Dataset Information

Paraoxonase 1 gene variants concerning cardiovascular mortality in conventional cigarette smokers and non-smokers treated with hemodialysis.

ABSTRACT: Cigarette smoking effects might correspond with paraoxonase 1 gene (PON1) single nucleotide variants (SNVs). We investigated the association of PON1 rs705379, rs854560, and rs662 with cardiovascular mortality in hemodialysis (HD) patients concerning conventional cigarette smoking. Cardiovascular, cardiac, coronary heart disease (CHD)- and non-CHD-related deaths were analyzed in 206 HD cigarette smokers and 659 HD non-smokers. P-values were adjusted for sex, age, and high-density lipoprotein cholesterol. Among all smokers, the rs705379 TT genotype was associated with cardiovascular (P = 0.028), cardiac (P = 0.046), and cardiac non-CHD-related (P = 0.001) mortality. Non-diabetic smokers showed similar qualitative significance to all smokers concerning mentioned death rates (P-values 0.011, 0.044, and 0.009, respectively). In diabetic non-smokers, the rs705379 T allele correlated with CHD-related deaths (P = 0.020). The rs854560 T allele was associated with lower cardiovascular mortality in non-diabetic smokers (P = 0.008). The rs854560 TT genotype showed a negative non-significant correlation with non-CHD-related cardiac death in all non-smokers (P = 0.079). In diabetic smokers, the rs662 G allele was associated with higher cardiac mortality (P = 0.005). In all non-smokers and non-diabetic non-smokers, the rs662 G correlated with cardiovascular deaths (P = 0.020 and P = 0.018, respectively). Genotyping PON1 SNVs may help argue HD smokers harboring the rs705379 TT genotype or T allele and non-smokers possessing the rs662 G allele for prevention against cardiovascular diseases. These groups are more burdened genetically for cardiovascular mortality.

SUBMITTER: Grzegorzewska AE

PROVIDER: S-EPMC8484566 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundTo explore associations between PON1 rs854560, rs662, 705,379, HCV clearance, and interactions between tested PON1 single nucleotide variants (SNVs) and interferon-λ4 gene (IFNL4) rs368234815 variant in hemodialyzed individuals.MethodsThe study included 83 HD individuals who spontaneously resolved HCV infection (all had known IFNL4 rs368234815 variant) and 104 individuals with persistently positive blood tests for HCV RNA (102 were IFNL4 rs368234815 variant successfully genotyped). We genotyped PON1 by high-resolution melt analysis (rs662) or predesigned TaqMan SNV Genotyping Assay (rs854560, rs705379). We used a logistic regression model to assess the association between genetic data and HCV outcome while adjusting for clinical confounding variables. Epistatic interactions between tested PON1 SNVs and IFNL4 rs368234815 were analyzed by the multifactor dimensionality reduction method.ResultsIn the recessive inheritance model, PON1 rs662 GG (OR 9.94, 95% CI 1.20-82.7, P = 0.022) and rs854560 TT (OR 4.31, 95% CI 1.62-11.5, P = 0.003) genotypes were associated with a higher probability for HCV clearance. The haplotype composed of rs662A_rs854560A_rs705379 was not associated with spontaneous HCV clearance. The IFNL4 rs368234815 TT/TT variant was equally distributed among individuals bearing different PON1 SNVs. The epistatic gene-gene analysis did not reveal the interaction between tested PON1 SNVs and IFNL4 rs368234815 (P = 0.094). Regression model, including the PON1 rs662 GG genotype, the PON1 rs854560 genotype, the IFNL4 rs368234815 TT/TT genotype, age at RRT onset, RRT duration, and chronic glomerulonephritis as possible explanatory variables for spontaneous HCV clearance, showed that significant predictors of spontaneous HCV clearance were the IFNL4 rs368234815 TT/TT genotype (OR 2.607, 95% CI 1.298-5.235, P = 0.007), PON1 rs854560 TT (OR 6.208, 1.962-19.644, P = 0.002), PON1 rs662 GG (OR 10.762, 1.222-94.796, P = 0.032), and RRT duration (OR 0.930, 95% CI 0.879-0.984, P = 0.011).ConclusionIn HD individuals, PON1 rs662 GG and rs854560 TT are associated with a higher frequency of spontaneous HCV clearance.

Project description:IntroductionVarenicline is the most efficacious smoking cessation treatment; however, long-term cessation rates tend to be <25%. Nausea, the most common side effect of varenicline, observed in ~28% of individuals treated, peaks early following treatment initiation and reduces cessation success. Genetic variation influences treatment response, however genetic contributors to individual differences in side effects are less understood.MethodsWe conducted a genome-wide association study of nausea incidence at 1 week following the initiation of varenicline treatment (corresponding to the target quit date) in 189 cigarette smokers of European ancestry (NCT01314001). Additive genetic models examining the likelihood of experiencing any versus no nausea controlled for population substructure, age, and sex. Variants with minor allele frequencies (MAF)≥10% were considered.ResultsFifty-seven (30.2%) out of 189 participants reported nausea. The top variant associated with nausea was rs1568209 (odds ratio [OR] = 2.61 for A vs. G allele; 95% confidence interval [CI] = 1.65,4.15; p = 2.1e-7; MAF = 48.7%), mapping to the SLCO3A1 drug transporter gene on chromosome 15. In the same trial, rs1568209 was not associated with nausea in either the nicotine patch (p = .56; n = 181) or placebo (p = .59; n = 174) arms. In varenicline-treated smokers, the incidence of nausea was higher in females (44.6%; n = 74) versus males (20.9%; n = 115) (p = .001), however there was no evidence of a difference in the influence of rs1568209 on nausea between the sexes (p for sex*genotype interaction = .36). Future studies in larger samples are required to test the robustness of this finding.ConclusionsVariation in SLCO3A1 may influence the risk for developing nausea in varenicline-treated smokers, which may alter adherence and cessation.ImplicationsVarenicline-associated nausea reduces adherence and limits cessation success. Previous candidate gene association studies showed genetic factors influence nausea on varenicline. This pilot genome-wide investigation of nausea, the most common side effect associated with varenicline treatment and an important cause of treatment discontinuation, suggests the potential involvement of common variation in the SLCO3A1 drug transporter gene.

Dataset Information

Paraoxonase 1 gene variants concerning cardiovascular mortality in conventional cigarette smokers and non-smokers treated with hemodialysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets