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Genetic variation in coronary heart disease and myocardial infarction: methodological overview and clinical evidence
1Herzzentrum Ludwigshafen, Germany. winkelmb@klilu.de
Insights
Understanding the genetic basis of coronary artery disease (CAD) and myocardial infarction (MI) remains challenging. Complex interactions between genetic variations and environmental factors contribute to these conditions, with most gene roles still unknown.
Area of Science:
- Cardiovascular Genetics
- Molecular Medicine
- Genomics
Background:
- Coronary artery disease (CAD) and myocardial infarction (MI) are complex genetic disorders influenced by intricate interactions between environmental factors and multiple genes.
- The precise molecular mechanisms underlying CAD and MI pathogenesis are not fully elucidated, despite extensive knowledge of risk factors.
Purpose of the Study:
- To review the current understanding of genetic variations contributing to CAD and MI.
- To highlight the challenges and limitations in identifying genes responsible for these complex cardiovascular diseases.
Main Methods:
- Review of genetic association studies and linkage analysis for identifying disease-related genes.
- Discussion of advancements in human genome sequencing and SNP identification, including genome-wide association studies (GWAS).
Main Results:
- Genetic variations in susceptibility genes, alongside environmental impact, form the basis of CAD/MI molecular mechanisms.
- Except for specific lipid gene polymorphisms (e.g., apolipoprotein E) and rare variations (e.g., LDL receptor), the role of most gene polymorphisms in CAD/MI is controversial or unknown.
- Progress in mapping and identifying genes for complex traits like CAD/MI has been modest despite technological advancements.
Conclusions:
- Dissecting the genetic architecture of CAD/MI as complex traits presents a significant challenge for 21st-century medical research.
- Lack of precise clinical phenotyping, functional characterization of gene variants, and the large number of undetected genes contribute to the slow progress.
Abstract:
The precise molecular mechanisrms that lead to coronary artery disease (CAD) and myocardial infarction (MI) are not understood, despite a wealth of knowledge on predisposing risk factors and pathomechanisms. CAD and MI are complex genetic diseases; neither the environment alone nor a single gene cause disease, but a mix of environmental and genetic factors lead to atherosclerosis of the coronary arteries and subsequent manifestation of clinical disease. The biological complexity of atherosclerotic disease results from unknown or unpredictable interactions of many genetic and environmental factors which, by themselves, have only been partially identified. According to current knowledge, genetic variations in causative or susceptihility genes form the basis of molecular mechanisms that, together with environmental impact, lead to CAD/MI and determine its clinical course. Linkage analysis, which follows 'disease' alleles in families, or genetic association in a population of unrelated individuals are tools used in the search for chromosomal loci and candidate genes that are involved in these complex diseases. Progress in sequencing and mapping of the human genorne and efforts to identify all of the expected one million single nucleotide polymorphisms (SNPs) expected to be present in mankind will allow new approaches such as genome-wide association studies. The contribution of the current state of knowledge on genetic variation in man towards the dissection of CAD/MI as complex traits is sobering. Raised expectations with regard to the power of molecular genetic studies as compared to the traditional pathophysiological experimental approaches, lack of precise clinical phenotyping, lack of functional characterisation of gene variants, and the vast number of yet undetected genes may provide some explanation. Except for certain polymorphisms in lipid genes (i.e., apolipoprotein E [apo E]) or rare genetic variations (i.e., LDL receptor), which have a causal effect on both the intermediate (LDL-cholesterol level in plasma) and the clinical phenotypes (CAD/MI), the role of most gene polymorphisms is controversial or unknown. Despite the enormous progress in sequencing the human genome and in molecular genetic and bioinformatic techniques during the past decade, the progress in mapping and identifying genes responsible for complex traits such as CAD/MI has been modest and presents a formidable challenge to medical research in the 21st century.