4.7 Article

A genomic exploration identifies mechanisms that may explain adverse cardiovascular effects of COX-2 inhibitors

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SCIENTIFIC REPORTS
卷 7, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-017-10928-4

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资金

  1. German Federal Ministry of Education and Research (BMBF)
  2. FP7 European Union project CVgenes@target [261123]
  3. Universitat zu Lubeck
  4. Fondation Leducq (CADgenomics: Understanding Coronary Artery Disease Genes) [12CVD02]
  5. Deutsche Forschungsgemeinschaft (DFG) cluster of excellence 'Inflammation at Interfaces
  6. DZHK Rotation Grant
  7. British Heart Foundation
  8. Dekker scholarship - Netherlands Heart Foundation [2014T001]
  9. UCL Hospitals NIHR Biomedical Research Centre
  10. Sanofi Aventis
  11. Lilly
  12. Novo nordisk
  13. AstraZeneca
  14. Boehringer Ingelheim
  15. Bristol-Myers Squibb/Pfizer
  16. Merck Co
  17. Roche
  18. Abbott
  19. [SFB 1123]

向作者/读者索取更多资源

Cyclooxygenase-2 inhibitors (coxibs) are characterized by multiple molecular off-target effects and increased coronary artery disease (CAD) risk. Here, we systematically explored common variants of genes representing molecular targets of coxibs for association with CAD. Given a broad spectrum of pleiotropic effects of coxibs, our intention was to narrow potential mechanisms affecting CAD risk as we hypothesized that the affected genes may also display genomic signals of coronary disease risk. A Drug Gene Interaction Database search identified 47 gene products to be affected by coxibs. We traced association signals in 200-kb regions surrounding these genes in 84,813 CAD cases and 202,543 controls. Based on a threshold of 1 x 10(-5) (Bonferroni correction for 3131 haplotype blocks), four gene loci yielded significant associations. The lead SNPs were rs7270354 (MMP9), rs4888383 (BCAR1), rs6905288 (VEGFA1), and rs556321 (CACNA1E). By additional genotyping, rs7270354 at MMP9 and rs4888383 at BCAR1 also reached the established GWAS threshold for genome-wide significance. The findings demonstrate overlap of genes affected by coxibs and those mediating CAD risk and points to further mechanisms, which are potentially responsible for coxib-associated CAD risk. The novel approach furthermore suggests that genetic studies may be useful to explore the clinical relevance of off-target drug effects.

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