Back to search

Article

Informed dimension reduction of clinically-related genome-wide association summary data characterises cross-trait axes of genetic risk

2020-01-15

Abstract excerpt

Integration of genome-wide association study (GWAS) data has been used to generate new hypotheses of biological mechanism, aetiological relationships between traits, or test causality of one factor for another. However, such approaches have typically been limited to pairwise comparisons of traits. We propose a generally applicable method, that exploits ideas from Bayesian genetic fine mapping to define a “lens” th...

Topics

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

Identifiers and source

Literature Corpus work
47386da8-92a6-5e93-b3dd-e5b24c02624e
DOI
10.1101/2020.01.14.905869
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.
Informed dimension reduction of clinically-related genome-wide association summary data characterises cross-trait axes of genetic riskDOI 10.1101/2020.01.14.905869
Select a neighboring publication to make it the new centre.