Cargando…

The association between apelin polymorphisms and hypertension in China: A meta-analysis

INTRODUCTION: Apelin plays an important part in regulating blood pressure, metabolism, and the development of cancer. Recent studies have investigated the association of apelin polymorphisms and hypertension risk, but no meta-analysis has been conducted. MATERIALS AND METHODS: Five studies were incl...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Tianyi, Liu, Conghe, Jia, Lili, Ding, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376513/
https://www.ncbi.nlm.nih.gov/pubmed/30755060
http://dx.doi.org/10.1177/1470320319827204
_version_ 1783395574205120512
author Wang, Tianyi
Liu, Conghe
Jia, Lili
Ding, Jun
author_facet Wang, Tianyi
Liu, Conghe
Jia, Lili
Ding, Jun
author_sort Wang, Tianyi
collection PubMed
description INTRODUCTION: Apelin plays an important part in regulating blood pressure, metabolism, and the development of cancer. Recent studies have investigated the association of apelin polymorphisms and hypertension risk, but no meta-analysis has been conducted. MATERIALS AND METHODS: Five studies were included in this meta-analysis in total. The pooled odds ratio and its corresponding 95% confidence interval were calculated by the random-effect model. RESULTS: The overall pooled odds ratio of the distribution of rs3761581 G allelic frequency was 0.90 (95% confidence interval: 0.82–1.00). In female participants, the pooled odds ratio of the frequency of G allele was 1.01 (95% confidence interval: 0.89–1.14). For males, the pooled odds ratio of the frequency of G allele was 0.69 (95% confidence interval: 0.46–1.03). As for rs56204867, the overall pooled odds ratio of the frequency of G allele was 1.09 (95% confidence interval: 0.86–1.37). In females, the pooled odds ratio of the frequencies of the G allele was 1.05 (95% confidence interval: 0.86–1.29). In male participants, the frequency of G allele did not show significant correlation with hypertension (pooled odds ratio=1.21 95% confidence interval: 0.81–1.79). CONCLUSION: This meta-analysis revealed that there was no correlation between apelin polymorphisms, rs3761581 and rs56204867, and the prevalence of hypertension.
format Online
Article
Text
id pubmed-6376513
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-63765132019-02-21 The association between apelin polymorphisms and hypertension in China: A meta-analysis Wang, Tianyi Liu, Conghe Jia, Lili Ding, Jun J Renin Angiotensin Aldosterone Syst Original Article INTRODUCTION: Apelin plays an important part in regulating blood pressure, metabolism, and the development of cancer. Recent studies have investigated the association of apelin polymorphisms and hypertension risk, but no meta-analysis has been conducted. MATERIALS AND METHODS: Five studies were included in this meta-analysis in total. The pooled odds ratio and its corresponding 95% confidence interval were calculated by the random-effect model. RESULTS: The overall pooled odds ratio of the distribution of rs3761581 G allelic frequency was 0.90 (95% confidence interval: 0.82–1.00). In female participants, the pooled odds ratio of the frequency of G allele was 1.01 (95% confidence interval: 0.89–1.14). For males, the pooled odds ratio of the frequency of G allele was 0.69 (95% confidence interval: 0.46–1.03). As for rs56204867, the overall pooled odds ratio of the frequency of G allele was 1.09 (95% confidence interval: 0.86–1.37). In females, the pooled odds ratio of the frequencies of the G allele was 1.05 (95% confidence interval: 0.86–1.29). In male participants, the frequency of G allele did not show significant correlation with hypertension (pooled odds ratio=1.21 95% confidence interval: 0.81–1.79). CONCLUSION: This meta-analysis revealed that there was no correlation between apelin polymorphisms, rs3761581 and rs56204867, and the prevalence of hypertension. SAGE Publications 2019-02-13 /pmc/articles/PMC6376513/ /pubmed/30755060 http://dx.doi.org/10.1177/1470320319827204 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Wang, Tianyi
Liu, Conghe
Jia, Lili
Ding, Jun
The association between apelin polymorphisms and hypertension in China: A meta-analysis
title The association between apelin polymorphisms and hypertension in China: A meta-analysis
title_full The association between apelin polymorphisms and hypertension in China: A meta-analysis
title_fullStr The association between apelin polymorphisms and hypertension in China: A meta-analysis
title_full_unstemmed The association between apelin polymorphisms and hypertension in China: A meta-analysis
title_short The association between apelin polymorphisms and hypertension in China: A meta-analysis
title_sort association between apelin polymorphisms and hypertension in china: a meta-analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376513/
https://www.ncbi.nlm.nih.gov/pubmed/30755060
http://dx.doi.org/10.1177/1470320319827204
work_keys_str_mv AT wangtianyi theassociationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis
AT liuconghe theassociationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis
AT jialili theassociationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis
AT dingjun theassociationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis
AT wangtianyi associationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis
AT liuconghe associationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis
AT jialili associationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis
AT dingjun associationbetweenapelinpolymorphismsandhypertensioninchinaametaanalysis