Back to search

Article

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

2017-08-10

Abstract excerpt

<h4>INTRODUCTION</h4> In this study we investigate the association between A β levels in cerebrospinal fluid (CSF) and genetic risk in a non-demented population. This paper presents the first analysis to use a Bayesian methodology in this area. <h4>METHODS</h4> Data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the EDAR* and DESCRIPA** studies was used in a Bayesian logistic regression analys...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
79148465-8ca2-5c72-9e23-6f76d2d38ff7
DOI
10.1101/174995
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Does genetic risk help to predict amyloid burden in a non-demented population? A Bayesian approachDOI 10.1101/174995
Select a neighboring publication to make it the new centre.