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• W2806000513 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 identified associations and enhances the discovery of new ones. Importantly, by analyzing de novo missense mutation data from six disorders, we demonstrate that our interactome perturbation approach offers a generalizable framework for identifying and prioritizing missense mutations that contribute to the risk of human disease." @default.
• W2806000513 created "2018-06-13" @default.
• W2806000513 creator A5011477209 @default.
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• W2806000513 date "2018-06-11" @default.
• W2806000513 modified "2023-10-17" @default.
• W2806000513 title "An interactome perturbation framework prioritizes damaging missense mutations for developmental disorders" @default.
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• W2806000513 doi "https://doi.org/10.1038/s41588-018-0130-z" @default.
• W2806000513 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6314957" @default.
• W2806000513 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29892012" @default.
• W2806000513 hasPublicationYear "2018" @default.
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