Poster Presentation GENEMAPPERS 2024

Evaluating the utility of polygenic scores for supporting diagnosis of cardiac genetic diseases (#80)

Utpala Nanda Chowdhury 1 , Baptiste Couvy-Duchesne 1 , Sonia Shah 1
  1. Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia

Traditionally, inherited cardiac diseases such as hypertrophic and dilated cardiomyopathies (HCM and DCM) have been considered to be monogenic diseases, caused by a single large-effect variant. But there is now mounting evidence of a polygenic contribution to these diseases. Whether an individual’s disease has a monogenic or polygenic cause may have implications around how they and their family members are managed. However, currently only monogenic variants are tested in the clinic. In Australia, a causal monogenic variant is only identified in around 30% of patients with an inherited cardiac disease. We hypothesise that testing for polygenic risk scores may help explain the cause of disease in a proportion of these patients which could inform the disease management strategy.

Using whole-genome sequence data in 433 individuals (216 female and 257 male) with a diagnosis of 4 different inherited cardiac diseases that are commonly seen in clinical practice, namely Atrial Fibrillation (AF), Hypertrophic Cardiomyopathy (HCM), Dilated Cardiomyopathy (DCM), and Long-QT Syndrome (LQTS) from the Australian Genomics Health Alliance cohort,  we determine what proportion of individuals have a relevant PRS that is within the top 5th percentile of the population distribution, and may therefore imply a high polygenic burden as the cause for disease.  Our findings will enhance our understanding of the clinical utility of PRS for supporting the diagnosis of inherited cardiac diseases.