Key result
The CYP2C19 phenotype showed the strongest nominal single-variant association with ΔLDL-C after 6 months of atorvastatin therapy (β = 0.645, p=0.00079), but this did not remain significant after false discovery rate correction.
Why the study?
Does genetic variation, specifically CYP2C19 phenotype, predict the LDL-C lowering response to atorvastatin in patients with STEMI?
Cohort (n=93)
No
Does genetic variation, specifically CYP2C19 phenotype, predict the LDL-C lowering response to atorvastatin in patients with STEMI?
Effect estimate: β = 0.645
p-value: p=0.00079
Combining genetic profiles with clinical factors improves the prediction of LDL-C reduction following atorvastatin therapy in STEMI patients.
Dyslipidemia and elevated low-density lipoprotein cholesterol (LDL-C) are major drivers of atherosclerotic cardiovascular disease, yet response to statin therapy varies between patients. We investigated clinical and genetic factors associated with LDL-C response to atorvastatin in patients with ST-elevation myocardial infarction (STEMI). A total of 93 patients underwent targeted next-generation sequencing of a pharmacogene panel, and LDL-C was measured at baseline and after 6 months. The mean ΔLDL-C was − 1.46 ± 0.97 mmol/L. After exclusion of singleton variants, 176 variants remained for analysis, including 68 rare variants (minor allele frequency < 0.05). In single-variant analyses adjusted for age, sex, smoking status, and baseline LDL-C, the CYP2C19 phenotype showed the strongest nominal association with ΔLDL-C, followed by KIF6 rs20455, ABCB1 rs3842, and APOB rs72654423; however, none remained significant after false discovery rate correction. Exploratory aggregate analyses showed associations between the transport pathway score and the weighted polygenic risk score and LDL-C response. In the burden model, CYP2C19 phenotype, transport gene variation, age, and baseline LDL-C were associated with ΔLDL-C. For the binary treatment endpoint, the full model combining clinical and genetic variables showed higher apparent in-sample discrimination than the genetic-only model (AUC 0.829 vs. 0.710; DeLong test p = 0.0044). These exploratory findings require independent validation before clinical application.
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Čereškevičius et al. (2026) conducted a cohort in ST-elevation myocardial infarction (STEMI) (n=93). CYP2C19 phenotype was evaluated on ΔLDL-C at 6 months (β = 0.645, p=0.00079). The CYP2C19 phenotype showed the strongest nominal single-variant association with ΔLDL-C after 6 months of atorvastatin therapy (β = 0.645, p=0.00079), but this did not remain significant after false discovery rate correction.
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