B3043 - Applied epidemiology and the human gut microbiome evidence for causal effects versus confounded companionship - 30/01/2018

B number: 
B3043
Principal applicant name: 
Kaitlin Wade | Integrative Epidemiology Unit (United Kingdom)
Co-applicants: 
Professor Nicholas J Timpson
Title of project: 
Applied epidemiology and the human gut microbiome: evidence for causal effects versus confounded companionship
Proposal summary: 

The human gut microbiome is a large community of bacterial microbes, which interact to aid digestion, protect against pathogens and create essential metabolites. Whilst the gut microbiome has been implicated in adverse health outcomes, robust applied epidemiological evidence able to discern causation from correlation does not exist. With my expertise, data resources built in my current position, preliminary results, established collaborations and desire to work within this clinically relevant field, I am setting out to apply robust epidemiological and causal inference methods to human gut microbiome research. The proposed fellowship sits in a specific area for intended future research, in which I wish to establish myself as an academic leader, with the additional aims of further characterising the causal and functional role of the gut microbiome at scale (combining both metagenomics and metabolomics), understanding the range of modifiable causal risk factors that lead to gut microbiomic variation (using MR, randomized controlled trials and genotype-directed recall studies) and identifying therapeutic targets to migrate within an industry or pharmaceutical setting.

Date proposal received: 
Thursday, 11 January, 2018
Date proposal approved: 
Thursday, 11 January, 2018
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), This work will allow the interrogation of the effect of the gut microbiome on all diseases and health outcomes available in MR-Base and other cohorts., GWAS; Metabolomics - mass spectrometry and NMR data; statistical methods - applied epidemiology, Mendelian randomization and genotype-directed recall (recall-by-genotype analysis), Biological samples - metabolomics and microbiome data; genetic epidemiology; genetics and genomics; genome-wide association study; Mendelian randomization; metabolic - metabolism; methods; microbiome; and statistical methods