Leveraging network analytics to infer patient syndrome and identify causal genes in rare disease cases.

Background: Next-generation sequencing is widely used to identify disease-causing variants in patients with rare genetic disorders. Identifying those variants from whole-genome or exome data can be both scientifically challenging and time consuming. A significant amount of time is spent on variant annotation, and interpretation.