Small Dense Low-Density Lipoprotein-Cholesterol Concentrations Predict Risk for Coronary Heart Disease The Atherosclerosis Risk in Communities (ARIC) Study

Hoogeveen, Ron C. and Gaubatz, John W. and Sun, Wensheng and Dodge, Rhiannon C. and Crosby, Jacy R. and Jiang, Jennifer and Couper, David and Virani, Salim S. and Kathiresan, Sekar and Boerwinkle, Eric and Ballantyne, Christie M. (2014) Small Dense Low-Density Lipoprotein-Cholesterol Concentrations Predict Risk for Coronary Heart Disease The Atherosclerosis Risk in Communities (ARIC) Study. Arteriosclerosis, Thrombosis, and Vascular Biology.

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Abstract

Low-density lipoprotein-cholesterol (LDL-C) is considered one of the most important risk factors for cardiovascular disease and remains the primary target for current cardiovascular risk reduction strategies. LDL particles are a heterogeneous population, and it has long been hy- pothesized that a subfraction of LDL, small dense LDL, possesses atherogenic potential. In the current study, we investigated the relationship between plasma levels of small dense LDL-C and risk of incident coronary heart disease in the biracial Atherosclerosis Risk in Communities (ARIC) study cohort. Elevated plasma small dense LDL-C levels were associated with increased risk of incident coronary heart disease, even in individuals considered to be at low cardiovascular risk based on their LDL-C levels. Using genome-wide association analyses, we dis- covered 1 novel locus, PCSK7, for which genetic variation was significantly associated with small dense LDL-C levels and other lipid traits. Together these findings provide new insights into the role of the PCSK7 gene in lipid metabolism and risk of cardiovascular disease.

Item Type: Article
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Medicine, Health and Life Sciences > School of Medicine
Depositing User: Dr Philip Kime
Date Deposited: 27 Aug 2023 14:38
Last Modified: 27 Aug 2023 14:38
URI: https://eprints.kime.dyndns.org/id/eprint/136

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