Use of CLS cohort data in GWAS

The rich phenotyping of the CLS cohorts, longitudinal repeat measure data, and their high participation rates make them highly suitable for both discovery and holdout/prediction samples in GWAS.

To faciliate greater use of the CLS data, we have set up a streamlined internal process for including the CLS cohorts in large-scale collaborative GWAS. Under this process data can be stored locally at UCL and cleaned, managed and analysed by CLS analysts who have expertise in genetic data and experience conducting large-scale collaborative GWAS. Where this is not suitable, we are happy to provide support on data specific queries such as phenotype availability, definition and choice of measurement occasion.

If you would like to discuss this further, please contact Tim Morris and David Bann.