To evaluate and quantitatively synthesize the available evidence on the association between SIRT1 gene polymorphisms and susceptibility to coronary artery disease (CAD).
Approach:
Literature Search: Systematic search of PubMed, Embase, Web of Science, and Cochrane Library from inception to February 12, 2026, to identify relevant observational studies.
Data Extraction: Independent literature screening, data extraction, and quality assessment were performed by two reviewers.
Meta-Analysis: Meta-analyses were conducted using Stata 16.0, with odds ratios (ORs) and 95% confidence intervals (CIs) as effect measures.
Subgroup Analysis: Subgroup and sensitivity analyses were performed where appropriate to explore potential sources of heterogeneity.
Key Findings:
Nine studies included with overall methodological quality ranging from moderate to high.
Three SIRT1 polymorphisms analyzed: rs7069102, rs7895833, and rs4746720.
Rs7069102 showed no significant association with CAD susceptibility overall, but a consistent risk effect in the CAD subgroup.
Rs7895833 associated with increased CAD susceptibility under the recessive model (OR = 1.49, 95% CI: 1.03–2.15).
Rs4746720 showed significant associations under the dominant (OR = 1.26, 95% CI: 1.02–1.55) and heterozygote models (OR = 1.27, 95% CI: 1.01–1.58).
Interpretation:
Certain SIRT1 polymorphisms may be associated with CAD susceptibility; however, the associations vary by SNP locus, genetic model, and population or disease subgroup.
Limitations:
Pooled estimates derived mainly from unadjusted genotype frequencies.
Findings could not account for major cardiovascular risk factors.
Need for further large, well-designed studies with appropriate adjustment for clinical confounders.
Conclusion:
Current evidence suggests associations between specific SIRT1 polymorphisms and CAD susceptibility, but these findings should be interpreted cautiously, and further large, well-designed studies are needed.