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Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants

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-fraction...

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Autores principales: Ritchie, Scott C., Surendran, Praveen, Karthikeyan, Savita, Lambert, Samuel A., Bolton, Thomas, Pennells, Lisa, Danesh, John, Di Angelantonio, Emanuele, Butterworth, Adam S., Inouye, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887579/
https://www.ncbi.nlm.nih.gov/pubmed/36720882
http://dx.doi.org/10.1038/s41597-023-01949-y
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author Ritchie, Scott C.
Surendran, Praveen
Karthikeyan, Savita
Lambert, Samuel A.
Bolton, Thomas
Pennells, Lisa
Danesh, John
Di Angelantonio, Emanuele
Butterworth, Adam S.
Inouye, Michael
author_facet Ritchie, Scott C.
Surendran, Praveen
Karthikeyan, Savita
Lambert, Samuel A.
Bolton, Thomas
Pennells, Lisa
Danesh, John
Di Angelantonio, Emanuele
Butterworth, Adam S.
Inouye, Michael
author_sort Ritchie, Scott C.
collection PubMed
description 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.
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spelling pubmed-98875792023-01-31 Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants Ritchie, Scott C. Surendran, Praveen Karthikeyan, Savita Lambert, Samuel A. Bolton, Thomas Pennells, Lisa Danesh, John Di Angelantonio, Emanuele Butterworth, Adam S. Inouye, Michael Sci Data Analysis 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. Nature Publishing Group UK 2023-01-31 /pmc/articles/PMC9887579/ /pubmed/36720882 http://dx.doi.org/10.1038/s41597-023-01949-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analysis
Ritchie, Scott C.
Surendran, Praveen
Karthikeyan, Savita
Lambert, Samuel A.
Bolton, Thomas
Pennells, Lisa
Danesh, John
Di Angelantonio, Emanuele
Butterworth, Adam S.
Inouye, Michael
Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants
title Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants
title_full Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants
title_fullStr Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants
title_full_unstemmed Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants
title_short Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants
title_sort quality control and removal of technical variation of nmr metabolic biomarker data in ~120,000 uk biobank participants
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887579/
https://www.ncbi.nlm.nih.gov/pubmed/36720882
http://dx.doi.org/10.1038/s41597-023-01949-y
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