药物开发
药品
生物
疾病
药物遗传学
机制(生物学)
情感(语言学)
生物信息学
基因
遗传学
药理学
医学
基因型
心理学
内科学
认识论
哲学
沟通
作者
Matthew R. Nelson,Hannah Tipney,Jeffery L. Painter,Judong Shen,Paola Nicoletti,Yufeng Shen,Aris Floratos,Pak C. Sham,Mulin Jun Li,Junwen Wang,Lon R. Cardon,John C. Whittaker,Philippe Sanséau
出处
期刊:Nature Genetics
[Springer Nature]
日期:2015-06-29
卷期号:47 (8): 856-860
被引量:1323
摘要
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.
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