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Efficient Bayesian mixed model analysis increases association power in large cohorts

bioRxiv

Aug 9, 2014

Po-Ru LohAlkes L. Price

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Abstract

Linear mixed models are a powerful statistical tool for identifying genetic associations and avoiding confounding. However, existing methods are computationally intractable in large cohorts, and may not optimize power. All existing methods require time cost O(MN^2) (where N = #samples a...read more

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Biological Markers
Woman
Isosorbide Mononitrate
Size
Cohort
Simulation
Single Nucleotide Polymorphism
Analysis
EAF2 gene
Mn2+
10
18
Paper Details
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  • Efficient Bayesian mixed model analysis increases association power in large cohorts

    bioRxiv

    Aug 9, 2014

    Po-Ru LohAlkes L. Price

    PMID: 990007799

    DOI: 10.1101/007799

    Abstract

    Linear mixed models are a powerful statistical tool for identifying genetic associations and avoiding confounding. However, existing methods are computationally intractable in large cohorts, and may not optimize power. All existing methods require time cost O(MN^2) (where N = #samples a...read more

    Mentioned in this Paper

    Biological Markers
    Woman
    Isosorbide Mononitrate
    Size
    Cohort
    10
    18
    Paper Details
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