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 the ranking results and weighting matrices. We found one weighting score matrix could increase FDR based q-values for a list of 47 genes with a score greater than 2. Our follow up functional enrichment tests revealed these genes were primarily involved in brain responses to ethanol and neural adaptations occurring with alcoholism. CONCLUSIONS:These results, along with our experimental validation of specific genes in mice, C. elegans and Drosophila, suggest that a cross-species evidence-based approach is useful to identify candidate genes contributing to alcoholism.
journal_name
BMC Genomicsjournal_title
BMC genomicsauthors
Zhao Z,Guo AY,van den Oord EJ,Aliev F,Jia P,Edenberg HJ,Riley BP,Dick DM,Bettinger JC,Davies AG,Grotewiel MS,Schuckit MA,Agrawal A,Kramer J,Nurnberger JI Jr,Kendler KS,Webb BT,Miles MFdoi
10.1186/1471-2164-13-S8-S16subject
Has Abstractpub_date
2012-01-01 00:00:00pages
S16issn
1471-2164pii
1471-2164-13-S8-S16journal_volume
13 Suppl 8pub_type
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