Literature DB >> 18077766

Genetic risk for myocardial infarction determined by polymorphisms of candidate genes in a Japanese population.

Y Yamada1, K Kato, M Oguri, T Fujimaki, K Yokoi, H Matsuo, S Watanabe, N Metoki, H Yoshida, K Satoh, S Ichihara, Y Aoyagi, A Yasunaga, H Park, M Tanaka, Y Nozawa.   

Abstract

BACKGROUND: Although several environmental factors influence the development of myocardial infarction (MI), genetic factors have been shown to contribute to individual susceptibility to this condition.
OBJECTIVE: To identify gene polymorphisms that confer susceptibility to MI in order to allow assessment of genetic risk for this condition.
METHODS: 3433 unrelated Japanese people (1931 men, 1502 women) were entered into the study. These comprised 1328 subjects with MI (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 PCR and sequence-specific oligonucleotide probes with suspension array technology.
RESULTS: The chi(2) test revealed that six polymorphisms were significantly (false discovery rate <0.05) related to the prevalence of MI. Further examination by multivariable logistic regression analysis with adjustment for age, sex, body mass index and the prevalence of hypertension, diabetes mellitus and hypercholesterolaemia, in addition to a stepwise forward selection procedure found 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 MI. The variant C allele of COL4A1 was protective against MI, 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 MI.

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Year:  2007        PMID: 18077766     DOI: 10.1136/jmg.2007.054387

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


  13 in total

1.  Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction.

Authors:  Christopher J O'Donnell; Maryam Kavousi; Albert V Smith; Sharon L R Kardia; Mary F Feitosa; Shih-Jen Hwang; Yan V Sun; Michael A Province; Thor Aspelund; Abbas Dehghan; Udo Hoffmann; Lawrence F Bielak; Qunyuan Zhang; Gudny Eiriksdottir; Cornelia M van Duijn; Caroline S Fox; Mariza de Andrade; Aldi T Kraja; Sigurdur Sigurdsson; Suzette E Elias-Smale; Joanne M Murabito; Lenore J Launer; Aad van der Lugt; Sekar Kathiresan; Gabriel P Krestin; David M Herrington; Timothy D Howard; Yongmei Liu; Wendy Post; Braxton D Mitchell; Jeffrey R O'Connell; Haiqing Shen; Alan R Shuldiner; David Altshuler; Roberto Elosua; Veikko Salomaa; Stephen M Schwartz; David S Siscovick; Benjamin F Voight; Joshua C Bis; Nicole L Glazer; Bruce M Psaty; Eric Boerwinkle; Gerardo Heiss; Stefan Blankenberg; Tanja Zeller; Philipp S Wild; Renate B Schnabel; Arne Schillert; Andreas Ziegler; Thomas F Münzel; Charles C White; Jerome I Rotter; Michael Nalls; Matthijs Oudkerk; Andrew D Johnson; Anne B Newman; Andre G Uitterlinden; Joseph M Massaro; Julie Cunningham; Tamara B Harris; Albert Hofman; Patricia A Peyser; Ingrid B Borecki; L Adrienne Cupples; Vilmundur Gudnason; Jacqueline C M Witteman
Journal:  Circulation       Date:  2011-12-05       Impact factor: 29.690

2.  Isolation and analysis of genes mainly expressed in adult mouse heart using subtractive hybridization cDNA library.

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Journal:  Mol Biol Rep       Date:  2012-04-29       Impact factor: 2.316

3.  Polymorphisms of COL4A1 gene are associated with arterial pulse wave velocity in healthy Han Chinese and Uygur subjects.

Authors:  Dilare Adi; Xiang Xie; Yang Xiang; Yi-Tong Ma; Yi-Ning Yang; Zhen-Yan Fu; Xiao-Mei Li; Fen Liu; Bang-Dang Chen
Journal:  Int J Clin Exp Med       Date:  2015-02-15

4.  Association of COL4A1 (rs605143, rs565470) and CD14 (rs2569190) genes polymorphism with coronary artery disease.

Authors:  Syed Tasleem Raza; Shania Abbas; Ale Eba; Fazal Karim; Irshad Ahmad Wani; Saliha Rizvi; Alina Zaidi; Farzana Mahdi
Journal:  Mol Cell Biochem       Date:  2018-01-03       Impact factor: 3.396

5.  Molecular genetics of myocardial infarction.

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

6.  COL4A1 is associated with arterial stiffness by genome-wide association scan.

Authors:  Kirill V Tarasov; Serena Sanna; Angelo Scuteri; James B Strait; Marco Orrù; Afshin Parsa; Ping-I Lin; Andrea Maschio; Sandra Lai; Maria Grazia Piras; Marco Masala; Toshiko Tanaka; Wendy Post; Jeffrey R O'Connell; David Schlessinger; Antonio Cao; Ramaiah Nagaraja; Braxton D Mitchell; Gonçalo R Abecasis; Alan R Shuldiner; Manuela Uda; Edward G Lakatta; Samer S Najjar
Journal:  Circ Cardiovasc Genet       Date:  2009-02-18

7.  The SNP rs4804611 in ZNF627 gene and the risk of myocardial infarction: a meta-analysis.

Authors:  Nan Wu; Xiaowen Zhang; Pengyu Jia; Dalin Jia
Journal:  Int J Clin Exp Med       Date:  2015-04-15

8.  Association of COL4A1 genetic polymorphisms with coronary artery disease in Uygur population in Xinjiang, China.

Authors:  Dilare Adi; Xiang Xie; Yi-Tong Ma; Zhen-Yan Fu; Yi-Ning Yang; Xiao-Mei Li; Yang Xiang; Fen Liu; Bang-Dang Chen
Journal:  Lipids Health Dis       Date:  2013-10-25       Impact factor: 3.876

9.  Whole Exome Sequencing to Identify Genetic Variants Associated with Raised Atherosclerotic Lesions in Young Persons.

Authors:  James E Hixson; Goo Jun; Lawrence C Shimmin; Yizhi Wang; Guoqiang Yu; Chunhong Mao; Andrew S Warren; Timothy D Howard; Richard S Vander Heide; Jennifer Van Eyk; Yue Wang; David M Herrington
Journal:  Sci Rep       Date:  2017-06-22       Impact factor: 4.379

10.  Material-driven fibronectin assembly rescues matrix defects due to mutations in collagen IV in fibroblasts.

Authors:  Elie Ngandu Mpoyi; Marco Cantini; Yuan Yan Sin; Lauren Fleming; Dennis W Zhou; Mercedes Costell; Yinhui Lu; Karl Kadler; Andrés J García; Tom Van Agtmael; Manuel Salmeron-Sanchez
Journal:  Biomaterials       Date:  2020-05-03       Impact factor: 12.479

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