Multi-species data integration and gene ranking enrich significant results in an alcoholism genome-wide association study.

ABSTRACT:

Background

A variety of species and experimental designs have been used to study genetic influences on alcohol dependence, ethanol response, and related traits. Integration of these heterogeneous data can be used to produce a ranked target gene list for additional investigation.

Results

In this study, we performed a unique multi-species evidence-based data integration using three microarray experiments in mice or humans that generated an initial alcohol dependence (AD) related genes list, human linkage and association results, and gene sets implicated in C. elegans and Drosophila. We then used permutation and false discovery rate (FDR) analyses on the genome-wide association studies (GWAS) dataset from the Collaborative Study on the Genetics of Alcoholism (COGA) to evaluate

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC3535715 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature