By comparing patterns of genetic code from the brain tissue of alcoholics and nonalcoholics, researchers discovered a particular set of genes co-expressed together in the individuals who had consumed the most alcohol.
Specifically, certain sets of genes were strongly linked as networks in alcoholics, but not in nonalcoholics.
"This provides the most comprehensive picture to date of the gene sets that drive alcohol dependence," said R Adron Harris, director of The University of Texas at Austin's Waggoner Center for Alcohol and Addiction Research.
"We now have a much clearer picture of where specific traits related to alcohol dependence overlap with specific expressions in genetic code," Harris said.
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The new research, however, represents the first time scientists used revolutionary bioinformatics technology of RNA sequencing to identify the specific group of different genes that, expressed together, are highly correlated with alcohol dependence.
"We hope our model can serve as a type of Wikipedia of alcohol dependence, helping to break down the complexities of alcohol dependence and becoming a reference for future research into drug therapies," said Sean Farris, a postdoctoral fellow also at the Waggoner Center and lead author of the study.
The study is published in the journal Molecular Psychiatry.