Systems genetics of substance use disorders: Resources, methods, challenges, successes

Our research communities are generating an overwhelming variety and volume of data on alcoholism and addiction. Single studies using RNA-seq and Drop-seq now generate from 100 to 50,000 transcriptomes (Mulligan et al., 2016, Macosko et al. 2015, PMID 26000488). We need far better resources and tools to assemble, analyze, and integrate massive and heterogenous data sets. We also need to be able to exploit data to test hypotheses and mechanisms. With support of NIAAA and NIDA we have assembled an open source web portal for addictome research that includes expression data sets and curated phenotypes and outcome measurements for cohorts of human, macaque, rat, mouse, and Drosophila.
Source: Alcohol - Category: Addiction Authors: Source Type: research