Literature DB >> 22993627

Association of genetic variants with myocardial infarction in Japanese individuals with or without metabolic syndrome.

Toshiki Kawamiya1, Kimihiko Kato, Hideki Horibe, Kiyoshi Yokoi, Mitsutoshi Oguri, Tetsuro Yoshida, Tetsuo Fujimaki, Sachiro Watanabe, Kei Satoh, Yukitoshi Aoyagi, Yoshinori Nozawa, Toyoaki Murohara, Yoshiji Yamada.   

Abstract

The etiology of metabolic syndrome (MetS) is highly complex, with both genetic and environmental factors being thought to play an important role. Although MetS has been recognized as a risk factor for myocardial infarction (MI), the genetic risk for MI in individuals with or without MetS has remained uncharacterized. We examined a possible association of genetic variants with MI in individuals with or without MetS separately. The study population comprised 4,424 individuals, including 1,918 individuals with MetS (903 subjects with MI and 1,015 controls) and 2,506 individuals without MetS (499 subjects with MI and 2,007 controls). The 150 polymorphisms examined in the present study were selected by genome-wide association studies of MI and ischemic stroke with the use of Affymetrix GeneChip Human Mapping 500K Array Set. Initial screening by the Chi-square test revealed that the C→T polymorphism (rs1794429) of LRPAP1, the A→G polymorphism (rs12373237) of LAMA3 and the A→G polymorphism (rs3782257) of NCOR2 were significantly (false discovery rate of <0.05) associated with MI for individuals with MetS, and that the C→G polymorphism (rs13051704) of TFF1 was significantly related to MI for individuals without MetS. Subsequent multivariable logistic analysis with adjustment for covariates revealed that rs1794429 of LRPAP1 (recessive model; P=0.0218; odds ratio=0.71) and rs3782257 of NCOR2 (dominant model; P=0.0057; odds ratio=1.94) were significantly associated with MI among individuals with MetS, and that rs13051704 of TFF1 (additive model; P=0.0100; odds ratio=0.55) was significantly associated with MI among individuals without MetS. The genetic variants that confer susceptibility to MI differ between individuals with or without MetS. Stratification of subjects according to the presence or absence of MetS may thus be important for personalized prevention of MI based on genetic information.

Entities:  

Year:  2010        PMID: 22993627      PMCID: PMC3446751          DOI: 10.3892/etm.2010.147

Source DB:  PubMed          Journal:  Exp Ther Med        ISSN: 1792-0981            Impact factor:   2.447


  23 in total

1.  Identification of CELSR1 as a susceptibility gene for ischemic stroke in Japanese individuals by a genome-wide association study.

Authors:  Yoshiji Yamada; Noriyuki Fuku; Masashi Tanaka; Yukitoshi Aoyagi; Motoji Sawabe; Norifumi Metoki; Hidemi Yoshida; Kei Satoh; Kimihiko Kato; Sachiro Watanabe; Yoshinori Nozawa; Aki Hasegawa; Toshio Kojima
Journal:  Atherosclerosis       Date:  2009-04-05       Impact factor: 5.162

2.  The 39-kDa protein regulates LRP activity in cultured endothelial and smooth muscle cells.

Authors:  I Warshawsky; A L Schwartz
Journal:  Eur J Cell Biol       Date:  1996-02       Impact factor: 4.492

3.  Association of genetic variants in SEMA3F, CLEC16A, LAMA3, and PCSK2 with myocardial infarction in Japanese individuals.

Authors:  Tetsuo Fujimaki; Kimihiko Kato; Kiyoshi Yokoi; Mitsutoshi Oguri; Tetsuro Yoshida; Sachiro Watanabe; Norifumi Metoki; Hidemi Yoshida; Kei Satoh; Yukitoshi Aoyagi; Yoshinori Nozawa; Genjiro Kimura; Yoshiji Yamada
Journal:  Atherosclerosis       Date:  2009-12-05       Impact factor: 5.162

4.  Stoichiometric and steric principles governing repression by nuclear hormone receptors.

Authors:  I Zamir; J Zhang; M A Lazar
Journal:  Genes Dev       Date:  1997-04-01       Impact factor: 11.361

5.  Ligand-independent repression by the thyroid hormone receptor mediated by a nuclear receptor co-repressor.

Authors:  A J Hörlein; A M Näär; T Heinzel; J Torchia; B Gloss; R Kurokawa; A Ryan; Y Kamei; M Söderström; C K Glass
Journal:  Nature       Date:  1995-10-05       Impact factor: 49.962

6.  Metabolic syndrome and early-onset coronary artery disease: is the whole greater than its parts?

Authors:  Carlos Iribarren; Alan S Go; Gail Husson; Stephen Sidney; Joan M Fair; Thomas Quertermous; Mark A Hlatky; Stephen P Fortmann
Journal:  J Am Coll Cardiol       Date:  2006-10-17       Impact factor: 24.094

7.  Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study.

Authors:  Naveed Sattar; Allan Gaw; Olga Scherbakova; Ian Ford; Denis St J O'Reilly; Steven M Haffner; Chris Isles; Peter W Macfarlane; Chris J Packard; Stuart M Cobbe; James Shepherd
Journal:  Circulation       Date:  2003-07-14       Impact factor: 29.690

8.  Comparison of pioglitazone vs glimepiride on progression of coronary atherosclerosis in patients with type 2 diabetes: the PERISCOPE randomized controlled trial.

Authors:  Steven E Nissen; Stephen J Nicholls; Kathy Wolski; Richard Nesto; Stuart Kupfer; Alfonso Perez; Horacio Jure; Robert De Larochellière; Cezar S Staniloae; Kreton Mavromatis; Jacqueline Saw; Bo Hu; A Michael Lincoff; E Murat Tuzcu
Journal:  JAMA       Date:  2008-03-31       Impact factor: 56.272

9.  Variation in the lipoprotein receptor-related protein, alpha2-macroglobulin and lipoprotein receptor-associated protein genes in relation to plasma lipid levels and risk of early myocardial infarction.

Authors:  Pelayo González; Ruth Alvarez; Julián R Reguero; Alberto Batalla; Victoria Alvarez; Arturo Cortina; Gustavo I Cubero; Mónica García-Castro; Eliecer Coto
Journal:  Coron Artery Dis       Date:  2002-08       Impact factor: 1.439

10.  Expression of LDL receptor-related protein/alpha 2-macroglobulin receptor in human normal and atherosclerotic arteries.

Authors:  F Lupu; D Heim; F Bachmann; E K Kruithof
Journal:  Arterioscler Thromb       Date:  1994-09
View more
  1 in total

1.  Integrative computational and experimental approaches to establish a post-myocardial infarction knowledge map.

Authors:  Nguyen T Nguyen; Xiaolin Zhang; Cathy Wu; Richard A Lange; Robert J Chilton; Merry L Lindsey; Yu-Fang Jin
Journal:  PLoS Comput Biol       Date:  2014-03-20       Impact factor: 4.475

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.