A maximum kernel-based association test to detect the pleiotropic genetic effects on multiple phenotypes.

ABSTRACT:

Motivation

Testing the association between multiple phenotypes with a set of genetic variants simultaneously, rather than analyzing one trait at a time, is receiving increasing attention for its high statistical power and easy explanation on pleiotropic effects. The kernel-based association test (KAT), being free of data dimensions and structures, has proven to be a good alternative method for genetic association analysis with multiple phenotypes. However, KAT suffers from substantial power loss when multiple phenotypes have moderate to strong correlations. To handle this issue, we propose a maximum KAT (MaxKAT) and suggest using the generalized extreme value distribution to calculate its statistical significance under the null hypothesis.

Results

We show that MaxKAT reduces

SUBMITTER: Wang J 

PROVIDER: S-EPMC10174706 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature