Genetic contribution to lipid target achievement with statin therapy: a prospective study.

Clinical Laboratory, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain. cr.ruiz@fsm.cat. phD student at Universitat Autònoma de Barcelona, Barcelona, Spain. cr.ruiz@fsm.cat. Clinical Laboratory, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain. Cardiovascular Unit, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain. Genetics Laboratory UDIAT-CD, Corporació Sanitària Parc Tauli, Sabadell, Barcelona, Spain. Endocrinology Department, Corporació Sanitària Parc Taulí, Sabadell, Barcelona, Spain. Hospitalet Clinical Laboratory, Centre Atenció Primària Just Oliveras, L'Hospitalet de Llobregat, Barcelona, Spain. Clinical Laboratory, Hospital Universitario Miguel Servet, Zaragoza, Spain.

The pharmacogenomics journal. 2020;(3):494-504

Abstract

Statin therapy response is highly variable. Variants of lipid metabolism genes and statin pharmacokinetic modulators could play a role, however, the impact of most of these variants remains unconfirmed. A prospective and multicenter study included 252 patients was carried out in order to assess, according to achievement of LDL-C or non-HDL-C therapeutic targets and quantitative changes in lipid profiles, the impact of CETP, ABCA1, CYP2D6, and CYP2C9 gene candidate variants on the simvastatin, atorvastatin, and rosuvastatin response. Patients carrier ABCA1 rs2230806 and CYP2D6*3 variants are less likely to achieve therapeutic lipid targets (p = 0.020, OR = 0.59 [0.37, 0.93]; p = 0.040, OR = 0.23 [0.05, 0.93], respectively). Among CETP variants, rs708272 was linked to a 10.56% smaller reduction in LDL-C with rosuvastatin (95% CI = [1.27, 19.86] %; p = 0.028). In contrast, carriers of rs5882 had a 13.33% greater reduction in LDL-C (95% CI = [25.38, 1.28]; p = 0.032). If these findings are confirmed, ABCA1, CYP2D6, and CETP genotyping could be used to help predict which statin and dosage is appropriate in order to improve personalized medicine.

Methodological quality

Publication Type : Multicenter Study ; Observational Study

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