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Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

bioRxiv

Mar 2, 2015

Bjarni J. VilhjálmssonAlkes L. Price

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Abstract

Polygenic risk scores have shown great promise in predicting complex disease risk, and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves LD-pruning markers and applying a P-value threshold to association statistics, b...read more

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Biological Markers
Genetic Linkage
Multiple Sclerosis
Schizophrenia
Dysequilibrium Syndrome
Simulation
Posterior Pituitary Disease
MS gene
14
43
Paper Details
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  • Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    bioRxiv

    Mar 2, 2015

    Bjarni J. VilhjálmssonAlkes L. Price

    PMID: 990015859

    DOI: 10.1101/015859

    Abstract

    Polygenic risk scores have shown great promise in predicting complex disease risk, and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves LD-pruning markers and applying a P-value threshold to association statistics, b...read more

    Mentioned in this Paper

    Biological Markers
    Genetic Linkage
    Multiple Sclerosis
    Schizophrenia
    Dysequilibrium Syndrome
    14
    43
    Paper Details
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      We're still populating references for this paper, please check back later.
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