Validating therapeutic targets through human genetics

被引:463
作者
Plenge, Robert M. [1 ,2 ]
Scolnick, Edward M. [2 ,3 ]
Altshuler, David [2 ,4 ,5 ]
机构
[1] Brigham & Womens Hosp, Div Rheumatol Immunol & Allergy, Boston, MA 02115 USA
[2] Broad Inst MIT & Harvard, Program Med & Populat Genet, Cambridge, MA 02142 USA
[3] Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Cambridge, MA 02142 USA
[4] Massachusetts Gen Hosp, Dept Mol Biol & Diabet Unit, Boston, MA 02114 USA
[5] Harvard Univ, Sch Med, Dept Genet & Med, Boston, MA 02115 USA
关键词
GENOME-WIDE ASSOCIATION; RESEARCH-AND-DEVELOPMENT; DENSITY-LIPOPROTEIN CHOLESTEROL; TRANSFER PROTEIN-INHIBITION; EXTREME PAIN DISORDER; FAMILIAL HYPERCHOLESTEROLEMIA; CYSTIC-FIBROSIS; RARE VARIANTS; DE-NOVO; MENDELIAN RANDOMIZATION;
D O I
10.1038/nrd4051
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
More than 90% of the compounds that enter clinical trials fail to demonstrate sufficient safety and efficacy to gain regulatory approval. Most of this failure is due to the limited predictive value of preclinical models of disease, and our continued ignorance regarding the consequences of perturbing specific targets over long periods of time in humans. 'Experiments of nature' - naturally occurring mutations in humans that affect the activity of a particular protein target or targets - can be used to estimate the probable efficacy and toxicity of a drug targeting such proteins, as well as to establish causal rather than reactive relationships between targets and outcomes. Here, we describe the concept of dose-response curves derived from experiments of nature, with an emphasis on human genetics as a valuable tool to prioritize molecular targets in drug development. We discuss empirical examples of drug-gene pairs that support the role of human genetics in testing therapeutic hypotheses at the stage of target validation, provide objective criteria to prioritize genetic findings for future drug discovery efforts and highlight the limitations of a target validation approach that is anchored in human genetics.
引用
收藏
页码:581 / 594
页数:14
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