Professor Crosslin's current research program focuses on the area of precision medicine, with a combination of statistical genetics, biomedical informatics, implementation science, and computational / bioinformatics tools development. One implementation theme of his research program is the integration of genomics data into the electronic health record (EHR) for clinical decision support. As such, his program is in line with advancing the national electronic health information infrastructure in support of personalized medicine.
Professor Crosslin has been provided the unique opportunity to participate as a key contributor in multiple National Human Genome Research Institute (NHGRI) “Big Data” efforts. One such effort is the Electronic Medical Records & Genomics (eMERGE) Network that is currently in its fourth phase, and comprises multiple mixed-ancestry US biobanks with genotyped and/or sequence data, linked to EHRs. The eMERGE Network is on the forefront of precision medicine and discovery using mined phenotypes from the EHR, and has transitioned from discovery to genomic precision medicine implementation. Professor Crosslin is currently MPI (Jarvik, Crosslin) for the UW site’s U01 project (2020-2025) to evaluate the use of genomic information (polygenic risk scores) in the health care of diverse ancestry participants. Previously, Professor Crosslin served as the UW PI for the eMERGE Coordinating Center sub-contract (2015-2020) primarily focused on genetic data activities, Co-Chair for the eMERGE Genomics Working Group (2012-2020), and Co-I for the Kaiser Permanente/UW site project. With his colleagues, he has led and published on multiple methods and network phenotypes including pharmacogenomics, ancestry, white blood cell count, monocyte count, and varicella zoster/shingles (see publications below). This experience has exposed his group to genetics discovery, phenotyping using the electronic health record, and translational implementation.