Amitabh Sharma

TL;DR: The map uncovers significant interconnectivity between known and candidate cancer gene products, providing unbiased evidence for an expanded functional cancer landscape, while demonstrating how high-quality interactome models will help "connect the dots" of the genomic revolution.

TL;DR: A network-based framework to identify the location of disease modules within the interactome and use the overlap between the modules to predict disease-disease relationships is presented and it is found that disease pairs with overlapping disease modules display significant molecular similarity, elevated coexpression of their associated genes, and similar symptoms and high comorbidity.

TL;DR: Using a genetic risk score based on 13 SNPs associated with coronary heart disease, the 20% of individuals of European ancestry who are at roughly 70% increased risk of a first coronaryHeart disease event are identified.

TL;DR: It is found that the symptom-based similarity of two diseases correlates strongly with the number of shared genetic associations and the extent to which their associated proteins interact.

TL;DR: This work functionally profile several thousand missense mutations across a spectrum of Mendelian disorders using various interaction assays, suggesting that disease-associated alleles that perturb distinct protein activities rather than grossly affecting folding and stability are relatively widespread.