Back to search

Article

A Powerful Method for Pleiotropic Analysis under Composite Null Hypothesis Identifies Novel Shared Loci Between Type 2 Diabetes and Prostate Cancer

2020-04-13

Abstract excerpt

<h4> S ummary </h4> There is increasing evidence that pleiotropy, the association of multiple traits with the same genetic variants/loci, is a very common phenomenon. Cross-phenotype association tests are often used to jointly analyze multiple traits from a GWAS. The underlying methods, however, are often designed to test the global null hypothesis that there is no association of a genetic variant with any of t...

Topics

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

Identifiers and source

Literature Corpus work
dee7165e-86c6-5869-8cf6-d7dfcdf5997f
DOI
10.1101/2020.04.11.037630
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.
A Powerful Method for Pleiotropic Analysis under Composite Null Hypothesis Identifies Novel Shared Loci Between Type 2 Diabetes and Prostate CancerDOI 10.1101/2020.04.11.037630
Select a neighboring publication to make it the new centre.