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Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval

PLoS Genetics · 2019 · Vol. 15(12) · pp. e1008489–e1008489
Emily A. KingJ. Wade DavisJacob F. Degner

Abstract

Despite strong vetting for disease activity, only 10% of candidate new molecular entities in early stage clinical trials are eventually approved. Analyzing historical pipeline data, Nelson et al. 2015 (Nat. Genet.) concluded pipeline drug targets with human genetic evidence of disease association are twice as likely to lead to approved drugs. Taking advantage of recent clinical development advances and rapid growth in GWAS datasets, we extend the original work using updated data, test whether genetic evidence predicts future successes and introduce statistical models adjusting for target and indication-level properties. Our work confirms drugs with genetically supported targets were more likely to be successful in Phases II and III. When causal genes are clear (Mendelian traits and GWAS associations linked to coding variants), we find the use of human genetic evidence increases approval by greater than two-fold, and, for Mendelian associations, the positive association holds prospectively. Our findings suggest investments into genomics and genetics are likely to be beneficial to companies deploying this strategy.

Genetic Associations and EpidemiologyComputational Drug Discovery MethodsStatistical Methods in Clinical TrialsGenome-wide association studyBiologyDrug developmentGenetic associationMendelian inheritanceGenomicsDiseaseDrugMendelian randomizationClinical trial

MeSH terms

Pharmacogenomic VariantsHumansPhenotypeModels, StatisticalDrug ApprovalGenetic Predisposition to DiseaseGenomicsDatabases, GeneticQuantitative Trait LociGenome-Wide Association StudyPrecision Medicine
Citations
670
FWCI
47.29
field-weighted impact
References
38
Percentile
100%
vs. same field & year
Citations per year
References
Clinical development success rates for investigational drugs
Nature Biotechnology · 2014 · 2,462 citations
A global reference for human genetic variation
Nature · 2015 · 19,538 citations
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Nature Reviews Drug Discovery · 2010 · 3,427 citations
The Post-GWAS Era: From Association to Function
The American Journal of Human Genetics · 2018 · 884 citations
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Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval · Scinovex