B3774 - Selection bias in epigenome-wide association studies - 13/05/2021

B number: 
B3774
Principal applicant name: 
Matthew Suderman | Population Health Sciences, Bristol Medical School (UK)
Co-applicants: 
Title of project: 
Selection bias in epigenome-wide association studies
Proposal summary: 

Selection bias is pervasive in human studies and even more so for epigenome-wide association studies (EWAS) due to the relatively high costs of measuring DNA methylation. Although this bias is often acknowledged, its impact on findings has not been evaluated. We aim to perform such an evaluation for EWAS performed in ALSPAC. We will characterise selection by comparing the characteristics of ALSPAC participants measured at baseline with and without DNA methylation profiles and then estimate the resulting bias using simulations informed by the data.

Impact of research: 
A better understanding of the effects of selection bias in epigenome-wide association studies as well as advice for identifying and mitigating these effects in future studies.
Date proposal received: 
Thursday, 6 May, 2021
Date proposal approved: 
Thursday, 13 May, 2021
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), No specific diseases will be investigated., Computer simulations/modelling/algorithms, Statistical methods, Cohort studies - attrition, bias, participant engagement, ethics, Epigenetics, Statistical methods