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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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Translating GWAS Findings to Novel Therapeutic Targets for Coronary Artery Disease

Le Shu1,2, Montgomery Blencowe1, Xia Yang1,2,3,4,5

  • 1Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, United States.

Frontiers in Cardiovascular Medicine
|June 15, 2018
PubMed

Insights

Genome-wide association studies (GWAS) offer insights into coronary artery disease (CAD) but face challenges in drug development. This review explores strategies to bridge the gap between GWAS findings and new CAD therapeutics.

Area of Science:

  • Genetics
  • Pharmacology
  • Cardiovascular Disease Research

Background:

  • Genome-wide association studies (GWAS) have greatly enhanced understanding of coronary artery disease (CAD) etiology.
  • A significant gap exists between CAD GWAS discoveries and the development of clinically approved drugs.
  • This disconnect highlights untapped potential and considerable challenges in translating genetic findings into therapeutics.

Purpose of the Study:

  • To review the rationale for utilizing GWAS in drug discovery for CAD.
  • To identify and discuss critical bottlenecks hindering the translation of GWAS findings.
  • To present promising strategies for enhancing the therapeutic value of CAD GWAS.

Main Methods:

  • Literature review focusing on the intersection of GWAS, CAD, and drug development.
  • Analysis of challenges in translating genetic associations into viable drug targets.
  • Exploration of advanced methodologies like functional genomics and network-based approaches.

Main Results:

  • GWAS provide a powerful foundation for understanding CAD's genetic underpinnings.
  • Key challenges include target validation, biological mechanism elucidation, and clinical translation.
  • Functional genomics and network analysis show promise in overcoming these hurdles.

Conclusions:

  • Leveraging GWAS for CAD drug discovery holds immense potential.
  • Overcoming translational bottlenecks requires innovative approaches.
  • Integrating functional genomics and network-based strategies can accelerate the development of novel CAD therapeutics.
Keywords:
coronary artery diseasedrug targetsfunctional genomicsgenome-wide association studymulti-omicsnetworks

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