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    Home > Active Ingredient News > Study of Nervous System > Nat Commun: Polygenic risk score to identify high-risk individuals with Alzheimer's disease 

    Nat Commun: Polygenic risk score to identify high-risk individuals with Alzheimer's disease 

    • Last Update: 2021-07-27
    • Source: Internet
    • Author: User
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    Alzheimer's disease (AD) is the most common type of dementia, which mainly affects the elderly


    diagnosis

    Approximately 35% of the lifetime risk of dementia can be changed through factors such as education, nutrition, medical care, and social poverty, including better management of vascular risk factors, and the prevalence of dementia decreases over time


    Manage blood vessels

    If a control group is recruited from the population and/or the control group is younger than the case, some of them will develop AD at a later time


    In some genome-wide association studies ( GWAS ), clinically defined AD cases are compared with cognitively normal individuals who are not necessarily age-matched


    GWAS recent study by the age of onset of AD cases is relatively small compared with the control group centenarians observed in this study GWAS SNP important effect size is twice the average calculated in the original study GWAS recent study Comparing AD cases with a relatively young age of onset with a control group of centenarians, it was observed that the effect size of the important SNPs of GWAS in this study was on average twice that calculated by the original GWAS study

    The polygenic risk score (PRS) of AD provides a unique possibility to reliably identify high-risk and low-risk individuals with AD


    The influence of APOE allele frequency and age on genetic risk score

    The influence of APOE allele frequency and age on genetic risk score

    Recently, researchers published an article in Nature Communications that a model with two predictors (APOE and PRS excluding the APOE region) can achieve the best prediction accuracy when the pT selected by SNP is <0.


    A model with two predictors (APOE and PRS excluding the APOE region) can achieve the best predictive accuracy when the pT selected by the SNP is less than 0.


    Therefore, the results of the study show that standardizing PRS with population averages rather than sample averages can make individual scores comparable in different studies


    Standardizing PRS with population averages instead of sample averages can make individual scores comparable in different studies.


    Original source:

    Original source:

    Ganna Leonenko et al.


    Ganna Leonenko et al.




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