Relationship between CYP2C19 Polymorphism and Clopidogrel Resistance in Patients with Coronary Heart Disease and

Rong Chang1,2, Wenqin Zhou3, Yi Ye3

  • 1Department of Cardiology, Shenzhen Longhua District Central Hospital, Shenzhen, China.

Genetics Research
|November 3, 2022
PubMed

Insights

CYP2C19 gene variations do not predict clopidogrel resistance in Han and Tibetan patients in Qinghai. Instead, age, activated partial thromboplastin time, and aspirin resistance are key risk factors for clopidogrel resistance.

Area of Science:

  • Pharmacogenomics
  • Cardiovascular Medicine
  • Internal Medicine

Background:

  • Clopidogrel is crucial for preventing ischemic events in cardiovascular diseases.
  • Clopidogrel resistance (CR) affects treatment efficacy.
  • CYP2C19 gene polymorphisms are ethnic and geographically variable, influencing CR.

Purpose of the Study:

  • To investigate the association between CYP2C19 polymorphisms and clopidogrel resistance (CR).
  • To analyze CR in Han and Tibetan populations with coronary heart disease and ischemic stroke in Qinghai Province, China.

Main Methods:

  • Whole exome sequencing was used to identify CYP2C19 polymorphisms (CYP2C19*2, *3, *17).
  • Patients diagnosed with coronary heart disease or cerebral infarction were enrolled.
  • Comparison of CR and non-CR groups was performed for genetic and clinical factors.

Main Results:

  • No significant association was found between CYP2C19 genotypes (*2, *3, *17) and CR in either Han or Tibetan populations.
  • In the Han population, age, activated partial thromboplastin time (APTT), and aspirin resistance were significantly correlated with CR.
  • No significant differences in indicators were observed between CR and non-CR groups in the Tibetan population.

Conclusions:

  • CYP2C19 alleles (*2, *3, *17) are not correlated with clopidogrel resistance in the studied populations.
  • Age, APTT, and aspirin resistance are identified as independent risk factors for CR in this region.
  • Findings highlight the need to consider non-genetic factors for CR management in Qinghai.
Abstract

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