药物重新定位
孟德尔随机化
全基因组关联研究
计算生物学
生物
重新调整用途
鉴定(生物学)
遗传关联
杠杆(统计)
药物开发
药品
遗传学
基因
单核苷酸多态性
药理学
遗传变异
计算机科学
机器学习
基因型
植物
生态学
作者
William R. Reay,Murray J. Cairns
标识
DOI:10.1038/s41576-021-00387-z
摘要
Genome-wide association studies (GWAS) have revealed important biological insights into complex diseases, which are broadly expected to lead to the identification of new drug targets and opportunities for treatment. Drug development, however, remains hampered by the time taken and costs expended to achieve regulatory approval, leading many clinicians and researchers to consider alternative paths to more immediate clinical outcomes. In this Review, we explore approaches that leverage common variant genetics to identify opportunities for repurposing existing drugs, also known as drug repositioning. These approaches include the identification of compounds by linking individual loci to genes and pathways that can be pharmacologically modulated, transcriptome-wide association studies, gene-set association, causal inference by Mendelian randomization, and polygenic scoring.
科研通智能强力驱动
Strongly Powered by AbleSci AI