Prevention and Treatment of Cardiovascular Disease ›› 2023, Vol. 13 ›› Issue (25): 27-32.

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Distribution of antihypertensive drug-related gene polymorphisms in the hypertensive population in Tongliao, China

JIANG Qiu-feng, FENG Ying, BAI Yu-han, GONG Guo-hua*   

  1. Office of Pharmacy Administration, AffiliatedHospitalofInner MongoliaUniversity for Nationalities,Tongliao 028000, China
  • Published:2024-01-10

Abstract: Objective To analyze the frequency distribution of seven antihypertensive drug-related genes in the population in Tongliao, China, and to provide a theoretical basis for the precise medication for local hypertensive patients. Methods A total of 401 hypertensive patients admitted to the AffiliatedHospitalofInner MongoliaUniversity for Nationalities in Tongliao from September 2021 to June 2022 were enrolled as study subjects. The ligase-mediated fluorescent probe technique was used to determine the single nucleotide polymorphisms of seven genes associated with five antihypertensive drugs (β-receptor blockers, angiotensin II receptor antagonists, angiotensin-converting enzyme inhibitors, diuretics, and calcium antagonists). The gene frequency differences were analyzed among patients of different sexes, nationalities, and regions. Results The mutant allele frequencies of CYP2D6*10, ADRB1(1165G>C), CYP2C9*3, AGTR1(1166A>C), ACE(I/D), NPPA(T2238C), and CYP3A5*3 of the 401 patients were 41.77%, 73.82%, 3.99%, 4.99%, 34.54%, 1.25%, and 72.94%, respectively. Significant differences were found in the NPPA gene frequency distribution between different sexes(P<0.05), in the CYP2D6*10 and CYP3A5*3 gene frequency distribution between different ethnic groups(P<0.05), and in the CYP2D6*10 gene frequency distribution between different regions (P<0.05). Conclusion The genes CYP2D6*10, ADRB1 (1165G>C), and CYP3A5*3 have a high mutation frequency in the hypertensive patients in Tongliao, indicating a good effect of β-receptor blockers and calcium antagonists in the population in this region. This providesa reference value for clinicians in choosing the right antihypertensive drugs.

Key words: Antihypertensive drug-related gene, Gene polymorphism, Hypertension, Individualized medication