Literature DB >> 20230274

Polymorphisms in the ACE and ADRB2 genes and risks of aging-associated phenotypes: the case of myocardial infarction.

Alexander M Kulminski1, Irina V Culminskaya, Svetlana V Ukraintseva, Konstantin G Arbeev, Igor Akushevich, Kenneth C Land, Anatoli I Yashin.   

Abstract

Multiple functions of the beta2-adrenergic receptor (ADRB2) and angiotensin-converting enzyme (ACE) genes warrant studies of their associations with aging-related phenotypes. We focus on multimarker analyses and analyses of the effects of compound genotypes of two polymorphisms in the ADRB2 gene, rs1042713 and rs1042714, and 11 polymorphisms of the ACE gene, on the risk of such an aging-associated phenotype as myocardial infarction (MI). We used the data from a genotyped sample of the Framingham Heart Study Offspring (FHSO) cohort (n = 1500) followed for about 36 years with six examinations. The ADRB2 rs1042714 (C-->G) polymorphism and two moderately correlated (r(2) = 0.77) ACE polymorphisms, rs4363 (A-->G) and rs12449782 (A-->G), were significantly associated with risks of MI in this aging cohort in multimarker models. Predominantly linked ACE genotypes exhibited opposite effects on MI risks, e.g., the AA (rs12449782) genotype had a detrimental effect, whereas the predominantly linked AA (rs4363) genotype exhibited a protective effect. This trade-off occurs as a result of the opposite effects of rare compound genotypes of the ACE polymorphisms with a single dose of the AG heterozygote. This genetic trade-off is further augmented by the selective modulating effect of the rs1042714 ADRB2 polymorphism. The associations were not altered by adjustment for common MI risk factors. The results suggest that effects of single specific genetic variants of the ADRB2 and ACE genes on MI can be readily altered by gene-gene or/and gene-environmental interactions, especially in large heterogeneous samples. Multimarker genetic analyses should benefit studies of complex aging-associated phenotypes.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20230274      PMCID: PMC2944842          DOI: 10.1089/rej.2009.0905

Source DB:  PubMed          Journal:  Rejuvenation Res        ISSN: 1549-1684            Impact factor:   4.663


  37 in total

1.  Haploview: analysis and visualization of LD and haplotype maps.

Authors:  J C Barrett; B Fry; J Maller; M J Daly
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

Review 2.  An evolutionary framework for common diseases: the ancestral-susceptibility model.

Authors:  Anna Di Rienzo; Richard R Hudson
Journal:  Trends Genet       Date:  2005-09-08       Impact factor: 11.639

3.  An angiotensin converting enzyme haplotype predicts survival in patients with end stage renal disease.

Authors:  James B Wetmore; Kirsten L Johansen; Saunak Sen; Adriana M Hung; David H Lovett
Journal:  Hum Genet       Date:  2006-06-22       Impact factor: 4.132

4.  beta(2)-Adrenergic receptor polymorphisms and determinants of cardiovascular risk: the Cardiovascular Health Study.

Authors:  Lucia A Hindorff; Susan R Heckbert; Bruce M Psaty; Thomas Lumley; David S Siscovick; David M Herrington; Karen L Edwards; Russell P Tracy
Journal:  Am J Hypertens       Date:  2005-03       Impact factor: 2.689

5.  Excess deaths associated with underweight, overweight, and obesity.

Authors:  Katherine M Flegal; Barry I Graubard; David F Williamson; Mitchell H Gail
Journal:  JAMA       Date:  2005-04-20       Impact factor: 56.272

6.  A cladistic model of ACE sequence variation with implications for myocardial infarction, Alzheimer disease and obesity.

Authors:  Hagit Katzov; Anna M Bennet; Patrick Kehoe; Björn Wiman; Margaret Gatz; Kaj Blennow; Boris Lenhard; Nancy L Pedersen; Ulf de Faire; Jonathan A Prince
Journal:  Hum Mol Genet       Date:  2004-09-14       Impact factor: 6.150

7.  Evidence, from combined segregation and linkage analysis, that a variant of the angiotensin I-converting enzyme (ACE) gene controls plasma ACE levels.

Authors:  L Tiret; B Rigat; S Visvikis; C Breda; P Corvol; F Cambien; F Soubrier
Journal:  Am J Hum Genet       Date:  1992-07       Impact factor: 11.025

8.  An insertion/deletion polymorphism in the angiotensin I-converting enzyme gene accounting for half the variance of serum enzyme levels.

