Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond

Václav Papez, Maxim Moinat, Erica A. Voss, Sofia Bazakou, Anne Van Winzum, Alessia Peviani, Stefan Payralbe, Michael Kallfelz, Folkert W. Asselbergs, Daniel Prieto-Alhambra, Richard J. B. Dobson, Spiros C. Denaxas

Abstract: The coronavirus disease 2019 (COVID-19) pandemic has demonstrated the value of real-world data for public health research. International federated analyses are crucial for informing policy makers. Common data models (CDMs) are critical for enabling these studies to be performed efficiently. Our objective was to convert the UK Biobank, a study of 500 000 participants with rich genetic and phenotypic data to the Observational Medical Outcomes Partnership (OMOP) CDM.