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Improving polygenic risk prediction from summary statistics by an empirical Bayes approach

Scientific Reports

Feb 1, 2017

Hon-Cheong So, Pak C Sham

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Abstract

Polygenic risk scores (PRS) from genome-wide association studies (GWAS) are increasingly used to predict disease risks. However some included variants could be false positives and the raw estimates of effect sizes from them may be subject to selection bias. In addition, the standard PRS...read more

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  • Improving polygenic risk prediction from summary statistics by an empirical Bayes approach

    Scientific Reports

    Feb 1, 2017

    Hon-Cheong So, Pak C Sham

    PMID: 28145530

    DOI: 10.1038/srep41262

    Abstract

    Polygenic risk scores (PRS) from genome-wide association studies (GWAS) are increasingly used to predict disease risks. However some included variants could be false positives and the raw estimates of effect sizes from them may be subject to selection bias. In addition, the standard PRS...read more

    10
    94
    1

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