Literature DB >> 18239384

Renin-angiotensin system gene polymorphisms and atrial fibrillation: a regression approach for the detection of gene-gene interactions in a large hospitalized population.

Chia-Ti Tsai1, Juey-Jen Hwang, Fu-Tien Chiang, Yi-Chih Wang, Chuen-Den Tseng, Yung-Zu Tseng, Jiunn-Lee Lin.   

Abstract

OBJECTIVES: To test the association between renin-angiotensin system gene variants and atrial fibrillation (AF) using a regression approach.
METHODS: A total of 1,236 consecutive patients (227 with AF and 1,009 with normal sinus rhythm as controls) were recruited. Angiotensin-converting enzyme (ACE) gene I/D polymorphism; T174M, M235T, G-6A, A-20C, G-152A and G-217A polymorphisms of the angiotensinogen (AGT) gene, and A1166C polymorphism of the angiotensin II type I receptor (AT1R) gene were genotyped. We used a regression approach based on a generalized linear model to evaluate haplotype effects and to detect gene-gene interactions by incorporating interaction terms in the model.
RESULTS: In single-locus analyses, no locus was associated with AF. After adjustment for AF risk factors, we found significant differences in the global AGT gene haplotype profile (the global score statistic = 30.364, p = 0.001) and individual haplotype frequencies between AF patients and controls. Furthermore, significant 2-way gene-gene interactions between ACE I/D polymorphism and AGT gene haplotypes and between AT1R A1166C polymorphism and AGT gene haplotypes, and 3-way interaction between ACE I/D, AT1R A1166C and AGT gene haplotypes were detected.
CONCLUSIONS: These results are compatible with the concept of multilocus and multigene effects in determining the risk of complex diseases such as AF, which would be missed with conventional single-locus approaches. (c) 2008 S. Karger AG, Basel.

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Year:  2008        PMID: 18239384     DOI: 10.1159/000113419

Source DB:  PubMed          Journal:  Cardiology        ISSN: 0008-6312            Impact factor:   1.869


  8 in total

Review 1.  Genetics of atrial fibrillation.

Authors:  Steven A Lubitz; B Alexander Yi; Patrick T Ellinor
Journal:  Heart Fail Clin       Date:  2010-04       Impact factor: 3.179

Review 2.  Monogenic atrial fibrillation as pathophysiological paradigms.

Authors:  Saagar Mahida; Steven A Lubitz; Michiel Rienstra; David J Milan; Patrick T Ellinor
Journal:  Cardiovasc Res       Date:  2010-11-30       Impact factor: 10.787

3.  ACE I/D polymorphism associated with abnormal atrial and atrioventricular conduction in lone atrial fibrillation and structural heart disease: implications for electrical remodeling.

Authors:  Hiroshi Watanabe; Daniel W Kaiser; Seiko Makino; Calum A MacRae; Patrick T Ellinor; Brian S Wasserman; Prince J Kannankeril; Brian S Donahue; Dan M Roden; Dawood Darbar
Journal:  Heart Rhythm       Date:  2009-05-15       Impact factor: 6.343

Review 4.  Genetics of atrial fibrillation.

Authors:  Steven A Lubitz; B Alexander Yi; Patrick T Ellinor
Journal:  Cardiol Clin       Date:  2009-02       Impact factor: 2.213

5.  Genetic Discoveries in Atrial Fibrillation and Implications for Clinical Practice.

Authors:  Saagar Mahida
Journal:  Arrhythm Electrophysiol Rev       Date:  2014-08-30

6.  Polymorphisms of renin-angiotensin-aldosterone system gene in chinese han patients with nonfamilial atrial fibrillation.

Authors:  Li-Qun Zhao; Zu-Jia Wen; Yong Wei; Juan Xu; Zheng Chen; Bao-Zhen Qi; Zhimin Wang; Zhi-Ming Wang; Yong-Yong Shi; Shao-Wen Liu
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

7.  A random forest approach to the detection of epistatic interactions in case-control studies.

Authors:  Rui Jiang; Wanwan Tang; Xuebing Wu; Wenhui Fu
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

8.  Genome-wide screening identifies a KCNIP1 copy number variant as a genetic predictor for atrial fibrillation.

Authors:  Chia-Ti Tsai; Chia-Shan Hsieh; Sheng-Nan Chang; Eric Y Chuang; Kwo-Chang Ueng; Chin-Feng Tsai; Tsung-Hsien Lin; Cho-Kai Wu; Jen-Kuang Lee; Lian-Yu Lin; Yi-Chih Wang; Chih-Chieh Yu; Ling-Ping Lai; Chuen-Den Tseng; Juey-Jen Hwang; Fu-Tien Chiang; Jiunn-Lee Lin
Journal:  Nat Commun       Date:  2016-02-02       Impact factor: 14.919

  8 in total

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