Evidence map›Paper›PMID 29900175›Full record

ArticleFrontiers in cardiovascular medicine2018

Translating GWAS Findings to Novel Therapeutic Targets for Coronary Artery Disease.

Le Shu, Montgomery Blencowe, Xia Yang

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Genomic strategies for drug repurposing.Journal of the Egyptian National Cancer Institute · 2024
    Review
  5. Using Genomics to Identify Novel Therapeutic Targets for Aortic Disease.Arteriosclerosis, thrombosis, and vascular biology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Repurposing Drugs to Treat Heart and Brain Illness.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  12. Article
  13. Review
  14. Article
  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Le ShuDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Montgomery BlencoweDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.
Xia YangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
NIDDK NIH HHS R01 DK104363
6 · The paper itself

Abstract

The success of genome-wide association studies (GWAS) has significantly advanced our understanding of the etiology of coronary artery disease (CAD) and opens new opportunities to reinvigorate the stalling CAD drug development. However, there exists remarkable disconnection between the CAD GWAS findings and commercialized drugs. While this could implicate major untapped translational and therapeutic potentials in CAD GWAS, it also brings forward extensive technical challenges. In this review we summarize the motivation to leverage GWAS for drug discovery, outline the critical bottlenecks in the field, and highlight several promising strategies such as functional genomics and network-based approaches to enhance the translational value of CAD GWAS findings in driving novel therapeutics.

Indexed as

coronary artery diseasedrug targetsfunctional genomicsgenome-wide association studymulti-omicsnetworks

Identifiers

PMID29900175
PMCPMC5989327

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.