Back to search

Article

Improving genetic risk modeling of dementia from real-world data in underrepresented populations

2024-02-06

Abstract excerpt

<h4>BACKGROUND</h4> Genetic risk modeling for dementia offers significant benefits, but studies based on real-world data, particularly for underrepresented populations, are limited. <h4>METHODS</h4> We employed an Elastic Net model for dementia risk prediction using single-nucleotide polymorphisms prioritized by functional genomic data from multiple neurodegenerative disease genome-wide association studies. We com...

Topics

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

Identifiers and source

Literature Corpus work
bcc75a1a-b4e7-5186-b191-20a2a51799d3
DOI
10.1101/2024.02.05.24302355
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.
Improving genetic risk modeling of dementia from real-world data in underrepresented populationsDOI 10.1101/2024.02.05.24302355
Select a neighboring publication to make it the new centre.