Addiction is a highly complex disease with risk factors that include genetic variants and differences in development, sex, and environment. The long term potential of precision medicine to improve drug treatment and prevention depends on gaining a much better understanding how genetics, drugs, brain cells, and neuronal circuitry interact to influence behavior. There are serious technical barriers that prevent researchers and clinicians from incorporating more powerful computational and predictive methods in addiction research. The purpose of the NIDA P30 Core Center of Excellence in Omics, Systems Genetics, and the Addictome is to empower and train researchers supported by NIH, NIDA, NIAAA, and other federal and state institutions to use more quantitative and testable ways to analyze genetic, epigenetic, and the environmental factors that influence drug abuse risk and treatment. In the Transcriptome Informatics and Mechanisms research core we assemble and upgrade hundreds of large genome (DNA) and transcriptome (RNA) datasets for experimental rodent (rat) models of addiction. In the Systems Analytics and Modeling research core, we are using innovative systems genetics methods (gene mapping) to understand the linkage between DNA differences, environmental risks such as stress, and the differential risk of drug abuse and relapse. Our Pilot core is catalyzing new collaborations among young investigator in the field of addiction research. In sum the Center is a national resource for more reproducible research in addiction. We are centralizing, archiving, distributing, analyzing and integrating high quality data, metadata, using open software systems in collaboration with many other teams of researchers. Our goal is to help build toward an NIDA Addictome Portal that will include all genomic research relevant to addiction research.
The NIDA Core Center of Excellence in Omics, Systems Genetics, and the Addictome (OSGA) provides genomic and computational support to a large number of research scientists working on mechanisms and treatment of addiction. The two main research cores of OSGA are providing support for transcriptome, epigenome, and metagenome studies of rat models of addiction at many levels of analysis. We are also creating open access tools and a powerful web portal to catalyze more effective and replicable use of massive datasets generated by programs in addiction biology and treatment.
|Ashbrook, D G; Mulligan, M K; Williams, R W (2018) Post-genomic behavioral genetics: From revolution to routine. Genes Brain Behav 17:e12441|
|Rudra, Pratyaydipta; Shi, Wen J; Russell, Pamela et al. (2018) Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse. BMC Genomics 19:639|
|Lusk, Ryan; Saba, Laura M; Vanderlinden, Lauren A et al. (2018) Unsupervised, Statistically Based Systems Biology Approach for Unraveling the Genetics of Complex Traits: A Demonstration with Ethanol Metabolism. Alcohol Clin Exp Res 42:1177-1191|
|Hoffman, Paula L; Saba, Laura M; Vanderlinden, Lauren A et al. (2018) Voluntary exposure to a toxin: the genetic influence on ethanol consumption. Mamm Genome 29:128-140|