Literature DB >> 31222479

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

Jaroslav A Hubacek1, Dana Dlouha2, Vera Adamkova3, Lucie Schwarzova4, Vera Lanska5, Richard Ceska4, Martin Satny4, Michal Vrablik4.   

Abstract

BACKGROUND: Plasma 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.
OBJECTIVES: The 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.
METHODS: In 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.
RESULTS: Sixteen 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).
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.

Entities:  

Year:  2019        PMID: 31222479     DOI: 10.1007/s40291-019-00412-2

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  41 in total

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Authors:  L Schwarzova; J A Hubacek; M Vrablik
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Review 3.  The evolution of genetic-based risk scores for lipids and cardiovascular disease.

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8.  Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies.

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9.  Sixty-five common genetic variants and prediction of type 2 diabetes.

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Journal:  Diabetes       Date:  2014-12-04       Impact factor: 9.461

Review 10.  Effects of blood triglycerides on cardiovascular and all-cause mortality: a systematic review and meta-analysis of 61 prospective studies.

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1.  Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population.

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