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

Qiaojun Li; Xingping Lv; Fei Jin; Kun Liao; Liyuan Gao; Jiayuan Xu

doi:10.3389/fnagi.2022.849443

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

Front Aging Neurosci. 2022 Apr 14:14:849443. doi: 10.3389/fnagi.2022.849443. eCollection 2022.

Authors

Qiaojun Li¹, Xingping Lv², Fei Jin³, Kun Liao², Liyuan Gao², Jiayuan Xu⁴

Affiliations

¹ School of Information Engineering, Tianjin University of Commerce, Tianjin, China.
² School of Sciences, Tianjin University of Commerce, Tianjin, China.
³ Department of Molecular Imaging, Qingdao Central Hospital, Qingdao University, Qingdao, China.
⁴ Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.

Abstract

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.

Keywords: biomarker; brain; late onset Alzheimer's disease; polygenic risk score; prediction.

Publication types

Review