使用基因多基因风险评分识别与阿尔茨海默病相关的基因
Dongbing Lai1, Michael Zhang1, Rudong Li1
1Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Journal of Alzheimer's disease : JAD
|November 26, 2023
概括
这项研究使用基因多基因风险评分 (PRS) 识别了新的阿尔茨海默病 (AD) 基因,并优先考虑针对这些基因的药物,以提高疗效. 这种方法有效地发现了新的AD相关基因和潜在的治疗点.
科学领域:
- 遗传学 是一个遗传学.
- 神经科学是一个神经科学.
- 药理学 药理学是指药理学的学科.
背景情况:
- 全基因组关联研究 (GWAS) 已经确定了阿尔茨海默病 (AD) 基因具有小效应,解释了有限的遗传性.
- 由于GWAS的p值低于值,许多具有较小影响的AD相关基因仍然未被发现.
- 针对具有小效果大小的基因可能会导致药物的有效性受到限制.
研究的目的:
- 为了识别AD相关的基因与下值p值.
- 优先考虑针对AD相关基因的药物,其疗效可能很大.
主要方法:
- 开发了一种基于基因的多基因风险评分 (PRS),使用单核酸多态 (SNP) 具有跨队列一致的效果方向.
- 利用基因共同表达模块和蛋白质-蛋白质相互作用 (PPI) 网络来识别与多个其他基因相互作用的基因.
- 根据网络属性和PRS结果,优先考虑基因和药物.
主要成果:
- 使用基因 PRS 识别了 389 个与 AD 相关的基因,其中 164 个是新发现.
- 这些基因解释了SNP遗传性的很大一部分 (56.12%-97.46%).
- 在共享共表达模块和/或PPI网络中优先选择688种药物,针对64种基因.
结论:
- 基于基因的PRS提供了一种具有成本效益的方法,可以在没有大量样本大小增加的情况下发现与AD相关的基因.
- 同表达模块和PPI网络对于识别具有实质性治疗潜力的药物非常有价值.
- 这种方法增强了新型AD基因和有效药物点的识别.
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