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      Risk prediction for sporadic Alzheimer's disease using genetic risk score in the Han Chinese population

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          Abstract

          More than 30 independent single-nucleotide polymorphisms (SNPs) have been associated with Alzheimer's disease (AD) risk by genome-wide association studies (GWAS) in European. We aimed to confirm these SNPs in Chinese Han and investigate the utility of these genetic markers. We randomly divided 459 sporadic AD (SAD) patients and 751 cognitively normal controls into two sets (discovery and testing). Thirty-three SAD risk-associated SNPs were firstly tested in the discovery set. Significant SNPs were used to calculate genetic risk score (GRS) in the testing set. Predictive performance of GRS was evaluated using the area under the receiver operating characteristic curve (AUC). In the discovery set, 6 SNPs were confirmed ( P = 7.87 × 10 −11~0.048), including rs9349407 in CD2AP, rs11218343 in SORL1, rs17125944 in FERMT2, rs6859 in PVRL2, rs157580 and rs2075650 in TOMM40. The first three SNPs were associated with SAD risk independent of APOE genotypes. GRS based on these three SNPs were significantly associated with SAD risk in the independent testing set ( P = 0.002). The AUC for discriminating cases from controls was 0.58 for GRS, 0.60 for APOE, and 0.64 for GRS and APOE. Our data demonstrated that GRS based on AD risk-associated SNPs may supplement APOE for better assessing individual risk for AD in Chinese.

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          Most cited references27

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          Diagnostic and statistical manual of mental disorders.

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            Linking Abeta and tau in late-onset Alzheimer's disease: a dual pathway hypothesis.

            Alzheimer's disease is characterized by abnormal elevation of Abeta peptide and abnormal hyperphosphorylation of the tau protein. The "amyloid hypothesis," which is based on molecular defects observed in autosomal-dominant early-onset Alzheimer's disease (EOAD), suggests a serial model of causality, whereby elevation of Abeta drives other disease features including tau hyperphosphorylation. Here, we review recent evidence from drug trials, genetic studies, and experimental work in animal models that suggests that an alternative model might exist in late-onset AD (LOAD), the complex and more common form of the disease. Specifically, we hypothesize a "dual pathway" model of causality, whereby Abeta and tau can be linked by separate mechanisms driven by a common upstream driver. This model may account for the results of recent drug trials and, if confirmed, may guide future drug development.
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              Polygenes, risk prediction, and targeted prevention of breast cancer.

              New developments in the search for susceptibility alleles in complex disorders provide support for the possibility of a polygenic approach to the prevention and treatment of common diseases. We examined the implications, both for individualized disease prevention and for public health policy, of findings concerning the risk of breast cancer that are based on common genetic variation. Our analysis suggests that the risk profile generated by the known, common, moderate-risk alleles does not provide sufficient discrimination to warrant individualized prevention. However, useful risk stratification may be possible in the context of programs for disease prevention in the general population. The clinical use of single, common, low-penetrance genes is limited, but a few susceptibility alleles may distinguish women who are at high risk for breast cancer from those who are at low risk, particularly in the context of population screening. 2008 Massachusetts Medical Society
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                Author and article information

                Journal
                Oncotarget
                Oncotarget
                ImpactJ
                Oncotarget
                Impact Journals LLC
                1949-2553
                10 November 2015
                2 November 2015
                : 6
                : 35
                : 36955-36964
                Affiliations
                1 Center for Genomic Translational Medicine and Prevention, School of Public Health, Fudan University, Shanghai, China
                2 Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, and the Collaborative Innovation Center for Brain Science, Zhejiang University School of Medicine, Hangzhou, China
                3 Department of Neurology and Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
                4 State Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
                5 Program for Personalized Cancer Care, NorthShore University Health System, Evanston, IL, USA
                6 Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
                Author notes
                Correspondence to: Zhi-Ying Wu, zhiyingwu@ 123456zju.edu.cn
                Article
                10.18632/oncotarget.6271
                4741908
                26543236
                33f9f235-d558-4736-83c8-2d9cebfae296
                Copyright: © 2015 Xiao et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 September 2015
                : 22 September 2015
                Categories
                Research Paper: Gerotarget (Focus on Aging)

                Oncology & Radiotherapy
                alzheimer's disease,genetic risk score,risk prediction,single nucleotide polymorphism,association,gerotarget

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