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Genetic risk for myocardial infarction determined by polymorphisms of candidate genes in Japanese individuals
  1. Yoshiji Yamada (yamada{at}gene.mie-u.ac.jp)
  1. Life Science Research Center, Mie University, Japan
    1. Kimihiko Kato (p39802{at}govt.pref.gifu.jp)
    1. Gifu Prefectural Tajimi Hospital, Japan
      1. Mitsutoshi Oguri (p37313{at}govt.pref.gifu.jp)
      1. Gifu Prefectural Tajimi Hospital, Japan
        1. Tetsuo Fujimaki (tetsurie{at}muse.dti.ne.jp)
        1. Gifu Prefectural Tajimi Hospital, Japan
          1. Kiyoshi Yokoi (p88831{at}pref.gifu.lg.jp)
          1. Gifu Prefectural Tajimi Hospital, Japan
            1. Hitoshi Matsuo (hitomatsuo-circ{at}umin.ac.jp)
            1. Gifu Prefectural General Medical Center, Japan
              1. Sachiro Watanabe (watanabe-sachiro{at}pref.gifu.lg.jp)
              1. Gifu Prefectural General Medical Center, Japan
                1. Norifumi Metoki (n_metoki{at}hirosakistroke-c.jp)
                1. Hirosaki Stroke Center, Japan
                  1. Hidemi Yoshida (hidemiyo{at}cc.hirosaki-u.ac.jp)
                  1. Institute of Brain Science, Hirosaki University School of Medicine, Japan
                    1. Kei Satoh (byoutai{at}cc.hirosaki-u.ac.jp)
                    1. Institute of Brain Science, Hirosaki University School of Medicine, Japan
                      1. Sahoko Ichihara (saho{at}gene.mie-u.ac.jp)
                      1. Life Science Research Center, Mie University, Japan
                        1. Yukitoshi Aoyagi (aoyagi{at}tmig.or.jp)
                        1. Tokyo Metropolitan Institute of Gerontology, Japan
                          1. Akitomo Yasunaga (yasunaga{at}bunka.ac.jp)
                          1. Tokyo Metropolitan Institute of Gerontology, Japan
                            1. Hyuntae Park (tonypark{at}p.u-tokyo.ac.jp)
                            1. Tokyo Metropolitan Institute of Gerontology, Japan
                              1. Masashi Tanaka (mtanaka{at}tmig.or.jp)
                              1. Tokyo Metropolitan Institute of Gerontology, Japan
                                1. Yoshinori Nozawa (ynozawa{at}giib.or.jp)
                                1. Gifu International Institute of Biotechnology, Japan

                                  Abstract

                                  Background: Although several environmental factors influence the development of myocardial infarction, genetic factors have been shown to contribute to individual susceptibility to this condition. The aim of the present study was to identify gene polymorphisms that confer susceptibility to myocardial infarction in order to allow assessment of genetic risk for this condition. Methods: The study population comprised 3433 unrelated Japanese individuals (1931 men, 1502 women), including 1328 subjects with myocardial infarction (1036 men, 292 women) and 2105 controls (895 men, 1210 women). The genotypes for 40 polymorphisms of 31 candidate genes were determined with a method that combines the polymerase chain reaction and sequence-specific oligonucleotide probes with suspension array technology. Results: The chi-square test revealed that six polymorphisms were significantly (false discovery rate < 0.05) related to the prevalence of myocardial infarction. Further examination by multivariable logistic regression analysis with adjustment for age, sex, body mass index, and the prevalence of hypertension, diabetes mellitus, and hypercholesterolemia as well as by a stepwise forward selection procedure revealed that the A→C (Gln1334His) polymorphism (rs3742207) of the collagen, type IV, alpha-1 gene (COL4A1) and the A→G polymorphism (rs4804611) of the zinc finger protein 627 gene (ZNF627) were significantly (P < 0.05) associated with the prevalence of myocardial infarction. The variant C allele of COL4A1 was protective against myocardial infarction, whereas the variant G allele of ZNF627 represented a risk factor for this condition. Conclusions: Determination of genotypes for COL4A1 and ZNF627 may prove informative for assessment of the genetic risk for myocardial infarction.

                                  • COL4A1
                                  • ZNF627
                                  • genetics
                                  • myocardial infarction
                                  • polymorphism

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