OBJECTIVE: To detect the association of single polymorphisms of the renin-angiotensin-aldosterone system (RAAS), or different combinations thereof, with hypertension. DESIGN AND METHODS: The GENIPER database is the result of a collaborative effort of 13 Italian research centres to collect genomic DNA in subjects well characterized in terms of blood pressure status. A total of 2461 subjects (normotensive = 611; hypertensive = 1850) were selected and genotyped for the angiotensin-converting enzyme insertion/deletion (ACE I/D), angiotensinogen (AGT) T/C704, angiotensin receptor type 1 (AT1) A/C1166 and aldosterone synthase (ALDO) T/C-344 genetic variants. RESULTS: Allele frequencies were homogeneous over the Italian territory, with the relevant exception of the ACE I/D, the D allele being significantly less frequent in the northern region (61%) than in the rest of the country (67%; P < 0.0001). When comparing allele and genotype distributions in normotensives and hypertensives, the latter presented a small but statistically significant increase of the C allele of AGT T/C704, the A allele of AT1 A/C1166 and the T allele of ALDO T/C-344 polymorphisms (P = 0.018, P = 0.037 and P = 0.015, respectively), with similar trends all over the country. A step-wise logistic regression analysis confirmed these findings, by entering in the model as independent predictors of blood pressure status of AGT T/C704 (P = 0.013), ALDO T/C-344 (P = 0.032) and AT1 A/C1166 polymorphisms (P = 0.075), but not ACE I/D (P = 0.996). We also found some evidence of an additive effect of individual genetic variants of the RAAS, modulating at different levels the same functional pathway, on the risk of developing hypertension, but no synergistic interaction was observed. CONCLUSIONS: Our results suggest that some allelic variants of RAAS genes carry a small but identifiable risk of developing arterial hypertension.
OBJECTIVE: To detect the association of single polymorphisms of the renin-angiotensin-aldosterone system (RAAS), or different combinations thereof, with hypertension. DESIGN AND METHODS: The GENIPER database is the result of a collaborative effort of 13 Italian research centres to collect genomic DNA in subjects well characterized in terms of blood pressure status. A total of 2461 subjects (normotensive = 611; hypertensive = 1850) were selected and genotyped for the angiotensin-converting enzyme insertion/deletion (ACE I/D), angiotensinogen (AGT) T/C704, angiotensin receptor type 1 (AT1) A/C1166 and aldosterone synthase (ALDO) T/C-344 genetic variants. RESULTS: Allele frequencies were homogeneous over the Italian territory, with the relevant exception of the ACE I/D, the D allele being significantly less frequent in the northern region (61%) than in the rest of the country (67%; P < 0.0001). When comparing allele and genotype distributions in normotensives and hypertensives, the latter presented a small but statistically significant increase of the C allele of AGTT/C704, the A allele of AT1A/C1166 and the T allele of ALDO T/C-344 polymorphisms (P = 0.018, P = 0.037 and P = 0.015, respectively), with similar trends all over the country. A step-wise logistic regression analysis confirmed these findings, by entering in the model as independent predictors of blood pressure status of AGTT/C704 (P = 0.013), ALDO T/C-344 (P = 0.032) and AT1A/C1166 polymorphisms (P = 0.075), but not ACE I/D (P = 0.996). We also found some evidence of an additive effect of individual genetic variants of the RAAS, modulating at different levels the same functional pathway, on the risk of developing hypertension, but no synergistic interaction was observed. CONCLUSIONS: Our results suggest that some allelic variants of RAAS genes carry a small but identifiable risk of developing arterial hypertension.
Authors: Bruce E Blanchard; Gregory J Tsongalis; Margaux A Guidry; Lisa A LaBelle; Michelle Poulin; Amy L Taylor; Carl M Maresh; Joseph Devaney; Paul D Thompson; Linda S Pescatello Journal: Eur J Appl Physiol Date: 2006-02-09 Impact factor: 3.078
Authors: Andreas Tomaschitz; Stefan Pilz; Eberhard Ritz; Barbara Obermayer-Pietsch; Thomas R Pieber Journal: Nat Rev Endocrinol Date: 2009-12-22 Impact factor: 43.330
Authors: Amy I Lynch; Donna K Arnett; James S Pankow; Michael B Miller; Kari E North; John H Eckfeldt; Steven C Hunt; Dabeeru C Rao; Luc Djoussé Journal: Hum Genet Date: 2007-05-10 Impact factor: 4.132
Authors: Abigail W Bigham; Melisa Kiyamu; Fabiola León-Velarde; Esteban J Parra; Maria Rivera-Ch; Mark D Shriver; Tom D Brutsaert Journal: High Alt Med Biol Date: 2008 Impact factor: 1.981
Authors: Alexandra Dadarlat-Pop; Dana Pop; Lucia Procopciuc; Adela Sitar-Taut; Dumitru Zdrenghea; Gyorgy Bodizs; Raluca Tomoaia; Diana Gurzau; Florina Fringu; Silvana Susca-Hojda; Anca D Buzoianu Journal: Int J Gen Med Date: 2021-05-06