Evidence map›Paper›PMID 36556195›Full record

ArticleJournal of personalized medicine2022

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 and 10 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

121 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Implementation ofJCO precision oncology · 2025
    Trial
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Article

61 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Anurag VermaDepartment of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Scott M DamrauerInstitute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Nawar NaseerInstitute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-0700-7155
JoEllen WeaverInstitute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Colleen M KripkeDepartment of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Lindsay GuareDepartment of Pathology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Giorgio SirugoDepartment of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Rachel L KemberDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-8820-2659
Theodore G DrivasDepartment of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-8717-0111
Scott M DudekDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yuki BradfordDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Anastasia LucasDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Renae JudyDepartment of Surgery, Division of Vascular Surgery and Endovascular Therapy, University of Pennsylvania, Philadelphia, PA 19104, USA.
Shefali S VermaDepartment of Pathology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Emma MeagherDepartment of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-1841-4570
Katherine L NathansonDepartment of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-6740-0901
Michael FeldmanDepartment of Pathology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-6661-4940
Marylyn D RitchieDepartment of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel J RaderDepartment of Medicine, Division of Translational Medicine and Human Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-9245-9876
For The Penn Medicine BioBank

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
CSRD VA IK2 CX001780NCATS NIH HHS UL1 TR001878NIH HHS UL1TR001878
6 · The paper itself

Abstract

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.

Indexed as

biobankelectronic health recordsgenomicslearning health systemPMBBprecision medicine

Identifiers

PMID36556195
PMCPMC9785650

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.