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Genome-Wide Association Studies of Myocardial Infarction: A Systematic Literature Review
Isabelle P Thierry1, Reza Jabbari1, Thomas Engstrøm1
1The Heart Centre, Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, DK 2100 Copenhagen, Denmark.
Genome-wide association studies (GWAS) reveal genetic links to myocardial infarction (MI). This review summarizes GWAS findings, highlighting potential biological pathways and therapeutic targets for MI, while noting challenges in diversity and functional validation.
Area of Science:
- Genetics and Genomics
- Cardiovascular Disease Research
- Bioinformatics and Statistical Genetics
Background:
- Myocardial infarction (MI) is a major global health concern, causing significant morbidity and mortality.
- Genetic factors play a crucial role in the etiology of MI.
- Genome-wide association studies (GWAS) are instrumental in identifying genetic variants associated with complex diseases like MI.
Purpose of the Study:
- To systematically review all GWAS of MI that identified genome-wide significant single-nucleotide polymorphisms (SNPs).
- To elucidate the biological relevance of identified SNPs and their potential clinical utility in MI.
- To summarize advancements in understanding the genetic underpinnings of MI through GWAS.
Main Methods:
- Systematic review conducted following PRISMA guidelines.
- Literature search performed using PubMed and the GWAS Catalog.
- Included nine GWAS published between 2007 and 2023, encompassing diverse ancestral cohorts.
Main Results:
- Multiple genetic loci associated with MI have been identified through GWAS.
- These findings pinpoint potential biological pathways involved in MI pathogenesis.
- Identified genetic associations offer potential therapeutic targets and enhance MI risk prediction models.
Conclusions:
- GWAS have significantly advanced the understanding of MI's genetic architecture.
- Key challenges include the underrepresentation of diverse ancestries in current GWAS.
- Further functional studies are essential to define causal variants and elucidate mechanisms linking genetic variation to MI.
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