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GWAS Reveal Targets in Vessel Wall Pathways to Treat Coronary Artery Disease

Overview of attention for article published in Frontiers in Cardiovascular Medicine, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
GWAS Reveal Targets in Vessel Wall Pathways to Treat Coronary Artery Disease
Published in
Frontiers in Cardiovascular Medicine, June 2018
DOI 10.3389/fcvm.2018.00072
Pubmed ID
Authors

Adam W. Turner, Doris Wong, Caitlin N. Dreisbach, Clint L. Miller

Abstract

Coronary artery disease (CAD) is the leading cause of mortality worldwide and poses a considerable public health burden. Recent genome-wide association studies (GWAS) have revealed >100 genetic loci associated with CAD susceptibility in humans. While a number of these loci harbor gene targets of currently approved therapies, such as statins and PCSK9 inhibitors, the majority of the annotated genes at these loci encode for proteins involved in vessel wall function with no known drugs available. Importantly many of the associated genes linked to vascular (smooth muscle, endothelial, and macrophage) cell processes are now organized into distinct functional pathways, e.g., vasodilation, growth factor responses, extracellular matrix and plaque remodeling, and inflammation. In this mini-review, we highlight the most recently identified loci that have predicted roles in the vessel wall and provide genetic context for pre-existing therapies as well as new drug targets informed from GWAS. With the development of new modalities to target these pathways, (e.g., antisense oligonucleotides, CRISPR/Cas9, and RNA interference) as well as the computational frameworks to prioritize or reposition therapeutics, there is great opportunity to close the gap from initial genetic discovery to clinical translation for many patients affected by this common disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Bachelor 7 15%
Researcher 5 11%
Student > Postgraduate 5 11%
Student > Ph. D. Student 5 11%
Other 8 17%
Unknown 9 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Agricultural and Biological Sciences 8 17%
Medicine and Dentistry 8 17%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Nursing and Health Professions 3 7%
Other 6 13%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 31 October 2021.
All research outputs
#4,498,889
of 25,387,189 outputs
Outputs from Frontiers in Cardiovascular Medicine
#683
of 9,190 outputs
Outputs of similar age
#78,339
of 336,366 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#11
of 63 outputs
Altmetric has tracked 25,387,189 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,190 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,366 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.