Detecting gene-gene interactions from GWAS using diffusion kernel principal components.

ABSTRACT: Genes and gene products do not function in isolation but as components of complex networks of macromolecules through physical or biochemical interactions. Dependencies of gene mutations on genetic background (i.e., epistasis) are believed to play a role in understanding molecular underpinnings of complex diseases such as inflammatory bowel disease (IBD). However, the process of identifying such interactions is complex due to for instance the curse of high dimensionality, dependencies in the data and non-linearity. Here, we propose a novel approach for robust and computationally efficient epistasis detection. We do so by first reducing dimensionality, per gene via diffusion kernel principal components (kpc). Subsequently, kpc gene summaries are used for downstream analysis including the con

SUBMITTER: Walakira A 

PROVIDER: S-EPMC8805268 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature