471988 http://dx.doi.org/10.1097/MD.0000000000006857 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle 3400
Zhang, Yanwei
Ai, Feng
Zheng, Jiayong
Peng, Bangtian
Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis
title Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis
title_full Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis
title_fullStr Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis
title_full_unstemmed Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis
title_short Associations of GATA4 genetic mutations with the risk of congenital heart disease: A meta-analysis
title_sort associations of gata4 genetic mutations with the risk of congenital heart disease: a meta-analysis
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419936/
https://www.ncbi.nlm.nih.gov/pubmed/28471988
http://dx.doi.org/10.1097/MD.0000000000006857
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