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

被引:3
|
作者
Wang, Tianyi [1 ]
Liu, Conghe [1 ]
Jia, Lili [1 ]
Ding, Jun [2 ]
机构
[1] Jilin Univ, Minist Hlth, NHC Key Lab Radiobiol, Changchun, Jilin, Peoples R China
[2] Jilin Univ, China Japan Union Hosp, 829 Xinmin St, Changchun 130021, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Apelin; essential hypertension; single nucleotide polymorphism; rs3761581; rs56204867; meta-analysis; BLOOD-PRESSURE RESPONSE; GENE POLYMORPHISMS; APJ RECEPTOR; SYSTEM; HAN; VARIANTS; RISK; ACE2;
D O I
10.1177/1470320319827204
中图分类号
R6 [外科学];
学科分类号
1002 ; 100210 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis
    Gao, Shu-tao
    Lv, Zheng-tao
    Zhou, Chuan-kun
    Mao, Chao
    Sheng, Wei-bin
    BMC MUSCULOSKELETAL DISORDERS, 2018, 19
  • [42] Association of Gene Polymorphisms with Polycystic Ovary Syndrome: A Meta-analysis
    Abinaya, G. P.
    Iyshwarya, B. K.
    Veerabathiran, Ramakrishnan
    GYNECOLOGY AND MINIMALLY INVASIVE THERAPY-GMIT, 2024, 13 (04): : 232 - 240
  • [43] Association between DNA repair gene polymorphisms and risk of glioma: A systematic review and meta-analysis
    Fahmideh, Maral Adel
    Schwartzbaum, Judith
    Frumento, Paolo
    Feychting, Maria
    NEURO-ONCOLOGY, 2014, 16 (06) : 807 - 814
  • [44] Association between interleukin-17 genetic polymorphisms and tuberculosis susceptibility: an updated meta-analysis
    Yu, Z-G.
    Wang, B-Z.
    Li, J.
    Ding, Z-L.
    Wang, K.
    INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE, 2017, 21 (12) : 1307 - 1313
  • [45] Association between functional CD24 polymorphisms and susceptibility to autoimmune diseases: A meta-analysis
    Lee, Y. H.
    Bae, S-C.
    CELLULAR AND MOLECULAR BIOLOGY, 2015, 61 (08) : 97 - 104
  • [46] Association Between Triglyceride-Glucose Index and Hypertension: A Meta-Analysis
    Wang, Yi
    Yang, Wei
    Jiang, Xiao
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2021, 8
  • [47] Association between human SHBG gene polymorphisms and risk of PCOS: a meta-analysis
    Li, Yuxi
    Fang, Lanlan
    Yan, Yang
    Wang, Zhen
    Wu, Ze
    Jia, Qiongqiong
    Cheng, Jung-Chien
    Sun, Ying-Pu
    REPRODUCTIVE BIOMEDICINE ONLINE, 2021, 42 (01) : 227 - 236
  • [48] Association between prodynorphin gene polymorphisms and opioid dependence susceptibility: a meta-analysis
    Wang, Chang-wang
    Ma, Min
    Lu, Wei-guang
    Luo, Ru-qin
    BMC PSYCHIATRY, 2019, 19 (01)
  • [49] Association between genetic polymorphisms of interleukins and cerebral infarction risk: a meta-analysis
    Wang, Jiantao
    Fan, Niannian
    Deng, Yili
    Zhu, Jie
    Mei, Jing
    Chen, Yao
    Yang, Heng
    BIOSCIENCE REPORTS, 2016, 36
  • [50] Association between IRF5 polymorphisms and autoimmune diseases: a meta-analysis
    Tang, L.
    Chen, B.
    Ma, B.
    Nie, S.
    GENETICS AND MOLECULAR RESEARCH, 2014, 13 (02): : 4473 - 4485