Title : Gene polymorphism associated with Angiotensinogen(M235T), Endothelial lipase (584C\/T) and susceptibility to coronary artery disease: A meta-analysis - Zhao_2020_Biosci.Rep__ |
Author(s) : Zhao H , Zhao R , Hu S , Rong J |
Ref : Bioscience Reports , : , 2020 |
Abstract :
OBJECTIVE: To explore the association between the variant M235T locus of angiotensinogen (AGT) gene, 584C/T locus of Endothelial lipase (EL) gene, and coronary artery disease (CAD) by meta-analysis. METHODS: The case-control studies on the association between AGT/EL gene polymorphism and CAD were collected through searching PubMed, EMbase, Web of Science, CNKI and Wanfang database up to March 1, 2020. Stata 15.0 software was used for analysis. RESULTS: A total of 29 articles met the inclusion criteria. After analyzing, it was found that the M235T polymorphism of AGT gene was associated with the occurrence of CAD. In the allele model (T vs. M), OR=1.38 (P < 0.05). In other heredity, there was also statistically significant. Subgroup analysis indicated that except the heterozygous genetic model of the Chinese population, other genetic models of the Caucasian and Chinese population were also statistically significant. The 584C/T polymorphism of EL gene was associated with the occurrence of CAD, with OR=0.83 (P < 0.05) in the allele model (T vs. C) and OR=0.80 (P < 0.05) in the dominant gene model. Also, in the allele model of Caucasian subgroup, OR=0.83 (P < 0.05), while in Asian subgroup, there was no statistically significant genetic model. CONCLUSION: AGT M235T and EL 584C/T polymorphisms are associated with CAD susceptibility. The genotype TT, TC or allele T of AGT M235T and genotype CC or allele C of EL 584C/T might be the genetic risk factors for the development of CAD. |
PubMedSearch : Zhao_2020_Biosci.Rep__ |
PubMedID: 32667032 |
Zhao H, Zhao R, Hu S, Rong J (2020)
Gene polymorphism associated with Angiotensinogen(M235T), Endothelial lipase (584C\/T) and susceptibility to coronary artery disease: A meta-analysis
Bioscience Reports
:
Zhao H, Zhao R, Hu S, Rong J (2020)
Bioscience Reports
: