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

Area of Science:

• Genetics
• Cardiovascular Disease
• Population Health

Background:

• Plasma triglyceride (TG) levels are key indicators of cardiovascular and overall mortality.
• Genetic factors play a substantial role in determining an individual's plasma TG levels.
• Hypertriglyceridemia (HTG) is a condition with a significant genetic component.

Purpose of the Study:

• To validate findings on single nucleotide polymorphisms (SNPs) associated with HTG in an independent cohort.
• To re-evaluate the predictive power of a gene score for identifying HTG.
• To assess the utility of 32 identified SNPs in discriminating HTG in the Czech population.

Main Methods:

• A case-control study design was employed.
• 32 SNPs were analyzed in 209 patients with HTG (TG > 10 mmol/L) and 524 normotriglyceridemic controls (TG < 1.8 mmol/L).
• Both unweighted and weighted gene scores (WGS) were calculated based on risk alleles and odds ratios.

Main Results:

• Sixteen SNPs showed a significant association with increased HTG risk, with odds ratios ranging from 1.40 to 4.69.
• Both unweighted and weighted gene scores were significantly higher in the HTG group compared to controls (P < 0.00001).
• A WGS over 9 was found in 44.5% of HTG patients versus 4.7% of controls, indicating a strong association (OR 16.3).

Conclusions:

• An elevated count of risk genetic variants, assessed via weighted or unweighted gene scores, effectively distinguishes individuals with HTG from controls.
• The findings suggest that population-specific SNP sets incorporated into gene scores may enhance HTG discrimination.
• Genetic profiling using specific SNPs can aid in identifying individuals at higher risk for hypertriglyceridemia.