Literature DB >> 9700201

Array-based multiplex analysis of candidate genes reveals two independent and additive genetic risk factors for myocardial infarction in the Finnish population.

T Pastinen1, M Perola, P Niini, J Terwilliger, V Salomaa, E Vartiainen, L Peltonen, A Syvänen.   

Abstract

We analysed common variants of eight genes implicated previously as risk factors for coronary heart disease or myocardial infarction (MI) in a cross-sectional study on patients with a history of MI and in carefully matched controls from the Finnish population. The most common low density lipoprotein receptor mutations in Finland were also included in our analysis. Multiplex genotyping of the target genes was performed using a specific and efficient array-based minisequencing system. The 4G allele of the plasminogen activator inhibitor gene (P < 0.05) and the PlA2 allele of the glycoprotein IIIa gene (P < 0.01) were associated with an increased risk of MI in our study population. We analysed the combined effect of these risk alleles and found that the concurrent carrier status of the two genetic variants conferred a high risk for the development of MI in our sample (OR = 4.5, P = 0.001), which was particularly prominent in male subjects (OR = 6.4, P = 0.0005). This study demonstrates the application of a new powerful tool for genome analysis to yield information on the inherited determinants of susceptibility to MI. The observation of two separate genes contributing an additive risk of developing MI exemplifies the advantages of multiplex analysis of genetic variation.

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Year:  1998        PMID: 9700201     DOI: 10.1093/hmg/7.9.1453

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  20 in total

1.  A multilocus genotyping assay for candidate markers of cardiovascular disease risk.

Authors:  S Cheng; M A Grow; C Pallaud; W Klitz; H A Erlich; S Visvikis; J J Chen; C R Pullinger; M J Malloy; G Siest; J P Kane
Journal:  Genome Res       Date:  1999-10       Impact factor: 9.043

2.  Y-chromosomal SNPs in Finno-Ugric-speaking populations analyzed by minisequencing on microarrays.

Authors:  M Raitio; K Lindroos; M Laukkanen; T Pastinen; P Sistonen; A Sajantila; A C Syvänen
Journal:  Genome Res       Date:  2001-03       Impact factor: 9.043

3.  A system for specific, high-throughput genotyping by allele-specific primer extension on microarrays.

Authors:  T Pastinen; M Raitio; K Lindroos; P Tainola; L Peltonen; A C Syvänen
Journal:  Genome Res       Date:  2000-07       Impact factor: 9.043

Review 4.  Strategies for signal amplification in nucleic acid detection.

Authors:  S C Andras; J B Power; E C Cocking; M R Davey
Journal:  Mol Biotechnol       Date:  2001-09       Impact factor: 2.695

5.  Minisequencing on oligonucleotide microarrays: comparison of immobilisation chemistries.

Authors:  K Lindroos; U Liljedahl; M Raitio; A C Syvänen
Journal:  Nucleic Acids Res       Date:  2001-07-01       Impact factor: 16.971

6.  Analysing the effect of candidate genes on complex traits: an application in multiple sclerosis.

Authors:  Tineke Hooper-van Veen; Johannes Berkhof; Chris H Polman; Bernard M J Uitdehaag
Journal:  Immunogenetics       Date:  2006-04-13       Impact factor: 2.846

7.  PAI-1 4G/5G polymorphism and coronary artery disease risk: a meta-analysis.

Authors:  Zhongshu Liang; Weihong Jiang; Mao Ouyang; Kan Yang
Journal:  Int J Clin Exp Med       Date:  2015-02-15

8.  Parallel genotyping of human SNPs using generic high-density oligonucleotide tag arrays.

Authors:  J B Fan; X Chen; M K Halushka; A Berno; X Huang; T Ryder; R J Lipshutz; D J Lockhart; A Chakravarti
Journal:  Genome Res       Date:  2000-06       Impact factor: 9.043

9.  Variation in ITGB3 has sex-specific associations with plasma lipoprotein(a) and whole blood serotonin levels in a population-based sample.

Authors:  Lauren A Weiss; Mark Abney; Rodney Parry; Angelo M Scanu; Edwin H Cook; Carole Ober
Journal:  Hum Genet       Date:  2005-04-15       Impact factor: 4.132

10.  Impact of hemostatic gene single point mutations in patients with non-diabetic coronary artery disease.

Authors:  Ahmet Var; Ozan Utük; Sinem Akçali; Tamer Sanlidağ; Bekir S Uyanik; Gönül Dinç
Journal:  Mol Biol Rep       Date:  2009-01-03       Impact factor: 2.316

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