Insights from spatial measures of intolerance to identify pathogenic variants in developmental and epileptic encephalopathies

Abstract

Developmental and epileptic encephalopathies (DEEs) are a group of epilepsies with early onset and severe symptoms that sometimes lead to death. While a number of genes have been successfully implicated, it remains challenging to identify causative mutations within these genes from the background variation present in all individuals due to disease heterogeneity. Our ability to detect likely pathogenic variants has continued to improve as in silico predictors of deleteriousness have advanced. We investigate their use in prioritising likely pathogenic variants in epileptic encephalopathy patient whole exome sequences and show that the inclusion of structure-based predictors of intolerance improve upon previous attempts to demonstrate enrichment within epilepsy genes.