An interactome perturbation framework prioritizes damaging missense mutations for developmental disorders.

ABSTRACT: Identifying disease-associated missense mutations remains a challenge, especially in large-scale sequencing studies. Here we establish an experimentally and computationally integrated approach to investigate the functional impact of missense mutations in the context of the human interactome network and test our approach by analyzing ~2,000 de novo missense mutations found in autism subjects and their unaffected siblings. Interaction-disrupting de novo missense mutations are more common in autism probands, principally affect hub proteins, and disrupt a significantly higher fraction of hub interactions than in unaffected siblings. Moreover, they tend to disrupt interactions involving genes previously implicated in autism, providing complementary evidence that strengthens previously identifie

SUBMITTER: Chen S 

PROVIDER: S-EPMC6314957 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature