A Classifier-based approach to identify genetic similarities between diseases.

ABSTRACT:

Motivation

Genome-wide association studies are commonly used to identify possible associations between genetic variations and diseases. These studies mainly focus on identifying individual single nucleotide polymorphisms (SNPs) potentially linked with one disease of interest. In this work, we introduce a novel methodology that identifies similarities between diseases using information from a large number of SNPs. We separate the diseases for which we have individual genotype data into one reference disease and several query diseases. We train a classifier that distinguishes between individuals that have the reference disease and a set of control individuals. This classifier is then used to classify the individuals that have the query diseases. We can then rank query diseases accord

SUBMITTER: Schaub MA 

PROVIDER: S-EPMC2687980 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature