A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer's Disease Diagnosis.

ABSTRACT:

Background

Recent studies indicate that gene expression levels in blood may be able to differentiate subjects with Alzheimer's disease (AD) from normal elderly controls and mild cognitively impaired (MCI) subjects. However, there is limited replicability at the single marker level. A pathway-based interpretation of gene expression may prove more robust.

Objectives

This study aimed to investigate whether a case/control classification model built on pathway level data was more robust than a gene level model and may consequently perform better in test data. The study used two batches of gene expression data from the AddNeuroMed (ANM) and Dementia Case Registry (DCR) cohorts.

Methods

Our study used Illumina Human HT-12 Expression BeadChips to collect gene expression from

SUBMITTER: Voyle N 

PROVIDER: S-EPMC4927941 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature