Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications

The high prevalence of Alzheimer’s disease (AD) among the elderly population and its lack of effective treatments make this disease a critical threat to human health. Recent epidemiological and genetics studies have revealed the polygenic nature of the disease, which is possibly explainable by a pol...

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Main Authors:	Xiaopu Zhou, Yolanda Y. T. Li, Amy K. Y. Fu, Nancy Y. Ip
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-03-01
Series:	Frontiers in Neuroscience
Subjects:	Alzheimer’s disease polygenic score APOE genetics polygenic risk score polygenic hazard score
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2021.650220/full

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spelling	doaj-49529fe61adf44eb80ba224f1f28c0ff2021-03-29T06:18:53ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-03-011510.3389/fnins.2021.650220650220Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical ApplicationsXiaopu Zhou0Xiaopu Zhou1Xiaopu Zhou2Yolanda Y. T. Li3Amy K. Y. Fu4Amy K. Y. Fu5Amy K. Y. Fu6Nancy Y. Ip7Nancy Y. Ip8Nancy Y. Ip9Division of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, ChinaHong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, ChinaGuangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, ChinaDivision of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, ChinaDivision of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, ChinaHong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, ChinaGuangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, ChinaDivision of Life Science, State Key Laboratory of Molecular Neuroscience and Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Hong Kong, ChinaHong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, ChinaGuangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen, ChinaThe high prevalence of Alzheimer’s disease (AD) among the elderly population and its lack of effective treatments make this disease a critical threat to human health. Recent epidemiological and genetics studies have revealed the polygenic nature of the disease, which is possibly explainable by a polygenic score model that considers multiple genetic risks. Here, we systemically review the rationale and methods used to construct polygenic score models for studying AD. We also discuss the associations of polygenic risk scores (PRSs) with clinical outcomes, brain imaging findings, and biochemical biomarkers from both the brain and peripheral system. Finally, we discuss the possibility of incorporating polygenic score models into research and clinical practice along with potential challenges.https://www.frontiersin.org/articles/10.3389/fnins.2021.650220/fullAlzheimer’s diseasepolygenic scoreAPOEgeneticspolygenic risk scorepolygenic hazard score
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Xiaopu Zhou Xiaopu Zhou Xiaopu Zhou Yolanda Y. T. Li Amy K. Y. Fu Amy K. Y. Fu Amy K. Y. Fu Nancy Y. Ip Nancy Y. Ip Nancy Y. Ip
spellingShingle	Xiaopu Zhou Xiaopu Zhou Xiaopu Zhou Yolanda Y. T. Li Amy K. Y. Fu Amy K. Y. Fu Amy K. Y. Fu Nancy Y. Ip Nancy Y. Ip Nancy Y. Ip Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications Frontiers in Neuroscience Alzheimer’s disease polygenic score APOE genetics polygenic risk score polygenic hazard score
author_facet	Xiaopu Zhou Xiaopu Zhou Xiaopu Zhou Yolanda Y. T. Li Amy K. Y. Fu Amy K. Y. Fu Amy K. Y. Fu Nancy Y. Ip Nancy Y. Ip Nancy Y. Ip
author_sort	Xiaopu Zhou
title	Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications
title_short	Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications
title_full	Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications
title_fullStr	Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications
title_full_unstemmed	Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications
title_sort	polygenic score models for alzheimer’s disease: from research to clinical applications
publisher	Frontiers Media S.A.
series	Frontiers in Neuroscience
issn	1662-453X
publishDate	2021-03-01
description	The high prevalence of Alzheimer’s disease (AD) among the elderly population and its lack of effective treatments make this disease a critical threat to human health. Recent epidemiological and genetics studies have revealed the polygenic nature of the disease, which is possibly explainable by a polygenic score model that considers multiple genetic risks. Here, we systemically review the rationale and methods used to construct polygenic score models for studying AD. We also discuss the associations of polygenic risk scores (PRSs) with clinical outcomes, brain imaging findings, and biochemical biomarkers from both the brain and peripheral system. Finally, we discuss the possibility of incorporating polygenic score models into research and clinical practice along with potential challenges.
topic	Alzheimer’s disease polygenic score APOE genetics polygenic risk score polygenic hazard score
url	https://www.frontiersin.org/articles/10.3389/fnins.2021.650220/full
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Polygenic Score Models for Alzheimer’s Disease: From Research to Clinical Applications

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