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Causal Relevance of Blood Lipid Fractions in the Development of Carotid Atherosclerosis: Mendelian Randomization Analysis.

by: Sonia Shah, Juan-Pablo P. Casas, Fotios Drenos, John Whittaker, John Deanfield, Daniel I. Swerdlow, Michael V. Holmes, Mika Kivimaki, Claudia Langenberg, Nick Wareham, Karl Gertow, Bengt Sennblad, Rona J. Strawbridge, Damiano Baldassarre, Fabrizio Veglia, Elena Tremoli, Bruna Gigante, Ulf de Faire, Meena Kumari, Philippa J. Talmud, Anders Hamsten, Steve E. Humphries, Aroon D. Hingorani
Circulation. Cardiovascular genetics (28 December 2012), doi:10.1161/circgenetics.112.963140  Key: citeulike:11863778

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Abstract

BACKGROUND: -Carotid intima-media thickness (CIMT), a subclinical measure of atherosclerosis, is associated with risk of coronary heart disease (CHD) events. Statins reduce progression of CIMT and CHD risk in proportion to the reduction in low-density lipoprotein cholesterol (LDL-C). However, interventions targeting triglycerides or high density lipoprotein cholesterol (HDL-C) have produced inconsistent effects on CIMT and CHD risk, making it uncertain whether such agents are ineffective for CHD prevention or whether CIMT is an inadequate marker of HDL-C or triglyceride-mediated effects. We aimed to determine the causal association between the three major blood lipid fractions and common CIMT using Mendelian randomisation (MR) analysis. METHODS AND RESULTS: -Gene scores specific for LDL-C, HDL-C and triglycerides were derived based on single nucleotide polymorphisms (SNPs) from a gene-centric array in around 5000 individuals (Cardiochip scores) and from a genome-wide association meta-analysis in over 100,000 individuals (Global Lipids Genetic Consortium (GLGC) scores). These were used as instruments in an MR analysis in two prospective cohort studies. A genetically-predicted 1 mmol/L higher LDL-C concentration was associated with a higher common CIMT by 0.03 mm (95% CI=0.01-0.04) and 0.04 mm (95% CI=0.02-0.06) based on the Cardiochip and GLGC scores, respectively. HDL-C and triglycerides were not causally associated with CIMT. CONCLUSIONS: -Our findings confirm a causal relationship between LDL-C and CIMT but not with HDL-C and triglycerides. At present, the suitability of CIMT as a surrogate marker in trials of cardiovascular therapies targeting HDL-C and triglycerides is questionable and requires further study.


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