Article
Multi-species data integration and gene ranking enrich significant results in an alcoholism genome-wide association study.
BMC genomics - 1 Jan 2012
Zhao Zhongming, Guo An-Yuan, van den Oord Edwin J C G, Aliev Fazil, Jia Peilin, Edenberg Howard J, Riley Brien P, Dick Danielle M, Bettinger Jill C, Davies Andrew G, Grotewiel Michael S, Schuckit Marc A, Agrawal Arpana, Kramer John, Nurnberger John I, Kendler Kenneth S, Webb Bradley T, Miles Michael F
Abstract excerpt
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...
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