Weighted gene coexpression network analysis of human left atrial tissue identifies gene modules associated with atrial fibrillation.

ABSTRACT:

Background

Genetic mechanisms of atrial fibrillation (AF) remain incompletely understood. Previous differential expression studies in AF were limited by small sample size and provided limited understanding of global gene networks, prompting the need for larger-scale, network-based analyses.

Methods and results

Left atrial tissues from Cleveland Clinic patients who underwent cardiac surgery were assayed using Illumina Human HT-12 mRNA microarrays. The data set included 3 groups based on cardiovascular comorbidities: mitral valve (MV) disease without coronary artery disease (n=64), coronary artery disease without MV disease (n=57), and lone AF (n=35). Weighted gene coexpression network analysis was performed in the MV group to detect modules of correlated genes. Module preserv

SUBMITTER: Tan N 

PROVIDER: S-EPMC3955718 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature