Title: | ukbpheno v1.0: An R package for phenotyping health-related outcomes in the UK Biobank |
Journal: | STAR Protocols |
Published: | 17 Jun 2022 |
Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35769930/ |
DOI: | https://doi.org/10.1016/j.xpro.2022.101471 |
Title: | ukbpheno v1.0: An R package for phenotyping health-related outcomes in the UK Biobank |
Journal: | STAR Protocols |
Published: | 17 Jun 2022 |
Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35769930/ |
DOI: | https://doi.org/10.1016/j.xpro.2022.101471 |
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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).</p>
Application ID | Title |
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74395 | Interpretion of health data with artificial intelligence for study of cardiovascular risk factors and their relation to diseases |
Enabling scientific discoveries that improve human health