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Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications

  • Áine Duffy,
  • Ben Omega Petrazzini,
  • David Stein,
  • Joshua K. Park,
  • Iain S. Forrest,
  • Kyle Gibson,
  • Ha My Vy,
  • Robert Chen,
  • Carla Márquez-Luna,
  • Matthew Mort,
  • Marie Verbanck,
  • Avner Schlessinger,
  • Yuval Itan,
  • David N. Cooper,
  • Ghislain Rocheleau,
  • Daniel M. Jordan,
  • Ron Do

摘要

Studies have shown that drug targets with human genetic support are more likely to succeed in clinical trials. Hence, a tool integrating genetic evidence to prioritize drug target genes is beneficial for drug discovery. We built a genetic priority score (GPS) by integrating eight genetic features with drug indications from the Open Targets and SIDER databases. The top 0.83%, 0.28% and 0.19% of the GPS conferred a 5.3-, 9.9- and 11.0-fold increased effect of having an indication, respectively. In addition, we observed that targets in the top 0.28% of the score were 1.7-, 3.7- and 8.8-fold more likely to advance from phase I to phases II, III and IV, respectively. Complementary to the GPS, we incorporated the direction of genetic effect and drug mechanism into a directional version of the score called the GPS with direction of effect. We applied our method to 19,365 protein-coding genes and 399 drug indications and made all results available through a web portal.