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Updated: Jun 28, 2025

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
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Pharmacogenomics-based systematic review of coronary artery disease based on personalized medicine procedure

Siamak Kazemi Asl1, Milad Rahimzadegan2, Alireza Kazemi Asl2

  • 1Deputy of Education, Ministry of Health and Medical Education, Tehran, Iran.

Heliyon
|April 11, 2024
PubMed
Abstract

Insights

This study identified 29 pharmacogenomic genes and 57 variants associated with coronary artery disease (CAD), aiding in personalized treatment strategies. Evaluating specific ABCA1 variants and miR33a levels can improve drug prescription for CAD patients.

Area of Science:

  • Genomics
  • Pharmacogenomics
  • Cardiovascular Disease Research

Background:

  • Coronary artery disease (CAD) is a leading global cause of mortality and disability.
  • Identifying genetic factors influencing CAD treatment is crucial for improving patient outcomes.

Purpose of the Study:

  • To systematically review bioinformatics analyses of pharmacogenomic impacts on CAD.
  • To propose a novel gene list for CAD treatment based on pharmacogenetic insights.

Main Methods:

  • Systematic literature review of PubMed (2020-2023) focusing on CAD and pharmacogenetics.
  • Utilized STRING-MODEL, Cytoscape, miRTargetLink.2., NetworkAnalyst, and PharmGKB for analyses including PPIs, GMIs, PDIs, and VAAs.
  • Filtered 5618 publications down to 650, extracting and analyzing protein-coding genes and variants.

Main Results:

  • Identified 4608 protein-coding genes, refining to 530 evidence-based repeated genes.
  • Found 71 genes with pharmacogenetics-related variant annotations, leading to 175 potential variants.
  • Associated 57 nonsynonymous variants from 29 pharmacogenomic genes with CAD based on function and MAF.

Conclusions:

  • Circulating miR33a and specific ABCA1 variants (e.g., rs2230806) are key for precise drug prescription in CAD.
  • Findings support the use of whole-genome sequencing (WGS) and whole-exome sequencing (WES) for CAD prognosis and diagnosis.
Keywords:
Coronary artery diseaseDrugGWASPharmacogeneticsVariant

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