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Common genetic variants do not associate with CAD in familial hypercholesterolemia
- Source :
- European journal of human genetics, 22(6), 809-813. Nature Publishing Group
- Publication Year :
- 2014
-
Abstract
- 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.
- Subjects :
- Male
Oncology
medicine.medical_specialty
Genotype
Single-nucleotide polymorphism
Locus (genetics)
Coronary Artery Disease
Familial hypercholesterolemia
Biology
Bioinformatics
Polymorphism, Single Nucleotide
Risk Assessment
Disease-Free Survival
Article
Hyperlipoproteinemia Type II
Gene Frequency
Risk Factors
Internal medicine
Genetics
medicine
Humans
SNP
Genetic Predisposition to Disease
cardiovascular diseases
Allele frequency
Genetics (clinical)
Aged
Proportional Hazards Models
Proportional hazards model
Hazard ratio
DNA Helicases
Nuclear Proteins
Middle Aged
medicine.disease
Cohort
Female
Transcription Factors
Subjects
Details
- Language :
- English
- ISSN :
- 10184813
- Volume :
- 22
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- European journal of human genetics
- Accession number :
- edsair.doi.dedup.....fc1d5e2d6f3abd80b64fbbbe276f4af0
- Full Text :
- https://doi.org/10.1038/ejhg.2013.242