多任务学习确定了晚发和阿尔茨海默病的共同遗传风险
Mingzhou Fu1,2, Thai Tran2, Bogdan Pasaniuc3
1Mary S. Easton Center for Alzheimer's Research and Care, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.
Scientific reports
|December 13, 2025
概括
研究人员通过多任务学习确定了阿尔茨海默病 (AD) 和晚发性 (LOE) 的共同遗传风险因素. 这些发现突出了APOE区域和tau通路,表明这些相互关联的神经疾病的潜在治疗点.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
- 计算生物学 计算生物学
背景情况:
- 老龄化人口在阿尔茨海默病 (AD) 和晚发性 (LOE) 的发病率上升.
- AD和LOE呈现出双向关系,每个条件都会增加对方的风险.
- 阿波利波蛋白E (APOE) 基因是已知的共同风险因素,但对LOE的综合遗传研究有限.
研究的目的:
- 系统地识别AD和LOE之间的共同遗传风险因素,使用多任务学习框架.
- 分析大规模的电子健康记录和遗传数据,寻找共享的遗传关联.
- 探索由已识别的共同遗传因素所涉及的生物途径.
主要方法:
- 采用了使用弹性网建模的多任务学习框架.
- 分析了来自加州大学洛杉矶分校卫生系统的电子健康记录 (N=416,212;遗传子集N=16,500).
- 使用"我们所有人"数据集 (N=52,493) 验证的发现,并纵向证实了双向关联.
主要成果:
- 确定了八种共同风险的单核酸多态 (SNP),涉及诸如APOE-TOMM40-APOC1,BIN1,CLU,PVRL2和TRAPPC6A等基因.
- 发现了这些基因在与脂质代谢,粉样酶代谢和蛋白结合相关的途径中的丰富.
- 开发了一个共享的遗传风险评分,有效地将患者分为不同的AD-LOE风险组.
结论:
- 这项研究通过多任务学习提供了AD和LOE之间潜在的共同遗传因素的初步系统识别.
- 这些发现表明共享的遗传贡献,特别是在APOE区域内,并暗示介导机制.
- 需要进一步的研究来验证这些遗传重叠,并探索它们的治疗潜力.
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