Back to search

Article

Gene-environment interactions using a Bayesian whole genome regression model

2019-10-09

Abstract excerpt

The contribution of gene-environment (GxE) interactions for many human traits and diseases is poorly characterised. We propose a Bayesian whole genome regression model, LEMMA, for joint modeling of main genetic effects and gene-environment interactions in large scale datasets such as the UK Biobank, where many environmental variables have been measured. The method estimates a linear combination of environmental va...

Topics

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

Identifiers and source

Literature Corpus work
b07c011f-4e38-5b9e-9e44-70041dd05655
DOI
10.1101/797829
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.
Gene-environment interactions using a Bayesian whole genome regression modelDOI 10.1101/797829
Select a neighboring publication to make it the new centre.