ArticleFrontiers in molecular biosciences2026
Integrated expression quantitative trait loci and Mendelian randomization analyses of the candidate genes and pathways identified for myocardial infarction.
Article in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Myocardial infarction (MI) is a myocardial necrosis event caused by an unstable ischemic state that reduces life expectancy primarily through cardiac functional impairment and cardiomyocyte death. The present study aims to investigate the genetic mechanisms underlying MI by integrating expression quantitative trait loci (eQTLs) and Mendelian randomization (MR) analyses. Methods: We comprehensively analyzed independent MI datasets from the Gene Expression Omnibus database. The relationships between MI and the differentially expressed genes were evaluated through differential expression, eQTL, and MR analyses. Additionally, GO and KEGG enrichment analyses were performed to clarify the functional pathways of the candidate genes, and gene set enrichment analysis (GSEA) was used to identify the genes associated with MI. An Results: By comparing the results from the MR analysis and mRNA expression profiles, we identified 13 overlapping genes: Conclusion: This study highlights the potential of specific molecular pathways for targeted treatment of MI. Our work also warrants additional research efforts to elucidate the genetic mechanisms of MI.
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