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DOI 10.1038/ejhg.2013.242

Медицинская библиотека · European journal of human genetics : EJHG · 2013

Common genetic variants do not associate with CAD in familial hypercholesterolemia.

van Iperen Erik P A, Sivapalaratnam Suthesh, Boekholdt S Matthijs, Hovingh G Kees, Maiwald Stephanie, Tanck Michael W, Soranzo Nicole, Stephens Jonathan C, Sambrook Jennifer G, Levi Marcel, Ouwehand Willem H, Kastelein John Jp, Trip Mieke D, Zwinderman Aeilko H

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

In recent years, multiple loci dispersed on the genome have been shown to be associated with coronary artery disease (CAD). We investigated whether these common genetic variants also hold value for CAD prediction in a large cohort of patients with familial hypercholesterolemia (FH). We genotyped a total of 41 single-nucleotide polymorphisms (SNPs) in 1701 FH patients, of whom 482 patients (28.3%) had at least one coronary event during an average follow up of 66 years. The association of each SNP with event-free survival time was calculated with a Cox proportional hazard model. In the cardiovascular disease risk factor adjusted analysis, the most significant SNP was rs1122608:G>T in the SMARCA4 gene near the LDL-receptor (LDLR) gene, with a hazard ratio for CAD risk of 0.74 (95% CI 0.49-0.99; P-value 0.021). However, none of the SNPs reached the Bonferroni threshold. Of all the known CAD loci analyzed, the SMARCA4 locus near the LDLR had the strongest negative association with CAD in this high-risk FH cohort. The effect is contrary to what was expected. None of the other loci showed association with CAD.

Для цитирования: van Iperen Erik P A, Sivapalaratnam Suthesh, Boekholdt S Matthijs, Hovingh G Kees, Maiwald Stephanie, Tanck Michael W, Soranzo Nicole, Stephens Jonathan C, Sambrook Jennifer G, Levi Marcel, Ouwehand Willem H, Kastelein John Jp, Trip Mieke D, Zwinderman Aeilko H. Common genetic variants do not associate with CAD in familial hypercholesterolemia.. European journal of human genetics : EJHG. 2013. DOI: 10.1038/ejhg.2013.242.

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