Literature DB >> 17143557

Association of gene polymorphisms with myocardial infarction in individuals with or without conventional coronary risk factors.

Kohta Nishihama1, Yoshiji Yamada, Hitoshi Matsuo, Tomonori Segawa, Sachiro Watanabe, Kimihiko Kato, Kazuhiro Yajima, Takeshi Hibino, Kiyoshi Yokoi, Sahoko Ichihara, Norifumi Metoki, Hidemi Yoshida, Kei Satoh, Yoshinori Nozawa.   

Abstract

The purpose of the present study was to assess the genetic risk for myocardial infarction (MI) in individuals with or without conventional coronary risk factors and thereby to contribute to the personalized prevention of MI in such individuals. The study population comprised 3483 unrelated Japanese individuals (1913 men, 1570 women). The 1192 subjects with MI (926 men, 266 women) and 2291 controls (987 men, 1304 women) either had or did not have conventional coronary risk factors, including hypertension, hypercholesterolemia, and diabetes mellitus. The genotypes for 164 polymorphisms of 137 candidate genes were determined by a method that combines the polymerase chain reaction and sequence-specific oligonucleotide probes with suspension array technology. Multivariable logistic regression analysis and a stepwise forward selection procedure revealed that nine different polymorphisms were significantly (P<0.005) associated with MI among individuals with or without hypertension, hypercholesterolemia, or diabetes mellitus: 1018Cright curved arrow T of GP1BA, -108/3Gright curved arrow 4G of IPF1, 677Cright curved arrow T of MTHFR, and Gright curved arrow A of UTS2 in hypertensive individuals; 2445Gright curved arrow A of FABP2, -108/3Gright curved arrow 4G of IPF1, 677Cright curved arrow T of MTHFR, -11,377Cright curved arrow G of ACDC, Aright curved arrow G of AKAP10, 11,496Gright curved arrow A of F7, and 46Cright curved arrow T of F12 in individuals without hypercholesterolemia; 2445Gright curved arrow A of FABP2 in diabetic individuals; and -108/3Gright curved arrow 4G of IPF1 in nondiabetic individuals. Polymorphisms associated with MI may thus differ among individuals with different conventional coronary risk factors. Stratification of subjects on the basis of such risk factors may thus be important in order to achieve personalized prevention of MI with the use of genetic information.

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Year:  2007        PMID: 17143557

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  9 in total

1.  AKAP10 (I646V) functional polymorphism predicts heart rate and heart rate variability in apparently healthy, middle-aged European-Americans.

Authors:  Serina A Neumann; Whittemore G Tingley; Bruce R Conklin; Catherine J Shrader; Eloise Peet; Matthew F Muldoon; J Richard Jennings; Robert E Ferrell; Stephen B Manuck
Journal:  Psychophysiology       Date:  2009-05       Impact factor: 4.016

2.  Association of deoxyribonuclease I genetic polymorphisms with myocardial infarction in Han Chinese.

Authors:  Yuhua Ni; Jianjun Zhang
Journal:  Mol Biol Rep       Date:  2008-03-03       Impact factor: 2.316

3.  Structure of D-AKAP2:PKA RI complex: insights into AKAP specificity and selectivity.

Authors:  Ganapathy N Sarma; Francis S Kinderman; Choel Kim; Sventja von Daake; Lirong Chen; Bi-Cheng Wang; Susan S Taylor
Journal:  Structure       Date:  2010-02-10       Impact factor: 5.006

4.  A closer look at the role of urotensin II in the metabolic syndrome.

Authors:  Pierre-Olivier Barrette; Adel Giaid Schwertani
Journal:  Front Endocrinol (Lausanne)       Date:  2012-12-28       Impact factor: 5.555

5.  Association analysis of urotensin II gene (UTS2) and flanking regions with biochemical parameters related to insulin resistance.

Authors:  María E Sáez; Tarik Smani; Reposo Ramírez-Lorca; Ignacio Díaz; Manuel Serrano-Ríos; Agustín Ruiz; Antonio Ordoñez
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

6.  APOE and FABP2 Polymorphisms and History of Myocardial Infarction, Stroke, Diabetes, and Gallbladder Disease.

Authors:  Ikuko Kato; Susan Land; Jill Barnholtz-Sloan; Richard K Severson
Journal:  Cholesterol       Date:  2011-09-18

Review 7.  Cardiac cAMP-PKA Signaling Compartmentalization in Myocardial Infarction.

Authors:  Anne-Sophie Colombe; Guillaume Pidoux
Journal:  Cells       Date:  2021-04-16       Impact factor: 6.600

8.  D-AKAP2 interacts with Rab4 and Rab11 through its RGS domains and regulates transferrin receptor recycling.

Authors:  Christopher T Eggers; Jenny C Schafer; James R Goldenring; Susan S Taylor
Journal:  J Biol Chem       Date:  2009-09-21       Impact factor: 5.157

Review 9.  Polymorphisms/Mutations in A-Kinase Anchoring Proteins (AKAPs): Role in the Cardiovascular System.

Authors:  Santosh V Suryavanshi; Shweta M Jadhav; Bradley K McConnell
Journal:  J Cardiovasc Dev Dis       Date:  2018-01-25
  9 in total

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