@article{3251,
  keywords = {Chromosome Mapping, Databases, Genetic, Drug Approval, Genetic Association Studies, Genetic Predisposition to Disease, Genetics, Medical, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Medical Subject Headings, Molecular Targeted Therapy, Polymorphism, Single Nucleotide},
  author = {Matthew R. Nelson and Hannah Tipney and Jeffery L. Painter and Judong Shen and Paola Nicoletti and Yufeng Shen and Aris Floratos and Pak Chung Sham and Mulin Jun Li and Junwen Wang and Lon R. Cardon and John C. Whittaker and Philippe Sanseau},
  title = {The support of human genetic evidence for approved drug indications},
  abstract = {Over a quarter of drugs that enter clinical development fail because they are ineffective. Growing insight into genes that influence human disease may affect how drug targets and indications are selected. However, there is little guidance about how much weight should be given to genetic evidence in making these key decisions. To answer this question, we investigated how well the current archive of genetic evidence predicts drug mechanisms. We found that, among well-studied indications, the proportion of drug mechanisms with direct genetic support increases significantly across the drug development pipeline, from 2.0% at the preclinical stage to 8.2% among mechanisms for approved drugs, and varies dramatically among disease areas. We estimate that selecting genetically supported targets could double the success rate in clinical development. Therefore, using the growing wealth of human genetic data to select the best targets and indications should have a measurable impact on the successful development of new drugs.},
  year = {2015},
  journal = {Nature Genetics},
  volume = {47},
  pages = {856-860},
  month = {2015-08},
  issn = {1546-1718},
  doi = {10.1038/ng.3314},
  language = {eng},
}