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    Home > Active Ingredient News > Study of Nervous System > Nat Commun: EWASplus, a machine learning method for epigenetic analysis, reveals genes related to Alzheimer's disease

    Nat Commun: EWASplus, a machine learning method for epigenetic analysis, reveals genes related to Alzheimer's disease

    • Last Update: 2021-07-27
    • Source: Internet
    • Author: User
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    Alzheimer's disease (AD) is an age-related neurodegenerative disease, the main cause of dementia, and one of the world's major public health problems


    Alzheimer's disease (AD) is an age-related neurodegenerative disease, the main cause of dementia, and one of the world's major public health problems


    Compared with genome-wide association studies ( GWAS ), there are relatively few studies on AD-related epigenetic changes in the human brain.


    GWAS

    Previous studies have shown that multiple array-based whole epigenome association studies (EWAS) have identified strong brain methylation changes in AD; however, array-based detection can only detect about 2% of all CpG sites in the genome


    Multiple array-based whole epigenome association studies (EWAS) have identified strong brain methylation changes in AD; however, array-based detection can only detect about 2% of all CpG sites in the genome


    Overview of EWASplus method

    Overview of EWASplus method

    In this study, the researchers constructed the EWASplus method, a computational method that uses a supervised machine learning strategy (ML) to extend the coverage of EWAS to the entire genome


    The researchers constructed the EWASplus method, which is a computational method that uses supervised machine learning strategies (ML) to extend the coverage of EWAS to the entire genome


    Summary of EWASplus results

    Summary of EWASplus results

    EWASplus also performed well on data collected from independent cohorts and different brain regions





    A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer's disease.




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