Literature DB >> 21031128

Genetic causes of myocardial infarction: new insights from genome-wide association studies.

Jeanette Erdmann1, Patrick Linsel-Nitschke, Heribert Schunkert.   

Abstract

BACKGROUND: A positive family history for myocardial infarction (MI) is known to be a major cardiovascular risk factor. The current European guidelines therefore recommend intensified primary prevention for the siblings and children of persons who have had an MI. Although the genes underlying the heritable component of MI were largely unknown previously, the development of new molecular genetic methods, and particularly the advent of genome-wide association (GWA) studies, has led to the discovery of numerous genetic variants that are associated with an elevated risk of MI.
METHODS: In this article, we review GWA studies on MI and coronary heart disease (CHD) that were retrieved by a selective literature search from 2007 onward. We comment on their implications for clinical practice.
RESULTS: In the last three years, GWA studies have enabled the identification of many alleles that confer a higher risk of MI. A total of eleven chromosomal regions have been replicated and associated with the disease, and their functional significance has been studied. Furthermore, it has been shown that some of the manifestations of CHD, e.g., calcification, ectasia and main-stem stenosis, are more strongly inherited than others.
CONCLUSION: The results of recent GWA studies for MI and CHD will aid in individual risk prediction for MI by molecular biological means. They will also permit the development of new approaches to research on the pathophysiology of myocardial infarction.

Entities:  

Mesh:

Year:  2010        PMID: 21031128      PMCID: PMC2965371          DOI: 10.3238/arztebl.2010.0694

Source DB:  PubMed          Journal:  Dtsch Arztebl Int        ISSN: 1866-0452            Impact factor:   5.594


  23 in total

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8.  Mutation of MEF2A in an inherited disorder with features of coronary artery disease.

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9.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.

Authors: 
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Review 5.  Type 2 diabetes: prevalence and relevance of genetic and acquired factors for its prediction.

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