The promoter polymorphism rs3918226 of endothelial nitric oxide synthase gene as a novel susceptibility marker for peripheral artery disease.

OBJECTIVES: This pilot study aimed to investigate the association between the single nucleotide polymorphism (SNP) rs3918226 in the promoter of the nitric oxide synthase (NOS3) gene and the risk of peripheral artery disease (PAD). METHODS: DNA samples from 1263 unrelated subjects of Slavic origin, including 620 patients with PAD and 643 controls, were genotyped for the SNP rs3918226 using the MassArray-4 system. RESULTS: The rs3918226 polymorphism was found to be strongly associated with an increased risk of PAD regardless of coronary artery disease, hypertension, or cigarette smoking (OR=2.86, 95%CI 1.89-4.32, Pperm<0.0001). The SNP-PAD association was in almost three times stronger in females (OR=8.31 95%CI 3.07-22.48) than in males (OR=1.79 95%CI 1.10-2.93). SNP rs3918226 was correlated with ankle brachial index (ABI) and total plasma cholesterol in patients with PAD (Рperm<0.05). The NOS3 polymorphism was closely associated with SNPs rs7692387 and rs13139571 in GUCY1A3 to determine the risk of PAD, suggesting that the rs3918226 polymorphism may disrupt signaling in the nitric oxide-soluble guanylyl cyclase pathway. Diplotypes with wild-type alleles, such as NOS3 rs3918226-C/C×GUCY1A1 rs7692387G/G and NOS3 rs3918226-C/C×GUCY1A1 rs13139571C/C, showed strong protection against disease risk (FDR≤0.001). Functional SNP annotation revealed that the allele rs3918226-T was associated with decreased expression of NOS3, most strongly in the tibial arteries than in the coronary artery or aorta. CONCLUSIONS: The present study is the first to show that the rs3918226 polymorphism of NOS3 is a novel susceptibility marker for peripheral artery disease. Further research in independent populations is necessary to reproduce the association between polymorphism rs3918226 and disease risk.

Lipid-Associated GWAS Loci Predict Antiatherogenic Effects of Rosuvastatin in Patients with Coronary Artery Disease.

We have shown that lipid-associated loci discovered by genome-wide association studies (GWAS) have pleiotropic effects on lipid metabolism, carotid intima-media thickness (CIMT), and CAD risk. Here, we investigated the impact of lipid-associated GWAS loci on the efficacy of rosuvastatin therapy in terms of changes in plasma lipid levels and CIMT. The study comprised 116 CAD patients with hypercholesterolemia. CIMT, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG) were measured at baseline and after 6 and 12 months of follow-up, respectively. Genotyping of fifteen lipid-associated GWAS loci was performed by the MassArray-4 System. Linear regression analysis adjusted for sex, age, body mass index, and rosuvastatin dose was used to estimate the phenotypic effects of polymorphisms, and p-values were calculated through adaptive permutation tests by the PLINK software, v1.9. Over one-year rosuvastatin therapy, a decrease in CIMT was linked to rs1689800, rs4846914, rs12328675, rs55730499, rs9987289, rs11220463, rs16942887, and rs881844 polymorphisms (Pperm < 0.05). TC change was associated with rs55730499, rs11220463, and rs6065906; LDL-C change was linked to the rs55730499, rs1689800, and rs16942887 polymorphisms; and TG change was linked to polymorphisms rs838880 and rs1883025 (Pperm < 0.05). In conclusion, polymorphisms rs1689800, rs55730499, rs11220463, and rs16942887 were found to be predictive markers for multiple antiatherogenic effects of rosuvastatin in CAD patients.

Pharmacogenetic loci for rosuvastatin are associated with intima-media thickness change and coronary artery disease risk.

Aim: Polymorphisms at LPA, LDLR, APOE, APOC1, MYLIP and ABCG2 are attractive targets for assessment of their impact on lipid-lowering therapy with rosuvastatin. The present study investigated whether polymorphisms at these genes are associated with the risk of coronary artery disease (CAD) development, and reduction of atherogenic lipids and carotid intima-media thickness (CIMT) in CAD patients, taking rosuvastatin. Materials & methods: 190 CAD patients and 1697 subjects were enrolled in pharmacogenetic and genetic association study, respectively. SNP genotyping was done using the MassARRAY-4 system. Results:MYLIP rs6924995, rs3757354, APOC1 rs445925, LDLR rs6511720, APOE rs7412, ABCG2 rs2199936, rs1481012 variants were significantly associated with CAD susceptibility (p = 0.016, 0.0003, <0.0001, <0.0001, 0.013, 0.016, 0.0035, respectively), as well as with CIMT regression (except ABCG2 variants; p = 0.05, 0.039, 0.039, 0.016, 0.0065), and changes in plasma lipids during rosuvastatin therapy. Conclusion: The studied polymorphisms possess pleiotropic effects on plasma lipids and CIMT, CAD susceptibility, and determine lipid-lowering response to rosuvastatin.

Comprehensive Statistical and Bioinformatics Analysis in the Deciphering of Putative Mechanisms by Which Lipid-Associated GWAS Loci Contribute to Coronary Artery Disease.

The study was designed to evaluate putative mechanisms by which lipid-associated loci identified by genome-wide association studies (GWAS) are involved in the molecular pathogenesis of coronary artery disease (CAD) using a comprehensive statistical and bioinformatics analysis. A total of 1700 unrelated individuals of Slavic origin from the Central Russia, including 991 CAD patients and 709 healthy controls were examined. Sixteen lipid-associated GWAS loci were selected from European studies and genotyped using the MassArray-4 system. The polymorphisms were associated with plasma lipids such as total cholesterol (rs12328675, rs4846914, rs55730499, and rs838880), LDL-cholesterol (rs3764261, rs55730499, rs1689800, and rs838880), HDL-cholesterol (rs3764261) as well as carotid intima-media thickness/CIMT (rs12328675, rs11220463, and rs1689800). Polymorphisms such as rs4420638 of APOC1 (p = 0.009), rs55730499 of LPA (p = 0.0007), rs3136441 of F2 (p < 0.0001), and rs6065906 of PLTP (p = 0.002) showed significant associations with the risk of CAD, regardless of sex, age, and body mass index. A majority of the observed associations were successfully replicated in large independent cohorts. Bioinformatics analysis allowed establishing (1) phenotype-specific and shared epistatic gene-gene and gene-smoking interactions contributing to all studied cardiovascular phenotypes; (2) lipid-associated GWAS loci might be allele-specific binding sites for transcription factors from gene regulatory networks controlling multifaceted molecular mechanisms of atherosclerosis.