B4762 - Preparation of new and updated NMR data for general release - 02/12/2024

B number: 
B4762
Principal applicant name: 
Laura Corbin | University of Bristol (United Kingdom)
Co-applicants: 
Ms. Maryam Makanvand, Amy Dawes, Professor Nicholas Timpson
Title of project: 
Preparation of new and updated NMR data for general release
Proposal summary: 

Nuclear Magnetic Radiation (NMR) Data assesses systematic metabolites in blood samples at 4 exiting time points in the ALSPAC cohort (G1); age 7, age 15, age 18, and at age 24. 229 metabolites were quantified (149 concentrations plus 80 ratios derived from these) including cholesterol, triglyceride, and other lipid content in lipoprotein subclass particles (very-low-density lipoprotein (VLDL), intermediate-density lipoprotein (IDL), low-density lipoprotein (LDL), high-density lipoprotein (HDL)), apolipoprotein-B and apolipoprotein-A-1, fatty acids and amino acids, and inflammatory glycoprotein acetyls (Bell et al 2021). There are two new updates to this data:

1- Update to data: The latest version of Nightingale Health's NMR data (Quantification library version 2020), has been improved to provide more accurate measurements. These updates ensure that the concentration levels of various biomarkers better align with those measured by clinical tests and other laboratory methods. Additionally, the data used to calibrate lipoprotein subclasses (key indicators of cholesterol and cardiovascular health) has been extended. This updated version is identical to the dataset used for analysing UK Biobank's 500,000 plasma samples between 2021 and 2024.
2- New time point at age 30: Along with the already existing timepoint in the ALSPAC NMR dataset, a new timepoint is now available at age 30

The aim of this project is to prepare the new and updated data for general release.

Impact of research: 
Great impact, allowing availability and use of new ALSPAC NMR data to engage in wider research
Date proposal received: 
Friday, 29 November, 2024
Date proposal approved: 
Monday, 2 December, 2024
Keywords: 
Bioinformatics, NMR, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc.