Workgroups

Substance Use Disorders EHR Phenotypes

The derivation and validation of phenotyping definitions to characterize multiple opioid use and misuse phenotypes, and the performance of GWAS using these phentoypes. Assessment of genetic comorbidities with other psychiatric and medical conditions. The Opioid Use Disorder workgroup aims to study the genetics of opioid use disorders (OUD) using electronic health record data across multiple sites from the psycheMERGE network (Vanderbilt, Geisenger, Michigan, Partners, Penn Medicine, Million Veterans Program). We wish to accomplish the following aims: 1) derive and validate phenotyping definitions to characterize multiple opioid use and misuse phenotypes, expanding on existing algorithms of OUD (e.g. new persistent use, opioid use escalation, OUD diagnosis, as well as deeply characterizing opioid-exposed controls) and computing novel ones, including unsupervised clustering algorithms to identify OUD sub-types; 2) perform large genome-wide association studies of the phenotypes derived in aim 1 using state-of-the-art multivariate methods including Genomic Structural Equation Modeling, 3) assess genetic comorbidities with other psychiatric and medical conditions via phenome-wide association analyses. Although our analyses will focus on European subjects to boost power for gene discovery, we aim to expand our analyses to non-European populations. This project will result in the largest genetic study of OUD to date, and the phenotyping strategies have the potential to be translated into clinical care.

Members

Assistant Professor of Biostatistics

Mayo Clinic

Assistant Professor

Vanderbilt University

Research Assistant Professor of Psychiatry

University of Pennsylvania

Postdoctoral Fellow 

Massachusetts General Hospital/Harvard Medical School

Research Instructor of Medicine

Vanderbilt University Medical Center

Assistant Professor

Geisinger

Associate Professor of Anesthesia

Brigham and Women’s Hospital/Harvard Medical School

Associate Professor

Vanderbilt University Medical Center

Assistant Professor of Biomedical Informatics

Mayo Clinic

Workgroup Lead

Associate Professor

University of California San Diego

Assistant Professor

Vanderbilt University Medical Center

Workgroup Lead

Assistant Professor

Geisinger