In this paper, we demonstrate the feasibility and potential utility of EHR phenotyping approaches in OUD and quantified its genetic correlation levels with other SUDs. We identified two novel significant genomic loci for OUD, suggesting that this approach (whether by virtue of its power or clinical population) can potentially ascertain new, previously unrecognized genetic contributions to OUD. Next steps will include replication and fine-mapping of the locus of interest, either among future patients in our biobank or in other cohorts. We also hope to combine ICD-based phenotyping with several other approaches to extract information from the EHR, with the hope that this may shed new light on the genetic underpinnings of and treatment possibilities for OUD.
