Prioritizing candidate disease genes by network-based boosting of genome-wide association data
Abstract
Network "guilt by association" (GBA) is a proven approach for identifying novel disease genes based on the observation that similar mutational phenotypes arise from functionally related genes. In principle, this approach could account even for nonadditive genetic interactions, which underlie the synergistic combinations of mutations often linked to complex diseases. Here, we analyze a large-scale, human gene functional interaction network...
Paper Details
Title
Prioritizing candidate disease genes by network-based boosting of genome-wide association data
Published Date
May 2, 2011
Journal
Volume
21
Issue
7
Pages
1109 - 1121
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