Author

Nicola Voyle

King's College London

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Richard DobsoniD· 2 shared Steven John KiddleiD· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Amos FolariniD· 1 shared Angela HodgesiD· 1 shared Anne Brækhus· 1 shared Aoife KeohaneiD· 1 shared Aree WitoelariD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenetics

Richard DobsonORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintFeb 22, 2018

Genetic meta-analysis identifies 9 novel loci and functional pathways for Alzheimers disease risk

Iris E. Jansen, Jeanne E. Savage, Kyoko Watanabe…·Daniëlle Posthuma

This study identifies 9 novel genetic loci and 215 potential causative genes associated with Alzheimer's disease risk through a large genome-wide association analysis.

30 citations

humanGWAS summary statistics

𝕏 PostBluesky

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

𝕏 PostBluesky