开发一种以人类遗传学为指导的优先评分,用于19,365个基因和399种药物适用性
Áine Duffy1,2, Ben Omega Petrazzini1,2,3, David Stein1,2,4
1The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Nature genetics
|January 3, 2024
概括
使用人类遗传证据优先考虑药物标,提高了药物发现的成功率. 一个新的遗传优先分数 (GPS) 和它的定向版本增强了临床试验的目标选择.
科学领域:
- 基因组学就是基因组学.
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 人类遗传支持对于临床试验中药物标成功至关重要.
- 优先考虑具有遗传证据的药物标,可以加速药物发现.
- 现有的方法缺乏全面整合遗传数据以确定目标优先级.
研究的目的:
- 开发一种新的评分系统,即遗传优先评分 (GPS),将多种遗传特征集成,以优先考虑药物向基因.
- 通过将遗传效应方向和药物机制纳入定向GPS来提高目标优先级.
- 提供一个公开可访问的网页门户,用于探索优先的毒品目标.
主要方法:
- 整合了来自开放目标和SIDER数据库的八个遗传特征和药物指示数据来计算GPS.
- 通过结合遗传效应方向和药物机制,开发了一种定向GPS.
- 将评分方法应用于19365个编码蛋白质的基因和399种药物指示.
主要成果:
- 最顶级的GPS层 (0.83%,0.28%,0.19%) 显示药物指示的几率显著增加 (分别为5.3x,9.9x,11.0x).
- 在GPS中前0.28%的目标在临床试验阶段取得进展的可能性要大得多 (I至II期:1.7x,I至III期:3.7x,I至IV期:8.8x).
- 创建了一个网络门户,使优先基因列表和相关数据可访问.
结论:
- GPS有效地优先考虑具有强大的人类遗传支持的药物向基因,增加临床试验成功的可能性.
- 定向GPS通过考虑遗传效应和药物作用的性质,提供了更精细的优先级.
- 该工具通过识别有希望的治疗点,为加速药物发现和开发提供了宝贵的资源.
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