In addition to generating functional genomic data, COGA has collaborated with other research groups and used curated gene expression, chromatin architecture and methylation data, from both humans and non‐human animals, to tease apart causal variants from the increasing number of genome‐wide significant loci emerging from large‐scale GWAS meta‐analyses of AUD and related traits. For instance, our multi‐omic cell‐type specific approach to analyzing existing summary statistics of AUD and typical drinking yielded strong associations with genes implicated in neurodegenerative diseases. 59 COGA's multi‐pronged functional genomic approach weaves data generation and curation together, and related findings are reviewed in an accompanying article (5. Functional Genomics). These data continue to serve, not only as a platform for characterization of loci discovered in our own GWAS of behavioral and brain data but also for emerging signals from larger scale meta‐analytic GWAS of AUD.
