ReviewJournal of the Saudi Heart Association2025
Genetic Factors Associated With Myocardial Infarction in Saudi Arabia.
Review in Journal of the Saudi Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Association of rs4977574 with Lipid Phenotypes, Smoking Status, and Statin Exposure in a Saudi Cardiovascular Cohort: A Sensitivity-Adjusted Genetic Association Study.Journal of clinical medicine · 2026Article
- Rare coding variation and stroke heterogeneity in Saudi Arabia: an exome‑wide association study across severity, etiology, vascular territory, and early‑onset disease.BMC neurology · 2026Article
- Apolipoprotein E ɛ3/ɛ4 genotype is associated with premature myocardial infarction: a hospital based retrospective study.BMC cardiovascular disorders · 2026Article
- Bridging the Gap: The Critical Next Steps for Implementing Genetic Risk Scores in Myocardial Infarction Prevention in Saudi Arabia.Journal of the Saudi Heart Association · 2026Article
- Comments on the Letter "Bridging the Gap: The Critical Next Steps for Implementing Genetic Risk Scores in Myocardial Infarction Prevention in Saudi Arabia".Journal of the Saudi Heart Association · 2026Article
- The Role of Lipid Disorders in Cardiovascular Mortality Among Saudis: A Review Perspective.International journal of endocrinology · 2026Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Myocardial infarction (MI) is one of the leading causes of mortality in Saudi Arabia, with individuals sharing genetic, lifestyle, and environmental risk factors. The present investigation aimed to review the literature on genetic susceptibility to MI among Saudi individuals, with a specific emphasis on genome-wide association studies (GWAS) for coronary artery disease (CAD) and MI. Studies have revealed the relationship between polymorphisms in genes such as proprotein convertase subtilisin/kexin type 9 (PCSK9), cholesteryl ester transfer protein (CETP), and cyclin-dependent kinase inhibitor 2B antisense RNA 1 (CDKN2B-AS1), which are involved in lipid metabolism, inflammation, and endothelial function. Methods: This PROSPERO-registered systematic review and meta-analysis (CRD42024603752) evaluates genetic determinants of myocardial infarction among Saudi adults. Five databases were searched (1989-Oct 2024) according to PRISMA guidelines. Case-control and cohort studies that met the inclusion criteria were analyzed using random-effects models. Results: Findings suggest that several polymorphic genes are highly associated with MI in Saudi citizens. There is strong evidence indicating that PCSK9, CETP, and CDKN2B-AS1 contribute to susceptibility to MI, though the effect of these polymorphic genes varies. The meta-analysis confirmed that MI is a polygenic disease, and genetic predisposition, in combination with individual lifestyle factors, determines disease progression. Conclusions: This study establishes that genetic factors significantly contribute to MI in Saudi Arabia. Integrating genetic screening with traditional cardiovascular risk assessments can enhance early intervention strategies. The findings highlight the need for MI prevention programs tailored to specific genotypes in the Saudi population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.