B3486 - Mendelian randomisation analysis of the relationship between body composition BMI and related variables and Metabolon data - 24/03/2020

B number: 
Principal applicant name: 
Nicholas Timpson | University of Bristol (UK)
Mr Wenxin , Dr David Hughes, Dr Laura Corbin, Mr Matt Lee
Title of project: 
Mendelian randomisation analysis of the relationship between body composition (BMI and related variables) and Metabolon data.
Proposal summary: 

This work sits as part of a larger project to undertake a one sample MR analysis of the relationship between BMI and metabolon metabolite data in the Flemish Gut Fora Project.

The application here is to generate a training set of data for Wenxin (MSc student) from existing ALSPAC metabolon data. The aim here is to randomly select a sub-set of the ALSPAC BMI GRS Metabolon data - not for analytical/inferential worth, but for the purpose of allowing the student to develop scripts and analyses before getting hold fo FGFP data in full.

The proposal here would be fore direct users (included here) to randomly extract a sub-set of ALSPAC Metabolon data, to assign a random amount of error to that data set and to remove any ID reference from that data set. This dummy data set would then be used for the express purpose of understanding the format and nature of Metabolon metabolite data. Dr Hughs, Corbin or PhD student Matt Lee will be able to bring these data together (with a small set of relevant covariables). This should not generate burden for the ALSPAC data team.

Impact of research: 
It will allow immediate use of the the collaborator (Flemish Gut Flora Project) data when this becomes available. Importantly this will also provide an immediate training data set for Mr Wan.
Date proposal received: 
Tuesday, 24 March, 2020
Date proposal approved: 
Tuesday, 24 March, 2020
Epidemiology, Obesity, Metabolomics, BMI