Risk scores of common genetic variants for lipid levels influence atherosclerosis and incident coronary heart disease.

Isaacs A, Willems SM, Bos D, Dehghan A, Hofman A, Ikram MA, Uitterlinden AG, Oostra BA, Franco OH, Witteman JC, van Duijn CM.

Source

From the Genetic Epidemiology Unit, Department of Epidemiology (A.I., S.M.W., B.A.O., C.M.v.D.), Department of Radiology (D.B., M.A.I.), Department of Epidemiology (D.B., A.D., A.H., M.A.I., A.G.U., O.H.F., J.C.W.), and Department of Internal Medicine (A.G.U.), Erasmus Medical Center, Rotterdam, The Netherlands; and Centre for Medical Systems Biology, Leiden, The Netherlands (A.I., C.M.v.D.).

Abstract

OBJECTIVE:

Circulating levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides are recognized risk factors for cardiovascular disease. We tested the hypothesis that the cumulative effects of common genetic variants for lipids are collectively associated with subclinical atherosclerosis and incident coronary heart disease.

APPROACH AND RESULTS:

Participants were drawn from the Erasmus Rucphen Family Study (n=2269) and the Rotterdam Study (n=8130). Linear regression and Cox proportional hazards models were applied to assess the influence of 4 risk scores derived from common genetic variants for lipids (total cholesterol, LDL-C, high-density lipoprotein cholesterol, and triglycerides) on carotid plaque, intima-media thickness, incident myocardial infarction, and coronary heart disease. Adjusted for age and sex, all 4 risk scores were associated with carotid plaque. This relationship was the strongest for the LDL-C score, which increased plaque score by 0.102 per SD increase in genetic risk score (P=3.2×10(-8)). The LDL-C score was also nominally associated with intima-media thickness, which increased 0.006 mm per SD increase in score (P=0.05). Both the total cholesterol and LDL-C scores were associated with incident myocardial infarction and coronary heart disease with hazard ratios between 1.10 and 1.13 per SD increase in score. Inclusion of additional risk factors as covariates minimally affected these results.

CONCLUSIONS:

Common genetic variants with small effects on lipid levels are, in combination, significantly associated with subclinical and clinical cardiovascular outcomes. As knowledge of genetic variation increases, preclinical genetic screening tools might enhance the prediction and prevention of clinical events.