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Published on: October 12, 2017
Elevated lipoprotein(a) and genetic polymorphisms in the LPA gene may predict cardiovascular events
Jun-Xu Gu1, Juan Huang2, Shan-Shan Li1
1Department of Clinical Laboratory, Peking University People's Hospital, No. 11 Xizhimen South Street, Beijing, 100044, People's Republic of China.
Abstract:
Elevated lipoprotein(a) [Lp(a)] is a risk factor for coronary heart disease (CHD), but there are few studies on the prediction of future cardiovascular events by Lp(a) and its LPA single nucleotide polymorphisms (SNPs). The aim of this study was to investigate whether elevated Lp(a) and its SNPs can predict cardiovascular events. We evaluated whether Lp(a) and LPA SNPs rs6415084 and rs12194138 were associated with the incidence rate and severity of CHD. All participants were followed up for 5 years. Elevated Lp(a) is an independent risk factor for the risk and severity of CHD (CHD group vs. control group: OR = 1.793, 95% CI: 1.053-2.882, p = 0.043; multiple-vessel disease group vs. single-vessel disease group: OR = 1.941, 95% CI: 1.113-3.242, p = 0.027; high GS group vs. low GS group: OR = 2.641, 95% CI: 1.102-7.436, p = 0.040). Both LPA SNPs were risk factors for CHD, and were positively associated with the severity of CHD (LPA SNPs rs6415084: CHD group vs. control group: OR = 1.577, 95% CI: 1.105-1.989, p = 0.004; multiple-vessel disease group vs. single-vessel disease group: OR = 1.613, 95% CI: 1.076-2.641, p = 0.030; high GS group vs. low GS group: OR = 1.580, 95% CI: 1.088-2.429, p = 0.024; LPA SNPs rs12194138: CHD group vs. control group: OR = 1.475, 95% CI: 1.040-3.002, p = 0.035; multiple-vessel disease group vs. single-vessel disease group: OR = 2.274, 95% CI: 1.060-5.148, p = 0.038; high GS group vs. low GS group: OR = 2.067, 95% CI: 1.101-4.647, p = 0.021). After 5 years of follow-up, elevated Lp(a) and LPA SNPs rs6415084 and rs12194138 can independently predict cardiovascular events. The increase of serum Lp(a) and LPA SNPs rs6415084 and rs12194138 are associated with increased prevalence and severity of CHD, and can independently predict cardiovascular events.
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