ArticleMolecular diagnosis & therapy2019
The Gene Score for Predicting Hypertriglyceridemia: New Insights from a Czech Case-Control Study.
Article in Molecular diagnosis & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 11 citations in OpenAlex.
- From metabolic dysregulation to malignancy: the presence ofJournal of gastrointestinal oncology · 2026Review
- Cholesterol associated genetic risk score and acute coronary syndrome in Czech males.Molecular biology reports · 2024Article
- Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management?International journal of molecular sciences · 2021Review
- Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population.Molecular genetics & genomic medicine · 2020Article
- Genetics of Familial Hypercholesterolemia: New Insights.Frontiers in genetics · 2020Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 10 mmol/L (HTG group) and compared them in a case-control design with 524 treatment-naïve controls (normotriglyceridemic [NTG] group) with plasma TG values below 1.8 mmol/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 (18.5 ± 2.5 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).
conclusionsAn 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.
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