Analysis of overlapping genetic association in type 1 and type 2 diabetes.

ABSTRACT:

Aims/hypothesis

Given the potential shared aetiology between type 1 and type 2 diabetes, we aimed to identify any genetic regions associated with both diseases. For associations where there is a shared signal and the allele that increases risk to one disease also increases risk to the other, inference about shared aetiology could be made, with the potential to develop therapeutic strategies to treat or prevent both diseases simultaneously. Alternatively, if a genetic signal co-localises with divergent effect directions, it could provide valuable biological insight into how the association affects the two diseases differently.

Methods

Using publicly available type 2 diabetes summary statistics from a genome-wide association study (GWAS) meta-analysis of European ancestry indi

SUBMITTER: Inshaw JRJ 

PROVIDER: S-EPMC8099827 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature