基础科学和病原发生学
Eden R Martin1,2, Anthony J Griswold1,2, Farid Rajabli1,2
1Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
概括
在轻度认知障碍 (MCI) 个体中估计阿尔茨海默氏病 (AD) 的概率可以加强遗传关联研究. 对MCI患者的"病例性"的归因提高了统计能力,有助于发现AD与AD的遗传联系.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 生物统计学 生物统计学
背景情况:
- 阿尔茨海默病 (AD) 遗传研究通常会因为诊断不确定性而排除轻度认知障碍 (MCI) 患者.
- 这种排除可能会限制检测AD发展相关的遗传关联的能力.
研究的目的:
- 开发和验证一种方法来估计MCI个体中AD转换的概率.
- 通过将MCI个体与疾病概率估计纳入病例控制研究来增强遗传关联分析.
主要方法:
- 提出了一种多步骤的方法:1. 确定AD的预测模型,使用已确定的AD病例和认知不受损 (CU) 控制的逻辑回归. 2. 2. 2. 这是一个很棒的节目. 使用此模型估计MCI个体的AD概率 (pi). 3. 3. 3. 3. 这是一件很棒的事情. 通过值 (pi > t) 或概率再抽样,将MCI个体纳入遗传关联测试中.
- 在1420名参与者 (448名AD,714名CU,258名MCI) 中,APOE-e4等位基因与AD的关联被评估为原则证明.
主要成果:
- 在AD病例与CU对照中对APOE-e4的基准分析产生了3.25的几率比率 (OR) (Z=9.088).
- 包括所有MCI个体,因为病例将OR降至1.97 (Z=6.628).
- 结合临床,人口和生物标记数据 (pTau-181,CDR记忆得分,年龄,性别) 的值模型 (t=0.8) 通过添加24名MCI个体作为可能病例,轻微改善了测试统计数据 (OR=3.22,Z=9.174). 再抽样方法的效果不如值方法.
结论:
- 临床,人口和生物标志物数据可以有效地将MCI个体的疾病概率 ("发生率") 归因于遗传关联研究.
- 即使是少数被归咎为MCI病例,也显著改善了统计测试的性能.
- 这种归算策略有望在更大的阿尔茨海默病数据集中增强遗传发现.
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