B3282 - Genomic prediction of 25 hydroxyvitamin D using lasso regression - 02/04/2019

B number: 
B3282
Principal applicant name: 
Tom Dudding | University of Bristol (UK)
Co-applicants: 
Nic Timpson, Ruth Mitchel, Simon Haworth
Title of project: 
Genomic prediction of 25 hydroxyvitamin D using lasso regression
Proposal summary: 
Impact of research: 
Although vitamin D supplementation is relatively safe and cheap the NHS still spent approximately £104 Million on vitamin D prescriptions in 2018 and testing for vitamin D deficiency is a expensive compared to other blood measures. This prediction tool may provide a way to rule out the need for testing by identifying individuals who have "genetically" high levels. This has the potential to streamline care for those suspected of vitamin D deficiency and save money.
Date proposal received: 
Tuesday, 2 April, 2019
Date proposal approved: 
Tuesday, 2 April, 2019
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), vitamin D deficiency, Statistical methods, Statistical methods