We are interested in hearing from studies who have collected stuttering information, and have genome-wide genotyping data available, to contribute to a GWAS meta-analysis. If you are interested in collaborating, please contact: jackson.v@wehi.edu.au
Minimum data required:
From contributing studies, the following are required:
Phenotypes: As a minimum, it must be possible to derive an "ever stuttered" phenotype in your study. This may be from a self-report question (eg "Have you ever stuttered?"); any more in depth phenotyping would be a bonus!
Genotypes: Participants must have undergone genome-wide genotyping.
Population: We have no population / ancestry requirements from studies. We are particularly interested in hearing from studies with participants from diverse ancestries and populations that are under-represented in GWAS studies.
How do we contribute to the meta-analysis?
From contributing studies, we require standard GWAS summary statistics, in addition to summary phenotype information. We have generated a detailed analysis plan for phenotype cleaning, genetic data QC and association analyses, to ensure harmonisation of data.
Plans for the meta-analysis:
Using summary level data, we will undertake a GWAS meta-analyses, in parallel to a GWAS within our newly recruited cohort of people who stutter. We intend for these analyses to: a) act as independent replication for each other; b) be combined to form the largest analysis of stuttering to date.
