Evidence map›Paper›PMID 41968188›Full record

ArticleScientific reports2026

Associations between antihypertensive drug-related gene polymorphisms and cardiovascular outcomes in hypertensive patients: a gene-drug interaction study.

Zetong Li, Huixia Liu, Mengshi Chen, Jing Deng, Ziyu Ma, Ge Huang, Cheng Li, Meng Su, Hua Zhong

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zetong LiXiangya School of Public Health, Central South University, Changsha, China.
Huixia LiuXiangya School of Public Health, Central South University, Changsha, China.
Mengshi ChenXiangya School of Public Health, Central South University, Changsha, China.
Jing DengXiangya School of Public Health, Central South University, Changsha, China.
Ziyu MaXiangya School of Public Health, Central South University, Changsha, China.
Ge HuangXiangya School of Public Health, Central South University, Changsha, China.
Cheng LiXiangya School of Public Health, Central South University, Changsha, China.
Meng SuXiangya School of Public Health, Central South University, Changsha, China.
Hua ZhongDepartment of Cardiology, Xiangya Hospital, Central South University, Changsha, 410008, China. zhonghua960@163.com.

Funding

Hunan Provincial Natural Science Foundation of China 2021JJ30893
6 · The paper itself

Abstract

Antihypertensive therapy is pivotal in preventing cardiovascular events, yet treatment efficacy varies significantly among individuals due to genetic polymorphisms.This study aimed to investigate the association between specific antihypertensive drug-related gene polymorphisms, the use of corresponding sensitive drugs, and the risks of stroke and coronary heart disease (CHD) in a community-based hypertensive population. A cross-sectional study was conducted among 29,662 hypertensive patients from primary care centers in Changsha County, China. Seven gene loci (ACE(I/D), CYP2C9*3,AGTR1(1166 A > C), CYP2D6*10,ADRB1(1165G > C), CYP3A5*3, and NPPA(2238T > C))were genotyped.Patients were stratified into sensitive or non-sensitive genotype groups. Logistic regression and interaction analysis were employed to assess gene-drug interactions on cardiovascular outcomes. The prevalence of stroke and CHD was 2.8% and 19.5%, respectively. Carriers of sensitive genotypes for AGTR1, CYP2D6*10, and ADRB1 taking sensitive drugs exhibited a significantly lower risk of stroke (ORs: 0.39, 0.67, 0.68; all P < 0.01). Similarly, sensitive genotype carriers for CYP2D6*10, CYP3A5*3, and NPPA taking sensitive drugs had a reduced risk of CHD (ORs: 0.92, 0.88, 0.53; all P < 0.05). A significant additive interaction was identified between AGTR1(1166 A > C) and sensitive drug use on CHD risk (AP = 0.08). Pharmacogenomics-guided antihypertensive therapy is associated with a reduced risk of stroke and CHD in hypertensive patients. The interaction between AGTR1(1166 A > C) genotype and drug use underscores the potential of personalized medicine in optimizing cardiovascular disease prevention strategies in primary care.

Indexed as

Antihypertensive AgentsCoronary DiseaseHypertensionPolymorphism, GeneticStrokeAgedChinaCross-Sectional StudiesCytochrome P-450 CYP2C9Cytochrome P-450 CYP2D6FemaleGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideAGTR1 protein, humanAntihypertensive AgentsCytochrome P-450 CYP2C9Cytochrome P-450 CYP2D6Receptor, Angiotensin, Type 1Receptors, Adrenergic, beta-1Antihypertensive drugsCardiovascular and cerebrovascular eventsGenetic polymorphismHypertension

Identifiers

PMID41968188
PMCPMC13230963

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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.