Literature DB >> 17116759

Multilocus analyses of Renin-Angiotensin-aldosterone system gene variants on blood pressure at rest and during behavioral stress in young normotensive subjects.

Dongliang Ge1, Haidong Zhu, Ying Huang, Frank A Treiber, Gregory A Harshfield, Harold Snieder, Yanbin Dong.   

Abstract

The renin-angiotensin-aldosterone system (RAAS) is a proteolytic cascade that regulates and maintains blood pressure (BP). This study aimed to explore the interactive and integrative effects of multiple RAAS polymorphisms on BP at rest and during behavioral stress in a normotensive population. A total of 920 young white and black twins (age: 12 to 30 years; 45% blacks) was subjected to three 10-minute stress tasks. Thirteen potential functional polymorphisms from 4 major RAAS genes were genotyped. We performed multilocus prediction allowing for genetic modification effects (gene-gene, gene-gender, gene-ethnicity, and gene-body mass index) using Multivariate Adaptive Regression Splines and generalized estimating equations. Single polymorphism analyses showed modest effects of M235T (angiotensinogen) and A-239T (angiotensin I-converting enzyme; P value range: 0.005 to 0.036), accounting for approximately 1% of the total variance of systolic BP at rest and during stress. Compared with this, the best multilocus models revealed multiple independent genetic modification effects (gene-gene, gene-gender, and gene-body mass index; P value range: 0.003 to 0.009), accounting for 2.5% and 7.3% of the total variance for systolic BP levels at rest and during stress, respectively. Our data support the hypothesis that multiple RAAS genetic modifications account for BP variation. We conclude that the RAAS genetic modifications may contribute more to the dynamic BP regulation in response to behavioral stress compared with the static BP value. In addition, we reported a gene-gene interaction between M235T (angiotensinogen) and A1159G (angiotensin I-converting enzyme) on stress systolic BP levels. We proposed a viable approach to test for the multiple genetic contributions to BP and hypertension.

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Year:  2006        PMID: 17116759     DOI: 10.1161/01.HYP.0000251524.00326.e7

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  11 in total

1.  Variable selection in logistic regression for detecting SNP-SNP interactions: the rheumatoid arthritis example.

Authors:  Hui-Yi Lin; Renee Desmond; S Louis Bridges; Seng-jaw Soong
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2.  Comparison of multivariate adaptive regression splines and logistic regression in detecting SNP-SNP interactions and their application in prostate cancer.

Authors:  Hui-Yi Lin; Wenquan Wang; Yung-Hsin Liu; Seng-Jaw Soong; Timothy P York; Leann Myers; Jennifer J Hu
Journal:  J Hum Genet       Date:  2008-07-08       Impact factor: 3.172

Review 3.  Hereditary determinants of human hypertension: strategies in the setting of genetic complexity.

Authors:  Pei-an Betty Shih; Daniel T O'Connor
Journal:  Hypertension       Date:  2008-04-14       Impact factor: 10.190

4.  Integrating Health Data-Driven Machine Learning Algorithms to Evaluate Risk Factors of Early Stage Hypertension at Different Levels of HDL and LDL Cholesterol.

Authors:  Pen-Chih Liao; Ming-Shu Chen; Mao-Jhen Jhou; Tsan-Chi Chen; Chih-Te Yang; Chi-Jie Lu
Journal:  Diagnostics (Basel)       Date:  2022-08-14

5.  Adhesion molecule polymorphisms and pulse wave velocity in American youth.

Authors:  Haidong Zhu; Weili Yan; Yuande Tan; Ke Li; Gaston Kapuku; Frank A Treiber; Shaoyong Su; Gregory A Harshfield; Harold Snieder; Yanbin Dong
Journal:  Twin Res Hum Genet       Date:  2008-10       Impact factor: 1.587

6.  Prostasin: a possible candidate gene for human hypertension.

Authors:  Haidong Zhu; Dehuang Guo; Ke Li; Weili Yan; Yuande Tan; Xiaoling Wang; Frank A Treiber; Julie Chao; Harold Snieder; Yanbin Dong
Journal:  Am J Hypertens       Date:  2008-06-26       Impact factor: 2.689

7.  Genetic influence on blood pressure and underlying hemodynamics measured at rest and during stress.

Authors:  Ting Wu; Frank A Treiber; Harold Snieder
Journal:  Psychosom Med       Date:  2013-04-10       Impact factor: 4.312

8.  Angiotensin type 1a receptor deficiency decreases amyloid β-protein generation and ameliorates brain amyloid pathology.

Authors:  Junjun Liu; Shuyu Liu; Yukino Matsumoto; Saki Murakami; Yusuke Sugakawa; Ayako Kami; Chiaki Tanabe; Tomoji Maeda; Makoto Michikawa; Hiroto Komano; Kun Zou
Journal:  Sci Rep       Date:  2015-07-08       Impact factor: 4.379

9.  Application of two machine learning algorithms to genetic association studies in the presence of covariates.

Authors:  Bareng A S Nonyane; Andrea S Foulkes
Journal:  BMC Genet       Date:  2008-11-14       Impact factor: 2.797

10.  Interactions between the adducin 2 gene and antihypertensive drug therapies in determining blood pressure in people with hypertension.

Authors:  Sharon L R Kardia; Yan V Sun; Sara C Hamon; Ruth Ann Barkley; Eric Boerwinkle; Stephen T Turner
Journal:  BMC Med Genet       Date:  2007-09-13       Impact factor: 2.103

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