Journal of Personalized Medicine (Nov 2022)

The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population

  • Anurag Verma,
  • Scott M. Damrauer,
  • Nawar Naseer,
  • JoEllen Weaver,
  • Colleen M. Kripke,
  • Lindsay Guare,
  • Giorgio Sirugo,
  • Rachel L. Kember,
  • Theodore G. Drivas,
  • Scott M. Dudek,
  • Yuki Bradford,
  • Anastasia Lucas,
  • Renae Judy,
  • Shefali S. Verma,
  • Emma Meagher,
  • Katherine L. Nathanson,
  • Michael Feldman,
  • Marylyn D. Ritchie,
  • Daniel J. Rader,
  • For The Penn Medicine BioBank

DOI
https://doi.org/10.3390/jpm12121974
Journal volume & issue
Vol. 12, no. 12
p. 1974

Abstract

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The Penn Medicine BioBank (PMBB) is an electronic health record (EHR)-linked biobank at the University of Pennsylvania (Penn Medicine). A large variety of health-related information, ranging from diagnosis codes to laboratory measurements, imaging data and lifestyle information, is integrated with genomic and biomarker data in the PMBB to facilitate discoveries and translational science. To date, 174,712 participants have been enrolled into the PMBB, including approximately 30% of participants of non-European ancestry, making it one of the most diverse medical biobanks. There is a median of seven years of longitudinal data in the EHR available on participants, who also consent to permission to recontact. Herein, we describe the operations and infrastructure of the PMBB, summarize the phenotypic architecture of the enrolled participants, and use body mass index (BMI) as a proof-of-concept quantitative phenotype for PheWAS, LabWAS, and GWAS. The major representation of African-American participants in the PMBB addresses the essential need to expand the diversity in genetic and translational research. There is a critical need for a “medical biobank consortium” to facilitate replication, increase power for rare phenotypes and variants, and promote harmonized collaboration to optimize the potential for biological discovery and precision medicine.

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