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Aim. The aim of the present study was to evaluate the contribution of 11 singlenucleotide polymorphisms (SNPs) and production factors to the development of arterial hypertension (AH) in men in an organized workers cohort of machinebuilding plant.Material and methods. The study included men aged 20-65 years who had contact with production factors (PF) during at least 50% of the working time. Genotyping of 11 SNPs was performed using TaqMan real-time PCR. Data statistical analysis was carried out using statistica 8.0 and SAS, v. 6.12 software.Results. 583 men were included in the study, 205 of those had AH, 378 did not. The groups differed significantly in age, presence of higher education, the frequency of combination of two or more components of the metabolic syndrome and the severity of its individual components: weight, waist circumference, level of total cholesterol, triglycerides, low density lipoprotein cholesterol, glucose. As a result of genotyping, it was found that the frequency distribution of genotypes between groups with and without AH significantly differed for two SNPs — rs2932538 (p=0,0414) in the MOV10 gene and rs4373814 (p=0,0344) in the CACNB2 gene. Combining information on several SNPs in the genetic risk SCORE (GRS) it was shown that the mean value of the total GRS in the groups with and without AH was 0,0382±0,119 and 0,0195±0,111, correspondingly. The differences between the groups were significant (p=0,032). Based on the results of multivariate analysis, it was shown that the independent factors associated with the presence of AH in participants were age (OR=1,057 (1,037-1,076), p=0,0001), the presence of two or more components of the metabolic syndrome (OR=2,519 (1,621-3,914), p=0,0001) and the total GRS, consisting of 11 SNP (OR=1,479 (1,02-2,143), p=0,04). PF adjusting for the age were not associated with the presence of AH.Conclusion. In men, who had direct contact with PF at machine-building plant, GRS consisting of 11 SNPs was an independent factor influencing the presence of AH. The results show the necessity of practical USAge of genetic tests together with traditional risk factors assessment with the aim for increase of AH risk estimation precision and for carrying out individual prevention.