Back to search

Article

Medical data and machine learning improve power of stroke genome-wide association studies

2020-01-23

Abstract excerpt

Genome-wide association studies (GWAS) may require enrollment of up to millions of participants to power variant discovery. This requires manual curation of cases and controls with large-scale collaborations. Biobanks connected to electronic health records (EHR) can facilitate these studies by using data from clinical care systems, like billing diagnosis codes, as phenotypes. These systems, however, do not define...

Topics

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

Identifiers and source

Literature Corpus work
a3f1d996-2653-5dd6-a9f1-f6f97eb8b78b
DOI
10.1101/2020.01.22.915397
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.
Medical data and machine learning improve power of stroke genome-wide association studiesDOI 10.1101/2020.01.22.915397
Select a neighboring publication to make it the new centre.