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Standardized Architecture for a Mega-Biobank Phenomic Library: The Million Veteran Program (MVP).


ABSTRACT: Electronic health records (EHRs) provide a wealth of data for phenotype development in population health studies, and researchers invest considerable time to curate data elements and validate disease definitions. The ability to reproduce well-defined phenotypes increases data quality, comparability of results and expedites research. In this paper, we present a standardized approach to organize and capture phenotype definitions, resulting in the creation of an open, online repository of phenotypes. This resource captures phenotype development, provenance and process from the Million Veteran Program, a national mega-biobank embedded in the Veterans Health Administration (VHA). To ensure that the repository is searchable, extendable, and sustainable, it is necessary to develop both a proper digital catalog architecture and underlying metadata infrastructure to enable effective management of the data fields required to define each phenotype. Our methods provide a resource for VHA investigators and a roadmap for researchers interested in standardizing their phenotype definitions to increase portability.

SUBMITTER: Knight KE 

PROVIDER: S-EPMC7233040 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Standardized Architecture for a Mega-Biobank Phenomic Library: The Million Veteran Program (MVP).

Knight Kathryn E KE   Honerlaw Jacqueline J   Danciu Ioana I   Linares Franciel F   Ho Yuk-Lam YL   Gagnon David R DR   Rush Everett E   Gaziano J Michael JM   Begoli Edmon E   Cho Kelly K  

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science 20200530


Electronic health records (EHRs) provide a wealth of data for phenotype development in population health studies, and researchers invest considerable time to curate data elements and validate disease definitions. The ability to reproduce well-defined phenotypes increases data quality, comparability of results and expedites research. In this paper, we present a standardized approach to organize and capture phenotype definitions, resulting in the creation of an open, online repository of phenotype  ...[more]

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