Effect of the interaction between noise exposure and AGT gene polymorphisms in steelworkers on essential hypertension.

Authors

Miao Liu, Ying Wang, Peishuai Li, Juxiang Yuan, Junwang Tong, Shoufang Jiang, Zhaoyang Wang, Yao Zheng, Feng Chai, Xiangwen Li

Published in

International archives of occupational and environmental health. Volume 99. Issue 5. Jul 06, 2026. Epub Jul 06, 2026.

Abstract

Although steelworkers are exposed to occupational noise, few studies have investigated the interaction between noise and genetic polymorphisms in relation to essential hypertension (EH). This study aimed to investigate the interaction between noise exposure and angiotensinogen(AGT) gene polymorphisms (A-20 C and T174M) on EH risk among steelworkers.
The study included 725 male steelworkers, with 224 assigned to the EH group and 501 to the control group. The exposure to environmental factors such as high temperature and workplace noise levels were measured. Binary multifactorial logistic regression combined with crossover analysis and generalized multifactor dimensionality reduction (GMDR) were employed to examine the interaction effects between AGT gene polymorphisms and noise exposure on the incidence of EH among steelworkers.
Compared with nonexposed controls, individuals who experienced noise exposure exhibited a 1.636-fold increased risk of developing EH (95% CI: 1.127-2.375). Genetic analysis revealed that compared with those with the TT genotype, steelworkers with the TM genotype at the T174M locus of the AGT gene exhibited a 1.802-fold increased risk of EH (95% CI: 1.208-2.689). Gene-noise interaction analysis using a multiplicative model revealed that compared with individuals with the TT genotype without noise exposure, individuals with the TM genotype at the T174M locus who experienced noise exposure exhibited a 2.02-fold increased risk of EH (OR = 2.020; 95% CI: 1.064-3.835). Analysis of the GMDR gene‒gene‒noise interaction model revealed that the T174M‒A-20C-noise three-factor model is the best.
Noise and AGT gene polymorphisms (especially T174M) interact to increase EH risk among steelworkers, with the three-factor model showing the strongest association.

PMID:
42405982
Bibliographic data and abstract were imported from PubMed on 06 Jul 2026.

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