基因组信息化风险评估在预测痴呆症结果中的作用
Shea J Andrews1, Caroline Jonson2,3,4, Brian Fulton-Howard5
1Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, USA.
medRxiv : the preprint server for health sciences
|June 21, 2024
概括
将遗传和临床因素整合到痴呆风险报告中,可以增强理解和个性化大脑健康策略. 综合风险评估有效预测痴呆症,更多的指标导致风险明显增加.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 是一个遗传学.
- 公共卫生 公共卫生
背景情况:
- 将遗传和临床风险因素整合到基因组信息化的痴呆风险报告中,可以提高患者对个人风险的理解.
- 这有助于制定个性化策略,促进大脑健康.
研究的目的:
- 开发基因组信息化风险评估,包括家族病史,遗传和临床风险因素.
- 评估本风险评估对事件痴呆症的预测能力.
主要方法:
- 一项纵向研究分析了两组临床病例控制队伍 (1994-2023) 的数据,采用全基因组测序.
- 参与者是老年人 (55岁以上) 在基线没有痴呆症.
- 添加分数结合了修改的心血管风险因素,衰老和痴呆症发病率风险分数 (mCAIDE),家族史,APOE基因型和AD多基因风险分数 (AD-PRS).
主要成果:
- 包括3,429名参与者 (75 ± 7岁);751人患有痴呆症.
- 高风险指标包括家庭病史 (56%),APOE*ε4 (36%),高mCAIDE (34%) 和高AD-PRS (11%).
- 1-4个风险指标的存在与1.72倍至12.15倍的痴呆风险增加有关,显示了剂量-反应关系.
结论:
- 记忆和衰老诊所的大多数参与者至少有一个痴呆症高风险指标.
- 更多的风险指标与发生性痴呆的风险增加相关,突显了全面风险评估的有用性.
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