One drawback of many big data studies is the lack of functional relevance of the obtained findings. In this consortium we have and will further produce omics-derived datasets from patients suffering from alcohol, tobacco, cannabis, opioid, or cocaine use disorders. These data will reveal either new candidate genes that play a distinct role in one or more SUDs or candidate genes/mechanisms that have a more general role in addictive behavior. Our aim is to study the functional relevance of candidate gene variants and molecular mechanisms (derived from SP2&3) in a sex dependent way in SUDs.