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Does genetic risk help to predict amyloid burden in a non-demented population? A Bayesian approach
Nicola Voyle, Willemijn Jansen, Aoife Keohane, Hamel Patel, Amos Folarin, Stephen Newhouse, Caroline Johnston, Kuang Lin, Pieter Jelle Visser, Angela Hodges, Richard JB Dobson, Steven J Kiddle, for the Alzheimer’s Disease Neuroimaging Initiative, EDAR and DESCRIPA study groups
doi: https://doi.org/10.1101/174995
Nicola Voyle
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Willemijn Jansen
bDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, The Netherlands
Aoife Keohane
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Hamel Patel
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Amos Folarin
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Stephen Newhouse
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Caroline Johnston
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Kuang Lin
cDepartment of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Pieter Jelle Visser
dDepartment of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
eHelen Wills Neuroscience Institute, University of California, Berkeley
Angela Hodges
cDepartment of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Richard JB Dobson
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
fNIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
gFarr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, UK
Steven J Kiddle
aMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
hMRC Biostatistics Unit, Cambridge Biomedical Campus, Cambridge Institute of Public Health, Forvie Site, Robinson Way, Cambridge, UK.
Article usage
Posted August 10, 2017.
Does genetic risk help to predict amyloid burden in a non-demented population? A Bayesian approach
Nicola Voyle, Willemijn Jansen, Aoife Keohane, Hamel Patel, Amos Folarin, Stephen Newhouse, Caroline Johnston, Kuang Lin, Pieter Jelle Visser, Angela Hodges, Richard JB Dobson, Steven J Kiddle, for the Alzheimer’s Disease Neuroimaging Initiative, EDAR and DESCRIPA study groups
bioRxiv 174995; doi: https://doi.org/10.1101/174995
Does genetic risk help to predict amyloid burden in a non-demented population? A Bayesian approach
Nicola Voyle, Willemijn Jansen, Aoife Keohane, Hamel Patel, Amos Folarin, Stephen Newhouse, Caroline Johnston, Kuang Lin, Pieter Jelle Visser, Angela Hodges, Richard JB Dobson, Steven J Kiddle, for the Alzheimer’s Disease Neuroimaging Initiative, EDAR and DESCRIPA study groups
bioRxiv 174995; doi: https://doi.org/10.1101/174995
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