Authors:  B Rigat; C Hubert; F Alhenc-Gelas; F Cambien; P Corvol; F Soubrier
Journal:  J Clin Invest       Date:  1990-10       Impact factor: 14.808

9.  Frequency of compound genotypes associated with beta-blocker efficacy in congestive heart failure.

Authors:  David E Lanfear; Sharon Marsh; Sharon Cresci; John A Spertus; Howard L McLeod
Journal:  Pharmacogenomics       Date:  2004-07       Impact factor: 2.533

10.  Phenotype-genotype association grid: a convenient method for summarizing multiple association analyses.

Authors:  Daniel Levy; Steven R DePalma; Emelia J Benjamin; Christopher J O'Donnell; Helen Parise; Joel N Hirschhorn; Ramachandran S Vasan; Seigo Izumo; Martin G Larson
Journal:  BMC Genet       Date:  2006-05-22       Impact factor: 2.797

View more
  14 in total

1.  Angiotensin-converting enzyme (ACE) genotypes and disability in hospitalized older patients.

Authors:  Davide Seripa; Giulia Paroni; Maria G Matera; Carolina Gravina; Carlo Scarcelli; Michele Corritore; Luigi P D'Ambrosio; Maria Urbano; Grazia D'Onofrio; Massimiliano Copetti; Patrick G Kehoe; Francesco Panza; Alberto Pilotto
Journal:  Age (Dordr)       Date:  2010-11-13

Review 2.  Unraveling genetic origin of aging-related traits: evolving concepts.

Authors:  Alexander M Kulminski
Journal:  Rejuvenation Res       Date:  2013-08       Impact factor: 4.663

3.  Beta2-adrenergic receptor gene polymorphisms as systemic determinants of healthy aging in an evolutionary context.

Authors:  Alexander M Kulminski; Irina Culminskaya; Svetlana V Ukraintseva; Konstantin G Arbeev; Kenneth C Land; Anatoli I Yashin
Journal:  Mech Ageing Dev       Date:  2010-04-24       Impact factor: 5.432

4.  How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Deqing Wu; Liubov Arbeeva; Alexander Kulminski; Irina Kulminskaya; Igor Akushevich; Svetlana V Ukraintseva
Journal:  N Am Actuar J       Date:  2016-06-22

5.  Klotho locus, metabolic traits, and serum hemoglobin in hospitalized older patients: a genetic association analysis.

Authors:  Giulia Paroni; Davide Seripa; Francesco Panza; Filomena Addante; Massimiliano Copetti; Grazia D'Onofrio; Fabio Pellegrini; Luigi Fontana; Alberto Pilotto
Journal:  Age (Dordr)       Date:  2011-06-22

6.  Trade-off in the effect of the APOE gene on the ages at onset of cardiocascular disease and cancer across ages, gender, and human generations.

Authors:  Alexander M Kulminski; Irina Culminskaya; Konstantin G Arbeev; Svetlana V Ukraintseva; Liubov Arbeeva; Anatoli I Yashin
Journal:  Rejuvenation Res       Date:  2013-02       Impact factor: 4.663

7.  Trade-offs in the effects of the apolipoprotein E polymorphism on risks of diseases of the heart, cancer, and neurodegenerative disorders: insights on mechanisms from the Long Life Family Study.

Authors:  Alexander M Kulminski; Konstantin G Arbeev; Irina Culminskaya; Svetlana V Ukraintseva; Eric Stallard; Michael A Province; Anatoli I Yashin
Journal:  Rejuvenation Res       Date:  2015-04       Impact factor: 4.663

Review 8.  Brain renin-angiotensin system in the nexus of hypertension and aging.

Authors:  Amy C Arnold; Patricia E Gallagher; Debra I Diz
Journal:  Hypertens Res       Date:  2012-10-18       Impact factor: 3.872

9.  A Common Polymorphism of the Human Cardiac Sodium Channel Alpha Subunit (SCN5A) Gene Is Associated with Sudden Cardiac Death in Chronic Ischemic Heart Disease.

Authors:  Boglárka Marcsa; Réka Dénes; Krisztina Vörös; Gergely Rácz; Mária Sasvári-Székely; Zsolt Rónai; Klára Törő; Gergely Keszler
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

10.  Correlation in gene expression between the aggravation of chronic obstructive pulmonary disease and the occurrence of complications.

Authors:  Yuchen Cai; Runhan Liu; Xinhe Lu; Qiming Zhang; Xinwei Wang; Huijing Lian; Haohua Wang
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.