Statistical Colocalisation of Genetic Risk Variants for Related Autoimmune Diseases in the Case of Common Controls

Mary Fortune (University of Cambridge)

Roscoe 1.001,

Determining whether potential causal variants for related diseases are shared can identify overlapping etiologies of multifactorial disorders. Colocalization methods disentangle shared and distinct causal variants. However, existing approaches require independent data sets. In this talk, I discuss the extension of these methods to allow for the shared-control design commonly used in comparison of genome-wide association study results across diseases.

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