多基因风险评分在异常长寿家庭中的有用性
Laura Xicota1,2, Rong Cheng1,2,3, Sandra Barral1,2,3
1Department of Neurology, Columbia University Irving Medical Center, 630W 168th street, New York City, New York, 10032, USA.
medRxiv : the preprint server for health sciences
|August 8, 2025
概括
多基因风险评分 (PRS) 显示,在健康老龄化队列中预测阿尔茨海默病 (AD) 风险的能力有限. PRS可能需要针对特定人群进行调整,因为研究中的遗传风险变异不同.
科学领域:
- 遗传学 是一个遗传学.
- 神经科学是一个神经科学.
- 流行病学 流行病学
背景情况:
- 多基因风险评分 (PRS) 用于估计个体的疾病易感性,包括阿尔茨海默病 (AD).
- 这项研究调查了PRS在健康老龄化和AD发病率降低的队列中的实用性.
研究的目的:
- 为了评估PRS对AD风险的预测能力,在一个有健康衰老史的家族队列中.
- 在这个特定人群中评估PRS和AD生物标志物之间的关联.
主要方法:
- 利用了来自美国老化纵向研究的全基因组测序 (WGS) 数据,这些参与者被评估为AD.
- 使用公布的加权公式计算PRS,基于与AD显著相关的SNP.
- 采用混合效应模型来分析PRS与AD风险和生物标志物 (Aβ42,Aβ40,NfL,GFAP) 的关联,并对混因素和家族关系进行调整.
主要成果:
- 多基因风险评分显示,在健康老龄化队列中,阿尔茨海默病的预测能力有限.
- 在PRS中使用的单核酸多态 (SNPs) 的基因频率在这个队列和一般人群之间有所不同.
- 在PRS和AD生物标志物之间没有发现显著的关联,这可能是由于与生物标志物相关的SNP数量很少.
结论:
- 人口确定对于准确解释PRS结果至关重要.
- 从一般人口数据中获得的PRS可能对本质上降低疾病风险的人群来说不足,例如那些家族健康老龄化的人群.
- 在PRS中使用的遗传风险变异可能需要对人口进行特定的调整,以有效预测疾病风险.
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