ArticleInternational journal of general medicine2026
A Genetic Risk Prediction Model for Coronary Artery Disease Integrating CYP17A1 Polymorphisms and Clinical Variables in a Chinese Population.
Article in International journal of general medicine, 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
Purpose: This study aimed to investigate the association between Patients and Methods: A total of 2221 subjects (1363 CAD patients and 858 controls) were enrolled. Five single-nucleotide polymorphisms (SNPs) (rs11191548, rs17115100, rs4409766, rs6162, and rs6163) were genotyped. To account for multiple testing across genetic models, the false discovery rate (FDR) correction was applied. A nomogram incorporating Results: In the overall population, preliminary association analyses identified three SNPs (rs11191548, rs17115100, rs4409766) with genotype distributions significantly different between cases and controls under recessive models. These associations remained significant after FDR correction for multiple testing across all 5 SNPs and 3 genetic models tested (all q = 0.035). Subsequent multivariate logistic regression, adjusted for clinical confounders, confirmed independent protective effects: the CC genotype of rs11191548 (OR = 0.507, 95% CI: 0.352-0.730, P < 0.001), the CC genotype of rs4409766 (OR = 0.557, 95% CI: 0.394-0.786, P = 0.001), and the TT genotype of rs17115100 (OR = 0.632, 95% CI: 0.473-0.844, P = 0.002). The integrated nomogram achieved an area under the curve (AUC) of 0.727-0.728 for CAD risk prediction. Moreover, exploratory sex-stratified analyses indicated potential sex-specific associations, with some variants linked to CAD risk in either males or females at a nominal significance level. Conclusion: The rs11191548, rs17115100, and rs4409766 variants of the
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