Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer's disease.

ABSTRACT:

Background

Genome-wide association studies (GWAS) have identified many individual genes associated with brain imaging quantitative traits (QTs) in Alzheimer's disease (AD). However single marker level association discovery may not be able to address the underlying biological interactions with disease mechanism.

Results

In this paper, we used the MGAS (Multivariate Gene-based Association test by extended Simes procedure) tool to perform multivariate GWAS on eight AD-relevant subcortical imaging measures. We conducted multiple iPINBPA (integrative Protein-Interaction-Network-Based Pathway Analysis) network analyses on MGAS findings using protein-protein interaction (PPI) data, and identified five Consensus Modules (CMs) from the PPI network. Functional annotation and network a

SUBMITTER: Meng X 

PROVIDER: S-EPMC7771059 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature