Author

Caroline Johnston

King's College LondonORCID 0000-0002-7574-7075Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 2 shared Richard DobsoniD· 2 shared Steven John KiddleiD· 2 shared Alice Carla Luisa ParodiiD· 1 shared Amos FolariniD· 1 shared and for the Coalition Against Major Diseases (CAMD)· 1 shared Angela HodgesiD· 1 shared Aoife KeohaneiD· 1 shared

Activity by Year

2017-2017 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Alzheimer’s Disease Neuroimaging Initiative

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2 papers

Recent·Most cited

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

Nicola Voyle, Willemijn J. Jansen, Aoife Keohane, Hamel Patel, Amos Folarin, Stephen Newhouse, Caroline Johnston, Kuang Lin, Pieter Jelle Visser, Angela Hodges, Richard Dobson, Steven John Kiddle, Alzheimer’s Disease Neuroimaging Initiative, 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.

bioRxiv · Aug 10, 2017 · PreprintBioinformatics

Heterogeneity of cognitive decline in dementia: a failed attempt to take into account variable time-zero severity

Steven John Kiddle, Alice Carla Luisa Parodi, Caroline Johnston, Chris Wallace, Richard Dobson, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Neuroimaging Initiative, and for the Coalition Against Major Diseases (CAMD)

The paper explores Temporal Clustering to address time-zero selection in longitudinal cognitive decline studies but concludes the method has biases and is discontinued.

bioRxiv · Jul 11, 2017 · PreprintNeuroscience