Uncovering canine trait-driven disease associations using data from electronic medical records

Presenter Jonas Donner
Authors Jonas Donner (1), Oliver Forman (2), Jamie Freyer (3), Julia Labadie (3), Jason Huff (3), Becca Foran (3)
Affiliations (1) Wisdom Panel, Science & Diagnostics Division, Mars Petcare, Helsinki, Finland; (2) Wisdom Panel, Science & Diagnostics Division, Mars Petcare, Leicestershire, United Kingdom; (3) Wisdom Panel, Science & Diagnostics Division, Mars Petcare, Portland, United States
Presentation Type Talk


Integration of panel genetic testing using high density genotyping platforms into veterinary practice presents an unparalleled opportunity to perform genetic investigations into a wide range of conditions by linking clinical and genetic data. One observation made through such investigations is that many common disorders in dogs may be driven by the same variants underlying certain physical traits.

Whilst the number of dogs available for large-scale genome-wide association studies (GWAS) is vast through the use of electronic medical records (EMRs), thorough definition of cases which is usually the gold standard in companion animal GWAS is often difficult and limited to a single term check box definition, or a designation as a “healthy pet” for controls. We will therefore present replication studies for intervertebral disc disease (IVDD) and obesity as a proof of principle of our approach before presenting novel disease associations for several additional trait driven disorders.