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Genetic Polymorphisms of SIRT1 Gene and Susceptibility to Coronary Artery DiseaseSpecific SIRT1 Gene Variations Linked to Coronary Artery Disease Risk

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Key Takeaway
Specific SIRT1 polymorphisms rs7895833 and rs4746720 are associated with increased coronary artery disease susceptibility.

This meta-analysis investigated the association between three specific SIRT1 gene polymorphisms (rs7069102, rs7895833, and rs4746720) and susceptibility to coronary artery disease (CAD). The study aimed to determine if these genetic variations serve as indicators for cardiovascular risk.

Analysis of the rs7895833 polymorphism revealed a significant association with increased CAD susceptibility under the recessive model. Similarly, the rs4746720 polymorphism showed significant associations with increased risk when analyzed using both dominant and heterozygote models. These findings suggest specific genetic pathways may influence cardiovascular health.

In contrast, the rs7069102 polymorphism did not show a statistically significant association with CAD susceptibility across any of the five tested genetic models in the overall analysis. While consistent results were observed within the CAD subgroup, these findings require cautious interpretation due to the lack of adjustment for clinical confounders.

Limitations include the reliance on unadjusted genotype frequencies and the inability to account for major cardiovascular risk factors like hypertension or lipid levels. Clinicians should view these genetic associations as markers rather than direct indicators of causality.

How this fits prior evidence

This meta-analysis addresses a gap in understanding the genetic components of coronary artery disease (CAD) susceptibility. While prior evidence has focused on procedural outcomes such as mortality rates following PCI remaining within international benchmarks and the impact of real-time heart team decision making on MACCE, this study provides specific data on SIRT1 gene polymorphisms. Specifically, rs7895833 showed an effect size of 1.49 and rs4746720 showed effects of 1.26 and 1.27 in associated models.

Researchers analyzed data regarding SIRT1 gene polymorphisms and their link to coronary artery disease. This meta-analysis looked at how different genetic markers might influence a person's susceptibility to heart issues.

The study found that two specific variations, known as rs7895833 and rs4746720, were linked to an increased risk of coronary artery disease under certain models. However, another variation, rs7069102, did not show a significant link in the overall analysis, even though it showed a consistent effect within the group already diagnosed with heart disease.

It is important to note that these findings are based on genetic associations rather than direct causes. The study also had limitations, such as not accounting for major lifestyle factors like diet or exercise. Because of these factors and the lack of data on clinical variables, these results should be viewed as early evidence rather than a definitive tool for diagnosis.

What this means for you:
Certain SIRT1 gene variations are linked to heart disease risk, but results must be viewed with caution.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJul 2026
View Original Abstract ↓
BackgroundThis systematic review and meta-analysis aimed to evaluate and quantitatively synthesize the available evidence on the association between SIRT1 gene polymorphisms and susceptibility to coronary artery disease (CAD).MethodsPubMed, Embase, Web of Science, and the Cochrane Library were systematically searched from inception to February 12, 2026, to identify relevant observational studies. Literature screening, data extraction, and quality assessment were independently performed by two reviewers. Meta-analyses were conducted using Stata 16.0, with odds ratios (ORs) and 95% confidence intervals (CIs) as effect measures. Subgroup and sensitivity analyses were further performed where appropriate.ResultsA total of nine studies were included, with overall methodological quality ranging from moderate to high. Three SIRT1 polymorphisms, rs7069102, rs7895833, and rs4746720, were included in the quantitative synthesis. In the overall analysis, rs7069102 was not significantly associated with CAD susceptibility under any of the five genetic models; however, in the CAD subgroup, it showed a consistent risk effect across all genetic models. Rs7895833 was associated with increased CAD susceptibility only under the recessive model (OR = 1.49, 95% CI: 1.03–2.15). Rs4746720 showed significant associations under the dominant model (OR = 1.26, 95% CI: 1.02–1.55) and the heterozygote model (OR = 1.27, 95% CI: 1.01–1.58).ConclusionCurrent evidence suggests that certain SIRT1 polymorphisms may be associated with CAD susceptibility, but the observed associations appear to vary by SNP locus, genetic model, and population or disease subgroup. Because the pooled estimates were derived mainly from unadjusted genotype frequencies and could not account for major cardiovascular risk factors, these findings should be interpreted cautiously. Further large, well-designed studies with appropriate adjustment for clinical confounders are needed to confirm these associations.
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