2019
DOI: 10.1101/513945
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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

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… Show more

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Cited by 103 publications
(101 citation statements)
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“…We next assessed whether natural variation in the genetic locus encoding ASIC1a (ACCN1) is associated with ischemic diseases using human population statistical genetics. While fewer than 10% of new molecular entities pass through clinical trials and are approved for therapeutic use, evidence of human genetic association between the gene target and traits sufficiently similar to the indication being treated increase the likelihood of approval to as high as 50% 47 . We utilized summary data from genome-wide association studies (GWAS) 48 and calculated the statistical significance (using fastBAT 49 ) of genetic variants encompassing the ACCN1 locus with human cardiac and cerebral ischemic phenotypes.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We next assessed whether natural variation in the genetic locus encoding ASIC1a (ACCN1) is associated with ischemic diseases using human population statistical genetics. While fewer than 10% of new molecular entities pass through clinical trials and are approved for therapeutic use, evidence of human genetic association between the gene target and traits sufficiently similar to the indication being treated increase the likelihood of approval to as high as 50% 47 . We utilized summary data from genome-wide association studies (GWAS) 48 and calculated the statistical significance (using fastBAT 49 ) of genetic variants encompassing the ACCN1 locus with human cardiac and cerebral ischemic phenotypes.…”
Section: Resultsmentioning
confidence: 99%
“…Given that drug targets with genetic evidence of disease association are twice as likely to succeed in clinical trials and lead to approved drug candidates 47 19 .…”
Section: Discussionmentioning
confidence: 99%
“…In an important study, Nelson et al [19] showed that the proportion of drugs with direct genetic support increased along the development pipeline, increasing from 2.0% at the preclinical stage to 8.2% among the approved drugs. In a more updated analysis by King et al [20] , they reported similar findings that genetically supported targets were more likely to be successful in Phases II and III clinical trials, especially when the genes implicated are likely causal.…”
Section: Overview Of Gwas and Its Potential In Guiding Drug Discoverimentioning
confidence: 86%
“…MR has been used successfully to help prioritise intervention and drug targets and to identify causal factors for several diseases [19][20][21][22][23]. In general, candidate drugs with genetic evidence for effectiveness are more successful in drug trials compared to those without such genetic support [24].…”
Section: Introductionmentioning
confidence: 99%