Back to search

Article

EPIC: inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencing

2021-06-10

Abstract excerpt

More than a decade of genome-wide association studies (GWASs) have identified genetic risk variants that are significantly associated with complex traits. Emerging evidence suggests that the function of trait-associated variants likely acts in a tissue- or cell-type-specific fashion. Yet, it remains challenging to prioritize trait-relevant tissues or cell types to elucidate disease etiology. Here, we present EPIC...

Topics

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

Identifiers and source

Literature Corpus work
7eedff31-429f-58a0-aaa3-584b6eddaddb
DOI
10.1101/2021.06.09.447805
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.
EPIC: inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencingDOI 10.1101/2021.06.09.447805
Select a neighboring publication to make it the new centre.