Contribution of Four Polymorphisms in Renin-Angiotensin-Aldosterone-Related Genes to Hypertension in a Thai Population. (14th August 2019)

• Record Type: Journal Article
• Authors: Charoen, Pimphen; Eu-ahsunthornwattana, Jakris; Thongmung, Nisakron; Jose, Pedro A.; Sritara, Piyamitr; Vathesatogkit, Prin; Kitiyakara, Chagriya
• Other Names: Abdalla Maha Guest Editor.
• Is Part Of: International journal of hypertension. Volume 2019(2019)
• Publication Date: 2019-08-14
• Subjects: Hypertension -- Periodicals; Hypertension; Hypertension; Periodicals; 616.132005
• DOI: 10.1155/2019/4861081
• Languages: English
• ISSNs: 2090-0384

Abstract

Abstract : Introduction . The roles of genes in the renin-angiotensin-aldosterone system (RAAS) in hypertension, including angiotensin-converting enzyme (ACE), angiotensinogen (AGT), angiotensin II receptor type 1 (AGTR1), and aldosterone synthase (CYP11B2), have been widely studied across different ethnicities, but there has been no such investigation in Thai population. Materials and Methods . Using 4, 150 Thais recorded in the Electricity Generating Authority of Thailand (EGAT) study, we examined the association of rs1799752, rs699, rs5186, and rs1799998 located in or near ACE, AGT, AGTR1, and CYP11B2 genes in hypertension. We investigated their roles in hypertension using multivariate logistic regression and further examined their roles in blood pressure (BP) using quantile regression. Sex, age, and BMI were adjusted as potential confounders. Results . We did not observe associations between hypertension and rs1799752 (P = 0.422 ), rs699 (P = 0.36 ), rs5186 (P = 0.49 ), and rs1799998 (P = 0.71 ). No evidence of association between these SNPs and BP was found across an entire distribution. A nonlinear relationship between age and BP was observed. Conclusion . In Thai population, our study showed no evidence of association between RAAS-related genes and hypertension. While our study is the first and largest study to investigate the role of RAAS-related genes in hypertension in Thai population, restricted statistical power due to limited sample size is a limitation.