Modified entropy-based procedure detects gene-gene-interactions in unconventional genetic models.

ABSTRACT:

Background

Since it is assumed that genetic interactions play an important role in understanding the mechanisms of complex diseases, different statistical approaches have been suggested in recent years for this task. One interesting approach is the entropy-based IGENT method by Kwon et al. that promises an efficient detection of main effects and interaction effects simultaneously. However, a modification is required if the aim is to only detect interaction effects.

Methods

Based on the IGENT method, we present a modification that leads to a conditional mutual information based approach under the condition of linkage equilibrium. The modified estimator is investigated in a comprehensive simulation based on five genetic interaction models and applied to real data from the geno

SUBMITTER: Malten J 

PROVIDER: S-EPMC7181579 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature