Back to search

Article

An expression-directed linear mixed model (edLMM) discovering low-effect genetic variants

2023-07-15

Abstract excerpt

Detecting genetic variants with low effect sizes using a moderate sample size is difficult, hindering downstream efforts to learn pathology and estimating heritability. In this work, by utilizing informative weights learned from training genetically predicted gene expression models, we formed an alternative approach to estimate the polygenic term in a linear mixed model (LMM). Our LMM estimates the genetic backgro...

Topics

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

Identifiers and source

Literature Corpus work
86cd3042-74c3-5252-be26-a6448be39f49
DOI
10.1101/2023.07.13.548939
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.
An expression-directed linear mixed model (edLMM) discovering low-effect genetic variantsDOI 10.1101/2023.07.13.548939
Select a neighboring publication to make it the new centre.