The Gene Score for Predicting Hypertriglyceridemia: New Insights from a Czech Case-Control Study

BackgroundPlasma triglyceride (TG) values are significant predictors of cardiovascular and total mortality. The plasma levels of TGs have an important genetic background. We analyzed whether 32 single nucleotide polymorphisms (SNPs) identified in genome-wide association studies are discriminators of hypertriglyceridemia (HTG) in the Czech population.ObjectivesThe objective of this study was to replicate and test the original findings in an independent study and to re-analyze the gene score leading to HTG.MethodsIn total, we analyzed 32 SNPs in 209 patients with plasma TG levels over 10mmol/L (HTG group) and compared them in a case-control design with 524 treatment-naive controls (normotriglyceridemic [NTG] group) with plasma TG values below 1.8mmol/L.ResultsSixteen SNPs were significantly associated with an increased risk of HTG development, with odds ratios (ORs) (95% confidence interval [CI]) varying from 1.40 (1.01-1.95) to 4.69 (3.29-6.68) (rs964184 within the APOA5 gene). Both unweighted (sum of the risk alleles) and weighted gene scores (WGS) (log of the achieved ORs per individual genotype) were calculated, and both gene scores were significantly different between groups. The mean score of the risk alleles was significantly increased in the HTG group compared to the NTG group (18.52.5 vs. 15.7 +/- 2.3, respectively; P<0.00001). Subjects with a WGS over 9 were significantly more common in the HTG group (44.5%) than in the NTG group, in which such a high score was observed in only 4.7% of subjects (OR 16.3, 95% CI 10.0-36.7; P<0.0000001).Conclusions An increased number of risk genetic variants, calculated both in a weighted or unweighted manner, significantly discriminates between the subjects with HTG and controls. Population-specific sets of SNPs included into the gene score seem to yield better discrimination power.