ArticleThe pharmacogenomics journal2024
Polygenic scores for cardiovascular risk factors improve estimation of clinical outcomes in CCB treatment compared to pharmacogenetic variants alone.
Article in The pharmacogenomics journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- AI-based multimodal integration of genomics and electronic health records.Nature reviews. Genetics · 2026Review
- Analysis of left ventricular mass for African American individuals using multi-ancestry polygenic risk scores: the Jackson Heart Study.Open heart · 2025Article
- Transferability of polygenic risk scores for metabolic and cardiovascular traits in an underrepresented population.NPJ genomic medicine · 2025Article
- Leveraging large-scale biobank EHRs to enhance pharmacogenetics of cardiometabolic disease medications.Nature communications · 2025Article
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Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
Abstract
Pharmacogenetic variants are associated with clinical outcomes during Calcium Channel Blocker (CCB) treatment, yet whether the effects are modified by genetically predicted clinical risk factors is unknown. We analyzed 32,000 UK Biobank participants treated with dihydropiridine CCBs (mean 5.9 years), including 23 pharmacogenetic variants, and calculated polygenic scores for systolic and diastolic blood pressures, body fat mass, and other patient characteristics. Outcomes included treatment discontinuation and heart failure. Pharmacogenetic variant rs10898815-A (NUMA1) increased discontinuation rates, highest in those with high polygenic scores for fat mass. The RYR3 variant rs877087 T-allele alone modestly increased heart failure risks versus non-carriers (HR:1.13, p = 0.02); in patients with high polygenic scores for fat mass, lean mass, and lipoprotein A, risks were substantially elevated (HR:1.55, p = 4 × 10
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