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Can I read Ranking the risk factors for Alzheimer’s disease; findings from the UK Biobank study on EtoBox?

Ranking the risk factors for Alzheimer’s disease; findings from the UK Biobank study by Michael Allwright; Hamish D Mundell; Andrew N McCorkindale; Richard I. Lindley; Paul J. Austin; Boris Guennewig; Greg T Sutherland is a Neuroscience article available to read on EtoBox.

What is Ranking the risk factors for Alzheimer’s disease; findings from the UK Biobank study about?

## Background The cause of the most common form of dementia, sporadic Alzheimer’s disease (AD), remains unknown. This may reflect insufficiently powered studies to date for this multi-factorial disorder. The UK Biobank dataset presents a unique opportunity to rank known risk factors and determine novel variables. ## Methods A custom machine learning approach for high dimensionality data was applied to explore prospectively associations between AD in a sub-cohort of 156,209 UK Biobank participants aged 60–70 including more than 2,090 who were subsequently diagnosed with AD. ## Results After the possession of the APOE4 allele, the next highest ranked risk factors were other genetic variants within the TOMM40-APOE-APOC1 locus. When stratified by their apolipoprotein epsilon 4 (APOE4) carrier status, the most prominent risk factors in carriers were AST:ALT ratio, the “number of treatments/ medications” taken as well as “time spent in hospital” while protection was conferred by “Sleeplessness/Insomnia”. In non-APOE carriers, lower socioeconomic status and fewer years of education were highly ranked but effect sizes were small relative to APOE4 carriers. ## Conclusions Possession of the

Who reads Ranking the risk factors for Alzheimer’s disease; findings from the UK Biobank study?

It is typically read by researchers, students, and practitioners in Neuroscience.

Author
Michael Allwright; Hamish D Mundell; Andrew N McCorkindale; Richard I. Lindley; Paul J. Austin; Boris Guennewig; Greg T Sutherland
Publisher
Elsevier BV
Published
2023
Language
EN
Field
Neuroscience (Life Sciences)

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