Back to search

Article

Linking abdominal imaging traits to electronic health record phenotypes

2020-09-09

Abstract excerpt

Quantitative traits obtained from computed tomography (CT) scans performed in routine clinical practice have the potential to enhance translational research and genomic discovery when linked to electronic health record (EHR) and genomic data. For example, both liver fat and abdominal adipose mass are highly relevant to human disease; non-alcoholic fatty liver disease(NAFLD) is present in 30% of the US adult popula...

Topics

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

Identifiers and source

Literature Corpus work
e8cb5e89-9b96-505c-b1b4-a98f3d30be8d
DOI
10.1101/2020.09.08.20190330
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.
Linking abdominal imaging traits to electronic health record phenotypesDOI 10.1101/2020.09.08.20190330
Select a neighboring publication to make it the new centre.