Back to search

Article

Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDR

2020-12-04

Abstract excerpt

Genome-wide association studies (GWAS) have identified thousands of genetic variants that are associated with complex traits. However, a stringent significance threshold is required to identify robust genetic associations. Leveraging relevant auxiliary covariates has the potential to boost statistical power to exceed the significance threshold. Particularly, abundant pleiotropy and the non-random distribution of S...

Topics

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

Identifiers and source

Literature Corpus work
0d91d2e2-6ea5-51c3-88e0-9834c34720f6
DOI
10.1101/2020.12.04.411710
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.
Leveraging auxiliary data from arbitrary distributions to boost GWAS discovery with Flexible cFDRDOI 10.1101/2020.12.04.411710
Select a neighboring publication to make it the new centre.