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The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population
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 g...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785650/ https://www.ncbi.nlm.nih.gov/pubmed/36556195 http://dx.doi.org/10.3390/jpm12121974 |
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author | Verma, Anurag Damrauer, Scott M. Naseer, Nawar Weaver, JoEllen Kripke, Colleen M. Guare, Lindsay Sirugo, Giorgio Kember, Rachel L. Drivas, Theodore G. Dudek, Scott M. Bradford, Yuki Lucas, Anastasia Judy, Renae Verma, Shefali S. Meagher, Emma Nathanson, Katherine L. Feldman, Michael Ritchie, Marylyn D. Rader, Daniel J. BioBank, For The Penn Medicine |
author_facet | Verma, Anurag Damrauer, Scott M. Naseer, Nawar Weaver, JoEllen Kripke, Colleen M. Guare, Lindsay Sirugo, Giorgio Kember, Rachel L. Drivas, Theodore G. Dudek, Scott M. Bradford, Yuki Lucas, Anastasia Judy, Renae Verma, Shefali S. Meagher, Emma Nathanson, Katherine L. Feldman, Michael Ritchie, Marylyn D. Rader, Daniel J. BioBank, For The Penn Medicine |
author_sort | Verma, Anurag |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9785650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97856502022-12-24 The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population Verma, Anurag Damrauer, Scott M. Naseer, Nawar Weaver, JoEllen Kripke, Colleen M. Guare, Lindsay Sirugo, Giorgio Kember, Rachel L. Drivas, Theodore G. Dudek, Scott M. Bradford, Yuki Lucas, Anastasia Judy, Renae Verma, Shefali S. Meagher, Emma Nathanson, Katherine L. Feldman, Michael Ritchie, Marylyn D. Rader, Daniel J. BioBank, For The Penn Medicine J Pers Med Article 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. MDPI 2022-11-29 /pmc/articles/PMC9785650/ /pubmed/36556195 http://dx.doi.org/10.3390/jpm12121974 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Verma, Anurag Damrauer, Scott M. Naseer, Nawar Weaver, JoEllen Kripke, Colleen M. Guare, Lindsay Sirugo, Giorgio Kember, Rachel L. Drivas, Theodore G. Dudek, Scott M. Bradford, Yuki Lucas, Anastasia Judy, Renae Verma, Shefali S. Meagher, Emma Nathanson, Katherine L. Feldman, Michael Ritchie, Marylyn D. Rader, Daniel J. BioBank, For The Penn Medicine The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population |
title | The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population |
title_full | The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population |
title_fullStr | The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population |
title_full_unstemmed | The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population |
title_short | The Penn Medicine BioBank: Towards a Genomics-Enabled Learning Healthcare System to Accelerate Precision Medicine in a Diverse Population |
title_sort | penn medicine biobank: towards a genomics-enabled learning healthcare system to accelerate precision medicine in a diverse population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785650/ https://www.ncbi.nlm.nih.gov/pubmed/36556195 http://dx.doi.org/10.3390/jpm12121974 |
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