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Integration of large‐scale molecular networks and exomic data can identify Alzheimer's disease genes

We introduce a new approach to identify gene variants linked to common complex diseases. This method combines whole exome sequencing and large‐scale molecular network analysis. For proof of principle, we studied the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the Alzheimer’s Disease Sequencing Project (ADSP) cohorts. In each, we evaluated the coding variants of 16,087 genes in the context of their ∼6,471,000 gene‐gene interactions, and prioritized genes that sorted cases from controls.