LUKB: preparing local UK Biobank data for analysis

Xiangnan Li; Yaqi Huang; Shuming Wang; Meng Hao; Yi Li; Hui Zhang; Zixin Hu

doi:10.1093/bioadv/vbae176

LUKB: preparing local UK Biobank data for analysis

Bioinform Adv. 2024 Nov 9;4(1):vbae176. doi: 10.1093/bioadv/vbae176. eCollection 2024.

Authors

Xiangnan Li^{1

2}, Yaqi Huang³, Shuming Wang³, Meng Hao³, Yi Li³, Hui Zhang^{3

4}, Zixin Hu^{1

5

6}

Affiliations

¹ Shanghai Pudong Hospital, Fudan University, Shanghai, 201399, China.
² State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, 200438, China.
³ Human Phenome Institute, Fudan University, Shanghai, 201203, China.
⁴ Zhangjiang Fudan International Innovation Centre, Fudan University, Shanghai, 201210, China.
⁵ Artificial Intelligence Innovation and Incubation Institute, Fudan University, Shanghai, 201210, China.
⁶ Shanghai Academy of Artificial Intelligence for Science, Shanghai, 200240, China.

Abstract

Motivation: The UK Biobank data holds immense potential for human health research. However, the complex data preparation and interpretation processes often act as barriers for researchers, diverting them from their core research questions.

Results: We developed LUKB, an R Shiny-based web tool that simplifies UK Biobank data preparation by automating these preprocessing tasks. LUKB reduces preprocessing time and integrates functions for initial data exploration, allowing researchers to dedicate more time to their scientific endeavors. Detailed deployment and usage can be found in the Supplementary Data.

Availability and implementation: LUKB is freely available at https://github.com/HaiGenBuShang/LUKB.