机构：[1]Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.神经科系统神经内科首都医科大学宣武医院[2]Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.[3]Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China.[4]Center of Alzheimer's Disease, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.[5]Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China.
BackgroundMore than 60 independent single-nucleotide polymorphisms (SNPs) have been associated with Alzheimer's disease risk by genome-wide association studies in European.ObjectiveWe aimed to confirm these SNPs in Chinese Han populations and investigate the utility of these genetic markers.MethodsAltogether 1595 late-onset Alzheimer's disease (LOAD) patients and 2474 controls from Chinese population were recruited. We replicated the association of 68 SNPs with LOAD and established polygenetic risk score (PRS) prediction model using significant SNPs. Meta-analysis for MS4A6A rs610932 and PICALM rs3851179 were performed.ResultsAccording to our findings, 14 out of 68 SNPs are validated significantly associated with LOAD (adjusted p < 0.05) after adjusting age and sex in the Chinese population. Besides, after stratification by APOE ε4 status, almost all SNPs retain markedly relationship with LOAD in APOE ε4 noncarriers. However, few loci retain correlation in APOE ε4 carriers. Furthermore, the area under the receiver operating characteristic curve prediction model for distinguishing LOAD patients from normal subjects were 0.614 for PRS and 0.689 for PRS and APOE. In addition, meta-analysis including this study of East Asian populations confirmed that rs610932 and rs3851179 were dramatically related to the LOAD (OR = 0.85, 95% CI = 0.74-0.97; OR = 0.87, 95% CI = 0.83-0.91).ConclusionsDespite genetic heterogeneity, there are still common loci among different races. PRS based on AD risk-associated SNPs may supplement APOE for better assessing individual risk for AD in Chinese. Besides, interactions between genes and gene environment affect the impact of risk allele on diverse populations.
基金：
The authors disclosed receipt of the following financial support for
the research, authorship, and/or publication of this article:
This study was supported by the STI2030-Major Projects
(No.2021ZD0201802); Key Project of the National Natural
Science Foundation of China (U20A20354); Beijing Brain
Initiative from Beijing Municipal Science & Technology
Commission (Z201100005520017); the grant from the Chinese
Institutes for Medical Research (CX23YZ15); the National Key
Scientific Instrument and Equipment Development Project
(31627803); the Key Project of the National Natural Science
Foundation of China (81530036).
语种：
外文
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出版当年[2025]版：
大类|3 区医学
小类|3 区神经科学
最新[2025]版：
大类|3 区医学
小类|3 区神经科学
第一作者：
第一作者机构：[1]Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
通讯作者：
通讯机构：[1]Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.[2]Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China.[3]Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China.[4]Center of Alzheimer's Disease, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.[5]Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China.
推荐引用方式(GB/T 7714)：
Li Fangyu,Zheng Menghan,Jia Jianping.Validate association of gene loci and establish genetic risk prediction models for late-onset Alzheimer's disease in Chinese populations[J].Journal Of Alzheimer's Disease : JAD.2025,13872877251326283.doi:10.1177/13872877251326283.
APA：
Li Fangyu,Zheng Menghan&Jia Jianping.(2025).Validate association of gene loci and establish genetic risk prediction models for late-onset Alzheimer's disease in Chinese populations.Journal Of Alzheimer's Disease : JAD,,
MLA：
Li Fangyu,et al."Validate association of gene loci and establish genetic risk prediction models for late-onset Alzheimer's disease in Chinese populations".Journal Of Alzheimer's Disease : JAD .(2025):13872877251326283
