AI Insight
This case-control study of 801 participants in Uzbekistan's Karakalpakstan region identified six genetic variants significantly associated with essential hypertension in a population exposed to high environmental salinity near the Aral Sea. The strongest associations were found in polymorphisms of genes AGT C521T, NOS3 T(-786)C, AGTR2 G1675A, and CYP11B2 C(-344)T, with odds ratios ranging from 0.12 to 1.66. The research applied rigorous statistical methods including Bonferroni correction to account for multiple testing across nine genetic variants.
Why it matters
These findings could help identify individuals at elevated genetic risk for hypertension in populations living under extreme environmental stress, potentially enabling earlier intervention and personalized prevention strategies. The results also contribute to understanding how genetic susceptibility to cardiovascular disease may vary across different populations and environmental contexts.
Understand the Science
by Khurshid Ataniyazov, Darya Vladimirovna Zakirova, Khurshid Meylikov, Gulnoz Khamidullaeva, Guzal Abdullaeva, Shahlo Turdikulova, Khurshid Fozilov, Alisher Abdullaev
Objective
This research investigates the correlation between nine polymorphic variants and the incidence of hypertension and its clinical manifestations in the Ellikqala District in the Republic of Karakalpakstan, Uzbekistan. This district is known as one of the most challenging areas for human habitation due to its high salinity levels in the environment, which contribute to a higher prevalence of cardiovascular diseases.
Methods
This was a population-based case-control study. The study included 801 participants from the Karakalpakstan region of Uzbekistan, of which 621 were patients with essential hypertension, and the remaining 180 were the control group. Genetic analysis was conducted using multiplex qPCR with allele-specific probes. A statistical approach based on logistic regression was applied to identify their association with essential hypertension and its clinical manifestations. Logistic regression under a log-additive genetic model was used to calculate unadjusted (crude) and adjusted odds ratios and 95% confidence intervals. Stratified analyses by sex, age (<60 vs. ≥ 60 years), and BMI (<25 vs. ≥ 25 kg/m²) were performed with Bonferroni correction (k = 18 per stratification; threshold p < 2.8e-3).
Results
The analysis revealed statistically significant associations between essential hypertension and six polymorphic variants after Bonferroni correction (k = 9, corrected threshold: p < 5.6e-3): AGT C521T (rs4762; OR = 0.12, 95% CI: 0.08–0.16, p-Bonferroni = 2.99e-50), AGT T704C (rs699; OR = 0.68, 95% CI: 0.54–0.86, p-Bonferroni = 1.1979e-2), AGTR2 G1675A (rs1403543; OR = 0.52, 95% CI: 0.42–0.64, p-Bonferroni = 4.76e-9), CYP11B2 C(−344)T (rs1799998; OR = 0.47, 95% CI: 0.36–0.60, p-Bonferroni = 8.97e-9), GNB3 C825T (rs5443; OR = 1.66, 95% CI: 1.27–2.18, p-Bonferroni = 1.368e-3), and NOS3 T(−786)C (rs2070744; OR = 0.27, 95% CI: 0.21–0.34, p-Bonferroni = 2.50e-27). NOS3 G894T (rs1799983) showed a nominally significant association prior to correction (OR = 0.68, 95% CI: 0.52–0.89; p = 5.069e-3), but did not survive Bonferroni adjustment (p-Bonferroni = 4.5621e-2) and should be interpreted with caution.
Conclusion
Six out of nine studied polymorphic variants were associated with essential hypertension and its clinical manifestations in the Ellikqala District in the Republic of Karakalpakstan, Uzbekistan.