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Genetic association study of coronary collateral circulation in patients with coronary artery disease using 22 single nucleotide polymorphisms corresponding to 10 genes involved in postischemic…

Overview of attention for article published in BMC Cardiovascular Disorders, May 2015
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Title
Genetic association study of coronary collateral circulation in patients with coronary artery disease using 22 single nucleotide polymorphisms corresponding to 10 genes involved in postischemic neovascularization
Published in
BMC Cardiovascular Disorders, May 2015
DOI 10.1186/s12872-015-0027-z
Pubmed ID
Authors

Joan Duran, Pilar Sánchez Olavarría, Marina Mola, Víctor Götzens, Julio Carballo, Eva Martín Pelegrina, Màrius Petit, Omar Abdul-Jawad, Imanol Otaegui, Bruno García del Blanco, David García-Dorado, Josep Reig, Alex Cordero, Josep Maria de Anta

Abstract

Collateral growth in patients with coronary artery disease (CAD) is highly heterogeneous. Although multiple factors are thought to play a role in collateral development, the contribution of genetic factors to coronary collateral circulation (CCC) is largely unknown. The goal of this study was to assess whether functional single nucleotide polymorphisms (SNPs) in genes involved in vascular growth are associated with CCC. 677 consecutive CAD patients were enrolled in the study and their CCC was assessed by the Rentrop method. 22 SNPs corresponding to 10 genes involved in postischemic neovascularization were genotyped and multivariate logistic regression models were adjusted using clinically relevant variables to estimate odds ratios and used to examine associations of allelic variants, genotypes and haplotypes with CCC. Statistical analysis showed that the HIF1A rs11549465 and rs2057482; VEGFA rs2010963, rs1570360, rs699947, rs3025039 and rs833061; KDR rs1870377, rs2305948 and rs2071559; CCL2 rs1024611, rs1024610, rs2857657 and rs2857654; NOS3 rs1799983; ICAM1 rs5498 and rs3093030; TGFB1 rs1800469; CD53 rs6679497; POSTN rs3829365 and rs1028728; and LGALS2 rs7291467 polymorphisms, as well as their haplotype combinations, were not associated with CCC (p < 0.05). We could not validate in our cohort the association of the NOS3 rs1799983, HIF1A rs11549465, VEGFA rs2010963 and rs699947, and LGALS2 rs7291467 variants with CCC reported by other authors. A validated SNP-based genome-wide association study is required to identify polymorphisms influencing CCC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 6 21%
Other 3 11%
Student > Postgraduate 3 11%
Student > Master 3 11%
Other 4 14%
Unknown 3 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 29%
Medicine and Dentistry 8 29%
Agricultural and Biological Sciences 6 21%
Neuroscience 1 4%
Unknown 5 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 May 2015.
All research outputs
#18,409,030
of 22,803,211 outputs
Outputs from BMC Cardiovascular Disorders
#1,110
of 1,608 outputs
Outputs of similar age
#192,069
of 264,485 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#13
of 16 outputs
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.