Building a vertically integrated genomic learning health system: The biobank at the Colorado Center for Personalized Medicine

Laura K. Wiley, Jonathan A. Shortt, Emily R. Roberts, Jan Lowery, Elizabeth Kudron, Meng Lin, David Mayer, Melissa Wilson, Tonya M. Brunetti, Sameer Chavan, Tzu L. Phang, Nikita Pozdeyev, Joseph Lesny, Stephen J. Wicks, Ethan T. Moore, Joshua L. Morgenstern, Alanna N. Roff, Elise L. Shalowitz, Adrian Stewart, Cole WilliamsMichelle N. Edelmann, Madelyne Hull, J. Tacker Patton, Lisen Axell, Lisa Ku, Yee Ming Lee, Jean Jirikowic, Anna Tanaka, Emily Todd, Sarah White, Brett Peterson, Emily Hearst, Richard Zane, Casey S. Greene, Rasika Mathias, Marilyn Coors, Matthew Taylor, Debashis Ghosh, Michael G. Kahn, Ian M. Brooks, Christina L. Aquilante, David Kao, Nicholas Rafaels, Kristy R. Crooks, Steve Hess, Kathleen C. Barnes, Christopher R. Gignoux

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Precision medicine initiatives across the globe have led to a revolution of repositories linking large-scale genomic data with electronic health records, enabling genomic analyses across the entire phenome. Many of these initiatives focus solely on research insights, leading to limited direct benefit to patients. We describe the biobank at the Colorado Center for Personalized Medicine (CCPM Biobank) that was jointly developed by the University of Colorado Anschutz Medical Campus and UCHealth to serve as a unique, dual-purpose research and clinical resource accelerating personalized medicine. This living resource currently has more than 200,000 participants with ongoing recruitment. We highlight the clinical, laboratory, regulatory, and HIPAA-compliant informatics infrastructure along with our stakeholder engagement, consent, recontact, and participant engagement strategies. We characterize aspects of genetic and geographic diversity unique to the Rocky Mountain region, the primary catchment area for CCPM Biobank participants. We leverage linked health and demographic information of the CCPM Biobank participant population to demonstrate the utility of the CCPM Biobank to replicate complex trait associations in the first 33,674 genotyped individuals across multiple disease domains. Finally, we describe our current efforts toward return of clinical genetic test results, including high-impact pathogenic variants and pharmacogenetic information, and our broader goals as the CCPM Biobank continues to grow. Bringing clinical and research interests together fosters unique clinical and translational questions that can be addressed from the large EHR-linked CCPM Biobank resource within a HIPAA- and CLIA-certified environment.

Original languageEnglish
Pages (from-to)11-23
Number of pages13
JournalAmerican journal of human genetics
Volume111
Issue number1
DOIs
StatePublished - Jan 4 2024

Keywords

  • biobanking
  • electronic health records
  • learning health system
  • pharmacogenomics
  • precision medicine

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