人类基因证据丰富的副作用批准的药物。

IF 4 2区 生物学 Q1 GENETICS & HEREDITY
PLoS Genetics Pub Date : 2025-03-31 eCollection Date: 2025-03-01 DOI:10.1371/journal.pgen.1011638
Eric Vallabh Minikel, Matthew R Nelson
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引用次数: 0

摘要

安全性失败是药物开发成功率低的一个重要因素。人类遗传证据可以选择药物靶点导致疾病和丰富成功的方案。在这里,我们试图确定人类遗传证据是否也可以丰富已批准药物的标记副作用(SEs)。我们将SIDER的se数据库与来自全基因组关联研究、孟德尔病和体细胞突变的人类遗传证据结合起来。如果药物的靶标具有与SE相似的人类遗传证据,则SE发生的可能性要高出2.0倍。当性状与SE最相似时,富集程度最高,并且对于去除批准适应症也与SE相似的药物具有鲁棒性。对于药物特异性强、影响人群多、严重程度高的se,遗传证据的富集程度最高。SEs所映射的疾病区域之间存在显著的异质性,心血管SEs的阳性预测值最高。这支持在药物发现过程的早期整合人类遗传证据,以确定在药物开发过程中需要监测或减轻的潜在SE风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human genetic evidence enriched for side effects of approved drugs.

Safety failures are an important factor in low drug development success rates. Human genetic evidence can select drug targets causal in disease and enrich for successful programs. Here, we sought to determine whether human genetic evidence can also enrich for labeled side effects (SEs) of approved drugs. We combined the SIDER database of SEs with human genetic evidence from genome-wide association studies, Mendelian disease, and somatic mutations. SEs were 2.0 times more likely to occur for drugs whose target possessed human genetic evidence for a trait similar to the SE. Enrichment was highest when the trait and SE were most similar to each other, and was robust to removing drugs where the approved indication was also similar to the SE. The enrichment of genetic evidence was greatest for SEs that were more drug specific, affected more people, and were more severe. There was significant heterogeneity among disease areas the SEs mapped to, with the highest positive predictive value for cardiovascular SEs. This supports the integration of human genetic evidence early in the drug discovery process to identify potential SE risks to be monitored or mitigated in the course of drug development.

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来源期刊
PLoS Genetics
PLoS Genetics GENETICS & HEREDITY-
自引率
2.20%
发文量
438
期刊介绍: PLOS Genetics is run by an international Editorial Board, headed by the Editors-in-Chief, Greg Barsh (HudsonAlpha Institute of Biotechnology, and Stanford University School of Medicine) and Greg Copenhaver (The University of North Carolina at Chapel Hill). Articles published in PLOS Genetics are archived in PubMed Central and cited in PubMed.
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