全基因组关联研究
生物
药物开发
遗传关联
孟德尔遗传
基因组学
疾病
药品
孟德尔随机化
临床试验
计算生物学
生物信息学
遗传学
单核苷酸多态性
遗传变异
医学
基因
药理学
内科学
基因型
基因组
作者
Emily A. King,J. Wade Davis,Jacob F. Degner
出处
期刊:PLOS Genetics
[Public Library of Science]
日期:2019-12-12
卷期号:15 (12): e1008489-e1008489
被引量:665
标识
DOI:10.1371/journal.pgen.1008489
摘要
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.
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