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Dataset Information

PolarMorphism enables discovery of shared genetic variants across multiple traits from GWAS summary statistics.


ABSTRACT:

Motivation

Pleiotropic SNPs are associated with multiple traits. Such SNPs can help pinpoint biological processes with an effect on multiple traits or point to a shared etiology between traits. We present PolarMorphism, a new method for the identification of pleiotropic SNPs from genome-wide association studies (GWAS) summary statistics. PolarMorphism can be readily applied to more than two traits or whole trait domains. PolarMorphism makes use of the fact that trait-specific SNP effect sizes can be seen as Cartesian coordinates and can thus be converted to polar coordinates r (distance from the origin) and theta (angle with the Cartesian x-axis, in the case of two traits). r describes the overall effect of a SNP, while theta describes the extent to which a SNP is shared. r and the

SUBMITTER: von Berg J 

PROVIDER: S-EPMC9235478 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature