Associations of Polygenic Risk Score for Late-Onset Alzheimer's Disease With Biomarkers

被引：7

作者：

Li, Qiaojun ^{[1
]}

Lv, Xingping ^{[2
]}

Jin, Fei ^{[3
]}

Liao, Kun ^{[2
]}

Gao, Liyuan ^{[2
]}

Xu, Jiayuan ^{[4
,5
]}

机构：

[1] Tianjin Univ Commerce, Sch Informat Engn, Tianjin, Peoples R China

[2] Tianjin Univ Commerce, Sch Sci, Tianjin, Peoples R China

[3] Qingdao Univ, Qingdao Cent Hosp, Dept Mol Imaging, Qingdao, Peoples R China

[4] Tianjin Med Univ Gen Hosp, Dept Radiol, Tianjin, Peoples R China

[5] Tianjin Med Univ Gen Hosp, Tianjin Key Lab Funct Imaging, Tianjin, Peoples R China

来源：

FRONTIERS IN AGING NEUROSCIENCE | 2022年 / 14卷

基金：

中国国家自然科学基金;

关键词：

late onset Alzheimer's disease; polygenic risk score; biomarker; prediction; brain; MILD COGNITIVE IMPAIRMENT; CEREBRAL-BLOOD-FLOW; GENETIC RISK; TAU; METAANALYSIS; PREDICTION; LOCI; SCHIZOPHRENIA; CONNECTIVITY; INDIVIDUALS;

D O I：

10.3389/fnagi.2022.849443

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

Late-onset Alzheimer's disease (LOAD) is a common irreversible neurodegenerative disease with heterogeneous genetic characteristics. Identifying the biological biomarkers with the potential to predict the conversion from normal controls to LOAD is clinically important for early interventions of LOAD and clinical treatment. The polygenic risk score for LOAD (AD-PRS) has been reported the potential possibility for reliably identifying individuals with risk of developing LOAD recently. To investigate the external phenotype changes resulting from LOAD and the underlying etiology, we summarize the comprehensive associations of AD-PRS with multiple biomarkers, including neuroimaging, cerebrospinal fluid and plasma biomarkers, cardiovascular risk factors, cognitive behavior, and mental health. This systematic review helps improve the understanding of the biomarkers with potential predictive value for LOAD and further optimizing the prediction and accurate treatment of LOAD.

引用

页数：16

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