Literature DB >> 17145981

Angiotensinogen M235T and T174M gene polymorphisms in combination doubles the risk of mortality in heart failure.

Anna P Pilbrow1, Barry R Palmer, Chris M Frampton, Tim G Yandle, Richard W Troughton, Elizabeth Campbell, Lorraine Skelton, John G Lainchbury, A Mark Richards, Vicky A Cameron.   

Abstract

Angiotensinogen M235T and T174M polymorphisms have individually been associated with elevated levels of plasma angiotensinogen, hypertension, and left ventricular hypertrophy. In this study, heart failure patients (n=451) were genotyped for the angiotensinogen M235T and T174M polymorphisms to investigate association with survival (recorded over 4 years of follow-up) and prognostic hormone markers. Patients carrying the 235TT genotype (n=86) were 3 years younger at admission (P=0.011), and, in those with hypertension, diagnosis was made approximately 10 years earlier than other patients. Patients carrying >or=1 174M allele (n=94) were more likely to have a previous history of heart failure (P=0.044) and increased mortality during follow-up (risk ratio: 1.69, 95% CI: 1.03 to 2.79; P=0.038) compared with 174TT homozygotes (n=355), despite having a higher left ventricular ejection fraction (P=0.009). "High-risk" genotype combinations (defined a priori as 235TT and/or >or=1 174M allele; n=144; 32%) were independently predictive of mortality, conferring a 2-fold greater risk of dying during the follow-up period (odds ratio: 2.0; 95% CI: 1.3 to 3.0; P=0.001). This study suggested that angiotensinogen gene variants M235T and T174M may provide prognostic information for long-term survival in heart failure patients.

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Year:  2006        PMID: 17145981     DOI: 10.1161/01.HYP.0000253061.30170.68

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


  16 in total

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Review 9.  Genetics and pharmacogenetics in heart failure.

Authors:  Eric M Snyder; Thomas P Olson; Bruce D Johnson
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Review 10.  Obesity genetics and cardiometabolic health: Potential for risk prediction.

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