Title : Associations between LPL gene polymorphisms and coronary artery disease: evidence based on an updated and cumulative meta-analysis - Ma_2018_Biosci.Rep_38_ |
Author(s) : Ma WQ , Wang Y , Han XQ , Zhu Y , Liu NF |
Ref : Bioscience Reports , 38 : , 2018 |
Abstract :
Lipoprotein lipase (LPL) is widely linked to lipid and lipoprotein metabolism, but its effects on coronary artery disease (CAD) are not clearly elucidated. The aim of this study was to clarify the association between LPL gene polymorphisms and CAD susceptibility. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated to estimate the strength of the relationship between LPL gene polymorphisms and CAD risk. Comprehensive electronic databases, including PubMed, EMBASE, Web of Science, and the Cochrane Library, were systematically searched. A total of 45 records containing 80 eligible studies were analyzed. The results indicated an increased risk between the LPL D9N polymorphism and susceptibility to CAD in the dominant genetic model (AA + GA vs. GG: OR = 1.46, 95% CI = 1.14-1.87), whereas the LPL HindIII polymorphism showed a protective effect against CAD under all tested models (GG+GT vs. TT: OR = 0.85, 95% CI = 0.75-0.97; GG vs. TT + TG: OR = 0.62, 95% CI = 0.47-0.83; G vs. T: OR = 0.81, 95% CI = 0.71-0.92). No significant association was identified for the LPL N291S and PvuII polymorphisms. Stratification analysis by ethnicity suggested a significant correlation between the LPL S447X polymorphism and CAD susceptibility in Caucasians under the dominant and allele genetic models. In summary, our meta-analysis indicated that the LPL D9N polymorphism was associated with an increased risk of CAD, whereas the S447X and HindIII polymorphisms showed protective effects. There was no association observed between the N291S and PvuII polymorphisms and CAD risk. |
PubMedSearch : Ma_2018_Biosci.Rep_38_ |
PubMedID: 29459423 |
Ma WQ, Wang Y, Han XQ, Zhu Y, Liu NF (2018)
Associations between LPL gene polymorphisms and coronary artery disease: evidence based on an updated and cumulative meta-analysis
Bioscience Reports
38 :
Ma WQ, Wang Y, Han XQ, Zhu Y, Liu NF (2018)
Bioscience Reports
38 :