Literature DB >> 25738804

Association of six genetic variants with myocardial infarction.

Reiko Matsuoka1, Shintaro Abe1, Fumitaka Tokoro1, Masazumi Arai1, Toshiyuki Noda1, Sachiro Watanabe1, Hideki Horibe2, Tetsuo Fujimaki3, Mitsutoshi Oguri4, Kimihiko Kato5, Shinya Minatoguchi6, Yoshiji Yamada7.   

Abstract

Although various genes that confer susceptibility to myocardial infarction (MI) have been identified for Caucasian populations in genome-wide association studies (GWAS), genetic variants related to this condition in Japanese individuals have not been identified definitively. The aim of the present study was to examine an association of MI in Japanese individuals with 29 polymorphisms identified as susceptibility loci for MI or coronary artery disease in Caucasian populations by meta-analyses of GWAS. The study subjects comprised 1,824 subjects with MI and 2,329 controls. Genotypes of the polymorphisms were determined by Luminex bead-based multiplex assay. To compensate for multiple comparisons, we adopted the criterion of a false discovery rate (FDR) of <0.05 for statistical significance for association. Comparisons of allele frequencies by the χ(2) test revealed that rs9369640 of the phosphatase and actin regulator 1 gene (PHACTR1, FDR=0.0007), rs4977574 of the CDKN2B antisense RNA 1 gene (CDKN2B-AS1, FDR=0.0038), rs264 of the lipoprotein lipase gene (LPL, FDR=0.0061), rs599839 of the proline/serine-rich coiled-coil 1 gene (PSRC1, FDR=0.0118), rs9319428 of the fms-related tyrosine kinase 1 gene (FLT1, FDR=0.0118) and rs12413409 of the cyclin and CBS domain divalent metal cation transport mediator 2 gene (CNNM2, FDR=0.0300) were significantly associated with MI. Multivariate logistic regression analysis with adjustment for covariates revealed that rs9369640 (P=0.0005; odds ratio, 0.89), rs4977574 (P=0.0001; odds ratio, 1.50), rs264 (P=0.0405; odds ratio, 0.85), rs599839 (P=0.0003; odds ratio, 0.68), rs9319428 (P=0.0155; odds ratio, 1.20) and rs12413409 (P=0.0076; odds ratio, 0.66) were significantly (P<0.05) associated with MI. PHACTR1, CDKN2B-AS1, LPL, PSRC1, FLT1 and CNNM2 may thus be susceptibility loci for MI in Japanese individuals.

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Year:  2015        PMID: 25738804     DOI: 10.3892/ijmm.2015.2115

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


  24 in total

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Journal:  Biomed Rep       Date:  2015-06-29

3.  Association of TOMM40 and SLC22A4 polymorphisms with ischemic stroke.

Authors:  Yuichiro Yamase; Hideki Horibe; Chikara Ueyama; Tetsuo Fujimaki; Mitsutoshi Oguri; Kimihiko Kato; Masazumi Arai; Sachiro Watanabe; Yoshiji Yamada
Journal:  Biomed Rep       Date:  2015-04-29

4.  A common NHE3 single-nucleotide polymorphism has normal function and sensitivity to regulatory ligands.

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5.  Association of genetic variants with atrial fibrillation.

Authors:  Yuichiro Yamase; Kimihiko Kato; Hideki Horibe; Chikara Ueyama; Tetsuo Fujimaki; Mitsutoshi Oguri; Masazumi Arai; Sachiro Watanabe; Toyoaki Murohara; Yoshiji Yamada
Journal:  Biomed Rep       Date:  2015-12-02

6.  LncRNA CDKN2B-AS1 Promotes Cell Viability, Migration, and Invasion of Hepatocellular Carcinoma via Sponging miR-424-5p.

Authors:  Xinying Shen; Yong Li; Fan He; Jian Kong
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8.  The phenotypic and genetic spectrum of patients with heterozygous mutations in cyclin M2 (CNNM2).

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Journal:  Hum Mutat       Date:  2021-03-01       Impact factor: 4.878

9.  The Early-Onset Myocardial Infarction Associated PHACTR1 Gene Regulates Skeletal and Cardiac Alpha-Actin Gene Expression.

Authors:  Annina Kelloniemi; Zoltan Szabo; Raisa Serpi; Juha Näpänkangas; Pauli Ohukainen; Olli Tenhunen; Leena Kaikkonen; Elina Koivisto; Zsolt Bagyura; Risto Kerkelä; Margret Leosdottir; Thomas Hedner; Olle Melander; Heikki Ruskoaho; Jaana Rysä
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

10.  New findings in the roles of Cyclin-dependent Kinase inhibitors 2B Antisense RNA 1 (CDKN2B-AS1) rs1333049 G/C and rs4977574 A/G variants on the risk to coronary heart disease.

Authors:  Wei Yuan; Wei Zhang; Wei Zhang; Zhong-Bao Ruan; Li Zhu; Yu Liu; Yuan-Yuan Mi; Li-Feng Zhang
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

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