An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.

ABSTRACT: Alzheimer's disease (AD) has a strong genetic predisposition. However, its risk genes remain incompletely identified. We developed an Alzheimer's brain gene network-based approach to predict AD-associated genes by leveraging the functional pattern of known AD-associated genes. Our constructed network outperformed existing networks in predicting AD genes. We then systematically validated the predictions using independent genetic, transcriptomic, proteomic data, neuropathological and clinical data. First, top-ranked genes were enriched in AD-associated pathways. Second, using external gene expression data from the Mount Sinai Brain Bank study, we found that the top-ranked genes were significantly associated with neuropathological and clinical traits, including the Consortium to Establish a R

SUBMITTER: Lin CX 

PROVIDER: S-EPMC8769916 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature