| Title: | Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants |
| Journal: | Scientific Data |
| Published: | 31 Jan 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36720882/ |
| DOI: | https://doi.org/10.1038/s41597-023-01949-y |
| URL: | https://www.nature.com/articles/s41597-023-01949-y.pdf |
| Citations: | 38 (37 in last 2 years) as of 8 Aug 2024 |
Publication 7967
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Abstract
Metabolic biomarker data quantified by nuclear magnetic resonance (NMR) spectroscopy in approximately 121,000 UK Biobank participants has recently been released as a community resource, comprising absolute concentrations and ratios of 249 circulating metabolites, lipids, and lipoprotein sub-fractions. Here we identify and characterise additional sources of unwanted technical variation influencing individual biomarkers in the data available to download from UK Biobank. These included sample preparation time, shipping plate well, spectrometer batch effects, drift over time within spectrometer, and outlier shipping plates. We developed a procedure for removing this unwanted technical variation, and demonstrate that it increases signal for genetic and epidemiological studies of the NMR metabolic biomarker data in UK Biobank. We subsequently developed an R package, ukbnmr, which we make available to the wider research community to enhance the utility of the UK Biobank NMR metabolic biomarker data and to facilitate rapid analysis.10 Authors
- Scott C. Ritchie
- Praveen Surendran
- Savita Karthikeyan
- Samuel A. Lambert
- Thomas Bolton
- Lisa Pennells
- John Danesh
- Emanuele Di Angelantonio
- Adam S. Butterworth
- Michael Inouye
1 Application
| Application ID | Title |
|---|---|
| 30418 | Biomarker profiling by NMR metabolomics for the study of chronic disease risk and underlying risk factors |
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