杠杆(统计)
药物开发
药物发现
等位基因
基因检测
医学
生物
药品
生物信息学
计算机科学
药理学
遗传学
内科学
基因
机器学习
作者
Eric Vallabh Minikel,Jeffery L. Painter,Chenbin Dong,Matthew R. Nelson
出处
期刊:Nature
[Springer Nature]
日期:2024-04-17
标识
DOI:10.1038/s41586-024-07316-0
摘要
Abstract The cost of drug discovery and development is driven primarily by failure 1 , with only about 10% of clinical programmes eventually receiving approval 2–4 . We previously estimated that human genetic evidence doubles the success rate from clinical development to approval 5 . In this study we leverage the growth in genetic evidence over the past decade to better understand the characteristics that distinguish clinical success and failure. We estimate the probability of success for drug mechanisms with genetic support is 2.6 times greater than those without. This relative success varies among therapy areas and development phases, and improves with increasing confidence in the causal gene, but is largely unaffected by genetic effect size, minor allele frequency or year of discovery. These results indicate we are far from reaching peak genetic insights to aid the discovery of targets for more effective drugs.
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