| 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 |
| URL: | https://ars.els-cdn.com/content/image/1-s2.0-S2666166722003513-fx1_lrg.jpg |
| Citations: | 10 (10 in last 2 years) as of 8 Aug 2024 |
Publication 10334
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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).</p>
5 Keywords
- Biological Specimen Banks
- Humans
- Information Storage and Retrieval
- Phenotype
- United Kingdom
3 Authors
- Ming Wai Yeung
- Pim van der Harst
- Niek Verweij
1 Application
| Application ID | Title |
|---|---|
| 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