Back to search

Article

Epistatic networks jointly influence phenotypes related to metabolic disease and gene expression in Diversity Outbred mice

2017-01-05

Abstract excerpt

<h4>ABSTRACT</h4> Genetic studies of multidimensional phenotypes can potentially link genetic variation, gene expression, and physiological data to create multi-scale models of complex traits. Multi-parent populations provide a resource for developing methods to understand these relationships. In this study, we simultaneously modeled body composition, serum biomarkers, and liver transcript abundances from 474 Div...

Topics

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

Identifiers and source

Literature Corpus work
c8082f75-18e7-5376-89d2-65653d68bcfb
DOI
10.1101/098681
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.
Epistatic networks jointly influence phenotypes related to metabolic disease and gene expression in Diversity Outbred miceDOI 10.1101/098681
Select a neighboring publication to make it the new centre.