Back to search

Article

Predicting the genetic ancestry of 2.6 million New York City patients using clinical data

2019-09-14

Abstract excerpt

Ancestry is an essential covariate in clinical genomics research. When genetic data are available, dimensionality reduction techniques, such as principal components analysis, are used to determine ancestry in complex populations. Unfortunately, these data are not always available in the clinical and research settings. For example, electronic health records (EHRs), which are a rich source of temporal human disease...

Topics

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

Identifiers and source

Literature Corpus work
656a8a65-db7d-5dce-b6c3-1161d9b67309
DOI
10.1101/768440
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.
Predicting the genetic ancestry of 2.6 million New York City patients using clinical dataDOI 10.1101/768440
Select a neighboring publication to make it the new centre.