Unveiling clusters of RNA transcript pairs associated with markers of Alzheimer's disease progression.

ABSTRACT:

Background

One primary goal of transcriptomic studies is identifying gene expression patterns correlating with disease progression. This is usually achieved by considering transcripts that independently pass an arbitrary threshold (e.g. p<0.05). In diseases involving severe perturbations of multiple molecular systems, such as Alzheimer's disease (AD), this univariate approach often results in a large list of seemingly unrelated transcripts. We utilised a powerful multivariate clustering approach to identify clusters of RNA biomarkers strongly associated with markers of AD progression. We discuss the value of considering pairs of transcripts which, in contrast to individual transcripts, helps avoid natural human transcriptome variation that can overshadow disease-related changes.

SUBMITTER: Arefin AS 

PROVIDER: S-EPMC3448659 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature