Polymorphisms of the candidate genes of atherosclerosis in Brazilian women with coronary artery disease

1999 ◽  
Vol 144 ◽  
pp. 185 ◽  
Author(s):  
L.A. Salazar ◽  
S.D. Giannini ◽  
N. Forti ◽  
M.H. Hirata ◽  
J. Diament ◽  
...  
2021 ◽  
Vol 331 ◽  
pp. e186
Author(s):  
S.A. Nazli ◽  
Y.A. Chua ◽  
A. Al-Khateeb ◽  
N.A. Mohd Kasim ◽  
A.B. Md Radzi ◽  
...  

2006 ◽  
Vol 68 (2) ◽  
pp. 187-200 ◽  
Author(s):  
Jeanne M. McCaffery ◽  
Nancy Frasure-Smith ◽  
Marie-Pierre Dubé ◽  
Pierre Théroux ◽  
Guy A. Rouleau ◽  
...  

2021 ◽  
Author(s):  
Arnaud Chignon ◽  
Samuel Mathieu ◽  
Anne Rufiange ◽  
Deborah Argaud ◽  
Pierre Voisine ◽  
...  

Abstract Coronary artery disease (CAD) is a multifactorial disorder, which is partly heritable. Herein, we implemented a mapping of CAD-associated candidate genes by using genome-wide enhancer-promoter conformation (H3K27ac-HiChIP) and expression quantitative trait loci (eQTL). Enhancer-promoter anchor loops from human coronary artery smooth muscle cells (HCASMC) explained 22% of the heritability for CAD. 3D enhancer-promoter genome mapping of CAD-genes in HCASMC was enriched in vascular eQTL genes. By using colocalization and Mendelian randomization analyses, we identified 58 causal candidate vascular genes including some druggable targets (MAP3K11, CAMK1D, PDGFD, IPO9 and CETP). A network analysis of causal candidate genes was enriched in TGF beta and MAPK pathways. The pharmacologic inhibition of causal candidate gene MAP3K11 in vascular SMC reduced the expression of athero-relevant genes and lowered cell migration, a cardinal process in CAD. Genes connected to enhancers are enriched in vascular eQTL and druggable genes causally associated with CAD.


2021 ◽  
Vol 12 ◽  
Author(s):  
Jennifer R. Dungan ◽  
Xue Qin ◽  
Melissa Hurdle ◽  
Carol S. Haynes ◽  
Elizabeth R. Hauser ◽  
...  

ObjectiveCoronary artery disease (CAD) is an age-associated condition that greatly increases the risk of mortality. The purpose of this study was to identify gene variants associated with all-cause mortality among individuals with clinically phenotyped CAD using a genome-wide screening approach.Approach and ResultsWe performed discovery (n = 1,099), replication (n = 404), and meta-analyses (N = 1,503) for association of genomic variants with survival outcome using secondary data from White participants with CAD from two GWAS sub-studies of the Duke Catheterization Genetics Biorepository. We modeled time from catheterization to death or last follow-up (median 7.1 years, max 12 years) using Cox multivariable regression analysis. Target statistical screening thresholds were p × 10–8 for the discovery phase and Bonferroni-calculated p-values for the replication (p < 5.3 × 10–4) and meta-analysis (p < 1.6 × 10–3) phases. Genome-wide analysis of 785,945 autosomal SNPs revealed two SNPs (rs13007553 and rs587936) that had the same direction of effect across all three phases of the analysis, with suggestive p-value association in discovery and replication and significant meta-analysis association in models adjusted for clinical covariates. The rs13007553 SNP variant, LINC01250, which resides between MYTIL and EIPR1, conferred increased risk for all-cause mortality even after controlling for clinical covariates [HR 1.47, 95% CI 1.17–1.86, p(adj) = 1.07 × 10–3 (discovery), p(adj) = 0.03 (replication), p(adj) = 9.53 × 10–5 (meta-analysis)]. MYT1L is involved in neuronal differentiation. TSSC1 is involved in endosomal recycling and is implicated in breast cancer. The rs587936 variant annotated to DAB2IP was associated with increased survival time [HR 0.65, 95% CI 0.51–0.83, p(adj) = 4.79 × 10–4 (discovery), p(adj) = 0.02 (replication), p(adj) = 2.25 × 10–5 (meta-analysis)]. DAB2IP is a ras/GAP tumor suppressor gene which is highly expressed in vascular tissue. DAB2IP has multiple lines of evidence for protection against atherosclerosis.ConclusionReplicated findings identified two candidate genes for further study regarding association with survival in high-risk CAD patients: novel loci LINC01250 (rs13007553) and biologically relevant candidate DAB2IP (rs587936). These candidates did not overlap with validated longevity candidate genes. Future research could further define the role of common variants in survival outcomes for people with CAD and, ultimately, improve longitudinal outcomes for these patients.


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