Uncovering disease-disease relationships through the incomplete interactome

Topics: Food and Agriculture, Healthcare and Public Health, Homeland Security Theory Policy and Practice,

This paper uses a network-based framework to try and identify whether diseases are clustered in the same “interactome,” referring to the “network that integrates all physical interactions within a cell.” Ultimately, it finds that proteins associated with 226 diseases are clustered, meaning that when there tends to be a relationship between disease similarity, in terms of molecular similarity, gene co-expression, high comorbidity, and similar symptoms, the diseases also tend to overlap on the interactome.

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