Literature DB >> 16894468

Assessment of genetic risk for myocardial infarction.

Yoshiji Yamada1, Hitoshi Matsuo, Tomonori Segawa, Sachiro Watanabe, Kimihiko Kato, Takeshi Hibino, Kiyoshi Yokoi, Sahoko Ichihara, Norifumi Metoki, Hidemi Yoshida, Kei Satoh, Yoshinori Nozawa.   

Abstract

Although lifestyle and environmental factors influence the prevalence of myocardial infarction, genetic epidemiological studies have suggested that several genetic variants increase the risk for this condition. We have performed a large-scale association study to identify gene polymorphisms for reliable assessment of the genetic risk of myocardial infarction. The study population comprised 3,483 unrelated Japanese individuals (1,913 men; 1,570 women), including 1,192 subjects with myocardial infarction and 2,291 controls. The genotypes for 164 polymorphisms of 137 candidate genes were determined with an oligonucleotide ligation assay based on analysis of fluorescent microspheres with suspension array technology. Multivariable logistic regression analysis with adjustment for age, sex, body mass index, and the prevalence of smoking, hypertension, diabetes mellitus, and hypercholesterolemia revealed that the 677C-->T (Ala222Val) polymorphism of MTHFR, the 1595C-->G (Ser447Stop) polymorphism of LPL, and the -108/3G-->4G polymorphism of IPF1 were significantly associated with the prevalence of myocardial infarction. A stepwise forward selection procedure demonstrated that IPF1, MTHFR, and LPL genotypes significantly affected the prevalence of myocardial infarction. Combined genotype analysis of these polymorphisms yielded a maximum odds ratio of 2.54 for the combined genotype of TT for MTHFR, CC for LPL, and 3G3G for IPF1. The genotypes for MTHFR, LPL, and IPF1 may prove reliable for assessment of genetic risk for myocardial infarction. Determination of the combined genotype for these genes may contribute to primary, personalized prevention of this condition.

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Year:  2006        PMID: 16894468

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  15 in total

1.  Mitochondrial haplogroup N9b is protective against myocardial infarction in Japanese males.

Authors:  Yutaka Nishigaki; Yoshiji Yamada; Noriyuki Fuku; Hitoshi Matsuo; Tomonori Segawa; Sachiro Watanabe; Kimihiko Kato; Kiyoshi Yokoi; Sachiyo Yamaguchi; Yoshinori Nozawa; Masashi Tanaka
Journal:  Hum Genet       Date:  2006-10-11       Impact factor: 4.132

2.  Association of genetic variants of the α-kinase 1 gene with type 2 diabetes mellitus in a longitudinal population-based genetic epidemiological study.

Authors:  Yoshiji Yamada; Kota Matsui; Ichiro Takeuchi; Mitsutoshi Oguri; Tetsuo Fujimaki
Journal:  Biomed Rep       Date:  2015-03-02

3.  Association of genetic variants with coronary artery disease and ischemic stroke in a longitudinal population-based genetic epidemiological study.

Authors:  Yoshiji Yamada; Kota Matsui; Ichiro Takeuchi; Tetsuo Fujimaki
Journal:  Biomed Rep       Date:  2015-03-02

4.  Interrelationships among the MTHFR 677C>T polymorphism, migraine, and cardiovascular disease.

Authors:  Markus Schürks; Robert Y L Zee; Julie E Buring; Tobias Kurth
Journal:  Neurology       Date:  2008-07-30       Impact factor: 9.910

5.  Lipoprotein-associated phospholipase A(2) and risk of coronary disease, stroke, and mortality: collaborative analysis of 32 prospective studies.

Authors:  Alexander Thompson; Pei Gao; Lia Orfei; Sarah Watson; Emanuele Di Angelantonio; Stephen Kaptoge; Christie Ballantyne; Christopher P Cannon; Michael Criqui; Mary Cushman; Albert Hofman; Chris Packard; Simon G Thompson; Rory Collins; John Danesh
Journal:  Lancet       Date:  2010-05-01       Impact factor: 79.321

6.  Molecular genetics of myocardial infarction.

Authors:  Yoshiji Yamada; Sahoko Ichihara; Tamotsu Nishida
Journal:  Genomic Med       Date:  2008-08-14

7.  Lipoprotein lipase gene Hind III polymorphism was associated with hemorrhagic stroke.

Authors:  Wen-Sheng Zhang; Wen-Hua Zhang; Qi-Ji Liu
Journal:  Int J Clin Exp Med       Date:  2015-06-15

8.  Survival bias and drug interaction can attenuate cross-sectional case-control comparisons of genes with health outcomes. An example of the kinesin-like protein 6 (KIF6) Trp719Arg polymorphism and coronary heart disease.

Authors:  Paul Williams; Lakshmana Pendyala; Robert Superko
Journal:  BMC Med Genet       Date:  2011-03-24       Impact factor: 2.103

9.  Association of genetic variants with dyslipidemia and chronic kidney disease in a longitudinal population-based genetic epidemiological study.

Authors:  Yoshiji Yamada; Kota Matsui; Ichiro Takeuchi; Tetsuo Fujimaki
Journal:  Int J Mol Med       Date:  2015-03-20       Impact factor: 4.101

10.  Gender differences in genetic risk profiles for cardiovascular disease.

Authors:  Kaisa Silander; Mervi Alanne; Kati Kristiansson; Olli Saarela; Samuli Ripatti; Kirsi Auro; Juha Karvanen; Sangita Kulathinal; Matti Niemelä; Pekka Ellonen; Erkki Vartiainen; Pekka Jousilahti; Janna Saarela; Kari Kuulasmaa; Alun Evans; Markus Perola; Veikko Salomaa; Leena Peltonen
Journal:  PLoS One       Date:  2008-10-31       Impact factor: 3.240

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