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The contribution of six polymorphisms to cardiovascular risk in a Dutch high-risk primary care population: the
A W Plat1, H E J H Stoffers, O H Klungel
1Department of General Practice, School for Public Health and Primary Care (CAPHRI), Maastricht University Medical Center, Maastricht, The Netherlands.
Insights
Genetic variations in six key genes showed a protective effect against cardiovascular disease (CVD) in a Dutch population. However, these genetic markers offered minimal improvement in predicting CVD risk alongside traditional factors.
Area of Science:
- Genetics
- Cardiovascular Medicine
- Epidemiology
Background:
- Cardiovascular disease (CVD) poses a significant health burden, particularly in populations with prevalent risk factors.
- Understanding the genetic underpinnings of CVD is crucial for improving risk prediction and prevention strategies.
Purpose of the Study:
- To investigate the association between six specific gene polymorphisms and the occurrence of CVD in a Dutch primary care setting.
- To evaluate the predictive value of these polymorphisms for CVD risk.
Main Methods:
- A cross-sectional case-control study involving 232 CVD patients and 571 controls.
- Genotyping was performed for AGTR1, AGT, ACE, NOS3, GNB3, and ADD1 polymorphisms.
- Univariate, multivariate, and Receiver Operating Characteristic (ROC) analyses were employed.
Main Results:
- No significant differences in genotype or allele frequencies were observed between CVD cases and controls.
- The T-allele of AGT and ADD1 demonstrated a significant protective association with CVD (OR=0.55 and OR=0.52, respectively).
- Adding the six polymorphisms to traditional risk factors provided only a marginal improvement in CVD risk prediction via ROC analysis.
Conclusions:
- While AGT and ADD1 polymorphisms show a protective effect, their overall contribution to cardiovascular risk prediction in this primary care population is limited.
- These specific genetic polymorphisms are unlikely to be major determinants of CVD risk in the Dutch primary care setting studied.
Abstract:
This study was designed to examine the contribution of six polymorphisms to the occurrence of cardiovascular disease (CVD) in a Dutch primary care population with a high prevalence of cardiovascular risk factors. In this cross-sectional case-control study, 232 patients with CVD and 571 event-free controls were studied. Patients were genotyped for the AGTR1 (A1166C), AGT (M235T), ACE (4656rpt), NOS3 (E298D), GNB3 (C825T) and ADD1 (G460W) polymorphisms. Univariate and multivariate odds ratios (ORs) were calculated to assess the relationship between genotypes and CVD. Receiver operating characteristic (ROC) analysis was used to quantify the contribution of the polymorphisms to the prediction of CVD. No differences in either genotype or allele frequencies were found between CVD cases and controls. Multivariate analyses, corrected for multiple testing according to Bonferroni, showed significant protective associations for the T-allele of AGT (OR=0.55 (0.34-0.84)) and for the T-allele of ADD1 (OR=0.52 (0.31-0.82)). ROC analysis showed only a very small improvement of CVD risk prediction by adding the six polymorphisms to a model with traditional risk factors. Our data suggest that a major attribution of the six polymorphisms to the cardiovascular risk prediction in a primary care population such as HIPPOCRATES is unlikely.
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