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.

Highlights

  • The cost of developing new molecular entities (NMEs) into approved therapies continues to increase with cost per launched NME ranging from $3 billion to more than $10 billion across major research based pharmaceutical companies [1]

  • By looking at whether and how historical drug approvals could have been predicted from our current knowledge of human genetics, we can validate this approach and assess which types of genetic evidence are most likely to be useful in guiding drug discovery

  • In addition to genetic associations and pipeline progression events added after 2013 (New Genetic and Pipeline Progression sets), we identified a large subset of pipeline data that was available to Nelson et al, but that was excluded from analysis because Pharmaprojects reported an inactive status, most commonly “No Development Reported”

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Summary

Introduction

The cost of developing new molecular entities (NMEs) into approved therapies continues to increase with cost per launched NME ranging from $3 billion to more than $10 billion across major research based pharmaceutical companies [1]. Despite strong vetting for disease activity, only 5-10% of candidate NMEs in early stage clinical trials are eventually approved and this probability of approval has a direct relationship to total cost per approved drug [1, 2]. The specific claim of doubled approval probability, if true, could lead to fewer failed clinical programs thereby lowering drug development costs. Using the estimated impact of genetics from Nelson et al [3], increasing the fraction of NMEs in development with genetic support from the current value of 15% to 50% is predicted to decrease the direct R&D cost per launched drug by 22 ± 13% [4]

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