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EDAR and DESCRIPA study groups

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Bioinformatics· 1

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Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1

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Alzheimer’s Disease Neuroimaging Initiative· 1 shared Amos FolariniD· 1 shared Angela HodgesiD· 1 shared Aoife KeohaneiD· 1 shared Caroline JohnstoniD· 1 shared Hamel PateliD· 1 shared Kuang Lin· 1 shared Nicola Voyle· 1 shared

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Alzheimer’s Disease Neuroimaging Initiative

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Recent·Most cited

BioinformaticsbioRxivPreprintAug 10, 2017

Does genetic risk help to predict amyloid burden in a non-demented population? A Bayesian approach.

Nicola Voyle, Willemijn J. Jansen, Aoife Keohane…·EDAR and DESCRIPA study groups

This study uses Bayesian logistic regression to assess if genetic risk factors predict amyloid burden in non-demented individuals, finding that known factors like age and APOE are more predictive than polygenic risk scores.

1 citation

humanproteomics

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