@article{b964795c8ff84cac8ef1b895d7ffc001,
title = "ukbpheno v1.0: An R package for phenotyping health-related outcomes in the UK Biobank",
abstract = "The complexity and volume of data associated with population-based cohorts means that generating health-related outcomes can be challenging. Using one such cohort, the UK Biobank-a major open access resource-we present a protocol to efficiently integrate the main dataset and record-level data files, to harmonize and process the data using an R package named {"}ukbpheno{"}. We describe how to use the package to generate binary phenotypes in a standardized and machine-actionable manner. For complete details on the use and execution of this protocol, please refer to Yeung et al. (2022).",
keywords = "Bioinformatics, Health Sciences, Systems biology",
author = "Yeung, {Ming Wai} and {van der Harst}, Pim and Niek Verweij",
note = "Funding Information: This research has been conducted using the UK Biobank resource under application number 74395. We thank all UK Biobank participants for their contributions. M.W.Y. and N.V. conceptualized and developed the ukbpheno package and the protocols. M.W.Y. performed the analyses and wrote the manuscript. N.V. and P.v.d.H. reviewed and edited the manuscript. P.v.d.H. provided the data and project administration. N.V. is a full-time employee of Regeneron Pharmaceutical Inc. and receives stock options and restricted stock units as compensation. Publisher Copyright: {\textcopyright} 2022 The Author(s)",
year = "2022",
month = sep,
day = "16",
doi = "10.1016/j.xpro.2022.101471",
language = "English",
volume = "3",
number = "3",
}